00:02 OK,
00:03 so let's get going.
00:04 So hi everyone.
00:05 My name is Dion Filmer.
00:06 I'm the director of the World Bank's Development Research Group.
00:09 And uh welcome to this March edition of our policy research talk.
00:13 Um,
00:14 as some of you may know,
00:15 the talks give us an opportunity to present work
00:17 coming out of the research department at the bank,
00:20 uh,
00:20 with the goal of sharing the findings
00:21 with colleagues inside and outside the department,
00:24 uh,
00:24 along with others,
00:25 uh,
00:25 across the,
00:26 the World Bank and outside of it,
00:29 the World Bank Group and outside of it.
00:31 So with that I want to welcome our audience both on Webex as well as on YouTube.
00:35 Um,
00:36 today my colleague Alvaro Pedraza,
00:38 who's a research economist in the finance and
00:40 private sector development team in the department,
00:43 will present his research on the risks and opportunities from
00:46 the recent growth of market-based finance in developing countries.
00:50 So using a novel data set with the universe of
00:52 transactions in both equity and debt securities in Colombia,
00:56 Alvaro will talk about
00:57 the role of domestic and foreign investors in
01:00 these markets and the implications for market development.
01:03 We're very grateful today to have Susan Lund as a discussant.
01:07 Susan is the IFC Vice President for Economics and Private Sector Development.
01:13 Her team provides economic analysis to support IFC investments,
01:16 including macroeconomic outlooks,
01:19 country risk assessments,
01:20 and country private sector diagnostics.
01:23 Uh,
01:23 prior to joining the IFC,
01:25 Ms Lund spent over 20 years as a partner at McKinsey and Company
01:29 and leader of the McKinsey Global Institute,
01:32 which many of us know.
01:33 Wow.
01:34 In that role,
01:35 she served as research economist and an advisor
01:38 to companies and policymakers around the world.
01:41 So
01:42 I'll ask Alvaro to talk for approximately 45 minutes,
01:45 after which we'll hear from Susan for about 10 to 15 minutes.
01:49 We'll conclude the session with Q&A
01:51 from the audience.
01:52 Uh,
01:52 if you have a question,
01:53 please use the raised hand option in Webex
01:56 or signal to me in the chat that you have a question
01:58 and I will call on you and ask for you to,
02:01 to ask it out loud,
02:02 if you don't mind.
02:04 If you're following on YouTube,
02:05 please submit a question in the chat and that'll get relayed to me.
02:09 Just a reminder,
02:10 we're recording and I also ask that you please mute if you're not speaking.
02:14 So with that,
02:14 let me hand it over to you,
02:16 Albo.
02:17 Thank you,
02:18 Dion,
02:18 for the introduction.
02:19 Special thanks to Susan for joining us.
02:21 I look forward for a lively discussion at the end
02:23 and thanks to the audience for joining this conversation.
02:27 Um,
02:28 since the global financial crisis,
02:30 flows to,
02:31 uh,
02:31 flows of capital across borders
02:33 have experienced,
02:34 uh,
02:34 tremendous growth,
02:35 especially to emerging markets.
02:37 There has been an important shift in the landscape of,
02:40 of these flows,
02:41 of these closed border flows.
02:42 And let's take a,
02:43 a look at global banks,
02:44 for example,
02:45 and by that I mean banks that operate branches or subsidiaries in host countries.
02:50 According to the Bank of International Settlements,
02:53 the share of assets by foreign bank offices relative to
02:57 the banking sector where they operate
02:58 have been mostly stable over the last decade.
03:01 In the case of emerging markets hovering between 16
03:04 to 19% of the total assets in these countries.
03:07 Now,
03:08 in contrast,
03:09 for portfolio flows uh by institutional investors,
03:12 think about pension funds,
03:13 investment funds,
03:14 insurance companies,
03:15 government funds,
03:16 etc.
03:17 have experienced a major growth,
03:19 both in absolute and relative terms.
03:21 In the figure to your right,
03:22 you can see that
03:24 total flows to emerging markets reached 3.5 trillion
03:27 uh at the beginning of 2020,
03:29 right before,
03:30 before the COVID crisis.
03:33 Now,
03:33 these,
03:34 these are absolute numbers,
03:35 but
03:36 uh
03:37 But they look quite similar.
03:38 There's a similar trend if I were to show you
03:41 relative to domestic assets.
03:42 In this,
03:43 in this example,
03:44 in the case of Colombia,
03:45 I'm showing you the,
03:46 the holdings of sovereign bonds by non-residents.
03:48 Uh,
03:49 in 2020 and 2010,
03:51 uh,
03:52 in the beginning,
03:53 at the end of the last decade in 2010,
03:54 this looked quite
03:56 small relative to domestic assets
03:58 to the total,
03:58 uh,
03:59 debt outstanding.
04:00 Now,
04:00 by 2020,
04:01 the picture is quite different.
04:02 Total holdings by foreign investors represented more than
04:05 25% of the total debt outstanding by the,
04:08 by the Colombian government.
04:10 This,
04:11 this actually,
04:12 these numbers will be quite similar if I were to show you total investment by
04:16 foreign investors in domestic stocks in the case
04:18 of Colombia and in many emerging markets,
04:20 it will look
04:21 very similar.
04:22 Now,
04:22 despite these trends,
04:24 port portfolio disclosure
04:25 for
04:26 non-bank financial institutions and
04:29 individual,
04:29 for individual investors is actually quite limited.
04:32 Even if we were to look at uh do some domestic investors in these countries.
04:36 This perhaps best,
04:37 best put by uh,
04:39 uh,
04:39 an article in The Economist uh earlier from this year and I quote,
04:43 you can tell that the value of the global portfolio
04:45 investment has soared but not precisely what is invested,
04:48 um,
04:49 or by whom.
04:50 Now,
04:51 contrast that to,
04:52 to,
04:53 uh,
04:53 cross-border banking,
04:55 for example,
04:55 we know quite a lot about that because the BIS have been collecting
04:58 data on this for over 60 years in many countries and for,
05:02 for multiple banks.
05:04 So this growth in market-based finance represents an immense opportunity,
05:08 uh,
05:10 For the host countries that they're receiving these flows,
05:12 but it might be also masking some underlying important uh risks.
05:16 So in this talk,
05:18 I want to sort of give you an insider's look.
05:20 Um,
05:21 what if we were able to,
05:22 to observe detailed portfolio data,
05:24 uh,
05:24 portfolio holdings,
05:25 transactions of all investors participating in a market.
05:29 Even a very high frequency.
05:30 What's,
05:31 what sort of
05:32 uh
05:32 policy relevant questions could we address if that were,
05:34 that were the case.
05:35 So in particular,
05:36 I wanna,
05:36 uh,
05:37 to be concrete,
05:37 I want to
05:38 uh present research
05:40 uh
05:41 in a research partnership that we started with uh Universidad
05:44 de la Savana in Colombia and the Colombian Security Exchange
05:47 in which essentially we're allowed to look at the,
05:49 the universe of transactions and ownership of
05:52 both Colombian stock and bonds since 2006.
05:56 Um,
05:57 I hope that by the end of the talk,
05:58 you'll see that,
05:59 that
06:00 the research that I will present now,
06:01 we've only scratched off the surface,
06:03 but if anything,
06:04 the,
06:04 the results I'll present today are,
06:06 are perhaps a call,
06:07 uh,
06:08 for regulators around the world to think about how do we,
06:11 do we improve and we improve our coordination to have better data,
06:14 better portfolio data,
06:16 uh,
06:16 in,
06:16 in
06:17 cross-border in general.
06:19 So
06:20 just for clarity,
06:21 I divided the,
06:22 the talk into three sections.
06:23 Uh,
06:24 it's related to 3 different set of like research topics that we have in mind.
06:28 We're gonna be looking at asset demand elasticity,
06:30 owner ownership concentration in these markets,
06:33 and the promotion and the participation of investors in these,
06:35 in these countries.
06:37 Now,
06:37 without further ado,
06:37 let me,
06:38 let me start with the first,
06:39 the first set of,
06:40 of,
06:40 of analysis that we're looking at which is asset demand elasticity.
06:44 So by this,
06:45 what we have in mind is
06:46 think about how a shift in the specific demand for
06:49 for some assets will affect prices.
06:52 So the quantitative number,
06:53 the target that we have in mind is what is the price impact of a 1% demand shock.
06:57 If a group of investors
06:59 demand 1% of,
07:00 of the,
07:01 of the supply of an,
07:02 of a particular uh security of a particular asset.
07:05 What will be the price impact of that additional demand?
07:08 So that parameter is actually quite important for policymakers
07:11 and it's,
07:12 it's key to understand many questions in financial economics.
07:14 So,
07:15 at least 4,
07:16 maybe they're,
07:16 they're in different areas,
07:17 but
07:18 all of them are,
07:18 are important.
07:19 One would be,
07:20 is related to how
07:21 shifting foreign demand,
07:23 uh,
07:23 foreign asset demand affect domestic prices.
07:25 It's also,
07:26 it's important to estimate the impact from quantitative easing on asset
07:30 prices and we know that uh during the COVID crisis,
07:32 many developing countries
07:34 Um,
07:34 monetary authorities,
07:35 monetary authorities in these places
07:38 experience with asset purchases for the first time.
07:40 And we also know that,
07:42 that in the new phase when we're gonna see some,
07:44 some balance sheet uh reduction by,
07:47 by central banks in starting in the US and,
07:49 but then also in many other places that will have some impact,
07:51 uh,
07:52 for,
07:52 for asset prices in,
07:54 in these countries and in particular,
07:55 we think about
07:56 having impact on the distribution and duration of market risk across investors.
08:00 It's also directly related to,
08:02 to,
08:03 to policy
08:04 in the sense that think about Basil 3
08:06 and another risk-based capital regulation for non-bank financial institutions
08:10 that might affect the demand for some investors
08:13 of uh
08:14 uh
08:14 fixed income security.
08:15 So for example,
08:16 insurance companies might shift
08:18 or change.
08:18 The demand for,
08:19 for bonds,
08:20 uh,
08:21 for some set of bonds and that might affect a corporate yield.
08:23 And then finally,
08:24 but not,
08:24 not least,
08:25 uh,
08:25 as important,
08:26 we can use this,
08:27 this idea of asset demand elasticity
08:28 to assess how socially responsible investment
08:31 affect firms investment decision through the cost of capital.
08:34 And just to be more precise,
08:35 to think about a,
08:36 a simple
08:37 A simple example,
08:38 uh,
08:39 of,
08:39 of why,
08:40 why do we think this,
08:41 this measure
08:42 is,
08:42 is important.
08:43 So imagine we're in the middle,
08:44 we,
08:44 we have some,
08:45 some new shifts,
08:45 some new shock or new demand for green firms.
08:48 It might be because of regulation,
08:50 it might be because of preferences,
08:51 some,
08:51 some investors just want to purchase more,
08:53 more green assets.
08:54 So in a world where there's high
08:56 elasticity of substitution across assets across firms,
08:59 now you have a,
08:59 a residual group of investors that might be able to absorb that,
09:03 that shock or might be able to accommodate the shock
09:05 just by selling their green assets,
09:07 but they will immediately buy brown and,
09:08 and neutral firms.
09:10 So in this world,
09:10 there are no,
09:11 no price effects because there can easily accommodate the shock,
09:14 meaning that
09:15 the green firms actually don't see any,
09:16 any benefits in terms of uh improved,
09:19 at least in the short term where there,
09:20 there is a,
09:21 a fixed supply of assets.
09:23 They see no,
09:24 no reduction in,
09:25 in,
09:25 uh,
09:25 in funding costs,
09:26 for example.
09:27 In a world where there's low elasticity,
09:30 elasticity of substitution,
09:31 um,
09:32 between,
09:33 between assets and firms,
09:34 then in,
09:35 in that case,
09:35 the residual investor,
09:37 he won't,
09:37 he won't be able to easily accommodate the shock
09:40 and it will require a premium to actually sell,
09:42 uh,
09:43 uh,
09:43 absorb this new demand.
09:45 So in that world,
09:45 there are actually large price effects,
09:47 uh.
09:48 Uh,
09:48 on,
09:48 on the securities and then even so the,
09:50 the effect on green firms,
09:52 for example,
09:52 will be,
09:53 uh,
09:54 uh,
09:54 a required reduction in,
09:55 in,
09:55 in their funding costs.
09:56 So again,
09:57 all that to say that,
09:58 that this,
09:59 this,
09:59 the core of,
10:00 of this,
10:00 this part of the,
10:01 the analysis thinking about uh
10:03 why this demand elasticities uh matter.
10:06 So the way in which we're gonna think about this,
10:08 it's actually quite,
10:09 quite standard in the literature.
10:10 It's a shock that is being used quite tan.
10:13 It has been used in,
10:14 in,
10:14 in different contexts in,
10:16 in,
10:16 in,
10:16 in,
10:17 in finance
10:18 and it's this idea of index rebalancing.
10:20 So think about
10:22 uh this is
10:23 the case when we have additions and deletions of
10:26 stocks into of stocks and bonds into major indexes.
10:29 So for example,
10:30 the S&P 500,
10:31 Russell 2000.
10:32 So these,
10:33 these index recompositions um
10:35 entail sudden and large demand shocks for effective securities simply because
10:39 there are many investors that have very strict mandates to,
10:42 to follow or track this,
10:45 uh,
10:45 these indexes.
10:47 In the sense that they have to
10:49 build their portfolios,
10:50 they have to look exactly like,
10:51 um,
10:52 like,
10:52 like the index.
10:53 So there's a shock in demand for securities that,
10:56 that are included in the index,
10:57 uh,
10:58 and might be a negative demand shock if the securities excluded.
11:01 So it's a quite large literature on this and they,
11:04 they have been documented,
11:05 um,
11:06 there's extensive documentation of price effect in these,
11:08 in these cases.
11:10 But the evidence is,
11:11 is,
11:11 it's a little bit more blurry in terms of the,
11:13 the behavior of investors around these events because there's not usually
11:17 very good high frequency data on portfolio.
