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Anticipating Arrears to the IMF Early Warning Systems

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  • Ms. Chikako Oka

Abstract

This paper attempts to predict the incidence of arrears to the International Monetary Fund (IMF) by modifying and applying two of the major early warning systems for currency crises: the "signals" approach proposed by Kaminsky, Lizondo, and Reinhart (1997) and the probit-based alternative developed by Berg and Pattillo (1998). The results, based on both in-sample and out-of-sample tests, appear encouraging. While the unique nature of IMF arrears poses some challenges, the models could be useful tools for identifying countries at high risk of incurring arrears to the IMF.

Suggested Citation

  • Ms. Chikako Oka, 2003. "Anticipating Arrears to the IMF Early Warning Systems," IMF Working Papers 2003/018, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2003/018
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    References listed on IDEAS

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    Cited by:

    1. Heun, Michael & Schlink, Torsten, 2004. "Early warning systems of financial crises: implementation of a currency crisis model for Uganda," Frankfurt School - Working Paper Series 59, Frankfurt School of Finance and Management.
    2. Yuichiro Ito & Tomiyuki Kitamura & Koji Nakamura & Takashi Nakazawa, 2014. "New Financial Activity Indexes: Early Warning System for Financial Imbalances in Japan," Bank of Japan Working Paper Series 14-E-7, Bank of Japan.
    3. Ana-Maria Fuertes & Elena Kalotychou, 2004. "Forecasting sovereign default using panel models: A comparative analysis," Computing in Economics and Finance 2004 228, Society for Computational Economics.
    4. Željka Asanović, 2017. "Predicting Systemic Banking Crises Using Early Warning Models: The Case of Montenegro," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 6(3), pages 157-182.
    5. Takatoshi Ito & Keisuke Orii, 2009. "Early Warning Systems of Currency Crises," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 5(1), pages 1-24, October.
    6. Mpho Bosupeng, 2018. "Leading Indicators and Financial Crisis: A Multi-Sectoral Approach Using Signal Extraction," Journal of Empirical Studies, Conscientia Beam, vol. 5(1), pages 20-44.
    7. Željka Asanović, 2013. "Early Warning Systems for Banking Crises in Montenegro: Combination of Signal Approach and Logit Model," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 20(3), pages 405-419, November.
    8. Fantazzini, Dean, 2008. "Credit Risk Management," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 12(4), pages 84-137.
    9. Martin Iseringhausen & Ms. Mwanza Nkusu & Wellian Wiranto, 2019. "Repeated Use of IMF-Supported Programs: Determinants and Forecasting," IMF Working Papers 2019/245, International Monetary Fund.
    10. Anne Oeking & Mariusz A. Sumlinski, 2016. "Arrears to the IMF – A Ghost of the Past?," IMF Working Papers 2016/225, International Monetary Fund.

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