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Net Foreign Assets (Com)position:
Does Financial Development Matter?
Robert Vermeulen – De Nederlandsche Bank
Jakob de Haan – De Nederlandsche Bank, RUG & CESIfo
Eesti Pank
Tallinn, 8 May 2012
Views expressed in this presentation do not necessarily coincide with those of De Nederlandsche Bank.
The paper in one slide
• Investigate the empirical link between domestic
financial development and
1. Total net foreign asset position
2. Net foreign equity position
3. Net foreign debt position
• Analyse 51 countries during 1970-2007
• Pooled mean group estimator (long run relationship)
• Confirm theoretical predictions of Mendoza et al. (2009)
1. Financial development ↑ → Total net foreign asset position ↓
2. Financial development ↑ → Net equity position ↑
3. Financial development ↑ → Net debt position ↓
Motivation
• Global savings glut drives global imbalances (Bernanke,
2005, 2009)
• Potential cause of financial crisis
• Asian countries need to develop financial markets
• Sustained deficits and surpluses create large net foreign
asset positions
• Even larger gross asset and debt positions
• Currency denomination matters
• Large net foreign asset positions undesirable
• EU Commission scorecard indicator
• Mandatory correction when very negative
Theoretical framework
• Mendoza et al. (2009, JPE) model
• Basic idea
• 2 identical economies, only difference is the degree of
domestic financial development
• Financial development allows agents to buy state
contingent claims to insure against bad states of
nature
• Agents in the financially more developed country are
willing to take more risk because they have insurance
• In autarky both the return on capital and the interest
rate are higher in the financially more developed
country
Theoretical framework
When both countries become financially integrated
• The financially more developed country buys foreign
productive assets and sells domestic bonds
• In equilibrium the financially more developed country
obtains a negative net foreign asset position
• The NFA is negative in equilibrium because the return
on productive assets is higher
• The model generates three testable predictions:
1. Financial development ↑ → Total net foreign asset position ↓
2. Financial development ↑ → Net equity position ↑
3. Financial development ↑ → Net debt position ↓
Empirical literature
• First paper to empirically link domestic financial
development to net foreign asset positions
• Preliminary analysis by Lane and Milesi-Ferretti (2000)
• Gross asset positions and capital flows
• Financial development has positive effect on gross
foreign assets and liabilities (Lane, 2000)
• Capital controls affect outflows, but not inflows (Binici
et al, 2011)
• Financial development and current account position
• No relationship (Gruber and Kamin, 2009)
• Nonlinear relationship (Chinn and Ito, 2007)
Data
• Net foreign asset (com)position
• Lane and Milesi-Ferretti database
• Large country coverage and timespan (1970-2007)
• Financial development
• Beck et al financial structure database
• Private credit/GDP ratio
• Other control variables
• Current account
• GDP growth
• Exchange rate depreciation
• Capital controls
Data
• Calculating net foreign asset positions:
• Total net asset position (= (total assets – total liabilities)
/ GDP)
• Net equity position (= (portfolio equity assets + FDI
assets – portfolio equity liabilities – FDI liabilities) /GDP)
• Net debt position (= (total debt assets – total debt
liabilities) / GDP)
• Private credit / GDP ratio
• Anglo-Saxon view of financial development
• Important for interpretation of results
• Variable is not informative about stability
Methodology
• Pooled mean group estimator (Pesaran et al, 1999)
• Account for nonstationarity of variables
• Relatively large number of countries (51)
• Reasonably long time-span (1970-2007)
• Too short for individual country VARs
• Panel VAR too restrictive
• PMG assumes common long run coefficients, while short