11:19 So what do investors do around these,
11:20 these events?
11:22 Um,
11:23 and even,
11:23 even low-frequency data only covers a subset of investors.
11:27 Now,
11:27 this is problematic if we're thinking about the demand elasticity because,
11:29 of course,
11:30 we need on the one hand,
11:30 we need prices,
11:31 price effects,
11:32 but we also need quantity.
11:33 So
11:34 who's trading and,
11:35 and by how much.
11:36 Um,
11:37 and even within the,
11:38 the most advanced studies using,
11:40 uh,
11:40 you know,
11:41 the
11:42 Best technology to,
11:43 to,
11:44 to estimate uh
11:45 the effect of these events,
11:46 the,
11:47 the estimates vary widely because they don't,
11:49 most authors don't actually see the
11:50 quantity,
11:51 so they have to make some,
11:52 some,
11:53 um
11:54 some estimation of,
11:55 of what,
11:55 what is the expectation or which type of investors will move around these events.
11:59 So,
12:00 in the case of Colombia with,
12:01 with uh all three co-authors uh just mentioned,
12:04 so Mariana Escobar from the Central Bank and two other
12:07 co-authors,
12:07 one here in the US and one in Italy.
12:08 So we were looking at,
12:09 um,
12:10 this,
12:11 this,
12:11 uh,
12:12 case of index rebalancing in the case of Colombia,
12:15 and we,
12:16 we use,
12:16 uh,
12:17 additions and deletions of Colombian stocks from MSCCI indexes.
12:20 So these are
12:21 Morgan Stanley Composite indexes,
12:23 and these are perhaps the most popular in
12:25 indexes in,
12:27 uh,
12:27 in emerging markets.
12:29 Um,
12:29 so basically what we're gonna look at is what happens when a
12:32 Colombian stock gets added to the index and when it gets deleted,
12:35 and we're gonna look at
12:36 prices,
12:36 price effects,
12:37 we're gonna examine changing quantities and very,
12:39 with very detail into
12:41 which types of,
12:42 of investors are,
12:43 are moving around these events.
12:44 And then finally,
12:45 with those 22 numbers,
12:46 we're gonna estimate the man elasticities.
12:49 So
12:50 for those of you who know this,
12:51 these,
12:51 these events and are familiar with index rebalancing,
12:53 uh,
12:54 this might not sound shocking,
12:55 but just,
12:56 just to give you an idea of how this looks like,
12:58 um,
12:58 Morgan Stanley would announce that a particular stock or a particular
13:02 new group of stocks is gonna be included in the index
13:04 that typically happens in the middle of the month
13:07 and then by the end of the month,
13:08 11 to 17 days,
13:10 uh,
13:10 later,
13:11 business days later.
13:13 Uh,
13:13 the stocks get actually,
13:14 um,
13:15 it,
13:15 the,
13:16 it,
13:16 you see the implementation when the stock actually,
13:19 uh,
13:19 it's included in the index.
13:21 So in terms of price effects,
13:23 we see that
13:24 most of the price effect is on the,
13:25 on the announcement,
13:26 right,
13:26 right around,
13:27 around zero.
13:28 There's some additional drift in,
13:29 in that the price of a stock that is included will,
13:32 will continue to increase,
13:33 uh,
13:34 somewhat,
13:35 but most of the price effect is,
13:36 is upfront.
13:38 Um,
13:38 in terms of flow,
13:39 so what happens with,
13:40 what are investors doing around these events and we can focus in the,
13:44 in the,
13:44 in this case,
13:45 we focus on foreign investors because for MSCI indices,
13:48 this is,
13:49 um,
13:49 it's mostly international investors that track these indexes.
13:52 And this is are the,
13:53 these are the,
13:53 to your right,
13:54 you can see the cumulative purchases,
13:56 um,
13:56 of foreign investors relative to total shares outstanding.
13:59 So the picture is a little bit different in the
14:01 sense that the announcement is made on day zero.
14:04 there's
14:05 only a small purchases relative to,
14:06 to total shares,
14:08 but the most of the action is actually,
14:10 actually happens on the implementation day.
14:12 Um,
14:14 overall,
14:14 we see that,
14:15 that these index events
14:17 generate sort of uh around 2.5,
14:19 2.6%
14:20 increase in the demand from,
14:22 uh,
14:23 from foreign investors into these domestic
14:25 stocks.
14:25 So you can see why these shocks are
14:27 very useful with,
14:27 with,
14:28 we can observe prices and we can also observe demands.
14:31 And
14:32 importantly,
14:32 we can not only observe demands but we can look
14:34 at a little bit beyond that and see what are
14:37 precisely foreign investors doing around these events.
14:40 So,
14:41 There are some investors that have very strict mandates and we think about this,
14:44 uh,
14:45 like
14:45 exchange-traded funds,
14:47 passive mutual funds that they literally track the index,
14:49 uh,
14:50 on a day to day basis.
14:51 So these investors,
14:52 as expected,
14:53 you,
14:54 we don't see or only a very small movement before the actual index,
14:58 uh.
14:58 Uh,
14:59 inclusion before the actual implementation date
15:01 and there's only quite small demand before that
15:04 and most of the action is
15:06 exactly on the event because this,
15:07 uh,
15:08 this,
15:08 this group of investors are very passive and
15:10 again they,
15:11 they just have very strict mandates to,
15:13 to track the,
15:14 uh,
15:14 track the index that they found.
15:16 But there's another group of,
15:18 of foreign investors that
15:19 perhaps,
15:20 uh,
15:20 are not necessarily strictly passive,
15:22 but they might use the index as a benchmark to track the performance,
15:25 for example.
15:26 And these investors I'll,
15:27 I'll,
15:27 I'll,
15:28 I'll just mention here,
15:29 let's say government funds which is the orange line,
15:32 uh,
15:33 um,
15:33 and you see that this
15:35 Despite that they're not explicitly passive funds,
15:37 they behave quite,
15:38 quite passively,
15:39 only rebalancing on this,
15:41 on,
15:41 on the day on the implementation.
15:42 Or let's say other pension funds,
15:44 foreign pension funds trade a lot during the implementation
15:47 date and then some active funds trade ahead,
15:48 but there's also quite some.
15:50 So if you see some active mutual funds,
15:52 they trade early,
15:53 but then,
15:54 uh,
15:54 they trade a lot during the implementation.
15:56 So this is just to say that,
15:58 that the shock not only affects very,
16:00 uh,
16:01 Funds with very strict mandates but also a larger group of,
16:04 of foreign investors
16:06 and actually in our estimates,
16:07 we see that,
16:08 that the effect on non-passive funds or those that we don't,
16:10 that not extremely passive,
16:12 it's almost twice as much as the,
16:14 uh,
16:14 as the,
16:15 the demand shock is almost twice as much as the one
16:18 for,
16:18 for passive funds.
16:20 Importantly,
16:20 and just 11 last comment on this,
16:22 on this figure,
16:23 um,
16:24 so we typically believe that arbitrators should be
16:27 helping to absorb the shock in the market and in this case,
16:30 we look at trading by hedge funds and interestingly,
16:33 yes,
16:33 they do trade in the opposite direction on the,
16:35 on,
16:35 of the index recomposition,
16:36 so it's,
16:37 it's the
16:38 red uh line in the bottom.
16:40 So they trade in the opposite direction,
16:41 but they're
16:42 The,
16:42 their choices are quite small to,
16:44 to absorb the shock.
16:46 So overall,
16:46 this,
16:46 this picture,
16:47 what it,
16:47 what in,
16:48 if we add all this,
16:49 this picture up,
16:50 so what we see is the following,
16:51 we see,
16:51 on the one hand,
16:52 yes,
16:52 there's large uh price effect around 5.5% of abnormal returns
16:57 uh between announcement and implementation and by the way,
16:59 by the way,
17:00 these price effects are permanent if we look 60 days,
17:02 3 months after the,
17:03 the implementation.
17:05 So what happens with changing quantities,
17:07 we see that there's a large increase in demand by foreign investors,
17:10 both passive and importantly non-passive funds,
17:12 and those are quite,
17:13 quite large,
17:14 and these are not absorbed by,
17:16 by arbitrators and the combination of these two things,
17:18 price effect,
17:19 uh,
17:19 large demands,
17:20 and not,
17:20 uh,
17:21 uh,
17:22 the fact that we don't see a lot of arbitrators trading in this case.
17:25 That,
17:25 that means that,
17:26 that the,
17:27 that stock demands are quite inelastic.
17:29 In our estimates,
17:29 we see that a 1% increase in the demand uh of these,
17:33 of these securities leads to a 3%
17:35 uh increase in stock prices.
17:37 Now,
17:37 uh,
17:38 this might just seem like an,
17:40 an,
17:41 uh,
17:41 uh,
17:42 an effect in secondary marketing prices,
17:43 but we know that this is important
17:45 in terms of the real effects and
17:47 And this is something that I wanna,
17:49 wanna highlight here.
17:50 We,
17:51 this will mean that firms will,
17:52 uh,
17:54 there will be a reduction in the,
17:54 in the cost of capital and there's some quite,
17:56 quite evidence on,
17:57 on this,
17:58 um,
17:58 but just to give you
18:00 one additional,
18:01 uh,
18:01 reason for why we want to care about not only
18:04 that,
18:04 that there are shocks into these markets but
18:07 that the composition and how these,
18:08 these,
18:09 these shocks are absorbed matters.
18:11 Uh,
18:11 in terms of,
18:13 um,
18:15 Spillover effects or real effects.
18:17 Um,
18:17 just,
18:18 just,
18:18 let me
18:19 briefly give you one additional example.
18:21 So
18:22 I'm going back to the picture I showed at the beginning that,
18:24 that holdings of sovereign bonds by non-residents actually
18:27 increased a lot in the last decade.
18:29 Um,
18:29 in 2014,
18:30 actually,
18:31 JPMorgan included five,
18:34 sovereign bonds from Colombia into their,
18:36 uh,
18:37 global indexes.
18:38 So that actually generated a lot of new demand shock from,
18:41 from foreign investors and the foreign
18:43 investors increased their demand in Colombian,
18:45 in Colombian bonds.
18:46 So there's one thing,
18:47 one important thing happening here is that,
18:49 so that demand has to be absorbed by someone.
18:52 And in this case,
18:53 uh,
18:53 there's this nice paper by,
18:55 by a co-author by Thomas Williams,
18:56 uh,
18:57 a few years ago
18:58 in which he shows that some domestic banks
19:01 that
19:02 participate as market makers in the Colombian foreign bond market,
19:05 they were the actual,
19:07 they were the ones that sold bonds to foreign investors.
19:09 So that's important because these banks actually,
19:11 the,
19:12 the shift in their balance sheets,
19:13 so they're sort of like this liquidity shock
19:15 meant that they have uh additional liquidity,
19:17 additional,
19:18 uh,
19:18 um.
19:19 You know,
19:19 by selling the sovereign bonds.
19:21 So Thomas actually shows that there is an increase in credit in the municipalities,
19:26 uh,
19:26 increasing lending by these banks
19:28 in municipalities that,
19:29 that these banks were operating prior to,
19:31 uh,
19:31 to,
19:32 to the shock.
19:33 So as I said,
19:33 not only this,
19:34 it's the fact that we can track this spillovers,
19:36 it,
19:37 it's important because we can see that the effect from,
19:39 from the demand shock,
19:40 from the foreign shock,
19:42 how this,
19:42 is,
19:42 uh,
19:43 trickles down into,
19:44 into the local economy and the financing,
19:46 it depends on how
19:47 domestic investors are actually to,
19:49 uh,
19:50 in this case,
19:50 domestic investors,
19:51 but,
19:51 you know,
19:52 the,
19:52 the other players of the,
19:53 what I,
19:53 what I call the receivable demand,
19:55 how are they able to,
19:56 to absorb this particular shock.
19:59 OK.
19:59 So
20:00 that's,
20:01 again,
20:01 that's sort of like a first look into,
20:03 we can use this data to think about asset
20:05 demand elasticity and in particular how foreign shocks,
20:07 uh,
20:08 how demand,
20:08 how shocks to foreign demand might,
20:10 might affect local prices and,
20:12 and the recomposition of,
20:13 of the balance sheet by domestic investors.
20:16 So,
20:17 I'll,
20:17 I'll shift my attention here to,
20:19 to a different topic and I'll,
20:20 I'll,
20:20 hopefully I'll be able to connect this uh by,
20:23 by the end of this,
20:23 this section of,
20:24 of,
20:24 of the talk
20:25 and it's about ownership concentration and liquidity.
20:28 Um,
20:29 so again,
20:30 I,
20:30 I mentioned something about foreign investors,
20:32 but let's focus,
20:33 let's change our focus to domestic investors in these,
20:35 in these countries.
20:36 So
20:37 we think about
20:38 not only domestic investors but in general
20:40 institutional investors as key players for development,
20:42 no,
20:42 they provide
20:43 professional management,
20:44 they provide funding for firms,
20:46 enhance market liquidity,
20:48 and they also promote.
20:49 Better corporate governance,
20:51 uh,
20:52 they promote transparency,
20:53 and they also might be,
20:55 uh,
20:55 might be very active in the corporate decisions of the firms where they invest.
20:59 So overall,
20:59 we tend to think about
21:01 institutional investors in the,
21:02 in these markets,
21:03 uh,
21:03 being,
21:04 um,
21:05 a,
21:05 a conduit for market,
21:06 market development and financial development.
21:08 Now,
21:09 the,
21:09 the problem with this is there's,
21:10 there,
21:10 there's a market friction that we often don't think about uh
21:14 uh in,
21:14 in,
21:15 in general and it's,
21:15 it's a problem with in developing,
21:17 not a problem,
21:17 but it's,
21:18 it's just a setting in developing countries
21:21 in which we know that business groups dominate uh private sector activity and
21:24 what I mean by business groups are just collections of listed companies,
21:28 listed and non-listed companies
21:30 with significant amount of,
21:31 of common ownership.
