Risk-sensitive portfolio optimization on infinite time horizon
Authors:
Kazutaka Kuroda a;
Hideo Nagai b
| Affiliations: | a Daido Life Insurance Company, Actuarial Division 1-2-1, Edobori, Nishi-Ku, Osaka 550-0002, Japan. |
| b Department of Mathematical Science, Graduate School of Engineering Science, Osaka University, Toyonaka 560-8531, Japan. |
DOI:
10.1080/1045112021000025961
Publication Frequency:
6 issues per year
Published in:
Stochastics An International Journal of Probability and Stochastic Processes,
Volume
73,
Issue
3 &
4
2002
, pages 309
- 331
Subjects:
Mathematical Economics;
Mathematical Finance;
Mathematical Statistics;
Optimization;
Probability;
Probability Theory & Applications;
Stochastic Models & Processes;
Number of References: 16
Formats available:
PDF
(English)
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FREE ACCESS
Previously published as:
Stochastics
(0090-9491)
until 1998
Previously published as:
Stochastics and Stochastic Reports
(1045-1129,
1470-1243)
until 2005
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Abstract
We consider a continuous time portfolio optimization problems on an infinite time horizon for a factor model, recently treated by Bielecki and Pliska ["Risk-sensitive dynamic asset management", Appl. Math. Optim. , 39 (1990) 337-360], where the mean returns of individual securities or asset categories are explicitly affected by economic factors. The factors are assumed to be Gaussian processes. We see new features in constructing optimal strategies for risk-sensitive criteria of the portfolio optimization on an infinite time horizon, which are obtained from the solutions of matrix Riccati equations.
|
| Keywords: Portfolio Optimization; Risk-sensitive Control; Infinite Time Horizon; Riccati Equations; Bellman Equations; Factor Models |
| view references (16) : view citations |

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