Markov decision process algorithms for wealth allocation problems with defaultable bonds

Pérez López, Iker, Hodge, David and Le, Huiling (2016) Markov decision process algorithms for wealth allocation problems with defaultable bonds. Advances in Applied Probability, 48 (2). pp. 392-405. ISSN 1475-6064

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Abstract

This paper is concerned with analysing optimal wealth allocation techniques within a defaultable financial market similar to Bielecki and Jang (2007). It studies a portfolio optimization problem combining a continuous-time jump market and a defaultable security; and presents numerical solutions through the conversion into a Markov decision process and characterization of its value function as a unique fixed point to a contracting operator. This work analyses allocation strategies under several families of utilities functions, and highlights significant portfolio selection differences with previously reported results.

Item Type: Article
Additional Information: © Cambridge University Press 2016
Keywords: Portfolio Optimization; Defaultable Bonds; Markov Decision Processes
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Mathematical Sciences
Identification Number: https://doi.org/10.1017/apr.2016.6
Depositing User: Hodge, David
Date Deposited: 10 Dec 2015 09:06
Last Modified: 16 Oct 2017 17:02
URI: https://eprints.nottingham.ac.uk/id/eprint/31020

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