connecting two views on financial globalization: can we make further progress?

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Connecting Two Views on Financial Globalization: Can We Make Further Progress?. Shang-Jin Wei IMF, NBER & CEPR Personal Views Only. What does Financial Globalization do? The gap between theories and empirics In theory, benefits through many channels - PowerPoint PPT Presentation

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Connecting Two Views on Financial Globalization:

Can We Make Further Progress?

Shang-Jin Wei

IMF, NBER & CEPR

Personal Views Only

• What does Financial Globalization do?• The gap between theories and empirics

– In theory, benefits through many channels• Direct: savings, cost of capital, and transfer of

technology,• Indirect: development of domestic financial market,

more specialization, and better policies

– In the data, evidence not strong

(Eichengreen, 2000; Prasad, Rogoff, Wei, and Kose, 2003; Kose, Prasad, Rogoff, and Wei, 2006)

• Reconciling theories with empirical patterns:• Two independent proposals

– The composition effect: • Some capital flows are more beneficial than others

– The threshold effect:• Benefits of FG can be realized only if the recipient

countries meet some conditions

• Eichengreen (2000), Prasad, Rogoff, Wei, and Kose (2003)

Roadmap for discussion

• How do the two effects work?

• My take on the two effects– The composition is a reflection of the threshold effect

• Challenges to this interpretation

• Response to the challenge

The composition hypothesis

• Not all capital flows are equal

• FDI and maybe portfolio inflow are more beneficial to growth than debt– Desoto and Reisen 2001; Bekaert, Harvey, and

Lundblad, 2005, JFE

• FDI is also less volatile than international bank loans -> More reliance on bank loans increases vulnerability to currency crashes – Frankel and Rose, 1996; Frankel and Wei, 2005

Volatility of (FDI/GDP) and (Loan/GDP) (1980-2003, Measured by Standard Deviation)

0.0

2.0

4.0

6.0

8S

tan

da

rd D

evia

tion

.

FDI/GDP Loan/GDP

The Threshold Effect

• Certain minimum conditions have to be met before a country can benefit from FG

• Institutions– Low corruption / decent rule of law

• Otherwise, FG may exacerbate distortions

– Reasonable level of financial development• So international capital can be channeled into investment

– Human capital

Are the Two Effects Connected?

• Yes!– Earlier: Wei (2000, 2001), Wei and Wu (2002)– Recently: Faria and Mauro (2005)

• Why? – Insight from the literature from corporate

finance– A built-in bias in the international financial

architecture

Challenges

• Countries with worse financial institutions appear to attract more (not less) FDI

• Albuquerque (JIE 2003)• Also see Hausmann and Fernandez-Aris (2000)

• Even if public governance and composition of capital inflows are related as hypothesized, how do we know the relationship is causal?

Answers to the Challenges

• Separate the effects of financial development and weak governance

• Find instrumental variables for government corruption and financial development

Why would weaker financial development be

associated with more FDIs?• Caballero, Farhi and Gourinchas, 2005,

“An eqbm model of ‘global imbalances’ and low interest rates.”

• Ju and Wei, 2005, “A solution to two paradoxes on international capital flows”

• Instrumental variable for government corruption:

• Initial cost to colonizers –mortality rate of European settlers before 1850

• Acemoglu, Johnson, and Robinson (AER 2001)

• Alternative: initial population density in 1500

• Instrumental variables for financial development:

• Legal origins: La Porta, Lopez-de-silanes, Shleifer, and Vishny (JPE 1998)

• Settler mortality

(History-based) instrumental variables

• Corruption is mostly affected by settler mortality but not by legal origin

• Financial development is affected by both legal origins and settler mortality.

• The basic specification:

(1) Composition(j) = β1 Corruption(j)

+ β2 FinDev(j) + Z(j)Γ + e(j)

Zj is a vector of control variables,

β1, β2, and Γ are parameters

ej is a random error.

First Stage Regressions:Using Histories to Instrument Modern-day Institutions

Corruption(GCR/WDR) Financial development Institutional Quality (1) (2) (3) (4) (5) (6) (7) (8) (9)

Log(settler mortality)

0.46** 0.31** -0.21** -0.38** -0.29**

(0.08) (0.08) (0.03) (0.07) (0.07)

Log(Population 0.27** 0.10 -0.07** density in 1500) (0.07) (0.08) (0.03)

Legal origin 0.37 0.62** -0.18** -0.14* -0.18** -0.06 (French) (0.23) (0.22) (0.08) (0.08) (0.08) (0.17)

Legal origin 0.00 0.00 0.74* 0.00 0.00 0.00 (German) (0.00) (0.00) (0.38) (0.00) (0.00) (0.00)

Legal origin 0.00 0.00 0.70* 0.00 0.00 0.00 (Scandivanian) (0.00) (0.00) (0.38) (0.00) (0.00) (0.00)

Legal origin 0.71 0.79 -0.25** -0.29 -0.14 -0.98** (Socialist) (0.66) (0.72) (0.10) (0.21) (0.25) (0.45)

Observations 44 48 40 44 120 60 73 70 61 R-squared 0.44 0.24 0.36 0.20 0.14 0.47 0.14 0.33 0.29

