Modeling the Default Probabilities of Russian Banks: Extended Abillities

Alexandr Karminsky and Alexander Kostrov

Journal of the New Economic Association, 2013, vol. 17, issue 1, 64-86

Abstract: Using binary choice logistic regression with quasi panel data (1998-2011) to develop a probability of default model for Russian banks we have found that: 1) there is a quadratic interaction between bank's capital adequacy ratio and its default probability; 2) there is a negative relationship between the bank's monopoly power and its PD; 3) macroeconomic, institutional and time factors significantly improve the model quality. We believe that these results will be useful for national financial regulatory authorities as well as for commercial banks in risk management.

Keywords: probability of default (PD); banks; Russia; risk-management; internal ratings; IRB approach; Basel II (search for similar items in EconPapers)
JEL-codes: G21 G24 G32 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.econorus.org/repec/journl/2013-17-64-86r.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nea:journl:y:2013:i:17:p:64-86

Access Statistics for this article

Journal of the New Economic Association is currently edited by Victor Polterovich and Aleksandr Rubinshtein

More articles in Journal of the New Economic Association from New Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Alexey Tcharykov ().