2014年-IMF国际货币组织全球_Global_Liquidity_and_Drivers_of_Cross_28页_1mb
报告摘要
Summary of "Global Liquidity and Drivers of Cross-Border Bank Flows"
Core Content
This working paper by Eugenio Cerutti, Stijn Claessens, and Lev Ratnovski examines the determinants of global liquidity, focusing on cross-border bank flows from the G4 (United States, United Kingdom, Euro Area, and Japan) to the rest of the world between 1990 and 2012. The paper highlights the growing interconnectedness of global financial markets and the role of financial center economies in shaping cross-border credit supply.
Main Findings
- Global Liquidity Definition: Global liquidity is defined as non-price determinants of cross-border credit supply, reflecting the "ease of financing" in international financial markets.
- Key Drivers:
- Uncertainty (VIX): The US VIX index is a significant indicator of global liquidity, with higher uncertainty leading to reduced cross-border flows.
- US Monetary Policy: Term premia in the US, UK, and Euro Area are robust negative drivers of cross-border flows, consistent with the "search for yield" behavior of banks.
- Bank Conditions: Bank leverage and TED spreads in the UK and Euro Area are important factors, often more so than their US counterparts.
- Monetary Aggregates: G4 M2 growth is positively associated with cross-border flows, though the sign flips for the US and Japan, suggesting different dynamics in their financial systems.
- Non-US Drivers: The paper emphasizes the role of non-US G4 economies in global liquidity, particularly the UK and Euro Area, which have a significant impact on cross-border flows.
- Borrower Country Characteristics: Borrower countries can mitigate exposure to global liquidity fluctuations by:
- Adopting more flexible exchange rate regimes.
- Implementing capital flow management tools.
- Strengthening bank supervision and regulation.
Empirical Methodology
- Data Sources: The authors use data from the BIS International Banking Statistics (IBS), which includes cross-border bank exposures for 77 countries.
- Variables Used:
- Global Liquidity Drivers: VIX, TED spreads, bank leverage, real credit growth, real interest rates, and yield curve slopes.
- Borrower Characteristics: Exchange rate flexibility, capital controls, institutional environment, and bank regulation.
- Regression Models:
- A base model with country fixed effects and clustered standard errors is used to estimate the impact of global liquidity on cross-border flows.
- Interaction terms are included to assess how borrower characteristics moderate the effect of global liquidity.
Key Insights
- Volatility and Risk Aversion: Uncertainty and risk aversion, as measured by the VIX, significantly influence global liquidity and cross-border flows.
- Bank Funding Conditions: US dealer bank leverage and TED spreads are important indicators of funding conditions, with the latter showing a strong negative relationship with cross-border flows.
- Monetary Policy Impact: The term premium is a clearer economic driver of bank risk-taking than interest rates, as it reflects the incentive to seek higher returns.
- Regional Differences: The UK and Euro Area have a more pronounced effect on global liquidity than the US, particularly in terms of bank leverage and TED spreads.
- Policy Implications: Borrower countries can reduce their exposure to global liquidity by adjusting their macroeconomic frameworks, capital flow management, and bank regulation. These policies are especially effective for countries with better institutions and more foreign bank presence.
Policy Relevance
- The paper underscores the importance of understanding global liquidity dynamics for effective policy formulation.
- It suggests that while US monetary policy remains influential, the UK and Euro Area play a crucial role in shaping global liquidity.
- Borrower countries should consider institutional and regulatory reforms to manage their exposure to global liquidity shocks.
Conclusion
The study contributes to the literature by expanding the understanding of global liquidity beyond US-centric factors and by highlighting the importance of borrower country characteristics in mitigating exposure to global liquidity fluctuations. It also provides empirical evidence that supports the idea of financial center economies being central to the global credit cycle.
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