Explaining the Ratio of FDI/ Total Foreign Liabilities in 2003

IV regressions Corruption(GCR/WDR) -0.10** -0.65** -0.56** (0.04) (0.23) (0.24)

Financial development 0.17* -1.07** -0.88* (0.09) (0.44) (0.46)

Resource a 0.13 (0.13)

Openness a 0.12* (0.07)

Observations 40 34 34 34 R-squared 0.15 0.09 0.28 0.36

Explaining Portfolio Equity/Total Foreign Liabilities in 2003

IV regressions Corruption(GCR/WDR) -0.07** 0.06 0.09 (0.01) (0.09) (0.09)

Financial development 0.14** 0.25 0.31* (0.03) (0.17) (0.18)

Resource a 0.04 (0.05)

Openness a 0.01 (0.03) Observations 40 34 34 34 R-squared 0.37 0.37 0.38 0.40

Explaining Portfolio Debt/ Total Foreign Liabilities in 2003

IV regressions Corruption(GCR/WDR) -0.10** -0.34** -0.31** (0.03) (0.14) (0.14)

Financial development 0.19** -0.45* -0.40 (0.05) (0.26) (0.27)

Resource a 0.05 (0.08)

Openness a -0.08* (0.04)

Observations 40 34 34 34 R-squared 0.26 0.27 0.39 0.47

Explaining Outstanding Foreign Loans/ Total Foreign Liabilities in 2003

IV regressions Corruption(GCR/WDR) 0.36** 0.87** 0.67* (0.06) (0.30) (0.33)

Financial development -0.57** 1.10* 0.65 (0.13) (0.60) (0.66)

Resource a -0.15 (0.18)

Openness a -0.23 (0.14)

Observations 38 33 33 33 R-squared 0.53 0.38 0.52 0.56

Total Capital Inflows Per Capita in Logarithm (2003)

IV regression Corruption(GCR/WDR) -2.15** -6.48** 0.79 0.88 (0.36) (1.56) (1.69) (1.79)

Financial development 2.57** -9.74** 0.68 0.87 (0.71) (3.01) (2.80) (3.00)

Log(Human capital stock) 0.32 0.31 (0.38) (0.40)

Log(Capital stock per capita) 0.95** 0.92** (0.18) (0.19)

Resource a 0.33 (0.74)

Openness a 0.22 (0.39)

Observations 40 34 34 28 28 R-squared 0.48 0.29 0.54 0.82 0.82

Table 6: Alternative Measure of Institutions – Average of Six World Bank Indicators

IV Regression FDI/total

foreign liability

Portolio equity /total foreign liability

Portolio debt /total foreign liability

Loan/total foreign liability

Institutional Quality 0.67** -0.11 0.38** -0.81* (0.29) (0.11) (0.17) (0.40)

Financial development

-0.88* 0.31* -0.40 0.65

(0.46) (0.18) (0.27) (0.66)

Resource a 0.13 0.04 0.05 -0.15 (0.13) (0.05) (0.08) (0.18)

Openness a 0.12* 0.01 -0.08* -0.23 (0.07) (0.03) (0.04) (0.14)

Observations 34 34 34 33 R-squared 0.36 0.40 0.47 0.56

Table 7: Adding more control variables (IV Regressions)

FDI/total foreign liability

Portolio equity/total

foreign liability

Portolio debt /total foreign

liability

Loan/total foreign liability

(1) (2) (3) (4) (5) (6) (7) (8) Corruption(GCR/WDR) -0.55** -0.42* 0.09 0.17* -0.34** -0.27* 0.69* 0.29 (0.24) (0.25) (0.10) (0.09) (0.14) (0.13) (0.34) (0.28)

Financial development -0.87* -0.76 0.31* 0.38** -0.48* -0.42* 0.72 0.28 (0.48) (0.46) (0.19) (0.16) (0.26) (0.25) (0.68) (0.54)

Resource a 0.13 0.12 0.04 0.04 0.05 0.05 -0.15 -0.16 (0.13) (0.13) (0.05) (0.04) (0.07) (0.07) (0.18) (0.14)

Openness a 0.13* 0.17** 0.01 0.04 -0.09** -0.07* -0.22 -0.39** (0.07) (0.07) (0.03) (0.02) (0.04) (0.04) (0.15) (0.12)

FDI restrition Dummy -0.01 -0.06 -0.00 -0.03* 0.05* 0.02 -0.04 0.09 (0.05) (0.06) (0.02) (0.02) (0.03) (0.03) (0.07) (0.06)

Log(GDP) 0.04* 0.03** 0.02* -0.10** (0.02) (0.01) (0.01) (0.02) Observations 34 34 34 34 34 34 33 33 R-squared 0.36 0.43 0.40 0.58 0.53 0.59 0.57 0.74

Summary (1)

• Corruption does not appear to have a strong effect on a country’s total foreign liabilities.

• It affects the composition significantly. As FDI and portfolio debt are strongly discouraged, foreign loans take their places.

• Corruption increases a country’s vulnerability to a balance-of-payments crisis by altering its composition of capital inflows in an unfavorable direction.

Summary (2)

• Financial development does not appear to have a strong effect on total foreign liabilities.

• However, a weaker financial system appears to induce more FDIs.

• A weaker financial system is likely to discourage inflows of portfolio equity and portfolio debt.

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