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A Quantitative Assessment of Financial Conditions in Asia

Author

Listed:
  • Ms. Carolina Osorio-Buitron
  • Ms. Filiz D Unsal
  • Ms. Runchana Pongsaparn

Abstract

We propose a new Financial Condition Index (FCI) for Asian economies based on two different methodologies: a VAR model and a Dynamic Factor Model. The paper shows that this index has predictive power in forecasting GDP growth and may be thus used as a leading indicator. Based on the FCI, financial conditions in Asia tightened substantially earlier in the global crisis, reflecting losses in the stock markets and tighter credit conditions. In early 2010, financial conditions in Asia recovered rapidly and reached precrisis levels, thanks to accommodative monetary policies and a rapid rebound in regional equity markets.

Suggested Citation

  • Ms. Carolina Osorio-Buitron & Ms. Filiz D Unsal & Ms. Runchana Pongsaparn, 2011. "A Quantitative Assessment of Financial Conditions in Asia," IMF Working Papers 2011/170, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2011/170
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    References listed on IDEAS

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    1. Stock, James H. & Watson, Mark W., 1999. "Business cycle fluctuations in us macroeconomic time series," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 1, pages 3-64, Elsevier.
    2. William Dudley, 2010. "Comments on 'Financial Conditions Indexes: A New Look after the Financial Crisis'," Speech 16, Federal Reserve Bank of New York.
    3. James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc.
    4. Jan Hatzius & Peter Hooper & Frederic S. Mishkin & Kermit L. Schoenholtz & Mark W. Watson, 2010. "Financial Conditions Indexes: A Fresh Look after the Financial Crisis," NBER Working Papers 16150, National Bureau of Economic Research, Inc.
    5. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409, National Bureau of Economic Research, Inc.
    6. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2005. "The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 830-840, September.
    7. Forni, Mario & Lippi, Marco, 2001. "The Generalized Dynamic Factor Model: Representation Theory," Econometric Theory, Cambridge University Press, vol. 17(6), pages 1113-1141, December.
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