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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/19077
Title: Determining hurdle rate and capital allocation in credit portfolio management
Authors: Miu, Peter
Ozdemir, Bogie
Cubukgil, Evren
Giesinger, Michael
Michael Lee-Chin & Family Institute for Strategic Business Studies
Department: None
Keywords: Credit portfolio management;RAROC;Economic capital;Capital allocation;Hurdle rate;Tail risk
Publication Date: Apr-2015
Series/Report no.: Michael Lee-Chin & Family Institute for Strategic Business Studies Working Paper ; 2015-11
Abstract: We examine two interrelated issues in risk-adjusted return on capital performance measurement: estimating hurdle rates and allocating capital to debt instruments in a portfolio. We consider a methodology to differentiate hurdle rates for individual debt instruments that incorporates obligor-specific information. These instrument-specific hurdle rates, which define the required compensation of the shareholders, enable a granular differentiation of systematic risk among debt contracts. Using the proposed approach, we show that the hurdle rate could be materially different among industry sectors and obligors of different credit quality. Profitability assessment could be significantly distorted if the difference in hurdle rates is ignored. Valuation Insight: Miu, Ozdemir, Cubukgil, and Giesinger consider the use by financial institutions of the risk-adjusted return on capital which is compared to the shareholders’ required rate of return to allow a financial institution to find out if an asset or a line of business is creating value for its shareholders. They find that using alternative instrument-specific risk-adjusted return measures is better and creates more value for shareholders.
Description: 52 p. ; Includes bibliographical references (pp. 35-37). ; "April 2015."
URI: http://hdl.handle.net/11375/19077
Appears in Collections:Michael Lee-Chin and Family Institute for Strategic Business Studies
Michael Lee-Chin & Family Institute for Strategic Business Studies Working Paper Series

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