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Early Warning Indicators of Banking Crisis in Asian Countries

Author

Listed:
  • Raja HMILI

    (ESC Rennes School of Business, France)

  • Taoufik BOURAOUI

    (ESC Rennes School of Business, France)

Abstract

>This paper aims to test the relevance of the advanced warning indicators in the prediction of systemic banking crises in 6 Asian emerging countries over the period 1973-2012. Based on multivariate panel logit model, our empirical results suggest that among 6 determinants of banking crises ranged into macroeconomic, financial and external variables, inflation demonstrates the most significant predictive power on systemic banking crises.

Suggested Citation

  • Raja HMILI & Taoufik BOURAOUI, 2015. "Early Warning Indicators of Banking Crisis in Asian Countries," Expert Journal of Finance, Sprint Investify, vol. 3(1), pages 1-8.
    • Handle: RePEc:exp:finnce:v:3:y:2015:i:1:p:1-8
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    Citations

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    Cited by:

    1. Matkovskyy, Roman & Bouraoui, Taoufik & Hammami, Helmi, 2016. "Analysing the financial strength of Tunisia: An approach to estimate an index of financial safety," Research in International Business and Finance, Elsevier, vol. 38(C), pages 485-493.
    2. Matkovskyy, Roman & Bouraoui, Taoufik & Hammami, Helmi, 2015. "Estimation and prediction of an Index of Financial Safety of Tunisia," MPRA Paper 74573, University Library of Munich, Germany, revised 2016.

    More about this item

    Keywords

    banking crises; early warning system; panel logit regression;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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