21:33 Um,
21:33 so think about,
21:34 uh,
21:35 Keretus in Japan,
21:36 Chaebols in,
21:37 in South Korea.
21:38 So the,
21:38 this,
21:39 are groups that there's a lot of,
21:41 uh,
21:41 common ownership among them.
21:42 Now,
21:43 importantly,
21:43 if we,
21:45 there's,
21:45 in this case,
21:46 money management institutions,
21:47 so think about pension funds,
21:49 investment companies,
21:50 they typically have tied to,
21:51 to these business groups.
21:52 So,
21:52 so in a way,
21:53 we're starting in a world in which we think
21:56 institutional investors are completely independent and
21:58 they might help better corporate governance,
22:00 and enhance market liquidity and so on.
22:02 But that's,
22:02 that's a setting which,
22:03 in which these companies,
22:04 again,
22:05 these management companies are completely independent from,
22:07 from,
22:08 from the operation of,
22:09 of,
22:10 of,
22:10 of the business groups in,
22:11 in the country,
22:11 but that's not the case.
22:12 We know that these,
22:13 these companies actually have very
22:15 strong ties to business group in these countries.
22:17 So
22:18 that,
22:18 that generates an important friction uh in these markets.
22:22 Um,
22:22 on the one hand,
22:23 it,
22:23 it enhances managerial entrenchment because
22:26 institutional investors that belong to the group actually might,
22:28 you know,
22:28 might help protect the company.
22:30 Um,
22:31 and it might increase the,
22:33 the agency costs for minority shareholder shareholders,
22:36 um,
22:37 in my vote in,
22:38 in the,
22:39 uh,
22:39 in the board to,
22:41 to promote,
22:41 uh,
22:42 um,
22:43 uh,
22:43 corporate,
22:44 uh,
22:44 corporate decisions that might not be beneficial to,
22:47 uh,
22:48 to minority shareholders.
22:49 Think about,
22:49 uh,
22:50 not paying the,
22:51 no,
22:51 no,
22:52 not doing any dividend payments or,
22:53 and so on.
22:55 It's,
22:55 there's also an additional friction that is quite important is that,
22:57 that these institutional investors might access
23:00 to private information in affiliated firms,
23:02 uh,
23:03 because they belong to the group,
23:04 they,
23:04 they,
23:05 they know
23:06 the,
23:06 the corporate activity of the companies in the group and they,
23:09 that access to information might be useful into the timing,
23:12 how they,
23:12 they buy into and out of these,
23:14 these securities.
23:15 So overall,
23:16 the,
23:16 what I'm,
23:16 what I'm trying to say is that this,
23:18 this ownership concentration and this business group ties,
23:20 this,
23:21 all this relationship.
23:22 Might,
23:22 on the one hand,
23:23 you know,
23:23 exacerbate information as as symmetries and it might discourage investment uh
23:28 from all investors and
23:30 might also increase uh capital costs.
23:33 Meaning so that there is,
23:34 there is this disconnect between what we think theoretically that,
23:36 that an institutional investor,
23:38 institutional investor might,
23:40 might behave in this market
23:42 when,
23:42 when we're in,
23:43 in reality,
23:44 these,
23:44 these institutional investors are connected to,
23:46 to,
23:47 uh,
23:47 business groups.
23:48 So
23:49 just to give you an idea,
23:50 some of you might be quite familiar with business groups,
23:52 but these are hopefully a quite a good example in which we,
23:55 we can like sort out this connection.
23:57 So
23:58 let me start,
23:58 let me start on the left.
24:00 The bottom left
24:01 where you see group of articles.
24:02 So this is,
24:03 uh,
24:04 bottom left.
24:04 So this is
24:05 an investment holding company
24:07 that we has,
24:08 which has interest in infrastructure,
24:10 cement,
24:11 energy,
24:11 and so on.
24:12 So this is,
24:13 this company,
24:14 which all these companies I'm showing you here are publicly listed in the,
24:17 in the domestic stock market.
24:19 So
24:20 this company owns,
24:22 let's say,
24:22 58% of the cement company which is called Argos,
24:25 52% of Celsa,
24:26 which is an energy company,
24:28 but I'm gonna focus on the lower right,
24:29 so in,
24:30 on the low,
24:31 lower here.
24:32 Uh,
24:32 so they own almost 10% of
24:34 a food company that's called NTRSA.
24:36 So,
24:37 Argos,
24:38 uh,
24:38 owns 10% of NTRSA,
24:41 food and food industry.
24:42 Uh,
24:42 and there's also another uh investment company which is called Grupozura,
24:46 and they also hold
24:47 Uh,
24:48 they have,
24:48 also have important holdings in different companies.
24:50 If we look at the ownership in Nutresa,
24:52 it's 35%.
24:53 So
24:54 between these two companies,
24:55 they own,
24:55 let's say 45% of,
24:57 of this,
24:58 uh,
24:58 food,
24:59 food company.
25:00 Now
25:03 Where do institutional investors come in play here?
25:05 So
25:05 at the top right,
25:06 you see there is one pension fund management company,
25:09 which is
25:09 the majority shareholder is Gruppourra,
25:12 again,
25:12 an investment company,
25:13 um,
25:14 an investment holding company.
25:16 Uh,
25:16 so this
25:18 institutional investor,
25:19 it manages
25:20 defined contribution pension accounts in the country.
25:23 Um,
25:24 and their investments,
25:25 uh,
25:26 of,
25:26 of this,
25:26 the,
25:27 the investments of this company are also,
25:31 uh,
25:31 a,
25:31 a large portion of them are also in,
25:33 in stocks in the country and in,
25:35 in,
25:35 in a,
25:35 in a large proportion in companies of the same group.
25:38 So you,
25:38 you start seeing this web of,
25:40 of ownership
25:41 in which protection,
25:42 they also have ownership in NUTRSA which is around 6%,
25:45 well,
25:46 back then it was around 6 to 7%.
25:49 So overall,
25:49 what,
25:50 what the business group through their,
25:52 their,
25:52 their web of ownership and through institutional investors,
25:55 they increase their,
25:56 their,
25:57 their ownership in the company and even though
25:58 it might look like ownership is quite diffuse,
26:01 it's actually very concentrated in the end.
26:05 So
26:06 why,
26:06 why is all this,
26:07 uh,
26:08 why do all these matters?
26:09 And again,
26:09 as I said,
26:10 the,
26:11 the my increase uh asymmetric information in these markets.
26:14 So
26:15 again,
26:15 looking at this,
26:15 this trading data and how investors behave in these markets,
26:19 we actually look,
26:19 um,
26:20 uh,
26:21 uh,
26:21 in a paper it's entitled uh Informed Trading Business Group.
26:24 We,
26:25 we look at,
26:26 uh,
26:26 we found evidence,
26:27 we found actually systematic evidence of informed trader trading in,
26:31 uh,
26:31 by institutional investors in companies that belong to the same business group,
26:34 meaning
26:35 how do institutional investors trades in companies that are affiliated.
26:38 Now,
26:39 since a picture says more than 1000 words,
26:41 I'll give you one example of how this,
26:43 this looks like.
26:44 So
26:45 this was back in 2009,
26:46 uh,
26:47 a particular company in one of the largest business
26:50 group in Colombia announced that they were going to
26:52 To,
26:53 um,
26:53 to acquire one of the largest energy,
26:55 energy production,
26:56 uh,
26:56 companies in the country.
26:58 That was announced,
26:58 uh,
26:59 late September that year.
27:01 So
27:02 Um,
27:02 in blue,
27:03 in the blue line,
27:03 you see the,
27:04 the purchases of,
27:06 uh,
27:06 the pension fund,
27:07 uh,
27:08 that's affiliated with that particular business group,
27:10 and you can see that the way in advance they started,
27:13 uh,
27:13 started purchasing shares in that company
27:16 while all pension funds in the country or,
27:18 um,
27:18 uh,
27:19 pension fund management companies,
27:20 uh,
27:21 on average were actually just,
27:22 uh,
27:23 they were net sellers at the beginning and they,
27:24 they,
27:25 they only did some minor purchases,
27:26 uh,
27:27 before the announcement and they increased
27:29 their purchasing right after the announcement.
27:31 So,
27:31 of course,
27:31 you're,
27:31 you're probably thinking,
27:32 well,
27:33 we're,
27:33 we're doing some sort of,
27:34 some sort of forensic finance to try to see where they're,
27:37 they're,
27:37 uh they're gaining for the informa from the information that they have.
27:41 And
27:42 the flip side of this,
27:43 of course,
27:43 is because they trade in advance when the news came
27:45 out and this was positive news to the market,
27:48 the,
27:48 the company that traded early,
27:49 it generated over 40% in excess returns
27:52 versus um
27:53 other funds that were not affiliated.
27:55 Now,
27:56 this is,
27:57 I,
27:57 I don't expect to surprise anybody with these results.
27:59 We're not thinking that these,
28:00 these players might behave altruistically in any way,
28:03 but,
28:04 but it has,
28:04 it has uh some,
28:06 some important implications and as I said,
28:08 we,
28:08 we,
28:09 we did this
28:10 at the end,
28:10 what we try to do is we look at
28:12 corporate events and we,
28:13 we try to see where they consistently we're using
28:15 sort of uh private information in these cases.
28:18 But
28:19 the reason why this matters it's it for financial development is,
28:22 it's,
28:22 it's actually manifold.
28:23 I mean,
28:23 on the one hand,
28:24 we have that,
28:25 you know,
28:25 adverse selection discourages outside investors
28:27 to participate in these markets.
28:29 And it actually increases the agency costs for minority shareholders.
28:32 We actually,
28:33 we use um
28:34 the merger between pension fund management companies um
28:38 during that time
28:39 to actually estimate the effects on liquidity and cost of capital.
28:42 So actually to get some causal,
28:44 causal inference into
28:45 what does it entail for liquidity in this market and the cost of capital for firms.
28:49 And interestingly enough,
28:50 we found that,
28:50 that
28:51 some of these stocks actually trade at a large discount between 8 to 15%.
28:55 Now,
28:55 if you're a company that belongs to a business group,
28:57 yeah,
28:58 there might be some higher cost of capital,
29:00 but you might be able to offset,
29:01 offset that because you have internal capital with,
29:03 with the business group.
29:05 So it's a trade-off between the group is relinquishing control by uh having a lower,
29:09 lower,
29:09 uh,
29:10 um,
29:11 lower ownership
29:12 or it might have some higher cost of capital,
29:14 um,
29:15 low,
29:16 let's say low stock prices,
29:18 higher funding costs,
29:18 and so on,
29:19 but,
29:19 but at the same time,
29:20 it has more control.
29:21 So it's this,
29:21 this trade-off between control and
29:23 And,
29:24 and the cost of capital.
29:25 On aggregate on equilibrium,
29:26 the important thing here is that,
29:27 that there's,
29:29 in equilibrium what we see is that there are,
29:30 there's a reduction in the incentive for public listing.
29:34 So,
29:35 um,
29:35 if you're a company that have no business group affiliation,
29:38 it's highly unlikely that you will,
29:39 um,
29:39 you will list in these markets because of this,
29:41 this cost of capital.
29:42 So in equilibrium,
29:43 what you see in this market is that you either,
29:45 most of the majority of companies are
29:47 either state-owned or they belong to,
29:49 to a,
29:50 uh,
29:50 to a business group.
29:51 Now,
29:52 Uh,
29:53 I,
29:54 it actually,
29:55 importantly,
29:56 and this is how it connects to the,
29:57 to the,
29:57 the,
29:58 the evidence that I showed you earlier,
30:00 uh,
30:01 during the last decade,
30:02 in the,
30:02 in,
30:03 in between 2010 and 2020 when flows from foreign investors
30:06 actually grew at a tremendous rate in the country.
30:09 Actually,
30:10 there were more delistings in,
30:11 in the stock market than new listings.
30:13 There were only a couple of listings and more delistings than,
30:16 than new listings in the stock market.
30:17 So actually the market contracted during this time and this is,
30:20 this is quite interesting because those flows of,
30:23 of capital from abroad
30:24 were,
30:25 was not transformed into deeper,
30:27 deeper stock market in this case and we,
30:29 we sort of have a general sense that
30:31 this is
30:32 actually quite related to the ownership structure of these firms in,
30:35 in this market.
30:36 So in a way,
30:37 it's a constraint to,
30:38 to capital market,
30:39 uh,
30:39 development.
30:41 OK.
30:42 Um,
30:42 and then finally,
30:43 let me take the last,
30:44 um,
30:45 the,
30:45 the last part of the talk to,
30:46 to focus on a,
30:48 on,
30:48 on,
30:49 on a different,
30:49 on a different topic.
30:51 We,
30:52 in the first two,
30:52 I've talked about uh how a shock to foreign investors affect,
30:56 uh,
30:56 their demand for domestic securities and where those have price effects
30:59 and we sort of mentioned only price effect but real effects in terms of funding,
31:03 funding costs and so on.
31:04 And then we look at
31:05 um
31:06 uh ownership and
31:08 domestic institutional investors and how they,
31:11 they might,
31:11 yes,
31:12 they,
31:12 we,
31:12 we expect that they,
31:13 they,
31:14 they,
31:14 they allow the market their,
31:16 their,
31:16 their tools to improve uh uh financial development but there means,
31:20 there might be some friction that actually constrain this,
31:22 their,
31:22 their effect.
31:23 But,
31:23 and then finally,
31:24 let me think about one group that,
31:25 that it's also worth taking a look at,
31:27 uh,
31:28 uh,
31:28 as an,
31:28 as an important investor in this market and those are individual investors.
31:32 Think about retail investors,
31:33 small investors.
31:34 And what are they doing,
31:35 how do they enter and exit this market.
31:37 So,
31:38 in general,
31:38 we think about,
31:38 you know,
31:39 stock,
31:39 stock market participation by individual investors.
31:43 So
31:43 we know,
31:44 we know that,
31:45 um,
31:45 so it,
31:46 it's sort of again like to complete the picture of foreign investors,
31:49 domestics,
31:50 and,
31:50 and then individual investors.
