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SSRN Electronic Journal
Article . 2020 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2020
Data sources: EconStor
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Political Cycles and Bank Lending in Russia

Authors: Fungáčová, Zuzana; Schoors, Koen; Solanko, Laura; Weill, Laurent;

Political Cycles and Bank Lending in Russia

Abstract

State-owned banks tend to increase lending before elections for the purpose of boosting the re-election odds of incumbent politicians. We employ monthly data on individual banks to study whether Russian banks increased their lending before presidential elections during 2004-2019, a period covering four presidential elections. In contrast to the literature, we find that both state-owned and private banks increased their lending before presidential elections. This result stands for all loans, as well as separately for firm and household loans. The pre-election lending surge is followed by a deterioration of loan quality the following year, indicating the lending increase was not driven by higher growth prospects or some positive economic shock. The effect is substantially greater for large banks and banks more involved in lending activities. Our main finding that all types of banks in Russia increase their lending before presidential elections supports the view that the authorities in an electoral autocracy like Russia can influence lending of both private and state-owned banks for political reasons.

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Keywords

lending, ddc:330, bank, G21, politics, P34, Russia

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
bronze