The Relaxed Investor with Partial Information
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Nicole Bäuerle | Sebastian P. Urban | Luitgard A. M. Veraart | L. Veraart | N. Bäuerle | Sebastian P. Urban
[1] Peter Lakner,et al. Utility maximization with partial information , 1995 .
[2] B. Fristedt,et al. Filtering and Prediction: A Primer , 2007 .
[3] U. Rieder,et al. Markov Decision Processes with Applications to Finance , 2011 .
[4] Jakša Cvitanić,et al. Convex Duality in Constrained Portfolio Optimization , 1992 .
[5] Vikram Krishnamurthy,et al. Time discretization of continuous-time filters and smoothers for HMM parameter estimation , 1996, IEEE Trans. Inf. Theory.
[6] Gady Zohar,et al. A Generalized Cameron–Martin Formula with Applications to Partially Observed Dynamic Portfolio Optimization , 2001 .
[7] D. Rosen. Moments for the inverted Wishart distribution , 1988 .
[8] Rosen D Von. On moments of the inverted Wishart distribution , 1997 .
[9] Wolfgang J. Runggaldier,et al. Risk-minimizing hedging strategies under restricted information: The case of stochastic volatility models observable only at discrete random times , 1999, Math. Methods Oper. Res..
[10] Toshiki Honda,et al. Optimal portfolio choice for unobservable and regime-switching mean returns , 2003 .
[11] S. Brendle. On a Problem of Optimal Stochastic Control with Incomplete Information , 2008 .
[12] P. Lakner. Optimal trading strategy for an investor: the case of partial information , 1998 .
[13] Jean-Luc Prigent. Weak Convergence of Financial Markets , 2003 .
[14] Ulrich G. Haussmann,et al. Optimizing the terminal wealth under partial information: The drift process as a continuous time Markov chain , 2004, Finance Stochastics.
[15] Tomas Björk,et al. Optimal investment under partial information , 2010, Math. Methods Oper. Res..
[16] Simon Brendle,et al. Portfolio selection under incomplete information , 2006 .
[17] U. Rieder,et al. Portfolio optimization with unobservable Markov-modulated drift process , 2005, Journal of Applied Probability.
[18] H. Pham,et al. Optimal Portfolio in Partially Observed Stochastic Volatility Models , 2001 .
[19] L. C. G. Rogers,et al. The relaxed investor and parameter uncertainty , 2001, Finance Stochastics.
[20] Philip Protter,et al. FROM DISCRETE- TO CONTINUOUS-TIME FINANCE: WEAK CONVERGENCE OF THE FINANCIAL GAIN PROCESS' , 1992 .
[21] Bert Fristedt,et al. Filtering and prediction , 2007 .
[22] Xudong Zeng,et al. Optimal terminal wealth under partial information: Both the drift and the volatility driven by a discrete time Markov chain , 2008, CDC.
[23] Hua He,et al. Optimal consumption-portfolio policies: A convergence from discrete to continuous time models☆ , 1991 .
[24] D. Crisan,et al. Fundamentals of Stochastic Filtering , 2008 .
[25] Axel Gandy,et al. THE EFFECT OF ESTIMATION IN HIGH‐DIMENSIONAL PORTFOLIOS , 2013 .
[26] I. Karatzas,et al. Option Pricing, Interest Rates and Risk Management: Bayesian Adaptive Portfolio Optimization , 2001 .
[27] Huyên Pham,et al. Approximation by quantization of the filter process and applications to optimal stopping problems under partial observation , 2005, Monte Carlo Methods Appl..
[28] M. Degroot. Optimal Statistical Decisions , 1970 .
[29] U. Rieder,et al. PORTFOLIO OPTIMIZATION WITH JUMPS AND UNOBSERVABLE INTENSITY PROCESS , 2007 .
[30] H. Pham,et al. Numerical Approximation by Quantization of Control Problems in Finance Under Partial Observations , 2009 .