31:52 So we know that,
31:53 that for individual investors in,
31:55 and,
31:55 and many investors in general,
31:57 information sharing with,
31:58 with peers,
31:59 you know,
31:59 social interaction,
32:00 it plays an important role for financial decision making in general,
32:03 but in particular is,
32:04 we know that it's,
32:05 it's quite important for stock market participation,
32:07 for portfolio choice,
32:08 saving decisions,
32:09 and so on.
32:10 Um.
32:12 And actually,
32:12 there's quite some lit,
32:13 there's some literature that shows that
32:15 social interactions improves financial literacy,
32:17 improves saving decision,
32:19 debt management,
32:20 how do we manage credit cards,
32:21 and so on.
32:22 Uh,
32:22 but there's also evidence that pre-influence might
32:25 be a conduit for spreading biases and,
32:27 and investment mistakes.
32:29 So,
32:30 um,
32:31 In a way,
32:32 so we know that,
32:33 that again,
32:33 on the one hand,
32:34 period interactions might improve financial decision,
32:36 but it might also be,
32:38 be,
32:38 be spreading biases.
32:40 Uh,
32:40 and we know that individual investors when they
32:43 invest actively,
32:44 they,
32:44 they tend to generate inferior returns.
32:46 OK,
32:47 so the question that we had when we're uh looking at this is
32:50 where interactions by in the,
32:51 in,
32:52 where social interactions in general exac exacerbate or mitigate this tendency,
32:56 meaning do they
32:56 actually make
32:58 investors better at,
32:59 at,
32:59 at,
33:00 uh,
33:01 at
33:01 their portfolio decisions or they're actually worse,
33:04 uh,
33:04 and,
33:05 and enhance the typical biases that we see among investors.
33:08 Now,
33:09 going back to what we've been,
33:11 what,
33:11 what I've been showing you,
33:12 the fact that we have some,
33:13 some nice data,
33:14 some nice access to the universe of transactions,
33:16 we can actually
33:17 try to do some of this.
33:19 So in a paper with,
33:20 uh,
33:20 with Laura Escobar,
33:22 um,
33:23 it says it's just a,
33:23 uh,
33:23 it's a recent paper,
33:25 um,
33:25 and I'm,
33:26 I'm looking forward,
33:26 I know,
33:27 I know there's some comments on this,
33:28 some important comments of this because
33:29 actually individual investors have been quite,
33:31 there's been quite some growth of individual investors in,
33:34 in recent times.
33:36 Um,
33:37 in,
33:37 in many markets and we can,
33:38 we can get back to that.
33:39 So
33:40 what we're gonna do,
33:41 what we're doing in these papers,
33:41 we're gonna identify peer effects in stock market participation.
33:45 We're gonna think about how,
33:46 how investors transmit their strategies,
33:48 their decisions across individuals when they interact.
33:51 And
33:51 what we did is we use a natural experiment which was a high stakes,
33:55 high-stake environment
33:56 and this is a setting in which there was a national uh program uh for students to train
34:01 and study about stock trading and,
34:04 and
34:05 Stock market in general.
34:07 So we sort of combined this,
34:08 this uh financial training program,
34:10 this national financial training program,
34:12 um,
34:13 with the,
34:15 with our data on,
34:15 on,
34:15 on stock transactions,
34:16 and we also did some survey on social interactions in this,
34:19 in this,
34:20 uh,
34:20 in these classes.
34:22 So,
34:22 Again,
34:23 let me,
34:23 let me show you,
34:24 show you a picture of what we have in mind here.
34:25 So this was,
34:26 it was a national strategy
34:28 in which um
34:30 the stock exchange actually
34:32 through
34:32 a partnership with universities,
34:34 with chambers of commerce in many different cities in the,
34:37 in the country,
34:38 uh,
34:38 start a program to,
34:39 to teach people how to,
34:40 to invest in the stock market.
34:42 Uh,
34:43 there were over 1300 such courses and,
34:46 uh,
34:47 close to 20,000 students in these classes,
34:49 um,
34:50 all throughout the country.
34:51 So
34:53 the,
34:53 the important thing here is that,
34:54 so a group of students,
34:55 let's say around 16 students sit in a classroom to learn about the stock market,
34:59 learn about stock trading,
35:00 and so on.
35:01 But
35:01 the,
35:02 the assignment to students to these
35:04 courses are not based on,
35:06 on experience,
35:07 are not based on uh on education.
35:11 Uh,
35:11 gender or anything.
35:12 It's just simply,
35:13 it's a sign based on
35:14 purely on,
35:15 um,
35:17 Uh,
35:17 uh,
35:17 uh,
35:18 on availability.
35:19 So it's sort of this quasi,
35:20 um,
35:21 uh,
35:22 quasi,
35:23 uh,
35:23 quasi random assignment,
35:25 not,
35:25 not entirely random,
35:26 but some quasi-random in the sense that
35:28 you don't know your classmate ex ante,
35:30 uh,
35:31 most of them at least when you registered to,
35:33 to these,
35:33 to these courses.
35:34 So you might be sitting down in a class where
35:36 all the students in that class have no experience,
35:39 meaning they,
35:39 they haven't traded before,
35:41 they've never purchased a stock
35:42 or,
35:43 or,
35:43 or,
35:44 um.
35:45 Uh,
35:45 or a bond in general,
35:46 but in this case,
35:46 we're gonna just focus on stocks.
35:48 They,
35:48 they never purchased the stock.
35:49 But there's some students that you sit in a classroom and that might have some,
35:53 some experience,
35:53 and I,
35:54 I,
35:54 I draw them here as uh this,
35:55 this shade of,
35:57 of gray
35:58 and
35:58 their actual experience
36:00 might matter.
36:01 Some of them might have traded in the
36:02 past and they might have some negative experience,
36:05 meaning some negative outcomes,
36:06 they traded.
36:07 They have a really poor performance
36:09 and some of them actually have some positive performance when they traded,
36:12 they
36:12 bought a stock at a good time and then the stock went up and,
36:16 you know,
36:16 that,
36:16 that's sort of,
36:17 we,
36:17 we qualify as a,
36:18 as a positive outcome for,
36:19 for that investors.
36:21 So what we did again using uh leveraging with all this information,
36:24 we're gonna examine these courses
36:25 and we're gonna look at how investors when they
36:28 finished one of these classes,
36:30 whether the interaction among students that
36:33 have no experience or
36:35 different type of experience,
36:36 meaning negative or positive.
36:37 Outcomes,
36:37 how would this affect
36:39 uh participation,
36:40 not only participation,
36:41 meaning
36:42 do you start uh
36:43 buying stocks,
36:44 but also
36:45 how,
36:45 how they affect the,
36:46 the type of strategies that they use,
36:48 how active are they in the market when they enter,
36:51 um,
36:51 and we're also gonna look at,
36:53 at performance.
36:55 So I won't,
36:55 I won't get,
36:56 get into the details because that,
36:57 that's the,
36:58 the,
36:58 the purpose of the uh the detail of,
37:00 of the data and the analysis but
37:02 uh let me just
37:03 briefly share with you some of the,
37:05 some of the results.
37:06 So
37:07 what we find is that
37:08 As expected,
37:09 so,
37:09 you know,
37:10 exposure to classmates with trading backgrounds leads
37:12 to very high market participation and,
37:14 and those in our estimates were,
37:16 were quite,
37:17 you know,
37:17 economically meaningful
37:18 in the sense that being in a class with somebody who has some experience matters,
37:22 matters a lot.
37:23 And importantly,
37:23 there's,
37:24 there's this additional effect from positive peer returns,
37:26 meaning that when you,
37:28 when you're in a classroom with somebody who has been high
37:31 returns in the past,
37:32 mostly in the few,
37:33 in the months um leading to the,
37:35 to the class,
37:36 in 6 months leading to the class,
37:38 that also increased market participation as well.
37:42 Now,
37:42 there's,
37:42 there's no marginal effect from negative outcomes,
37:44 meaning that if you share a class with,
37:46 with somebody who has really negative outcomes in the past,
37:48 really doesn't uh
37:50 uh
37:51 deter you from entering,
37:52 entering the market and,
37:53 and we'll get to that in a second.
37:55 Now finally,
37:56 something that we've seen in the,
37:57 in the literature,
37:58 so all these results have been um documented in different setups
38:02 and we actually see that,
38:03 that there's a lot of correlation
38:04 in purchases between experienced and inexperienced uh investors,
38:09 uh,
38:09 meaning that when they leave the classroom,
38:10 they,
38:10 they tend to buy,
38:12 uh,
38:12 purchase and sell the same,
38:14 the same securities.
38:15 Now,
38:16 perhaps,
38:17 importantly,
38:18 or like,
38:18 as I said,
38:19 all of these have been somewhat documented in different,
38:21 in different settings,
38:22 but the nuance of,
38:22 of the,
38:23 the novel part of the,
38:24 of this analysis
38:25 is when we look at investor performance.
38:27 So I'll,
38:27 I'll use this,
38:28 this fear just to,
38:29 to motivate this,
38:29 this last part of,
38:30 of,
38:31 of,
38:31 of my talk.
38:32 So,
38:34 we organize the courses from lower peer returns,
38:36 meaning if you attended to a class where
38:39 Your peers,
38:39 your classmates have really low outcomes
38:42 and to your right are the classes where the peers have the most positive outcomes.
38:46 So,
38:47 and then we look at the,
38:48 the peer,
38:48 uh,
38:49 you know,
38:49 how these experienced investors experience quote unquote because they're,
38:52 they're actually not experienced in the sense that they're,
38:54 they're,
38:54 they're not sophisticated.
38:55 They just,
38:56 they just have some traits in the past
38:57 and we define it in multiple ways,
38:59 one trade,
39:00 multiple traits,
39:01 we,
39:01 uh,
39:01 that's something that we can discuss,
39:02 but the point is that they had some trading experience,
39:06 uh,
39:06 prior to the course.
39:07 Now,
39:07 interestingly,
39:08 if you see the,
39:08 the,
39:09 the blue dots,
39:10 um,
39:11 when we look at their performance after the class,
39:13 so this is,
39:14 this is uh in the,
39:15 in the vertical axis you see performance in the year after the course,
39:18 they actually,
39:19 all of them are underperformed.
39:21 So in this case,
39:22 being
39:23 An experienced investor is just being somebody that has some
39:26 experience in particular,
39:27 just,
39:27 that just trading in the past,
39:29 but that doesn't make them more sophisticated.
39:31 We actually look at their portfolios,
39:32 they're no more diversified,
39:34 they're just simply,
39:35 um,
39:35 they're just simply investors are selecting high volatility strategies.
39:39 Um,
39:40 but importantly,
39:40 as you see,
39:41 when we look at the performance of new investors,
39:44 meaning
39:44 those that didn't have any experience prior,
39:47 but the attended to any of these courses,
39:48 you see that
39:49 to the right side of this,
39:51 this figure,
39:52 the performance looks very similar,
39:53 meaning that,
39:54 that
39:54 new investors were drawn to the strategies uh of
39:58 Uh,
39:59 experienced investors.
40:00 So actually when you,
40:01 when you share a classroom with this,
40:03 uh,
40:03 high-performing,
40:04 uh,
40:05 classmates,
40:06 you end up with,
40:07 with,
40:07 with strategies that are very much alike
40:09 and in this case,
40:10 we show that they,
40:11 they both underperformed.
40:12 So this was quite important for,
40:14 for,
40:15 for two reasons.
40:15 So what we see is that,
40:17 that
40:18 new investors that share this classroom with successful peers actually,
40:21 you know,
40:21 underperform other rookie investors and there's this high correlation in,
40:24 in,
40:25 in their trading.
40:27 So
40:27 basically,
40:28 the,
40:28 the idea is that
40:29 uh the,
40:30 the channel that we,
40:31 that we highlight in this,
40:32 in this paper,
40:32 and again,
40:33 we did some surveys to think,
40:34 to,
40:35 to ask about social interactions and so on.
40:37 So it's,
40:37 it's a different channel
40:39 than what we think about um
40:41 uh
40:42 it's,
40:43 it's a different,
40:44 it's,
40:44 it's a different challenge in,
40:45 in how,
40:46 how,
40:46 uh,
40:47 social interactions might affect investors.
40:48 So in this case,
40:49 This positive return attract new investors.
40:52 Uh,
40:52 but the results are not because these
40:54 investors were either more sophisticated or have,
40:56 you know,
40:57 better strategies.
40:57 It just simply,
40:58 it happens to be that they have
41:00 portfolios with high idiosyncratic volatility
41:03 and then
41:04 these other,
41:05 these new investors are sort of attracted to these,
41:07 to these strategies.
41:08 So in a way,
41:09 social interactions are promoting this adoption of high volatility strategies,
41:13 even without the inherent preference for,
41:14 for volatility.
41:16 OK,
41:16 so,
41:16 so we don't need to assume that investors,
41:18 they just really like gambling,
41:19 for example,
41:20 gambling strategies,
41:21 is simply that because of this,
41:23 this,
41:23 um,
41:24 this,
41:25 uh,
41:25 there is,
41:25 there is more um
41:27 saliency for strategies that,
41:29 that generate high performance even though it's because
41:31 of very concentrated portfolios with high idiosyncratic volatility,
41:35 but because they get a lot of,
41:36 uh,
41:37 um,
41:38 a lot of marketing or a lot of um
41:40 Uh,
41:41 exposure in,
41:42 in social settings,
41:43 then
41:44 we see a lot of adoption of those strategies for,
41:46 for new investors.
41:47 So
41:48 this is,
41:48 this is quite important because we don't need to,
41:50 to think,
41:50 to,
41:51 to allocate,
41:52 to think that investors in general just simply prefer,
41:54 you know,
41:54 uh,
41:55 high volatility stocks or gambling and,
41:57 and so on.
41:57 It's just simply that social interactions sort of promote these,
41:59 these,
42:00 these,
42:00 these settings.
