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Utility Maximization With Intermediate Consumption Under Restricted Information For Jump Market Models

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  • CLAUDIA CECI

    ()
    (Dipartimento di Economia, Universitá "G. d'Annunzio", V.le Pindaro 42, I-65127-Pescara, Italy)

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    Abstract

    The contribution of this paper is twofold: we study power utility maximization problems (with and without intermediate consumption) in a partially observed financial market with jumps and we solve by the innovation method the arising filtering problem. We consider a Markovian model where the risky asset dynamics St follows a pure jump process whose local characteristics are not observable by investors. More precisely, the stock price process dynamics depends on an unobservable stochastic factor Xt described by a jump-diffusion process. We assume that agents' decisions are based on the knowledge of an information flow, $\{{\mathcal G}_t\}_{t \in [0, T]}$, containing the asset price history, $\{\mathcal F}^S_t\}_{t \in [0, T]}$. Using projection on the filtration ${\mathcal G}_t$, the partially observable investment-consumption problem is reduced to a full observable stochastic control problem. The homogeneity of the power utility functions leads to a factorization of the associated value process into a part depending on the current wealth and the so called opportunity process Jt. In the case where ${\mathcal G}_t = {\mathcal F}^S_t$, Jt and the optimal investment-consumption strategy are represented in terms of solutions to a backward stochastic differential equation (BSDE) driven by the ${\mathcal F}^S$-compensated martingale random measure associated to St, which can be obtained by filtering techniques (Ceci, 2006; Ceci and Gerardi, 2006). Next, we extend the study to the case ${\mathcal G}_t = {\mathcal F}^S_t \vee {\mathcal F}^\eta_t$, where ηt gives observations of Xt in additional Gaussian noise. This setup can be viewed as an abstract form of "insider information". The opportunity process Jt is now characterized as a solution to a BSDE driven by the ${\mathcal G}_t$-compensated martingale random measure and the so called innovation process. Computation of these quantities leads to a filtering problem with mixed type observation and whose solution is discussed via the innovation approach.

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    Bibliographic Info

    Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal International Journal of Theoretical and Applied Finance.

    Volume (Year): 15 (2012)
    Issue (Month): 06 ()
    Pages: 1250040-1-1250040-34

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    Handle: RePEc:wsi:ijtafx:v:15:y:2012:i:06:p:1250040-1-1250040-34

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    Related research

    Keywords: Utility maximization; filtering; backward stochastic differential equations; jump processes;

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    Cited by:
    1. Claudia Ceci & Katia Colaneri & Alessandra Cretarola, 2013. "Local risk-minimization under restricted information to asset prices," Papers 1312.4385, arXiv.org.
    2. Ceci, Claudia & Cretarola, Alessandra & Russo, Francesco, 2014. "BSDEs under partial information and financial applications," Stochastic Processes and their Applications, Elsevier, vol. 124(8), pages 2628-2653.

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