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Bank ownership and cost efficiency: New empirical evidence from Russia

Mikhail Mamonov and Andrei Vernikov

Economic Systems, 2017, vol. 41, issue 2, 305-319

Abstract: This paper investigates the cost efficiency of Russian banks with regard to their heterogeneity in terms of ownership form, capitalization and asset structure. Using bank-level quarterly data over the period 2005–2013, we perform stochastic frontier analysis (SFA) and compute cost efficiency scores at the bank and bank group levels. We deduct from gross costs the negative revaluations of foreign currency items generated by official exchange rate dynamics rather than by managerial decisions. The results indicate that the core state banks, as distinct from other state-controlled banks, were nearly as efficient as private domestic banks during and after the crisis of 2008–2009. Foreign banks appear to be the least efficient market participants in terms of costs, which might reflect their lower (and decreasing over time) penetration of the Russian banking system. We further document that the group ranking by cost efficiency is not permanent over time and depends on the observed differences in bank capitalization and asset structure. We find that foreign banks gain cost efficiency when they lend more to the economy. Core state banks, conversely, lead in terms of cost efficiency when they lend less to the economy, which can result from political interference in their lending decisions in favor of unprofitable projects Private domestic banks that maintain a lower capitalization significantly outperform foreign banks and do not differ from the core state banks in this respect.

Keywords: Cost efficiency; Bank ownership; Capitalization; Asset structure; Stochastic frontier analysis; State-controlled banks; Russia (search for similar items in EconPapers)
JEL-codes: G21 P23 P34 P52 (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (16)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecosys:v:41:y:2017:i:2:p:305-319

DOI: 10.1016/j.ecosys.2016.08.001

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