Robust stochastic control and equivalent martingale measures
Abstract
We study a class of robust, or worst case scenario, optimal control problems for jump diffusions. The scenario is represented by a probability measure equivalent to the initial probability law. We show that if there exists a control that annihilates the noise coefficients in the state equation and a scenario which is an equivalent martingale measure for a specific process which is related to the control-derivative of the state process, then this control and this probability measure are optimal. We apply the result to the problem of consumption and portfolio optimization under model uncertainty in a financial market, where the price process S(t) of the risky asset is modeled as a geometric Itô-Lévy process. In this case the optimal scenario is an equivalent local martingale measure of S(t). We solve this problem explicitly in the case of logarithmic utility functions.Download Info
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Paper provided by HAL in its series Working Papers with number inria-00573117.Length:
Date of creation: 03 Mar 2011
Date of revision:
Handle: RePEc:hal:wpaper:inria-00573117
Note: View the original document on HAL open archive server: http://hal.inria.fr/inria-00573117/en/
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Web page: http://hal.archives-ouvertes.fr/
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Keywords: robust control; model uncertainty; worst case scenario; portfolio optimization; Lévy Market;References
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