A new approach to optimal capital allocation for RORAC maximization in banks
•We develop a new multi-period internal capital allocation model for banks.•The paper provides first empirical evidence of RORAC maximization under both regulatory and economic capital constraints.•The model incorporates risks arising from divisional level debt and information asymmetry.•We show tha...
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Published in | Journal of banking & finance Vol. 106; pp. 153 - 165 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.09.2019
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Subjects | |
Online Access | Get full text |
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Summary: | •We develop a new multi-period internal capital allocation model for banks.•The paper provides first empirical evidence of RORAC maximization under both regulatory and economic capital constraints.•The model incorporates risks arising from divisional level debt and information asymmetry.•We show that banks can improve their RORAC by using our internal capital allocation model.
We introduce a new model for optimal internal capital allocation, which would allow banks to maximize their Return on Risk-Adjusted Capital (RORAC) under regulatory and capital constraints. We extend the single period model of Buch et al. (2011) to a multi-period model and improve its forecasting accuracy by including the debt effect and Bayesian learning innovations. The empirical application shows that our model significantly improves the RORAC of a sample of banks listed in the S&P 500 index. |
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ISSN: | 0378-4266 1872-6372 |
DOI: | 10.1016/j.jbankfin.2019.06.006 |