Identifying SIFI Determinants for Global Banks and Insurance Companies: Implications for D-SIFIs in Russia

Maiya Anokhina, Henry Penikas and Victor Petrov
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Maiya Anokhina: National Research University Higher School of Economics, Moscow
Victor Petrov: National Research University Higher School of Economics, Moscow

No 85, DEM Working Papers Series from University of Pavia, Department of Economics and Management

Abstract: The increased role of financial institutions in the economy leads to a need to determine those that are systemically important. The bankruptcy of such institutions creates negative effects for the economy on the global scale. The aim of this article is to identify important financial coefficients that can be used in the methodology of identification of G-SIB and G-SII. Models of binary choice and models of ordered choice are used in this article, several models are highly predictive. Besides this paper has revealed several financial coefficients, that helped to find the probabilities of G-SIF for Russian banks and insurance companies.

Keywords: Systemic importance; Basel committee, probability of default, financial coefficients; models of ordered choice, models of binary choice, global systemically important banks (G-SIB), insurance company. (search for similar items in EconPapers)
JEL-codes: C70 E58 G21 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2014-09
New Economics Papers: this item is included in nep-ban, nep-cis, nep-dcm, nep-ger, nep-ias, nep-mac, nep-rmg and nep-tra
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