run coefficients can differ across countries
• Test appropriateness with Hausman test
• Formally, in error correction form:
ΔNFAp,i,t = φp,i*(NFAp,i,t-1 - θ0,p,i – θ1,p,i *FDi,t) +
γ1,p,i *Δ FDi,t + Λp,i *Xi,t + εp,i,t
Benchmark results
NFA NFE NFD
Long-run coefficient:
Private credit / GDP -0.140*** 0.086*** -0.183***
(0.032) (0.024) (0.041)
Error correction
coefficient -0.183*** -0.106*** -0.137***
(0.015) (0.028) (0.019)
Short-run coefficients:
Δ Private credit / GDP 0.048 -0.005 0.052
(0.096) (0.047) (0.085)
Current account (% of GDP) 0.642*** -0.035 0.486***
(0.122) (0.060) (0.083)
GDP growth 0.367*** 0.124*** 0.314***
(0.054) (0.030) (0.042)
Exchange rate depreciation (%) 0.069** 0.097*** 0.031
(0.032) (0.025) (0.028)
Capital account openness -0.006 -0.012*** 0.006
(0.005) (0.004) (0.005)
Observations 1,659 1,659 1,659
Log-likelihood 2697 4081 2956
Hausman test 0.55 0.27 0.57
Benchmark results
• Confirm theoretical predictions of Mendoza et al. (2009)
1. Financial development ↑ → Total net foreign asset position ↓
2. Financial development ↑ → Net equity position ↑
3. Financial development ↑ → Net debt position ↓
• Long run cointegrating relationship
• Significant error-correction coefficient, but quite slow adjustment
• Short run coefficients are important for model fit
• Country-individual coefficients
• Only average reported
• Capture cross-country heterogeneity
• Hausman test confirms validity of long-run restriction of a
common coefficient for all countries
Benchmark results
(fit NFA)
United States
-0.25
-0.2
-0.15
-0.1
-0.05
0
0.05
0.1
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
Thailand
-0.9
-0.8
-0.7
-0.6
-0.5
-0.4
-0.3
-0.2
-0.1
0
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
Benchmark results
(fit NFE)
United States
0
0.05
0.1
0.15
0.2
0.25
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
Thailand
-0.6
-0.5
-0.4
-0.3
-0.2
-0.1
0
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
Benchmark results
(fit NFD)
United States
-0.45
-0.4
-0.35
-0.3
-0.25
-0.2
-0.15
-0.1
-0.05
0
0.05
0.1
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
Thailand
-0.8
-0.7
-0.6
-0.5
-0.4
-0.3
-0.2
-0.1
0
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
Robustness across countries & time
Industrial (1970-2007) Industrial (1980-2007)
NFA NFE NFD NFA NFE NFD
Long-run coefficient:
Private credit / GDP -0.115*** 0.054** -0.231*** -0.155*** 0.051** -0.127***
(0.033) (0.021) (0.043) (0.036) (0.021) (0.032)
Error correction coefficient -0.225*** -0.215*** -0.154*** -0.255*** -0.242*** -0.190***
(0.023) (0.056) (0.039) (0.033) (0.052) (0.043)
Developing (1970-2007) Developing (1980-2007)
NFA NFE NFD NFA NFE NFD
Long-run coefficient:
Private credit / GDP -0.270*** 0.486*** 0.373** -0.221*** 0.408*** 0.759***
(0.081) (0.072) (0.151) (0.057) (0.062) (0.098)
Error correction coefficient -0.164*** -0.042 -0.135*** -0.171*** -0.037 -0.152***
(0.019) (0.026) (0.021) (0.020) (0.025) (0.020)
Further robustness checks
1. Financial development indicator
• Bank credit/bank deposits
• Total deposits/GDP
2. Additional control variables
• Net exports instead of current account
• Real effective exchange rate instead of exchange
rate
3. Extending the long run cointegrated vector
• “Cumulative” current accounts
• GDP per capita
Conclusion
• First paper documenting long run relationship domestic
financial development and net foreign asset positions
1. Financial development ↑ → Total net foreign asset position ↓
2. Financial development ↑ → Net equity position ↑
3. Financial development ↑ → Net debt position ↓
• Confirm the theoretical predictions of Mendoza et al
(2009, JPE)
• Results suggest that in the long run financial development
contributes to diminishing current global imbalances
• However, the process is slow: On average every year
about 15 percent of the gap between the current and the
long-run position is closed

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Robert Vermeulen. Net Foreign Assets (Com)position: Does Financial Development Matter?