42:01 And I mean,
42:02 we,
42:02 we sort of,
42:03 we speak to,
42:04 to different,
42:05 uh,
42:05 uh.
42:06 And so the literature and one is,
42:07 one is this self,
42:09 uh,
42:09 you know,
42:09 self-presentation bias in a way in which,
42:12 you know,
42:12 the transmutation,
42:13 you know,
42:13 in social settings,
42:14 you might be selective of the information you want to share
42:16 and then there's this bias towards transmitting positive outcomes.
42:20 You think that,
42:20 you know,
42:20 investors might like to recount to others,
42:22 their investment victories more than their defeat,
42:25 um,
42:25 and this is useful because we,
42:27 we think that,
42:27 you know,
42:27 these bias signals dis disproportionately attract investors to,
42:30 to equity trading.
42:32 Now,
42:32 the,
42:32 the,
42:32 the lessons are,
42:33 are,
42:33 are many,
42:34 but,
42:34 but I want to just highlight the last two bullet points here,
42:38 um,
42:39 to,
42:39 to close out,
42:40 close out uh my talk.
42:41 So
42:42 there might be,
42:43 you know,
42:43 there might be potential benefits to targeting a policy of people with,
42:47 with central position in social networks.
42:50 So,
42:50 uh,
42:51 perhaps it's best way to,
42:52 the best way to think about it is,
42:53 it's an example from,
42:54 from Chile.
42:55 Uh,
42:56 in a nice paper by Da and,
42:57 and,
42:58 and his co-authors in which they look about how,
43:01 uh,
43:02 uh,
43:03 uh,
43:03 how
43:05 Um,
43:06 workers in Chile using their pension accounts,
43:09 their pension savings,
43:09 try to time the market,
43:11 and they try to time the market to move from stocks to,
43:15 to bonds in Chile using,
43:17 you know,
43:17 their,
43:17 their,
43:17 their individual accounts,
43:19 um,
43:19 following some,
43:20 some cues,
43:21 some signal from,
43:22 um,
43:23 Uh,
43:24 from,
43:24 um,
43:24 um,
43:24 um,
43:26 from,
43:27 uh,
43:27 uh,
43:28 you know,
43:28 some advice investment companies.
43:30 Um,
43:31 and it's interesting because at the end when what they see is that,
43:34 that
43:35 this,
43:35 this timing in a way,
43:37 uh,
43:37 what generated is a lot of price pressure and increased
43:39 volatility in financial markets would actually under undermine price discovery.
43:43 So when we think about what individual investors do within.
43:46 That they're just simply noise traders.
43:47 They don't have volatility because somebody will buy,
43:49 somebody will sell,
43:50 but what happens when there's some sort of coordination between investors and then
43:55 you get this,
43:55 this higher volatility,
43:57 uh,
43:57 strategy.
43:58 So in a way it's like
43:59 you can think that,
44:00 you know,
44:00 the,
44:01 the
44:02 Um,
44:02 social media,
44:04 internet groups and,
44:05 and chats about investment decisions might,
44:07 you know,
44:07 might actually help disseminate
44:09 these,
44:10 these high volatility strategies and this will actually um
44:13 undermine,
44:14 uh,
44:14 undermine stability.
44:15 In that sense,
44:16 investors are no longer just noise traders,
44:18 but they're coordinated traders that might,
44:20 might affect,
44:20 uh,
44:21 markets.
44:21 We saw a little bit of that in,
44:22 in the
44:23 meme stock mania in,
44:25 in the,
44:25 in 2020.
44:28 So,
44:28 um,
44:29 let me finish,
44:30 um,
44:30 all these remarks and,
44:31 and sort of like put this,
44:33 put this,
44:33 uh,
44:33 whole thing together.
44:34 So in a way,
44:35 we,
44:36 um,
44:36 cross-border investments are
44:38 You know,
44:39 they,
44:39 they,
44:39 they involve
44:41 issuers in one country,
44:42 buyers in another,
44:43 so it's hard to keep track of,
44:44 of where they are,
44:45 but,
44:45 but as I,
44:46 as I show,
44:47 hopefully I've shown you today,
44:48 for
44:49 having
44:50 good portfolio data
44:51 is useful to rebuild new opportunities and challenges for develop,
44:55 uh,
44:55 to develop equity and and bond markets.
44:58 So,
44:59 Again,
44:59 I know this,
45:00 this is hard.
45:00 The data have been improving over time,
45:02 but still it's very,
45:03 um,
45:04 what you see in the data it's,
45:05 it's in different jurisdictions,
45:06 you might be able,
45:07 in our case,
45:08 we're able to zoom in Colombia.
45:10 Perhaps we don't need very,
45:11 uh,
45:12 detailed data in terms of trading,
45:13 but if we were able to at least observe better Portaholi holding,
45:16 holding data,
45:17 that will be useful to think about
45:19 the impact from different shocks,
45:20 how this,
45:21 uh,
45:21 trickle down to economy,
45:22 spillover effects and so on,
45:23 something that I I told you earlier.
45:25 Now,
45:25 one topic that I left out,
45:27 uh,
45:27 that we,
45:28 I didn't uh talk about today is private equity flows.
45:30 So we know that private equity flows tend to lack
45:33 portfolio flows to listed companies,
45:35 uh,
45:35 because of their level of risk,
45:37 level of sophistication,
45:38 and so on.
45:39 But these are important sources of funding.
45:40 In the case of Latin America,
45:42 they've increased from 1 billion a year,
45:45 still small in 2011,
45:46 2012 to over 16
45:49 billion.
45:49 In 2020.
45:51 So,
45:51 again,
45:52 still small,
45:52 still small,
45:53 but they have increased.
45:54 These are important sources of funding,
45:56 but it's also useful to think about,
45:57 you know,
45:57 what's their future,
45:58 what are the type of risks that they entail,
46:00 and we sort of,
46:01 we should be able to connect this
46:03 with the rest of the,
46:04 the investment by,
46:05 by other portfolio,
46:06 uh,
46:06 and,
46:07 and other investors.
46:08 So without,
46:08 you know,
46:09 for,
46:09 that's basically what I have for today and again,
46:11 thank you for,
46:11 for your attention.
46:12 I'm looking forward to discussion with Susan.
46:17 Thanks,
46:17 Eva,
46:17 fascinating and,
46:19 and,
46:19 and
46:20 at least the first two were incredible use of this,
46:23 this new kind of comprehensive data.
46:25 Um,
46:25 just a reminder,
46:26 if you have a question,
46:26 please kind of raise your hand in the chat,
46:28 um,
46:29 or just put your name in the chat and I'll call on you afterwards,
46:32 uh,
46:32 but let me turn it over to,
46:33 to Susan for some reactions.
46:37 Oh,
46:37 great,
46:38 and you're sharing my slides for me.
46:40 Um,
46:41 so first of all,
46:42 thank you for inviting me.
46:43 I found these papers very interesting,
46:47 if not honestly a little bit depressing.
46:50 Um,
46:50 so let's go through,
46:51 I'm gonna blow through some slides very quickly and then open it up to Q&A.
46:56 So if we can go to the next.
46:58 Uh,
46:59 so what I'm gonna talk about is really what we've
47:02 learned over 30 years of really the surprising complexity of creating
47:06 effective equity markets.
47:08 And note,
47:08 I'm not saying efficient,
47:09 I'm just saying
47:10 reasonably effective,
47:12 um,
47:12 and then I'll comment on each of the individual papers
47:15 and give and throw out some ideas for future research.
47:19 So if we can move ahead.
47:21 Uh,
47:22 first point is,
47:23 um,
47:24 there was a well-established literature going back literally to
47:27 the early 1990s emanating from this very institution,
47:31 the World Bank Group,
47:32 about the importance of developing effective capital markets,
47:36 both debt and equity,
47:37 in addition to banking systems,
47:39 and it's important for savings mobilization.
47:42 Effective and efficient resource allocation,
47:45 price discovery,
47:46 creating the right management incentives,
47:48 um,
47:49 and there's,
47:49 uh,
47:50 many authors,
47:51 uh,
47:51 Osley still here,
47:52 most of whom have,
47:53 have moved on from the bank.
47:55 Um,
47:55 and so I read these papers really in that context.
47:59 Well,
47:59 my interest is really about how do we create effective equity markets
48:03 to fund development.
48:05 Now,
48:05 what we've learned over 30 years,
48:07 uh,
48:08 and if we go to the next point,
48:09 is that it's really difficult.
48:11 We used to think that it was a matter of setting up a stock exchange,
48:15 creating some regulation around share trading,
48:19 and that's what I would call the hardware of the market,
48:22 but it's very difficult to get
48:24 the supply of companies listing.
48:27 And demand of investors for equities,
48:29 right.
48:29 So what we've now learned many years later is that many,
48:32 many things go wrong.
48:34 Uh,
48:34 you have markets that are too dominated by retail investors,
48:38 causing casino-like trading and price volatility.
48:42 So I have not looked at the recent data,
48:43 but the last time I looked at this,
48:45 which was
48:45 probably 7 years ago,
48:47 if you look at the annual turnover on the Shanghai Stock Exchange,
48:51 It was in the realm of 600%.
48:53 If you compare that to uh New York Stock Exchange,
48:57 it was under 100%,
48:58 say 60,
48:58 70%.
49:00 That means that the average share listed on the
49:02 Chinese market was trading hands 6 times in a year
49:06 compared to,
49:07 you know,
49:08 every year and a half or so on a more established market.
49:11 And that creates as if those of you who have
49:14 Uh,
49:15 had the misfortune of investing as a public equity investor in China,
49:18 huge price volatility
49:20 and very few returns.
49:22 Um,
49:23 other markets we found that free float matters,
49:25 just listing shares,
49:27 uh,
49:27 is not helpful if the company itself or the promoters are holding the shares.
49:32 Um,
49:33 in India,
49:33 they have a new term,
49:34 promoter.
49:35 So 40%,
49:36 and now this is new data.
49:38 Of Indian equities are held by promoters,
49:40 essentially those linked to the companies,
49:43 and they tend not to trade.
49:45 Uh,
49:45 we have insider majority shareholders
49:48 acting in their own interests.
49:50 Um,
49:50 I could pick on many different companies,
49:52 uh,
49:53 and I'll talk about the business groups in Colombia,
49:55 but look at the big tech companies in this country.
49:58 Why are Amazon and Google not paying dividends?
50:00 Well,
50:01 because the owners still have controlling shares and have decided
50:04 in Google's case,
50:05 they want to invest in space and AI and this,
50:08 that,
50:08 the next,
50:09 and in Amazon's case,
50:10 they want to expand,
50:12 um,
50:13 you know,
50:13 into every next business line.
50:16 We've got
50:17 poor financial disclosure that hampers,
50:19 markets,
50:20 and then just poor governance and,
50:22 and lack of board independence.
50:25 So all of this for the next point,
50:28 has meant that
50:30 The rationale for investing in emerging market equity markets was,
50:34 was diversification.
50:35 In fact,
50:36 returns are very highly correlated with markets in the US and Europe,
50:40 and at least over the decade between
50:43 2010 and 2020,
50:45 the MSCI overall returned 3.7% per annum
50:49 compared to 5.3% for MSCI World X USA
50:53 and 13.7% for S&P.
50:56 So,
50:56 I think that this set of papers,
50:58 if I put them together,
51:00 Um,
51:01 what I've learned about the Colombian stock market is that,
51:05 uh,
51:05 it's controlled by insiders
51:08 linked to the institutional investors that are supposed to provide
51:11 an outside-in view.
51:13 Uh,
51:13 we have retail investors who have very
51:16 little experience now flooding into the market,
51:18 and when you look at inclusion in MCI you got a price boost.
51:22 But I think there are questions about whether that's
51:24 actually an information signal or just hurting behavior on,
51:28 on,
51:29 um,
51:29 the,
51:30 uh,
51:30 the part of active investors trying to match,
51:33 match
51:34 benchmark indices.
51:35 So that leaves me a little bit depressed,
51:38 but I think that there is scope for lots of research to do here and how can we
51:42 change the situation.
51:44 So if we go to the next slide,
51:46 I think my favorite paper of the three was
51:48 really the market concentration and business group affiliation.
51:51 Um,
51:52 I think that the analysis was,
51:54 you know,
51:54 obviously a new source of data,
51:56 really interesting,
51:57 very careful mapping of the business groups and their links to
52:01 various institutional investors,
52:03 um,
52:04 and it really showed how
52:06 market concentration and asymmetric information
52:09 raised the cost of capital,
52:11 limited market participation,
52:12 and overall
52:14 reduced capital raising.
52:15 I was,
52:16 I was sad to hear that,
52:18 um,
52:19 in Colombia,
52:20 you've actually got more
52:21 Listings and new IPOs.
52:22 That has been true of the New York Stock Exchange and advanced
52:26 equity markets for well over a decade
52:30 between share buybacks and companies going private,
52:33 but
52:33 I was stunned to hear that it's happening in
52:35 middle-income countries as well,
52:37 and it's not a great sign,
52:39 uh,
52:39 for startups and entrepreneurs and small businesses that want to raise
52:43 equity and risk capital.
52:45 So my mind immediately turns to
52:48 what are the solutions for this,
52:51 um,
52:52 antitrust regulations
52:54 to limit cross-shareholdings and business group concentration.
52:58 I thought it was interesting that Alvaro used the term
53:01 informed trading instead of insider trading.
53:04 I don't know if,
53:05 you know,
53:06 by,
53:07 by Anglo-Saxon law,
53:09 it would be insider trading or informed,
53:11 but clearly that's one question.
53:13 Uh,
53:14 financial market regulations,
53:16 uh,
53:17 actually,
53:18 you know,
53:18 limiting links between a fiduciary
53:21 responsibility of the institutional investors
53:23 like pension funds that they're responsible to their shareholders
53:27 and can't have cross-shareholdings.
53:29 Um,
53:30 is it improved disclosure so that
53:33 market participants can decide,
53:35 especially for
53:36 companies that are listed,
53:38 um,
53:38 in the MSCI.
