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Does Financial Openness Lead to Deeper Domestic Financial Markets? Csar Caldern (The World Bank) Megumi Kubota (University of York) FPD Academy Award Seminar The World Bank July 28, 2010 Motivation Salient features of the global


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Does Financial Openness Lead to Deeper Domestic Financial Markets?

César Calderón (The World Bank) Megumi Kubota (University of York)

FPD Academy Award Seminar

The World Bank – July 28, 2010

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Motivation

 Salient features of the global economy:

 Rapid integration of advanced countries and

emerging market economies (EMs) to world capital markets.

 Important changes in the patterns of saving and

investment across the world.

 Deepening of financial markets across industrial

countries and EMs.

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Motivation

Rapid increase in financial openness (FO) and domestic financial development (DFD) over the last 25 years

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Motivation

 FO leads to faster DFD through different channels:

 Eliminating financial repression and shifting interest rates

to clearing-market competitive levels (Baldwin and Forslid,

2000)

 Raising the degree of bank competition –i.e. adoption of

more sophisticated banking techniques (Levine, 1996;

Caprio and Honohan, 1999).

 Displacing inefficient financial intermediaries and creating

pressures for a financial reform agenda (Stulz, 1999;

Stiglitz, 2000; Claessens et al. 2001; Chinn and Ito, 2006).

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Motivation

 FO, on the other hand, may lead to:

 Risky behavior by banks and trigger boom-bust cycles (Allen

and Gale, 1999; Schneider and Tornell, 2004; Tornell and Westermann, 2005)

 Agency problems (Allen and Gale 2000).

 Buy risky assets during lending booms  Bubbles may burst into banking crisis and recessions

 Financial liberalization may generate short-run tensions

(Kaminsky and Schmukler, 2008)

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Motivation

 The effect of FO on DFD is theoretically ambiguous.

 It becomes an empirical issue!

 Prior: The effect of FO on DFD depends on some

structural features of the economy.

 Institutional framework  Legal infrastructure

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Goal

 Goal of the paper: Test whether rising FO has led

to improvement in domestic financial markets.

 Test whether the effects of FO on DFD may

depend upon the country’s characteristics

 the degree of institutional quality,  investor protection, and  trade openness

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Contribution

 Contribution to the literature:

 First paper to evaluate the effects on DFD of FO using

“outcome” measures of cross-border asset trade rather than indicators of the lack of restrictions to perform cross-border trade

 Complements existing evidence that more intense

financial linkages may lead to deeper domestic financial markets after controlling for the legal and institutional framework of the country

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Main Findings

 Rising FO enhances DFD

 It enlarges size/activity of financial intermediaries

Expansion of credit and higher assets

 It improves the efficiency in the banking system

Reduction of net interest margins

 It contributes to the deepening of local stock markets and

private bond markets

Raising stock market capitalization and total value traded

Increasing private bond market capitalization

 Structure of foreign assets and liabilities appears to play

a role!

 Accumulation of risky vs. riskless assets

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Main Findings

 Response of DFD to higher FO depends upon:

 The level of institutional quality (IQ)  The degree of investor protection (IP)  International trade linkages of the domestic country (TO)

 DFD enhanced by FO in countries with moderate to

higher levels of IQ, IP, TO

 Bank size/activity (i.e. credit, deposits, assets)  Bank efficiency (i.e. net interest margin)  Bond markets (i.e. private bond market capitalization)

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Main Findings

 Rising FO deepens domestic financial markets.

 (+) impact on bank credit, bank assets, net interest margins,

capitalization of stock markets and private bond markets.

 Structure of foreign assets and liabilities appears to

play a role!

 Accumulation of risky vs. riskless assets

 Response of DFD to higher FO depends upon:

 The level of institutional quality  The degree of investor protection  International trade linkages of the domestic country.