  • 1. Net Foreign Assets (Com)position: Does Financial Development Matter? Robert Vermeulen – De Nederlandsche Bank Jakob de Haan – De Nederlandsche Bank, RUG & CESIfo Eesti Pank Tallinn, 8 May 2012 Views expressed in this presentation do not necessarily coincide with those of De Nederlandsche Bank.
  • 2. The paper in one slide • Investigate the empirical link between domestic financial development and 1. Total net foreign asset position 2. Net foreign equity position 3. Net foreign debt position • Analyse 51 countries during 1970-2007 • Pooled mean group estimator (long run relationship) • Confirm theoretical predictions of Mendoza et al. (2009) 1. Financial development ↑ → Total net foreign asset position ↓ 2. Financial development ↑ → Net equity position ↑ 3. Financial development ↑ → Net debt position ↓
  • 3. Motivation • Global savings glut drives global imbalances (Bernanke, 2005, 2009) • Potential cause of financial crisis • Asian countries need to develop financial markets • Sustained deficits and surpluses create large net foreign asset positions • Even larger gross asset and debt positions • Currency denomination matters • Large net foreign asset positions undesirable • EU Commission scorecard indicator • Mandatory correction when very negative
  • 4. Theoretical framework • Mendoza et al. (2009, JPE) model • Basic idea • 2 identical economies, only difference is the degree of domestic financial development • Financial development allows agents to buy state contingent claims to insure against bad states of nature • Agents in the financially more developed country are willing to take more risk because they have insurance • In autarky both the return on capital and the interest rate are higher in the financially more developed country
  • 5. Theoretical framework When both countries become financially integrated • The financially more developed country buys foreign productive assets and sells domestic bonds • In equilibrium the financially more developed country obtains a negative net foreign asset position • The NFA is negative in equilibrium because the return on productive assets is higher • The model generates three testable predictions: 1. Financial development ↑ → Total net foreign asset position ↓ 2. Financial development ↑ → Net equity position ↑ 3. Financial development ↑ → Net debt position ↓
  • 6. Empirical literature • First paper to empirically link domestic financial development to net foreign asset positions • Preliminary analysis by Lane and Milesi-Ferretti (2000) • Gross asset positions and capital flows • Financial development has positive effect on gross foreign assets and liabilities (Lane, 2000) • Capital controls affect outflows, but not inflows (Binici et al, 2011) • Financial development and current account position • No relationship (Gruber and Kamin, 2009) • Nonlinear relationship (Chinn and Ito, 2007)
  • 7. Data • Net foreign asset (com)position • Lane and Milesi-Ferretti database • Large country coverage and timespan (1970-2007) • Financial development • Beck et al financial structure database • Private credit/GDP ratio • Other control variables • Current account • GDP growth • Exchange rate depreciation • Capital controls
  • 8. Data • Calculating net foreign asset positions: • Total net asset position (= (total assets – total liabilities) / GDP) • Net equity position (= (portfolio equity assets + FDI assets – portfolio equity liabilities – FDI liabilities) /GDP) • Net debt position (= (total debt assets – total debt liabilities) / GDP) • Private credit / GDP ratio • Anglo-Saxon view of financial development • Important for interpretation of results • Variable is not informative about stability
