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Predicting Financial Crisis in Developing Economies: Astronomy or Astrology?

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  • Ilene Grabel

    (Graduate School of International Studies, University of Denver)

Abstract

In the aftermath of the European currency crisis of 1992-3, the Mexican financial crisis of 1994-5 and the Asian financial crisis of 1997-8, neoclassical economists in the academy and policy community have been engaged in a project to develop predictors or indicators of currency, banking and generalized financial crises in developing economies. This paper critically examines the efforts of the economics profession in this regard on both empirical and theoretical grounds. The paper argues that these predictors perform poorly on empirical grounds--indeed, the predictors developed after each of these crises failed to predict the next major crisis. These predictors are also rejected on theoretical grounds. From a post-Keynesian perspective, there is no reason to expect that the mere provision of information will prevent crises by changing agents' behaviors. The paper will also propose several indicators that are consonant with post-Keynesian economic theory, although it will be argued that these indicators do not represent a sufficient means to prevent financial crisis. Ironically, as agents develop confidence in the predictive capacity of crisis indicators, they may engage in actions that increase the economy's vulnerability to crisis. Far more important to the project of preventing financial crisis in developing economies is the implementation of constraints on those investor behaviors that render liberalized, internationally integrated financial systems inherently prone to instability and crisis. Hence, intellectual capital would be more productively expended on devising appropriate changes in the overall regime in which investors operate (such as measures that compel changes in financing strategies) rather than in searching for new predictors of crisis.

Suggested Citation

  • Ilene Grabel, 2003. "Predicting Financial Crisis in Developing Economies: Astronomy or Astrology?," Eastern Economic Journal, Eastern Economic Association, vol. 29(2), pages 243-258, Spring.
  • Handle: RePEc:eej:eeconj:v:29:y:2003:i:2:p:243-258
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    File URL: http://web.holycross.edu/RePEc/eej/Archive/Volume29/V29N2P243_258.pdf
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    1. Anuradha Seth & Amr Ragab, 2012. "Macroeconomic Vulnerability in Developing Countries: Approaches and Issues," Working Papers 94, International Policy Centre for Inclusive Growth.
    2. Susan K. Schroeder, 2008. "The Underpinnings Of Country Risk Assessment," Journal of Economic Surveys, Wiley Blackwell, vol. 22(3), pages 498-535, July.
    3. Jo-Hui Chen & Chih-Sean Chen, 2012. "The study of contagious paces of financial crises," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(6), pages 1825-1846, October.
    4. Dylan Herman & Cody Googin & Xiaoyuan Liu & Alexey Galda & Ilya Safro & Yue Sun & Marco Pistoia & Yuri Alexeev, 2022. "A Survey of Quantum Computing for Finance," Papers 2201.02773, arXiv.org, revised Jun 2022.
    5. Luis F. Brunstein, 2008. "Policies to reduce instability," Revista de Economía del Caribe 7100, Universidad del Norte.

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    More about this item

    Keywords

    Financial Crisis;

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications

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