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The Data

 Sample of 145 countries (24 industrial economies)  Annual information, 1974-2007 (unbalanced panel)  Domestic financial development (Beck, Demirguc-

Kunt, Levine, 2009)

 Size and activity of financial intermediaries  Efficiency and structure of commercial banking  Stock market development  Bond market development

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The Data

 Financial openness

 Outcome measures: Foreign assets and liabilities (Lane and

Milesi-Ferretti, 2001, 2007)

 Policy measure: Index of financial openness (Chinn-Ito, 2007)

 Intensity of financial openness?

 Control variables

 PPP-adjusted real GDP  Inflation  Exchange rate regimes: dual and freely falling (Reinhart and

Rogoff, 2004; Ilzetzki, Reinhart and Rogoff, 2008)

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Methodology

 Challenges of panel data estimation

 Presence of unobserved period- and country-specific effects  Most explanatory variables are likely endogenous. Need to

control for reverse causality.

 Method: IV estimation

 Need: Control reverse causation in financial openness

 DFD may affect cross-border asset holdings.

 Instruments for FO (Faria et al. 2007):

 Institutional quality (summary index: rule of law, corruption, bureaucratic

quality, and democratic accountability)

 Legal origin of the country (La Porta et al. 1998)  Natural resource abundance, and area of the country  Initial size of the country

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Baseline Regressions

Financial Integration and Domestic Financial Development Baseline IV Regression Analysis

Sample of 145 countries, 1974-2007 (annual observations) Dependent variable expressed as % of GDP, in logs

Numbers in parenthesis are robust standard errors. * (**) implies significance at the 10 (5) percent level.

Bank Bank Stock market Credit Assets Capitalization Explanatory variable

[1] [2] [3]

Financial Openness (FO)

0.094 ** 0.052 ** 0.349 ** Foreign liabilities (% GDP, logs) (0.03) (0.02) (0.08)

Control variables

Income per capita, lagged 0.641 ** 0.461 ** 1.048 **

(in logs)

(0.05) (0.04) (0.13) Trade openness, lagged 0.288 ** 0.289 ** 0.208 *

(Exports and imports, % of GDP, logs)

(0.04) (0.03) (0.11) Inflation, lagged

  • 0.232 **
  • 0.166 **
  • 0.223 **

(in logs)

(0.03) (0.03) (0.07) Falling exchange rate

  • 0.192 **
  • 0.138 **
  • 0.317 **

(lagged)

(0.04) (0.03) (0.08) Dual exchange rate regimes

  • 0.143
  • 0.043
  • 0.219

(lagged)

(0.10) (0.08) (0.17)

Observations

2441 2453 1380

R**2

0.857 0.883 0.851

Country- and time-effects

Yes Yes Yes

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Baseline Regressions

Financial Integration and Domestic Financial Development Baseline IV Regression Analysis

Sample of 145 countries, 1974-2007 (annual observations) Dependent variable expressed as % of GDP, in logs Bank Stock Market Credit Deposits Assets Capitalization Traded value Foreign assets 0.0758 **

  • 0.0035

0.0414 ** 0.4988 ** 1.0874 ** (% GDP, logs) (0.024) (0.019) (0.020) (0.080) (0.126) Nobs. 2360 2401 2374 1338 1367 R**2 0.859 0.881 0.886 0.855 0.859 Foreign liabilities 0.1021 **

  • 0.0437 **

0.0394 * 0.3529 ** 0.4375 ** (% GDP, logs) (0.025) (0.019) (0.021) (0.075) (0.121) Nobs. 2360 2401 2374 1338 1367 R**2 0.860 0.881 0.886 0.856 0.858 Foreign assets and 0.1004 **

  • 0.0466 **

0.0394 * 0.4546 ** 0.7490 ** liabilities (% GDP, logs) (0.027) (0.021) (0.022) (0.084) (0.136) Nobs. 2360 2401 2374 1338 1367 R**2 0.859 0.881 0.886 0.856 0.859

We control for income per capita, trade openness, inflation, and exchange rate regimes. All these control variables are lagged one period. Numbers in parenthesis are robust standard errors. * (**) implies significance at the 10 (5) percent level.