53:40 Um,
53:40 do we need regional equity markets?
53:42 Now,
53:42 in one version of the presentation I saw,
53:45 um,
53:45 there is an example in Latin America,
53:47 but my
53:48 thought was,
53:49 are some countries just too small to support their own exchange and,
53:53 and by pooling countries together and getting more of a mass,
53:56 would you reduce
53:58 market concentration through regional equity exchanges?
54:01 And then finally,
54:02 I think there's something really important,
54:04 uh,
54:04 that these three papers
54:06 illustrate,
54:07 which is that it's what I call the software
54:09 of equity markets or the ecosystem,
54:12 that you need,
54:13 uh,
54:14 equity market analysts who are truly independent assessing stocks and,
54:18 and digging into companies' financials and meeting with managers.
54:22 You need the accountants and Lawyers who actually
54:25 um and auditors who make sure that financial accounts
54:29 um
54:29 are accurate and that they disclose cross-share holdings and other
54:34 links with businesses.
54:35 You need financial advisors for,
54:38 uh,
54:38 the retail investors
54:40 and business information software providers just so that the data is
54:43 out there in the market and that without all these things,
54:46 Uh,
54:46 you end up,
54:47 um,
54:48 in,
54:48 with a situation like you see in Colombia,
54:50 and frankly,
54:51 what you see in,
54:52 in most,
54:53 if not all emerging markets,
54:54 stock markets,
54:55 which is you've got either family-owned businesses,
54:57 state-owned businesses,
54:59 or these business groups.
55:00 In India,
55:01 it's a very similar situation
55:03 that really hamper the effectiveness of,
55:06 of equity markets.
55:08 Now,
55:09 one
55:09 point I'll,
55:10 I'll throw in here is that the data you've got is fabulous,
55:13 and I would love to see
55:15 related
55:16 research if you could do it on the impact of market concentration,
55:19 business group affiliation on firm level productivity,
55:22 innovation,
55:23 and returns.
55:24 So if you could link the financial statements
55:26 of all the,
55:27 of all the companies listed,
55:29 you could look at their,
55:30 um,
55:31 Uh,
55:32 you know,
55:32 how they perform on the market and,
55:34 and what their underlying fundamentals are in terms of productivity.
55:37 So that would be very interesting.
55:39 But overall,
55:40 uh,
55:40 loved this paper,
55:41 although,
55:42 like I said,
55:43 really deeply depressing if you
55:45 extend this to family-owned businesses and state-owned businesses,
55:48 you begin to understand why
55:50 all these middle-income country and lower middle-income country stock exchanges
55:55 are not performing the functions we would like them to.
55:59 On the next page,
56:01 I think now I've got the active trading and poor performance.
56:04 Um,
56:05 I think as Olivaro pointed out,
56:07 this is hugely timely.
56:09 Retail trading is up around the world.
56:11 Uh,
56:12 of course,
56:12 we have the meme stock investing,
56:14 but,
56:14 uh,
56:15 new data in India,
56:17 retail investors are now 45% of,
56:20 um,
56:20 all trading,
56:21 up from 34% before COVID.
56:24 Institutional investor share has declined to,
56:27 um,
56:27 you know,
56:28 under 20% and then as I mentioned before,
56:30 you've got the promoters.
56:32 So you've got a market where shares are held by promoters,
56:36 you've got retail investors who may or probably don't know what they're doing,
56:40 and then you've got,
56:41 uh,
56:42 very few institutional investors who hopefully
56:44 are the more professional asset managers.
56:47 So this paper focuses on the naive
56:50 investors taking signals from high volatility portfolios.
56:54 Um,
56:55 I think that it's interesting because the social transmission,
56:58 uh,
56:58 could be extended to other
57:00 things like job markets.
57:02 Why does everyone go for hot jobs in tech
57:04 or IT,
57:05 um,
57:06 as well as startups,
57:07 there have been
57:08 work done that if you're around other entrepreneurs,
57:11 you're more likely to start a company.
57:13 So I think that's,
57:14 um,
57:15 highly relevant and interesting.
57:17 However,
57:17 I really question the results of this paper and
57:20 although Alvaro created a nice story of why the results made sense to him.
57:25 I'm not quite sure I buy it because what we see is that
57:28 the experienced investors
57:31 did worse across the board in every quintile,
57:34 um,
57:34 and that the rookie investors,
57:37 uh,
57:37 in one group did better than the other.
57:39 Now,
57:39 I'm just wondering if this is,
57:41 has to do with the snapshot in time that you looked at,
57:44 and so it had something to do with market movements
57:46 or to To me,
57:47 it's saying,
57:48 isn't this just reversion to the mean
57:50 that your experienced investors did well before,
57:52 now this period that we're looking at,
57:55 they're doing worse and the fact that the rookie investors,
57:58 you know,
57:58 ended up doing better is neither here nor there.
58:01 So it's quite counterintuitive.
58:03 I'm not quite sure I
58:05 buy the story of why
58:07 any of this makes sense.
58:09 I'm also wondering about how we define experienced investors.
58:14 Now,
58:14 if I will go again to what are the solutions,
58:16 I think,
58:17 well,
58:17 it's very clear that understanding how to invest in the stock market,
58:21 um requires more than one simple course of trading strategies.
58:25 Really to assess,
58:27 uh,
58:27 stocks,
58:28 you need to understand,
58:29 uh,
58:29 the fundamentals of corporate value creation,
58:33 uh,
58:33 you need to understand discounted future cash flows,
58:36 which is what the stock price should be
58:38 reflecting.
58:39 You need to understand the sector.
58:41 Dynamics and how a company's position vis a vis its competitors,
58:45 and you need to understand obviously the macro
58:47 um outlook of the economy it's in.
58:50 So it's actually quite
58:52 complex.
58:52 And as an economist,
58:54 um,
58:55 speaking to other economists,
58:57 I firmly believe in passive indexing investment.
59:01 I'm quite
59:02 skeptical about
59:03 hedge fund absolute alpha returns that are not linked to
59:08 Basically,
59:09 uh,
59:09 insider trading,
59:10 cheating,
59:11 um,
59:12 and as an investor,
59:13 you know,
59:14 I learned you can't beat the market overall.
59:17 Um,
59:18 so,
59:20 Going beyond that,
59:21 I am quite concerned about individual investors,
59:24 both for themselves and for the market.
59:26 I'm old enough to remember the dot-com bubble and day trading.
59:31 The day trading term was
59:33 coined back then
59:35 and people could borrow and trade on margin,
59:37 and there were a lot of individual losses,
59:40 and
59:40 as we saw with GameStop,
59:42 you can have
59:43 individual stock.
59:44 Prices become wildly delinked from any kind of underlying
59:47 fundamentals.
59:48 So,
59:49 um,
59:49 you know,
59:50 what do we need?
59:51 Do we need regulatory limits to protect individuals?
59:54 Um,
59:54 so for instance,
59:55 tiered licensing of,
59:57 of how,
59:57 of
59:58 what you're allowed to buy and limits on the size and concentration of portfolios.
1:00:03 Do we need to increase transaction costs?
1:00:05 So with the new digital technologies,
1:00:07 of course,
1:00:07 now It's,
1:00:08 it's almost costless to do the,
1:00:10 um,
1:00:11 high volume trading.
1:00:12 Do we need to throw some sand in the gears there.
1:00:15 Um,
1:00:16 and I think overall,
1:00:16 we definitely,
1:00:17 all this illustrates is you need a core
1:00:19 of professional investors in the market to have it
1:00:22 work effectively as a price discovery
1:00:25 mechanism and reflecting the value of companies.
1:00:28 Of course,
1:00:28 not the institutional investors that are linked
1:00:30 to business groups doing insider trading.
1:00:33 Um,
1:00:33 and then the last paper,
1:00:35 if we move forward on the,
1:00:37 um,
1:00:38 anatomy of index rebalancing,
1:00:40 um,
1:00:42 nice support.
1:00:43 I don't think the,
1:00:43 the results are surprising.
1:00:45 I think we know that that inclusion in MSCI and
1:00:49 similar indexes increases demand
1:00:51 and you get a,
1:00:52 a price boost that
1:00:54 lasts at least as long as you're included in the index.
1:00:57 Delisting,
1:00:57 of course,
1:00:58 has a negative effect.
1:00:59 I think it was really interesting though that,
1:01:01 that this paper
1:01:02 was able to tease out,
1:01:03 uh,
1:01:04 the actions of different types of buyers so that
1:01:06 you see it's not actually from the passive investors,
1:01:09 but many of the active investors,
1:01:11 uh,
1:01:11 who are simply trying to match the performance
1:01:15 of an index.
1:01:16 Um,
1:01:17 and that hedge funds which could play a contrarian role,
1:01:20 of course,
1:01:20 were too small to offset.
1:01:22 The impact.
1:01:23 Um,
1:01:24 so
1:01:25 I think there's a question,
1:01:27 a couple of questions I have.
1:01:29 Um,
1:01:30 the paper didn't say,
1:01:31 but seemed to imply,
1:01:32 is this just that this is somehow a price distortion,
1:01:35 that you join an index and it's the same company,
1:01:37 same fundamentals,
1:01:38 and
1:01:38 suddenly you get a 5%
1:01:40 price boost that persists.
1:01:42 But you could make a different argument saying
1:01:44 that actually that company was undervalued to begin with
1:01:48 and that the world of investors didn't understand the attribute.
1:01:52 Yous of this one Colombian company
1:01:54 and by
1:01:55 having MSCI go out and do its due diligence and inviting
1:01:58 that uh company to be listed in its
1:02:01 index,
1:02:02 it's almost like the,
1:02:03 the stamp of approval,
1:02:05 and then that opens,
1:02:07 uh,
1:02:07 the door to many investors to actually understand the value that was there.
1:02:11 So,
1:02:11 is it,
1:02:12 uh,
1:02:12 was the issue that the company was mispriced before listing and is now accurate,
1:02:17 or the other way around,
1:02:19 somehow we've just got an inflated price.
1:02:22 Um,
1:02:22 so what are the societal costs,
1:02:23 if any,
1:02:24 from this index effect,
1:02:26 uh,
1:02:26 and what policy actions would you recommend?
1:02:29 So
1:02:30 overall,
1:02:31 I think,
1:02:31 uh,
1:02:31 these papers,
1:02:32 uh,
1:02:33 got my mind back into the importance of capital markets.
1:02:36 It's work
1:02:37 that we do in the World Bank and at the IFC.
1:02:39 There's actually the JCAP program designed to
1:02:42 build domestic capital markets,
1:02:44 debt and equity.
1:02:46 Um,
1:02:46 in like
1:02:48 a dozen or so
1:02:49 countries.
1:02:50 So for research ideas,
1:02:51 if we go to the next page,
1:02:54 First,
1:02:55 I would say,
1:02:56 um,
1:02:57 I would love to see more on what to do about it.
1:03:00 As I said,
1:03:01 we've,
1:03:02 we've known sort of in theory,
1:03:04 how to develop these markets for decades,
1:03:06 and in practice,
1:03:07 it hasn't worked out.
1:03:08 So I would love to see research comparing,
1:03:12 for instance,
1:03:12 if we could measure the quality of board governance in terms of,
1:03:16 does your board have independent directors?
1:03:19 What kind of committee structures do you have?
1:03:21 Do you have an independent,
1:03:22 uh,
1:03:23 uh,
1:03:24 Director on the compensation Committee,
1:03:26 does that company
1:03:28 perform
1:03:28 better fundamentally or worse?
1:03:31 Um,
1:03:31 we could look at the quality of financial disclosure,
1:03:34 uh,
1:03:34 participation of institutional investors,
1:03:36 and does that matter if it's domestic versus foreign.
1:03:39 Um,
1:03:40 so I think there's a lot of room to
1:03:42 explore and do comparative studies of what seems to improve
1:03:46 the performance of equity markets and their basic functions.
1:03:51 Second set of ideas
1:03:53 um
1:03:54 has to do
1:03:56 more um exploration of the size,
1:03:59 dimensions and nature of the societal costs of market concentration
1:04:03 and business groups and equity markets.
1:04:05 So is it a linear effect?
1:04:07 I,
1:04:07 I use the term effective equity markets instead of efficient because I think we all
1:04:12 understand that,
1:04:12 that markets are not efficient,
1:04:14 uh,
1:04:15 but
1:04:15 some are tend to be more effective than others.
1:04:19 But are there nonlinearities?
1:04:20 Like how much concentration or informed trading
1:04:24 can you have before the societal costs
1:04:26 really kick in?
1:04:28 Um,
1:04:28 are they linear?
1:04:29 Are they nonlinear?
1:04:31 And,
1:04:31 and how do these impact domestic savings,
1:04:34 mobilization and resource allocation?
1:04:37 Um,
1:04:38 and how do business groups that have dual listings and developed markets,
1:04:41 which many of the largest do,
1:04:43 uh,
1:04:44 perform?
1:04:44 So do you see some impact when you've got
1:04:47 a concentrated group,
1:04:48 but it's forced to comply to say,
1:04:50 um,
1:04:51 the London Stock Exchange standards or New
1:04:53 York Stock Exchange standards of disclosure,
1:04:56 do they actually perform qualitatively differently
1:04:59 than,
1:04:59 than
1:05:00 concentrated business groups,
1:05:02 uh,
1:05:02 that don't have that dual listing?
1:05:05 Third idea for research has to do with
1:05:09 the few examples of,
1:05:10 of
1:05:11 countries out there that do have effective equity
1:05:14 markets and what can we learn from them.
1:05:15 So South Korea,
1:05:17 after the Asian financial crisis,
1:05:19 um,
1:05:20 really overhauled its debt and equity capital markets.
1:05:23 And that was a country,
1:05:24 uh,
1:05:25 you know,
1:05:25 where business groups called Chaibol,
1:05:27 these huge multi-business conglomerates really dominated.
1:05:31 And after the 1997,
1:05:33 98 Asian crisis,
1:05:35 they undertook a lot of regulatory reform.
