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The use of accounting and stock market data to predict bank financial distress: the case of East Asian banks

Author

Listed:
  • Isabelle Distinguin

    (LAPE - Laboratoire d'Analyse et de Prospective Economique - GIO - Gouvernance des Institutions et des Organisations - UNILIM - Université de Limoges)

  • Amine Tarazi

    (LAPE - Laboratoire d'Analyse et de Prospective Economique - GIO - Gouvernance des Institutions et des Organisations - UNILIM - Université de Limoges)

  • Jocelyn Trinidad

    (UP System - University of the Philippines)

Abstract

This paper investigates whether market information could add to accounting information in the prediction of bank financial distress in Asia. A stepwise logit model is first estimated to isolate the optimal set of accounting indicators and then extended to include market indicators. Dummy variables are also introduced in the model to account for the possible existence of balance sheet structure effects. Our results show that market indicators bring in additional information in the prediction process and this contribution holds whatever the importance of the ratio of market funded liabilities over total assets. We also find that market indicators are significant to predict banks' financial distress whatever assets structure. However, for non traditional banks, that is for banks with a low ratio of net loans to total assets, market information seems difficult to interpret.

Suggested Citation

  • Isabelle Distinguin & Amine Tarazi & Jocelyn Trinidad, 2011. "The use of accounting and stock market data to predict bank financial distress: the case of East Asian banks," Post-Print hal-01207203, HAL.
    • Handle: RePEc:hal:journl:hal-01207203
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    Cited by:

    1. Yi-Shu Wang & Xue Jiang & Zhen-Jia-Liu, 2016. "Bank Failure Prediction Models for the Developing and Developed Countries: Identifying the Economic Value Added for Predicting Failure," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(9), pages 522-533, September.

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