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Constructing a financial fragility index for emerging countries

Author

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  • Sensoy, Ahmet
  • Ozturk, Kevser
  • Hacihasanoglu, Erk

Abstract

This article proposes a novel framework to construct a financial fragility index (FIX) of an emerging country from five main variables by combining the methods of principal component analysis and dynamic conditional correlations. The main contribution of the FIX is the time-varying weighting scheme of the variables and it is demonstrated for a leading emerging market, Turkey. A comparison with the classic principal component approach on forecasting economic activity-expectations and a policy making application are presented.

Suggested Citation

  • Sensoy, Ahmet & Ozturk, Kevser & Hacihasanoglu, Erk, 2014. "Constructing a financial fragility index for emerging countries," Finance Research Letters, Elsevier, vol. 11(4), pages 410-419.
  • Handle: RePEc:eee:finlet:v:11:y:2014:i:4:p:410-419
    DOI: 10.1016/j.frl.2014.07.007
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    References listed on IDEAS

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    1. Noureldin, Diaa & Shephard, Neil & Sheppard, Kevin, 2014. "Multivariate rotated ARCH models," Journal of Econometrics, Elsevier, vol. 179(1), pages 16-30.
    2. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    3. Gian Piero Aielli, 2013. "Dynamic Conditional Correlation: On Properties and Estimation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 282-299, July.
    4. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2004. "The MIDAS Touch: Mixed Data Sampling Regression Models," University of California at Los Angeles, Anderson Graduate School of Management qt9mf223rs, Anderson Graduate School of Management, UCLA.
    5. Craig S. Hakkio & William R. Keeton, 2009. "Financial stress: what is it, how can it be measured, and why does it matter?," Economic Review, Federal Reserve Bank of Kansas City, issue Q II, pages 5-50.
    6. repec:hrv:faseco:34650305 is not listed on IDEAS
    7. Kliesen, Kevin L. & Owyang, Michael T. & Vermann, E. Katarina, 2012. "Disentangling diverse measures: a survey of financial stress indexes," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 369-398.
    8. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
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    Cited by:

    1. Keffala, Mohamed Rochdi, 2015. "How using derivatives affects bank stability in emerging countries? Evidence from the recent financial crisis," Research in International Business and Finance, Elsevier, vol. 35(C), pages 75-87.
    2. Wang, Zihe & Li, Johnny Siu-Hang, 2016. "A DCC-GARCH multi-population mortality model and its applications to pricing catastrophic mortality bonds," Finance Research Letters, Elsevier, vol. 16(C), pages 103-111.
    3. Kutan, Ali M. & Murado─člu, Yaz G., 2016. "Financial and real sector returns, IMF-related news, and the Asian crisis," Finance Research Letters, Elsevier, vol. 16(C), pages 28-37.

    More about this item

    Keywords

    Financial fragility; Emerging markets; Dynamic conditional correlation; Principal component analysis; MIDAS regression;

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G01 - Financial Economics - - General - - - Financial Crises

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