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Baseline Results: A Scorecard

Note: IV coefficient estimate of foreign liabilities (as % of GDP). [+] denotes a positive and statistically significant relationship, [ - ] denotes a negative and statistically significant coefficient, and [ 0 ] indicates a lack of significant in their relationship.

All Industrial Developing Dependent Variable Countries Countries Countries Activity of financial intermediaries

Private credit by deposit money banks (%of GDP, logs)

[+] [+] [ 0 ]

Private credit by financial system (% of GDP, logs)

[+] [+] [ 0 ]

Bank deposits (% of GDP, logs)

[ - ] [ 0 ] [ 0 ]

Financial deposits (% of GDP, logs)

[ - ] [ 0 ] [ 0 ]

Size of financial intermediaries

Total assets of deposit money banks (% of GDP, logs)

[+] [+] [ 0 ]

Total assets of the financial system (% of GDP, logs)

[+] [ 0 ] [+]

Liquid liabilities

[ 0 ] [ 0 ] [ 0 ]

Efficiency of financial intermediaries

Overhead costs (logs)

[ 0 ] [ 0 ] [ 0 ]

Net interest margin (logs)

[ - ] [ - ] [ - ]

Bank concentration (logs)

[+] [ 0 ] [+]

Stock markets

Stock market capitalization (% of GDP, logs)

[+] [+] [+]

Stock market total value traded (% of GDP, logs)

[+] [+] [ 0 ]

Number of listed companies (logs)

[ 0 ] [ - ] [+]

Bond markets

Private bond market capitalization (% of GDP, logs)

[ - ] [+] [ - ]

Public bond market capitalization (% of GDP, logs)

[ - ] [+] [ 0 ]

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Robustness analysis

 Our “baseline” estimates are robust to dropping from

  • ur sample:

 Sharp variations in financial variables  High inflation episodes

 Does the structure of external assets and liabilities

matter?

 Rising equity-related liability holdings leads to expansion of

credit and deposits

 Rising debt liability holdings is associated with contractions in

credit and deposits.

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Role of Structural Features

 Test whether the impact of FO on DFD depends

upon:

 Degree of institutional quality (IQ)  Investor protection (IP)  Extent of international trade integration (TO)

 We model the coefficient γit as:  Prior: γ1, γ2, γ3 >0 it it it it it it

TO IP IQ FO FD

1 1 1

γ γ γ γ γ + + + = ∂ ∂ ≡

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Role of Structural Features

Financial Integration and Domestic Financial Development: Role of Institutions, Investor Protection and Trade Openness

Sample of 145 countries, 1974-2007 (annual observations) Dependent variable expressed as % of GDP, in logs

Bank credit Bank deposit Stock market capitalization Foreign Foreign Foreign Foreign Foreign Foreign Foreign Foreign Foreign Assets Liabilities A & L Assets Liabilities A & L Assets Liabilities A & L [1] [2] [3] [4] [5] [6] [7] [8] [9] Financial openness (FO)

  • 2.190 **
  • 2.369 **
  • 2.118 **
  • 2.013 **
  • 2.162 **
  • 1.900 **

0.669

  • 0.259

0.669 as % of GDP (in logs) (0.28) (0.25) (0.25) (0.20) (0.19) (0.19) (1.04) (0.93) (1.04) FO x Institutional quality 0.354 ** 0.266 ** 0.240 ** 0.348 ** 0.258 ** 0.228 ** 0.084 0.089 0.084 (0.04) (0.02) (0.02) (0.03) (0.02) (0.02) (0.11) (0.06) (0.11) FO x Investor protection 0.801 ** 1.409 ** 1.339 ** 0.457 ** 0.970 ** 0.888 **

  • 1.440 **
  • 0.338
  • 1.440 **

(0.12) (0.17) (0.17) (0.08) (0.13) (0.13) (0.63) (0.80) (0.63) FO x Trade openness 0.086 ** 0.159 ** 0.123 ** 0.076 ** 0.136 ** 0.104 ** 0.007 0.088 0.007 (0.02) (0.02) (0.02) (0.02) (0.02) (0.02) (0.08) (0.08) (0.08) Nobs. 2395 2395 2395 2424 2424 2424 1375 1375 1375 R**2 0.860 0.864 0.864 0.874 0.878 0.880 0.854 0.852 0.854

We control for income per capita, trade openness, inflation, and exchange rate regimes. All these control variables are lagged one period. Numbers in parenthesis are robust standard errors. * (**) implies significance at the 10 (5) percent level.