1:05:37 Chaibol are still
1:05:38 uh very dominant.
1:05:39 Look at Samsung,
1:05:41 uh
1:05:41 in,
1:05:42 in Korea,
1:05:42 but yet they,
1:05:44 they have both the corporate debt capital market,
1:05:46 one of the very few,
1:05:48 um,
1:05:49 you know,
1:05:49 countries outside of the Anglo-Saxon countries
1:05:51 in the world to develop an effective
1:05:54 corporate bond market,
1:05:55 uh,
1:05:55 as well as an equity market.
1:05:57 I thought of Israel because it is a small country,
1:06:00 so very few,
1:06:01 uh,
1:06:02 businesses to list.
1:06:03 Singapore,
1:06:04 of course,
1:06:05 I hate even
1:06:05 using Singapore as an example because like Canada,
1:06:09 it always seems to do everything right,
1:06:11 but it's another small market.
1:06:12 It has a lot of government
1:06:14 control.
1:06:15 Tomasek actually owns
1:06:17 large parts of SingTel,
1:06:19 SingAir,
1:06:19 you name it,
1:06:20 and yet they've developed an effective equity market.
1:06:23 So
1:06:24 there may be some case studies.
1:06:26 Uh,
1:06:27 worth pursuing.
1:06:28 Then,
1:06:29 next idea on research,
1:06:31 next page,
1:06:32 yup.
1:06:33 Um,
1:06:34 what can we learn,
1:06:35 uh,
1:06:36 if we compare not just,
1:06:38 um,
1:06:38 companies in one market,
1:06:40 but a company,
1:06:41 uh,
1:06:41 equity market performance
1:06:43 across countries and regions.
1:06:45 So does it matter what form concentration takes?
1:06:48 So in other countries in Latin America,
1:06:50 you have like Brazil,
1:06:50 you've got
1:06:51 Family-owned businesses.
1:06:53 Um,
1:06:54 in India,
1:06:55 you've got,
1:06:55 uh,
1:06:56 you know,
1:06:56 these sort of
1:06:57 big conglomerates,
1:06:58 much like Colombia.
1:06:59 In other countries,
1:07:00 you've got state-owned companies.
1:07:02 So are there differences in the societal costs or market inefficiencies
1:07:06 depending on the form that market concentration takes.
1:07:10 Um,
1:07:10 in looking over time,
1:07:12 um,
1:07:13 as foreign investors in All these different types
1:07:15 of markets become a larger share and the first
1:07:18 chart you shared on capital flows
1:07:21 indicates that they are becoming a larger,
1:07:23 um,
1:07:23 share,
1:07:24 then how does that,
1:07:25 uh,
1:07:26 interact with business group concentration?
1:07:28 Over time,
1:07:29 we would assume
1:07:30 it's being diluted and does that then
1:07:32 reduce the dead weight loss to society,
1:07:35 uh,
1:07:36 from concentration.
1:07:38 Next idea,
1:07:40 uh,
1:07:40 has to do with the,
1:07:41 um,
1:07:42 rise of impact investing and ESG investing on equity market performance.
1:07:47 This is near and dear to my heart because IFC of course,
1:07:51 is the original impact investor,
1:07:53 meaning,
1:07:54 um,
1:07:55 all our lending and equity,
1:07:57 um,
1:07:57 investments are to have societal impact.
1:08:00 Um,
1:08:01 presumably,
1:08:02 these,
1:08:02 these types of new investment vehicles that are all
1:08:05 the rage should crowd in capital and lower.
1:08:07 The cost of equity for firms,
1:08:09 but would love to see some research on whether that's true.
1:08:12 And if so,
1:08:13 I think impact investing is a bit different from ESG investing and there's now
1:08:18 many different acronyms and nomenclature.
1:08:21 Now we've got green
1:08:22 companies,
1:08:23 blue companies,
1:08:23 and so on,
1:08:24 but
1:08:24 would love to see um how some of these new
1:08:27 types of investment themes uh translate into equity prices.
1:08:32 And then finally,
1:08:34 Uh,
1:08:34 coming to private equity placements versus public listings.
1:08:38 And here I'm not talking about foreign private equity
1:08:42 funds,
1:08:42 but literally just private placements of equity.
1:08:45 So,
1:08:46 for instance,
1:08:47 what
1:08:47 IFC and other DFIs do,
1:08:49 we literally
1:08:51 Do just a bilateral transaction with a company to buy shares.
1:08:55 Um,
1:08:55 and this comes long before any public market listing.
1:08:59 So,
1:09:00 there's a Harvard,
1:09:00 uh,
1:09:01 business professor,
1:09:02 many of you probably know him,
1:09:03 Sean Cole,
1:09:03 who,
1:09:04 who found that IFC,
1:09:05 the private equity returns,
1:09:07 meaning just literally these
1:09:08 private placements of equity,
1:09:10 um,
1:09:11 do outperform over the Long run,
1:09:13 but outperformance declines is actually
1:09:15 the financial market infrastructure of a country develops,
1:09:18 which tells you that
1:09:20 this very direct and bespoke private deals
1:09:23 are the first way that foreign capital goes into a market,
1:09:27 but we'd love to see some of that updated and see how it relates to
1:09:31 um
1:09:32 the data you've got in,
1:09:33 in Colombia.
1:09:35 So I will stop there.
1:09:36 Sorry if I went a little bit long,
1:09:38 but again,
1:09:38 congratulations.
1:09:39 I like your,
1:09:41 your trio of papers,
1:09:43 if not,
1:09:43 um,
1:09:44 the somewhat dismal results that uh they paint.
1:09:50 Thank you,
1:09:50 Susan for those really,
1:09:52 I mean those really insightful comments both,
1:09:54 you know,
1:09:54 in reaction to the papers,
1:09:56 in terms of the policy and then you know that incredible research agenda
1:10:00 that you laid out that could keep us occupied for decades to come.
1:10:04 Uh but thank you for that.
1:10:05 No,
1:10:05 that's really,
1:10:06 I mean this is,
1:10:06 this is amazing.
1:10:08 Um.
1:10:09 Before turning to some questions,
1:10:10 we have a few in the chat,
1:10:11 but let me um ask Alvaro if he wants to just have some reactions.
1:10:14 I mean,
1:10:15 obviously can't go point by point,
1:10:16 but if there's things you wanted to pick up on in in in Susan's comments,
1:10:20 uh,
1:10:20 please have a
1:10:22 Yeah,
1:10:22 no,
1:10:23 I,
1:10:23 uh,
1:10:23 Susan,
1:10:24 incredibly,
1:10:24 incredibly thankful for,
1:10:26 for all your comments,
1:10:26 your insights,
1:10:27 uh,
1:10:27 it's,
1:10:27 it's great,
1:10:28 great to,
1:10:29 to have you here.
1:10:29 Um,
1:10:31 just,
1:10:31 just a,
1:10:31 just a,
1:10:32 a couple of things that,
1:10:32 that you mentioned that,
1:10:33 that,
1:10:33 that struck me.
1:10:34 One,
1:10:36 so related to,
1:10:37 to the issue of disclosure and thinking about business groups,
1:10:39 um,
1:10:40 and then the market integration.
1:10:42 So in terms of disclosure,
1:10:43 the one thing where we could start,
1:10:45 and by the way,
1:10:45 you're right,
1:10:45 it's insider trading,
1:10:46 we,
1:10:47 we're careful in the paper not to use it just
1:10:49 because of what it means legally and uh
1:10:52 anyways,
1:10:52 but we can get to that.
1:10:54 But um
1:10:55 so at least one thing that,
1:10:56 that we do,
1:10:57 you know,
1:10:57 in the US is in,
1:10:59 you know,
1:10:59 insiders report their tradings in a timely manner within 3 days of the trade,
1:11:03 at least that's a way to improve transparency.
1:11:05 But if these are,
1:11:06 this is the case that we,
1:11:07 we go out,
1:11:08 the board members,
1:11:09 CEO and so if we,
1:11:09 if we go outside and look at in the business group,
1:11:11 then
1:11:12 there should be some sort of reporting within the business group actions,
1:11:15 you know,
1:11:15 all the companies within the business groups that are trading
1:11:17 these companies as insiders perhaps
1:11:19 and that will increase transparency.
1:11:21 Maybe that will help,
1:11:21 maybe,
1:11:22 you know,
1:11:22 how much,
1:11:23 something that we need to think about whether that's,
1:11:25 you know,
1:11:25 enacted somewhere else,
1:11:26 um.
1:11:28 Uh,
1:11:28 actually,
1:11:29 the original exchange,
1:11:30 they,
1:11:30 they tried in,
1:11:31 in Latin America with Peru,
1:11:32 Peru,
1:11:32 Chile,
1:11:33 and Colombia,
1:11:33 they tried this MILA or Mercado,
1:11:35 Integrado,
1:11:36 Latin Americano,
1:11:37 but it was more of a,
1:11:38 a platform,
1:11:39 you know,
1:11:39 was allowing the,
1:11:40 you know,
1:11:40 investors to trade in,
1:11:42 in the three markets,
1:11:43 but that never,
1:11:43 that never catch any traction because
1:11:46 big investors,
1:11:46 they were already able to,
1:11:48 without very low transaction costs,
1:11:49 move to other markets.
1:11:50 So
1:11:51 nothing happened there and they're actually in a new effort to,
1:11:53 to Um,
1:11:54 merge the three exchanges in actual merge where they will operate.
1:12:00 Now whether that will generate actual effects in the sense that,
1:12:02 I mean,
1:12:02 because the,
1:12:03 the
1:12:04 company,
1:12:04 the,
1:12:04 the,
1:12:05 the business structure will still be the same
1:12:07 within this,
1:12:08 you know,
1:12:08 the separate countries,
1:12:09 but you might say,
1:12:09 well,
1:12:09 there's might be some delusion in terms of
1:12:11 uh ownership concentration that might help,
1:12:13 but,
1:12:14 but it's a new effort that they're just starting,
1:12:15 we'll,
1:12:15 we'll see uh how that,
1:12:16 that plays out.
1:12:18 Very quickly,
1:12:18 I,
1:12:18 I think your,
1:12:19 your thought that you were questioning the results on the,
1:12:21 on the transmission of,
1:12:23 of,
1:12:23 of active trading.
1:12:24 Just to mention,
1:12:25 you're right,
1:12:25 I mean,
1:12:25 the,
1:12:26 one of the first thoughts we have was,
1:12:27 is this reversion to the mean.
1:12:29 Uh,
1:12:29 we actually look at this and,
1:12:30 and it's,
1:12:30 it's not because they're actually trading new stocks.
1:12:33 What we see,
1:12:34 I didn't have time to mention,
1:12:34 but what we see is that investors trade more often,
1:12:37 so they,
1:12:38 they,
1:12:38 they have more transaction costs just simply because they're,
1:12:41 they're trading more,
1:12:42 I mean,
1:12:42 they're attracted to these high volatility strategies and they,
1:12:45 they get in and out of stocks more and they pay more fees.
1:12:48 But you're right,
1:12:48 I mean,
1:12:49 why,
1:12:49 why would we think that if you,
1:12:50 if you just enter why on average are you having low,
1:12:54 always low returns?
1:12:55 I mean,
1:12:55 if,
1:12:55 if you always have bad returns when you trade,
1:12:57 then you just reverse the,
1:12:58 the,
1:12:59 the strategy anyways.
1:13:00 But,
1:13:00 but it,
1:13:01 you know,
1:13:01 it's a good point and it's,
1:13:02 it's sort of related to,
1:13:03 to
1:13:04 more trading more um
1:13:05 more active trade.
1:13:06 And then finally on the,
1:13:08 on the
1:13:09 index,
1:13:10 so you're right to point that when there's an inclusion into an index,
1:13:13 there might be this is salience or recognition issue.
1:13:16 Right,
1:13:16 we,
1:13:17 all of a sudden we have a stock that we pay attention to,
1:13:19 then more analysts,
1:13:20 then we,
1:13:20 it gets better coverage.
1:13:22 The counterargument to that is that what happens when it gets delisted.
1:13:25 So we already know the stock,
1:13:26 we already know what it is,
1:13:27 we,
1:13:28 it,
1:13:28 it cannot be,
1:13:29 you know,
1:13:29 the unrecognized in a way.
1:13:31 Um,
1:13:32 so,
1:13:32 so we can look separately at deletions and we see similar effects.
1:13:35 So,
1:13:36 sort of that story,
1:13:37 we,
1:13:37 we sort of are able to tease out.
1:13:39 Different stories and this is more of a distortion type where there's not,
1:13:42 you know,
1:13:42 an accommodation from the inside,
1:13:44 uh,
1:13:44 from the,
1:13:45 uh,
1:13:45 residual demand in the country.
1:13:47 But
1:13:47 I,
1:13:48 as Dion said,
1:13:48 I mean,
1:13:49 this is sort of
1:13:50 a little bit what,
1:13:50 what we wanted to get that feedback and thinking,
1:13:52 I mean,
1:13:52 we're thinking
1:13:53 broadly in terms of what was next on,
1:13:55 on the agenda,
1:13:56 but of course,
1:13:56 we're sort of limited with data and we need to
1:13:58 make some better efforts to coordinate data abroad because,
1:14:01 I mean,
1:14:01 here we're concentrating in one country because we have access,
1:14:03 but what if we could
1:14:05 You know,
1:14:05 have a better sense of what investors are doing in
1:14:07 different countries at the same time and similar investors actually,
1:14:10 that would be also very useful.
1:14:12 Again,
1:14:12 thanks,
1:14:12 thanks again for your
1:14:14 comments.
1:14:14 I appreciate it.
1:14:16 Great,
1:14:17 thanks.
1:14:17 I'm gonna turn over,
1:14:18 we have 3 people in the lineup,
1:14:20 but I'm going to give Susan a heads up.
1:14:21 I'm gonna ask you a question when we come out of the this Q&A,
1:14:25 which is,
1:14:26 of the 6 research agenda items that you listed,
1:14:31 Like
1:14:32 Maybe could I ask you to highlight 21 from a
1:14:35 big picture point of view of this entire research agenda,
1:14:38 like what do you think is a priority there?
