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

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.

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Source https://unilim.hal.science/hal-00785449
Author Distinguin, Isabelle, Tarazi, Amine, Trinidad, Jocelyn
Maintainer CCSD
Last Updated May 7, 2026, 19:43 (UTC)
Created May 7, 2026, 19:43 (UTC)
Identifier hal-00785449
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d'Analyse et de Prospective Economique (LAPE) ; Gouvernance des Institutions et des Organisations (GIO) ; Université de Limoges (UNILIM)-Université de Limoges (UNILIM)
creator Distinguin, Isabelle
date 2008-05-07T00:00:00
harvest_object_id 1ea12a39-6937-4ede-b90b-54ddf083e9fb
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-08-12T00:00:00
set_spec type:UNDEFINED