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Role of Structural Features

Foreign Liabilities (FL) Dependent variable FL FL x IQ FL x IP FL x TO Nobs. R**2 Activity of financial intermediaries

Private credit by deposit money banks

  • 2.369 **

0.266 ** 1.409 ** 0.159 ** 2395 0.864

Private credit by financial system

  • 2.334 **

0.273 ** 1.454 ** 0.135 ** 2404 0.872

Bank deposits

  • 2.162 **

0.258 ** 0.970 ** 0.136 ** 2424 0.878

Financial deposits

  • 1.615 **

0.213 ** 0.461 ** 0.113 ** 2442 0.870

Size of financial intermediaries

Total assets of deposit money banks

  • 1.747 **

0.192 ** 0.986 ** 0.124 ** 2407 0.883

Total assets of the financial system

  • 1.617 **

0.221 ** 0.927 ** 0.088 ** 1079 0.908

Liquid liabilities

  • 1.714 **

0.160 ** 1.051 ** 0.134 ** 2368 0.860

Efficiency of financial intermediaries

Overhead costs

0.312

  • 0.026
  • 0.453

0.013 1281 0.851

Net interest margin

  • 0.051 **

0.001 0.044 ** 0.003 * 1257 0.820

Bank concentration

0.593 **

  • 0.017
  • 0.452 **
  • 0.035 *

1299 0.784

Stock markets

Stock market capitalization

  • 0.259

0.089

  • 0.338

0.088 1375 0.852

Stock market total value traded

0.309 0.124

  • 1.646

0.105 1412 0.848

Number of listed companies

1.569 **

  • 0.001
  • 1.708 **
  • 0.156 **

1267 0.914

Bond markets

Private bond market capitalization

  • 6.753 **

0.685 ** 2.401 ** 0.419 ** 593 0.890

Public bond market capitalization

3.431 **

  • 0.329 **
  • 2.538 **
  • 0.181 **

675 0.816

Numbers in parenthesis are robust standard errors. * (**) implies significance at the 10 (5) percent level.

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Role of Structural Features

Notes: Low (L) and high (H) levels of structural variables are computed as the 25th and 75th percentile of the distribution of the corresponding dimensions (with the other dimensions being evaluated at their medians). The p-value tests the null of equality in the effects whereas the alternative tests whether H is greater than L effect.

Response of bank credit Response of bank deposits Response of bank assets Response of liquid liabilities Structural Increase in: Increase in: Increase in: Increase in: Characteristic lfay lfly lfaly lfay lfly lfaly lfay lfly lfaly lfay lfly lfaly

Institutions

Low (L) [-] [0] [0] [-] [-] [-] [-] [0] [0] [0] [0] [0] Medium [0] [+] [+] [-] [-] [-] [+] [+] [+] [+] [+] [+] High (L) [+] [+] [+] [+] [0] [+] [+] [+] [+] [+] [+] [+] H vs. L (p-value ) (0.000) (0.000) (0.002) (0.000) (0.000) (0.000) (0.000) (0.001) (0.008) (0.000) (0.000) (0.003)

Investor protection

Low (L) [-] [-] [-] [-] [-] [-] [-] [-] [-] [+] [-] [-] Medium [0] [+] [+] [-] [-] [-] [+] [+] [+] [+] [+] [+] High (L) [+] [+] [+] [0] [+] [0] [+] [+] [+] [+] [+] [+] H vs. L (p-value ) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.168) (0.000) (0.000)

Trade openness

Low (L) [0] [0] [0] [-] [-] [-] [0] [0] [0] [+] [-] [-] Medium [0] [+] [+] [-] [-] [-] [+] [+] [+] [+] [+] [+] High (L) [+] [+] [+] [0] [0] [-] [+] [+] [+] [+] [+] [+] H vs. L (p-value ) (0.015) (0.000) (0.004) (0.005) (0.000) (0.001) (0.107) (0.000) (0.010) (0.047) (0.000) (0.000)

