Abstract
We deal with an optimal consumption-investment problem under restricted information in a financial market where the risky asset price follows a non-Markovian geometric jump-diffusion process. We assume that agents acting in the market have access only to the information flow generated by the stock price and that their individual preferences are modeled through a power utility. We solve the problem with a two steps procedure. First, by using filtering results we reduce the partial information problem to a full information one involving only observable processes. Next, by using dynamic programming, we characterize the value process and the optimal-consumption strategy in terms of solution to a backward stochastic differential equation.
Mathematics Subject Classification (2010). Primary 91B70, 93E20, 60G35; Secondary 91B16, 60G57, 60J60.
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References
N. Bäuerle and U. Rieder, Portfolio optimization with jumps and unobservable intensity process. Math. Finance, 17 (2) (2007), 205–224.
D. Becherer, Bounded solutions to backward SDE’s with jumps for utility optimization, indifference hedging. Ann. Appl. Probab., 16 (4) (2006), 2027–2054.
T. Bjork, Y. Kabanov, and W. Runggaldier, Bond market structure in presence of marked point processes. Math. Finance, 7 (2) (1997), 211–223.
P. Brémaud, Point Processes, Queues. Springer-Verlag, 1980.
C. Ceci, Risk minimizing hedging for a partially observed high frequency data model. Stochastics, 78 (1) (2006), 13–31.
C. Ceci, Utility maximization with intermediate consumption under restricted information for jumpma rket models. Int. J. Theor. Appl. Finance, 15 (6) (2012), 24–58.
C. Ceci and K. Colaneri, Nonlinear filtering for jumpdi ffusion observations. Adv. in Appl. Probab., 44 (3) (2012), 678–701.
J. Cvitanic and I. Karatzas, Convex duality in constrained portfolio optimization. Ann. Appl. Probab., 2 (1992), 767–818.
C. Doléans-Dade, Quelques applications de la formule de changement de variables pour le semi-martingales. Z. furW., 16 (1970), 181–194.
N. El Karoui, Les aspects probabilistes du contrôle stochastique. Lect. Notes Mathematics, 876 (1981), 74–239.
Y. Hu, P. Imkeller, and M. Muller, Utility maximization in incomplete markets. Ann. Appl. Probab., 15 (3) (2005), 1691–1712.
J. Jacod, Multivariate point processes: predictable projection, Radon–Nikodym derivatives, representation of martingales. Z. für W., 31 (1975), 235–253.
J. Jacod and A. Shiryaev, Limit Theorems for Stochastic Processes. Springer, 2003.
D. Kramkov and W. Schachermayer, The asymptotic elasticity of utility functions and optimal investment in incomplete markets. Ann. Appl. Probab., 9 (3) (1999), 904–950.
I. Karatzas and G. Žitković, Optimal consumption from investment and random endowment in incomplete semimartingale markets. Ann. Probab., 31 (4) (2003), 1821– 1858.
P. Lakner, Utility maximization with partial information. Stoch. Process. Appl., 56 (1995), 247–273.
T. Lim and M.C. Quenez, Exponential utility maximization in an incomplete market with defaults. Elec. J. Probab., 16 (2011), 1434–1464.
T. Lim and M.C. Quenez, Portfolio Optimization in a Default Model under Full/Partial Information, arXiv:1003.6002v1 [q-fin.PM], 2010.
R.S. Lipster and A.N. Shiryaev, Statistics of Random Processes I. Springer-Verlag, 1977.
R. Merton, Optimal consumption, portfolio rules in a continuous time model. J. Econ. Theory, 3 (1971), 373–413.
M. Nutz, The opportunity process for optimal consumption and investment with power utility. Math. Financ. Econ., 3 (2010), 139–159.
M. Nutz, The Bellman equation for power utility maximization with semimartingales. Ann. Appl. Probab., 2 (1) (2012), 363–406.
H. Pham and M.C. Quenez, Optimal portfolio in partially observed stochastic volatility models. Ann. Appl. Probab., 11 (1) (2001), 210–238.
J. Sass, Utility maximization with convex constraints and partial information. Acta Appl. Math., 97 (2007), 221–238.
T. Zariphopoulou, Consumption investment models with constraints. SIAMJ. Control Optim., 30 (1994), 59–84.
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Ceci, C. (2013). Optimal Investment-consumption for Partially Observed Jump-diffusions. In: Dalang, R., Dozzi, M., Russo, F. (eds) Seminar on Stochastic Analysis, Random Fields and Applications VII. Progress in Probability, vol 67. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-0545-2_17
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DOI: https://doi.org/10.1007/978-3-0348-0545-2_17
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