Perturbation Analysis for Investment Portfolios Under Partial Information with Expert Opinions
DOI10.1137/15M1006854zbMath1414.91337OpenAlexW3125584415MaRDI QIDQ5346507
Jean-Pierre Fouque, Andrew Papanicolaou, Ronnie Sircar
Publication date: 24 May 2017
Published in: SIAM Journal on Control and Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/15m1006854
controlHamilton-Jacobi-Bellman equationfilteringportfolio optimizationpartial informationexpert opinions
Filtering in stochastic control theory (93E11) Time-scale analysis and singular perturbations in control/observation systems (93C70) Dynamic programming (90C39) Portfolio theory (91G10) PDEs in connection with control and optimization (35Q93)
Related Items (13)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Continuous-time Markov chains and applications. A two-time-scale approach
- Fundamentals of stochastic filtering
- Optimal investment under partial information
- Comparison and robustification of Bayes and Black-Litterman models
- Continuous-time stochastic control and optimization with financial applications
- Volatility misspecification, option pricing and superreplication via coupling
- The asymptotic elasticity of utility functions and optimal investment in incomplete markets
- Optimizing the terminal wealth under partial information: the drift process as a continuous time Markov chain
- Hypoelliptic non-homogeneous diffusions
- Filtering and portfolio optimization with stochastic unobserved drift in asset returns
- Portfolio selection under incomplete information
- Hypoelliptic second order differential equations
- Dimension Reduction in Discrete Time Portfolio Optimization with Partial Information
- Multiscale Stochastic Volatility for Equity, Interest Rate, and Credit Derivatives
- OPTIMAL CONSUMPTION AND PORTFOLIO DECISIONS WITH PARTIALLY OBSERVED REAL PRICES
- Consumption and Portfolio Decisions when Expected Returns are Time Varying
- PARTIAL HEDGING IN A STOCHASTIC VOLATILITY ENVIRONMENT
- The Role of Learning in Dynamic Portfolio Decisions *
- The Relaxed Investor with Partial Information
- Optimal Investment
- Efficient nonlinear filtering of a singularly perturbed stochastic hybrid system
- Filtering the Maximum Likelihood for Multiscale Problems
- PORTFOLIO OPTIMIZATION AND STOCHASTIC VOLATILITY ASYMPTOTICS
- Time-Inconsistent Portfolio Investment Problems
- PORTFOLIO OPTIMIZATION UNDER PARTIAL INFORMATION WITH EXPERT OPINIONS
- Portfolio optimization with unobservable Markov-modulated drift process
This page was built for publication: Perturbation Analysis for Investment Portfolios Under Partial Information with Expert Opinions