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What are the stylized facts that characterize the dynamics of credit booms and the associated fluctuations in macro-economic aggregates? This paper answers this question by applying a method proposed in our earlier work for measuring and identifying credit booms to data for 61 emerging and industrial countries over the 1960-2010 period. We identify 70 credit boom events, half of them in each group of countries. Event analysis shows a systematic relationship between credit booms and a boom-bust cycle in production and absorption, asset prices, real exchange rates, capital inflows, and external deficits. Credit booms are synchronized internationally and show three striking similarities in industrial and emerging economies: (1) credit booms are similar in duration and magnitude, normalized by the cyclical variability of credit; (2) banking crises, currency crises or Sudden Stops often follow credit booms, and they do so at similar frequencies in industrial and emerging economies; and (3) credit booms often follow surges in capital inflows, TFP gains, and financial reforms, and are far more common with managed than flexible exchange rates.
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This paper proposes a methodology for measuring credit booms and uses it to identify credit booms in emerging and industrial economies over the past four decades. In addition, we use event study methods to identify the key empirical regularities of credit booms in macroeconomic aggregates and micro-level data. Macro data show a systematic relationship between credit booms and economic expansions, rising asset prices, real appreciations, widening external deficits and managed exchange rates. Micro data show a strong association between credit booms and firm-level measures of leverage, firm values, and external financing, and bank-level indicators of banking fragility. Credit booms in industrial and emerging economies show three major differences: (1) credit booms and the macro and micro fluctuations associated with them are larger in emerging economies, particularly in the nontradables sector; (2) not all credit booms end in financial crises, but most emerging markets crises were associated with credit booms; and (3) credit booms in emerging economies are often preceded by large capital inflows but not by financial reforms or productivity gains.
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Financial institutions --- Dollarization --- Monetary policy --- Financial risk management --- Risk management --- Monetary management --- Economic policy --- Currency boards --- Money supply --- Financial intermediaries --- Lending institutions --- Associations, institutions, etc.
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We test the hypothesis that net foreign asset positions are consistent with external solvency and examine the dynamics of external adjustment using data for 50 countries over the 1970-2006 period. Our analysis adapts Bohn's (2007) error-correction reaction function approach—which tests for a negative long-run relationship between net exports (NX) and net foreign assets (NFA) as a sufficiency condition for the intertemporal budget constraint to hold—to a dynamic panel framework. Pooled Mean Group and Mean Group error-correction estimation yield evidence of a statistically significant, negative response of NX to NFA. Moreover, we cannot reject the hypothesis that the response is largely homogeneous across countries. Our sensitivity analysis shows that the countries with relatively weaker fundamentals need to respond more strongly to the changes in NFA to keep their NFAs on a sustainable path.
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We examine the properties of house price fluctuations across eighteen advanced economies over the past forty years. We ask two specific questions: First, how synchronized are housing cycles across these countries? Second, what are the main shocks driving movements in global house prices? To address these questions, we first estimate the global components in house prices and various macroeconomic and financial variables. We then evaluate the roles played by a variety of global shocks, including shocks to interest rates, monetary policy, productivity, credit, and uncertainty, in explaining house price fluctuations using a wide range of FAVAR models. We find that house prices are synchronized across countries, and the degree of synchronization has increased over time. Global interest rate shocks tend to have a significant negative effect on global house prices whereas global monetary policy shocks per se do not appear to have a sizeable impact. Interestingly, uncertainty shocks seem to be important in explaining fluctuations in global house prices.
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