1:14:40 And then
1:14:41 second,
1:14:41 sort of from a very narrow IFC point of view.
1:14:44 I mean,
1:14:44 you had a couple of items there towards the end
1:14:46 which you know you framed as IFC oriented things,
1:14:48 and I'm curious as to what you would see on
1:14:52 You know,
1:14:52 the top 21 from each of those buckets,
1:14:54 if you don't mind.
1:14:55 But,
1:14:55 but before we get there,
1:14:56 let me,
1:14:57 um,
1:14:57 we have Carlos,
1:14:59 Paulo,
1:14:59 and then I think it's Khuram from Lahore who each have a question.
1:15:03 So let me turn over to
1:15:05 to Carlos,
1:15:05 are you still there?
1:15:10 Carlos Madera
1:15:19 OK,
1:15:20 I'll read this question then,
1:15:21 which is,
1:15:22 does Latin America have enough size for a regional capital market,
1:15:25 or should companies start in the US or Canada exchanges?
1:15:29 That was Carlos's question to,
1:15:31 to Alvaro and and maybe Susan if you wanted to
1:15:34 take these as well afterwards.
1:15:36 Um,
1:15:36 Paolo,
1:15:38 do you want to ask your question?
1:15:41 Yes,
1:15:42 thanks.
1:15:43 Um,
1:15:44 basically,
1:15:45 Alvaro,
1:15:45 the,
1:15:45 the question is you mentioned some inflows
1:15:48 to sovereign local currency in Colombia after
1:15:51 the inclusion of JP Morgan in the excess of
1:15:55 Of some of those sovereign bonds.
1:15:57 Mm.
1:15:59 You mentioned that
1:16:01 those inflows allowed for increased lending
1:16:04 by the local banks that actually
1:16:08 Sold
1:16:09 Those bonds to those foreign investors.
1:16:13 Did you evidence
1:16:14 also some sort of carrying out effect by which
1:16:18 those foreign capital inflows slowed?
1:16:20 Not only increased lending by those banks but
1:16:24 also
1:16:25 probably
1:16:26 increase issuances and indebtedness by the local government.
1:16:29 Thanks.
1:16:34 OK,
1:16:34 and then last in this round,
1:16:35 I think it's Kuram,
1:16:37 if I'm getting this right.
1:16:43 If not,
1:16:43 I'll read the question,
1:16:44 which is small investors in the stock exchange
1:16:47 have suffered fluctuations due to COVID-19.
1:16:49 How should small investors
1:16:50 be protected in the future,
1:16:52 in the future of this kind of disruption?
1:16:56 That's a,
1:16:57 that's a big picture question.
1:16:58 I'm not sure,
1:17:00 but,
1:17:00 but if you want to sort of
1:17:02 have a go at these,
1:17:03 and then Susan,
1:17:03 I'll turn to you afterwards in case you want to chime in on some
1:17:06 of the responses and then maybe have a crack at my question too.
1:17:11 Yeah,
1:17:12 uh,
1:17:12 quickly,
1:17:12 uh,
1:17:13 thanks,
1:17:13 uh,
1:17:13 Paulo for the question.
1:17:15 So just to clarify that,
1:17:17 that work was by Thomas Williams,
1:17:18 a professor at George Washington University,
1:17:20 uh,
1:17:21 the one with the flows and JP Morgan.
1:17:23 So just to clarify that,
1:17:24 um.
1:17:26 So
1:17:27 the,
1:17:27 um,
1:17:28 yes,
1:17:29 to answer your question,
1:17:29 yes,
1:17:30 uh,
1:17:31 funding costs for the government were lower and there
1:17:33 there was an increase in,
1:17:35 in borrowing as well
1:17:36 and we tend to see that,
1:17:37 that,
1:17:38 that in general,
1:17:38 but again,
1:17:39 the,
1:17:39 the paper was mostly focused on the market makers,
1:17:42 so some,
1:17:42 some domestic banks that
1:17:44 need to,
1:17:44 need to maintain the liquidity in the sovereign bond market
1:17:47 and they were able to offload some of that and then they see the channel through,
1:17:51 through lending
1:17:52 and to,
1:17:53 you know,
1:17:53 tease out the actual effect.
1:17:55 They look at
1:17:56 uh municipalities where where they are more prominent,
1:17:58 where they operate more before
1:18:00 than,
1:18:01 than after.
1:18:03 Um,
1:18:04 Uh,
1:18:05 let me,
1:18:05 so the,
1:18:05 the question for,
1:18:07 um,
1:18:10 For,
1:18:11 for,
1:18:11 um,
1:18:12 from Carlos on,
1:18:13 on institutional investors.
1:18:15 Um,
1:18:16 so,
1:18:17 again,
1:18:17 I mean,
1:18:17 the,
1:18:18 the,
1:18:18 in,
1:18:18 in general,
1:18:19 we,
1:18:19 we think that,
1:18:20 I mean,
1:18:22 I,
1:18:22 I guess we could accept the fact that,
1:18:24 let's say in Chile,
1:18:25 Colombia,
1:18:26 uh,
1:18:27 pension systems designed on,
1:18:29 on
1:18:30 individual accounts and uh individual capitalization,
1:18:33 those actually by definition increase
1:18:35 uh domestic savings.
1:18:36 I mean,
1:18:36 by construction,
1:18:37 they increase domestic savings.
1:18:38 That's,
1:18:38 that's
1:18:39 just true.
1:18:40 um,
1:18:40 and then these were managed professionally managed
1:18:42 by institutional investors and we believe that,
1:18:44 that helped
1:18:45 develop the domestic equity and,
1:18:47 and bond market.
1:18:47 In the case of Colombia,
1:18:48 the,
1:18:49 the sovereign bond market is
1:18:50 very liquid is perhaps in,
1:18:52 in the Western Hemisphere,
1:18:53 the,
1:18:54 the sovereign bond market is the most liquid.
1:18:56 Uh,
1:18:57 the market,
1:18:57 uh,
1:18:58 in,
1:18:58 in the entire hemisphere.
1:18:59 But
1:19:00 what I'm,
1:19:01 guess what I'm highlighting in the research is that there's some,
1:19:03 some limitations,
1:19:04 some constraints to that,
1:19:05 that development that we need to consider because of the market structure.
1:19:08 That,
1:19:08 that's the point that we want to highlight.
1:19:09 But in general,
1:19:10 where pension funds matter for development,
1:19:12 yes,
1:19:12 I mean,
1:19:12 but again,
1:19:13 by construction,
1:19:13 they increase,
1:19:14 increase savings,
1:19:15 um,
1:19:15 privacy.
1:19:16 Now,
1:19:16 the,
1:19:17 the,
1:19:17 the question in,
1:19:18 in the questions on,
1:19:19 on fluctuation,
1:19:20 that's sort of uh,
1:19:20 uh,
1:19:21 a more general questions.
1:19:22 I'm,
1:19:22 I'm with Susan in the sense that I'm a true believer of index investing,
1:19:25 you know,
1:19:26 if,
1:19:26 if you have no,
1:19:27 no knowledge whatsoever,
1:19:28 if you
1:19:29 come to a class of,
1:19:30 of,
1:19:30 of investments 101,
1:19:33 it might not sound very attractive to many investors,
1:19:36 but that's uh what we know from,
1:19:37 I mean,
1:19:37 what we know from the research of 50 years is what works,
1:19:41 you know,
1:19:41 indexing passive investing rather than,
1:19:43 than active
1:19:44 uh
1:19:45 investing.
1:19:46 Anyways,
1:19:46 I'll turn it to Susan.
1:19:51 I,
1:19:51 I think the question about Latin America,
1:19:54 does it have enough companies?
1:19:56 I mean,
1:19:56 it certainly has enough companies for a regional exchange,
1:19:59 um,
1:20:00 but I think that this issue of how do you treat listing,
1:20:03 say,
1:20:03 in the US markets is interesting,
1:20:06 and,
1:20:06 and in that way,
1:20:07 this is what
1:20:08 is happening and maybe it's hindered Latin American
1:20:10 equity markets that the largest companies do list
1:20:13 in New York and you definitely see this in Mexico very clearly.
1:20:17 Uh,
1:20:17 and,
1:20:18 and they,
1:20:19 you know,
1:20:19 trade corporate bonds and issue bonds there too.
1:20:22 So,
1:20:22 but I do think that if you
1:20:24 could pull together,
1:20:26 you've certainly got enough,
1:20:27 um,
1:20:28 very large companies.
1:20:30 And the reason that I think you can't just say,
1:20:32 well,
1:20:33 let's just use New York as our capital market
1:20:35 is what it does to the medium sized firms and large,
1:20:39 but large,
1:20:40 say,
1:20:40 domestic companies,
1:20:42 but not.
1:20:42 Um,
1:20:43 international or multi-country players that it's very difficult and costly
1:20:48 for those smaller types of companies to raise equity capital.
1:20:52 So this is why
1:20:53 I do think that,
1:20:54 that,
1:20:54 that regional or domestic equity markets are important
1:20:58 to open the door for startups,
1:21:00 for medium-sized firms,
1:21:01 for domestic companies.
1:21:03 Uh,
1:21:03 the largest companies,
1:21:05 multinationals,
1:21:05 of course,
1:21:06 can and do list in London and
1:21:08 New York,
1:21:09 but at least when they do a dual listing with the local market,
1:21:11 they're providing
1:21:13 liquidity and,
1:21:14 and momentum.
1:21:15 But I do think it's a,
1:21:16 it's a good question about what is sort of a minimum viable size
1:21:21 in terms of number of companies,
1:21:23 say,
1:21:23 with over 500 million in revenue
1:21:26 or something.
1:21:33 And Susan,
1:21:34 I,
1:21:34 I'll,
1:21:34 I won't get you off the hook.
1:21:36 Uh,
1:21:36 Dion has
1:21:37 had a,
1:21:37 a,
1:21:38 a question about that.
1:21:38 What do you think about that,
1:21:41 so look,
1:21:42 my big picture,
1:21:43 if I was thinking.
1:21:46 and I'm gonna say what I think is useful as opposed to academically interesting,
1:21:51 but I,
1:21:52 like I said,
1:21:52 I think
1:21:54 I think cracking the nut of
1:21:56 what policies actually promote more effective equity market performance
1:22:02 is really critical because at this point,
1:22:04 pretty much every middle-income and lower middle-income country
1:22:07 has a stock exchange
1:22:09 and they all suffer from the problems you outlined
1:22:13 in Colombia.
1:22:14 And how do we move away from that and,
1:22:16 and I guess I would
1:22:17 say part of the answer could be looking at case studies like Israel or South Korea.
1:22:23 And then I think there's just analytical work to do about
1:22:26 um statistically,
1:22:29 which interventions seem to,
1:22:31 to lower the market distortions.
1:22:33 From the IFC perspective,
1:22:35 that's an interesting picture because one of the things we try to do.
1:22:39 is develop
1:22:40 domestic capital markets.
1:22:42 Um,
1:22:43 and of course,
1:22:43 World Bank One,
1:22:44 you've probably heard the term private capital mobilization,
1:22:47 and you're probably gonna hear it
1:22:49 10 more times today alone.
1:22:51 So it's a big topic,
1:22:53 uh,
1:22:53 and developing equity markets fits into that.
1:22:56 But I think also from the IFC perspective,
1:22:59 Um,
1:23:00 uh,
1:23:01 my question is about what kind of
1:23:04 price advantage or bonus do you get,
1:23:06 for instance,
1:23:07 for meeting ESG standards
1:23:10 or climate standards or green standards.
1:23:14 Uh,
1:23:14 there's a
1:23:15 proliferation,
1:23:16 particularly on the debt side of
1:23:18 Sustainability bonds,
1:23:19 sustainability linked bonds,
1:23:21 blue bonds,
1:23:22 green bonds,
1:23:22 and actually IFC is often the first
1:23:24 creator of these things.
1:23:26 Um,
1:23:27 on the,
1:23:27 uh,
1:23:27 so there's a question there about how sustained is that price advantage.
1:23:31 Um,
1:23:32 and on the equity side,
1:23:34 I would be interested if companies
1:23:36 that if they're meeting higher standards on
1:23:39 Whether it's gender or diversity or climate or other ESG measures,
1:23:44 if they actually get a sustained,
1:23:46 uh,
1:23:46 premium from investors and what does it take in terms of disclosure and auditing
1:23:52 to get that premium.
1:23:53 So
1:23:54 maybe there's a joint,
1:23:55 uh,
1:23:55 bit of research we could think about
1:23:57 on that.
1:24:02 Well,
1:24:02 thank you,
1:24:02 Susan,
1:24:02 and,
1:24:03 and it's never easy to prioritize like that,
1:24:05 but,
1:24:05 but that is helpful for for going forward.
1:24:07 Um,
1:24:08 I think we've,
1:24:08 we're reaching the end here.
1:24:09 Um,
1:24:11 uh,
1:24:11 so I'm gonna draw this to a close and thank everybody.
1:24:14 Uh,
1:24:14 Alvaro and Susan,
1:24:16 do you have any last words you'd like to put in before we,
1:24:18 we literally close the book on this?
1:24:23 Now,
1:24:23 I wanna thank you,
1:24:24 Dion,
1:24:24 and thank you,
1:24:25 Alvaro.
1:24:26 Um,
1:24:27 that was a really nice presentation of your papers and I enjoyed,
1:24:30 uh,
1:24:30 reading them and,
1:24:31 and thinking about this.
1:24:33 Thank you Susan for coming and thank you Alvaro for the
1:24:35 presentation for everybody for your different and interesting questions and,
1:24:39 and we'll hopefully see some of you,
1:24:41 many of you at our next uh policy research talk.
1:24:44 Uh,
1:24:44 so thank you and have a good rest of your day.
1:24:47 Bye-bye.
1:24:48 Bye.
1:24:49 And you
1:24:51 Thanks everyone.
1:24:52 Have a nice day.
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