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SSRN Electronic Journal
Article . 2010 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2010
Data sources: EconStor
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Risk-Return Efficiency, Financial Distress Risk, and Bank Financial Strength Ratings

Authors: Hua, Changchun; Liu, Li-Gang;

Risk-Return Efficiency, Financial Distress Risk, and Bank Financial Strength Ratings

Abstract

This paper investigates whether there is any consistency between banks’ financial strength ratings (bank rating) and their risk-return profiles. It is expected that banks with high ratings tend to earn high expected returns for the risks they assume and thereby have a low probability of experiencing financial distress. Bank ratings, a measure of a bank’s intrinsic safety and soundness, should therefore be able to capture the bank’s ability to manage financial distress while achieving risk-return efficiency. We first estimate the expected returns, risks, and financial distress risk proxy (the inverse z-score), then apply the stochastic frontier analysis (SFA) to obtain the risk-return efficiency score for each bank, and finally conduct ordered logit regressions of bank ratings on estimated risks, risk-return efficiency, and the inverse z-score by controlling for other variables related to each bank’s operating environment. We find that banks with a higher efficiency score on average tend to obtain favorable ratings. It appears that rating agencies generally encourage banks to trade expected returns for reduced risks, suggesting that these ratings are generally consistent with banks’ risk-return profiles.

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Keywords

G28, ddc:330, G24, Welt, Banking, financial strength ratings, risk-return profiles, stochastic frontier analysis, Rentabilität, Bankrisiko, bank ratings; risk-return efficiency; stochastic frontier analysis, Bewertung, D24, G21, G32, Bankgeschäft, D21, Wirtschaftliche Effizienz, jel: jel:D21, jel: jel:G24, jel: jel:D24, jel: jel:G21, jel: jel:G32, jel: jel:G28

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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!
1
Average
Average
Average
bronze