  • 9. Methodology • Pooled mean group estimator (Pesaran et al, 1999) • Account for nonstationarity of variables • Relatively large number of countries (51) • Reasonably long time-span (1970-2007) • Too short for individual country VARs • Panel VAR too restrictive • PMG assumes common long run coefficients, while short run coefficients can differ across countries • Test appropriateness with Hausman test • Formally, in error correction form: ΔNFAp,i,t = φp,i*(NFAp,i,t-1 - θ0,p,i – θ1,p,i *FDi,t) + γ1,p,i *Δ FDi,t + Λp,i *Xi,t + εp,i,t
  • 10. Benchmark results NFA NFE NFD Long-run coefficient: Private credit / GDP -0.140*** 0.086*** -0.183*** (0.032) (0.024) (0.041) Error correction coefficient -0.183*** -0.106*** -0.137*** (0.015) (0.028) (0.019) Short-run coefficients: Δ Private credit / GDP 0.048 -0.005 0.052 (0.096) (0.047) (0.085) Current account (% of GDP) 0.642*** -0.035 0.486*** (0.122) (0.060) (0.083) GDP growth 0.367*** 0.124*** 0.314*** (0.054) (0.030) (0.042) Exchange rate depreciation (%) 0.069** 0.097*** 0.031 (0.032) (0.025) (0.028) Capital account openness -0.006 -0.012*** 0.006 (0.005) (0.004) (0.005) Observations 1,659 1,659 1,659 Log-likelihood 2697 4081 2956 Hausman test 0.55 0.27 0.57
  • 11. Benchmark results • Confirm theoretical predictions of Mendoza et al. (2009) 1. Financial development ↑ → Total net foreign asset position ↓ 2. Financial development ↑ → Net equity position ↑ 3. Financial development ↑ → Net debt position ↓ • Long run cointegrating relationship • Significant error-correction coefficient, but quite slow adjustment • Short run coefficients are important for model fit • Country-individual coefficients • Only average reported • Capture cross-country heterogeneity • Hausman test confirms validity of long-run restriction of a common coefficient for all countries
  • 12. Benchmark results (fit NFA) United States -0.25 -0.2 -0.15 -0.1 -0.05 0 0.05 0.1 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 Thailand -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006
  • 13. Benchmark results (fit NFE) United States 0 0.05 0.1 0.15 0.2 0.25 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 Thailand -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006
  • 14. Benchmark results (fit NFD) United States -0.45 -0.4 -0.35 -0.3 -0.25 -0.2 -0.15 -0.1 -0.05 0 0.05 0.1 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 Thailand -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006
  • 15. Robustness across countries & time Industrial (1970-2007) Industrial (1980-2007) NFA NFE NFD NFA NFE NFD Long-run coefficient: Private credit / GDP -0.115*** 0.054** -0.231*** -0.155*** 0.051** -0.127*** (0.033) (0.021) (0.043) (0.036) (0.021) (0.032) Error correction coefficient -0.225*** -0.215*** -0.154*** -0.255*** -0.242*** -0.190*** (0.023) (0.056) (0.039) (0.033) (0.052) (0.043) Developing (1970-2007) Developing (1980-2007) NFA NFE NFD NFA NFE NFD Long-run coefficient: Private credit / GDP -0.270*** 0.486*** 0.373** -0.221*** 0.408*** 0.759*** (0.081) (0.072) (0.151) (0.057) (0.062) (0.098) Error correction coefficient -0.164*** -0.042 -0.135*** -0.171*** -0.037 -0.152*** (0.019) (0.026) (0.021) (0.020) (0.025) (0.020)
  • 16. Further robustness checks 1. Financial development indicator • Bank credit/bank deposits • Total deposits/GDP 2. Additional control variables • Net exports instead of current account • Real effective exchange rate instead of exchange rate 3. Extending the long run cointegrated vector • “Cumulative” current accounts • GDP per capita
  • 17. Conclusion • First paper documenting long run relationship domestic financial development and net foreign asset positions 1. Financial development ↑ → Total net foreign asset position ↓ 2. Financial development ↑ → Net equity position ↑ 3. Financial development ↑ → Net debt position ↓ • Confirm the theoretical predictions of Mendoza et al (2009, JPE) • Results suggest that in the long run financial development contributes to diminishing current global imbalances • However, the process is slow: On average every year about 15 percent of the gap between the current and the long-run position is closed