 A portfolio optimisation model for credit risky bonds with Markov model credit rating dynamicsArti Singh and Selvamuthu Dharmaraja International Journal of Financial Markets and Derivatives, 2017, vol. 6, issue 2, 102-119 Abstract: In this paper, a credit risk optimisation model for the portfolio of credit risky bonds with l&#infin;-norm risk measure is proposed. The proposed model is formulated as a linear programming problem which makes it computationally efficient for the portfolio of large size. The rates of returns of the bonds are the input parameters of the proposed model and of the other portfolio optimisation models which are considered for the comparison with the former. The complete approach of generating rate of returns of the bonds, given their initial credit ratings and transition probability matrices, is presented. The time homogeneous discrete time Markov chain model is assumed for the credit rating dynamics of bonds. With extensive numerical illustrations, the proposed approach of obtaining rate of returns of the bonds is demonstrated. Furthermore, comparison of the proposed credit risk optimisation model with other inline existing portfolio optimisation models is performed. Keywords: credit risk; credit rating; discrete time Markov chain; DTMC; portfolio optimisation; l∞-norm; efficient frontier; mean absolute deviation; MAD. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijfmkd:v:6:y:2017:i:2:p:102-119 Access Statistics for this article More articles in International Journal of Financial Markets and Derivatives from Inderscience Enterprises Ltd |
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