Title
A Continuous-Time Hidden Markov Model For Mean-Variance Portfolio Optimization
Abstract
We study a mean-variance portfolio selection problem under a hidden Markov regime-switching Black-Scholes-Merton economy with parameter uncertainty. By exploiting the separation principle, we solve the mean-variance portfolio selection problem and the filtering/estimation problem separately. An explicit solution to the mean-variance problem is derived using the stochastic maximum principle. Robust filters of the chain and robust-based EM algorithm for unknown model parameters are developed.
Year
DOI
Venue
2009
10.1109/ISCAS.2009.5117974
ISCAS: 2009 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-5
Keywords
Field
DocType
switches,economics,separation principle,security,robustness,stochastic processes,finance,econometrics,hidden markov model,filtering,portfolio optimization,differential equations,em algorithm,hidden markov models
Mathematical optimization,Maximum principle,Separation principle,Markov model,Computer science,Expectation–maximization algorithm,Portfolio,Portfolio optimization,Hidden Markov model,Hidden semi-Markov model
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
2
Name
Order
Citations
PageRank
Robert J. Elliott133350.13
Tak Kuen Siu211420.25