A new approach to optimal capital allocation for RORAC maximisation in banks

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dc.contributor.author Kang, Woo-Young
dc.contributor.author Poshakwale, Sunil S.
dc.date.accessioned 2019-06-25T09:18:40Z
dc.date.available 2019-06-25T09:18:40Z
dc.date.issued 2019-06-13
dc.identifier.citation Kang W-Y, Poshakwale S. (2019) A new approach to optimal capital allocation for RORAC maximisation in banks. Journal of Banking and Finance, Volume 106, September 2019, pp. 153-165 en_UK
dc.identifier.issn 0378-4266
dc.identifier.uri https://doi.org/10.1016/j.jbankfin.2019.06.006
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/14258
dc.description.abstract 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. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Regulatory risk en_UK
dc.subject Economic capital en_UK
dc.subject Optimal capital allocation en_UK
dc.subject Banks en_UK
dc.subject Euler principle en_UK
dc.title A new approach to optimal capital allocation for RORAC maximisation in banks en_UK
dc.type Article en_UK
dc.identifier.cris 23690640


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