What factors drive the Russian banks license withdrawal

Anatoly Peresetsky

MPRA Paper from University Library of Munich, Germany

Abstract: The binary and multinomial logit models are applied for prediction of the Russian banks defaults (license withdrawals) using data from bank balance sheets and macroeconomic indicators. Significantly different models correspond to the two main grounds for license withdrawal: financial insolvency and money laundering. Analysis of data for the period 2005.2–2008.4 for accurate prediction of a bank’s financial insolvency, which is the focus of interest for the Russian Deposit Insurance Agency, demonstrates that the multinomial model doesn’t outperform the binary model.

Keywords: Multinomial logit model; binary logit model; probability of default; Russian banks; money laundering; bank supervision (search for similar items in EconPapers)
JEL-codes: C50 G20 G21 G28 G33 (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:41507

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