The Role of Structural Characteristics: Conditional response of domestic financial development to an increase in financial openness

(Response to doubling our measure of financial openness)

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Conditional Responses

  • 0.10
  • 0.05

0.00 0.05 0.10 0.15 Low Median High Low Median High Doubling FA/Y Doubling FL/Y

Bank credit response to FO conditional on the level of institutional quality

  • 0.12
  • 0.10
  • 0.08
  • 0.06
  • 0.04
  • 0.02

0.00 0.02 0.04 0.06 Low Median High Low Median High Doubling FA/Y Doubling FL/Y

Bank deposit response to FO conditional on the level of institutional quality

  • 0.10
  • 0.05

0.00 0.05 0.10 0.15 0.20 Low Median High Low Median High Doubling FA/Y Doubling FL/Y

Bank credit response to FO conditional on the level of investor protection

  • 0.16
  • 0.14
  • 0.12
  • 0.10
  • 0.08
  • 0.06
  • 0.04
  • 0.02

0.00 0.02 0.04 0.06 Low Median High Low Median High Doubling FA/Y Doubling FL/Y

Bank deposit response to FO conditional on the level of investor protection

Notes: Low (L) and high (H) levels of structural variables are computed as the 25th and 75th percentile of the distribution of the corresponding dimensions (with the other dimensions being evaluated at their medians). The extreme values of the lines crossing the bars represent the 95% confidence interval.

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Conditional Responses

Notes: Low (L) and high (H) levels of structural variables are computed as the 25th and 75th percentile of the distribution of the corresponding dimensions (with the other dimensions being evaluated at their medians). The extreme values of the lines crossing the bars represent the 95% confidence interval.

  • 0.08
  • 0.06
  • 0.04
  • 0.02

0.00 0.02 0.04 0.06 0.08 0.10 0.12 Low Median High Low Median High Doubling FA/Y Doubling FL/Y

Bank asset response to FO conditional on the level of investor protection

  • 0.06
  • 0.04
  • 0.02

0.00 0.02 0.04 0.06 0.08 0.10 Low Median High Low Median High Doubling FA/Y Doubling FL/Y

Bank asset response to FO conditional on the level of institutional quality

  • 1.2%
  • 1.0%
  • 0.8%
  • 0.6%
  • 0.4%
  • 0.2%

0.0% 0.2% Low Median High Low Median High Doubling FA/Y Doubling FL/Y

Net interest margin response to FO conditional on the level of institutional quality

  • 1.8%
  • 1.6%
  • 1.4%
  • 1.2%
  • 1.0%
  • 0.8%
  • 0.6%
  • 0.4%
  • 0.2%

0.0% 0.2% Low Median High Low Median High Doubling FA/Y Doubling FL/Y

Net interest margin response to FO conditional on the level of investor protection

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Robustness analysis II

 The estimates of our “augmented” model are robust

to:

 Excluding sharp variations in financial variables (associated

to lending booms, equity bubbles, etc.)

 Changes in the measure of institutional quality

 Political institutions, quality of institutions, socio-economic

environment, conflict

 Changes in the measure of investor protection

 Disclosure index, director liability, and shareholder suits

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Conclusions

 World economy characterized by:

 Rising financial globalization  Rapid increase in cross-border asset trade  Deepening of local financial markets

 How does FO affect DFD?

 Theoretically ambiguous  Empirical issue  Possible to determine causal impact?

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Conclusions

 Rising FO appears to enhance DFD by:

 Raising bank credit and total assets of the banking system  Reducing net interest margins  Increasing stock market capitalization and total value traded  Improving the capitalization of private bond markets

 Response of DFD to greater FO depends on institutions,

investor protection and trade openness.

 E.g. Banking size and activity expands in response to greater FO

in countries with moderate to high levels of institutions, investor protection and trade openness