Optimal Strategies for Ergodic Control Problems Arising from Portfolio Optimization

  • Hideo Nagai
Conference paper
First Online:
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 280)

Abstract

We consider constructing optimal strategies for risk-sensitive portfolio optimization problems on an infinite time horizon for general factor models, where the mean returns and the volatilities of individual securities or asset categories are explicitly affected by economic factors. The factors are assumed to be general diffusion processes. In studying the ergodic type Bellman equations of the risk-sensitive portfolio optimization problems we introduce some auxiliary classical stochastic control problems with the same Bellman equations as the original ones. We show that the optimal diffusion processes of the problem are ergodic and that under some condition related to integrability by the invariant measures of the diffusion processes we can construct optimal strategies for the original problems by using the solution of the Bellman equations.

Keywords

Time Horizon Optimal Strategy Invariant Measure Portfolio Optimization Investment Strategy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Hideo Nagai
    • 1
  1. 1.Department of Mathematical Science, Graduate School of Engineering ScienceOsaka UniversityToyonakaJapan

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