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Findings of the Signal Approach for Financial Monitoring in Kazakhstan

Author

Listed:
  • Klaus Abberger
  • Wolfgang Nierhaus
  • Shynar Shaikh

Abstract

This study concentrates on the signal approach for Kazakhstan. It focuses on the properties of individual indicators prior to observed currency crises. The indicators are used to build composite indicators. An advanced approach uses principal components analysis for the construction of composite indicators. Furthermore, the common signal approach is improved by robust statistical methods. The estimation period reaches from 1997 to 2007. It is shown that most of the composite indicators are able to flag the reported crises at an early stage. In a second step it is checked whether the most recent crisis in 2009 is signalled in advance.

Suggested Citation

  • Klaus Abberger & Wolfgang Nierhaus & Shynar Shaikh, 2009. "Findings of the Signal Approach for Financial Monitoring in Kazakhstan," CESifo Working Paper Series 2774, CESifo.
  • Handle: RePEc:ces:ceswps:_2774
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    File URL: https://www.cesifo.org/DocDL/cesifo1_wp2774.pdf
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    References listed on IDEAS

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    1. Andrew Berg & Catherine Pattillo, 1999. "Are Currency Crises Predictable? A Test," IMF Staff Papers, Palgrave Macmillan, vol. 46(2), pages 1-1.
    2. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    3. Frankel, Jeffrey A. & Rose, Andrew K., 1996. "Currency crashes in emerging markets: An empirical treatment," Journal of International Economics, Elsevier, vol. 41(3-4), pages 351-366, November.
    4. Knedlik, Tobias & Scheufele, Rolf, 2007. "Three methods of forecasting currency crises: Which made the run in signaling the South African currency crisis of June 2006?," IWH Discussion Papers 17/2007, Halle Institute for Economic Research (IWH).
    5. Mr. Abdul d Abiad, 2003. "Early Warning Systems: A Survey and a Regime-Switching Approach," IMF Working Papers 2003/032, International Monetary Fund.
    6. Graciela L. Kaminsky, 1998. "Currency and banking crises: the early warnings of distress," International Finance Discussion Papers 629, Board of Governors of the Federal Reserve System (U.S.).
    7. Kar‐yiu Wong & Richard Y. K. Ho, 2002. "The Asian Crisis, 1997," Review of International Economics, Wiley Blackwell, vol. 10(1), pages 1-1, February.
    8. Schnatz, Bernd, 1998. "Macroeconomic determinants of currency turbulences in emerging markets," Discussion Paper Series 1: Economic Studies 1998,03e, Deutsche Bundesbank.
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    Cited by:

    1. Klaus Abberger & Biswa Nath Bhattacharyay & Chang Woon Nam & Gernot Nerb & Siegfried Schönherr, 2014. "How Can the Crisis Vulnerability of Emerging Economies Be Reduced?," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65, October.
    2. Solntsev, O. & Mamonov, M. & Pestova, A. & Magomedova, Z., 2011. "Experience in Developing Early Warning System for Financial Crises and the Forecast of Russian Banking Sector Dynamic in 2012," Journal of the New Economic Association, New Economic Association, issue 12, pages 41-76.
    3. Klaus Abberger, 2010. "What is national bankruptcy?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(07), pages 37-40, April.
    4. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72, October.

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    More about this item

    Keywords

    currency crises; leading economic indicators; signal approach; Kazakhstan;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E59 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Other

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