Mean Variance and Goal Achieving Portfolio for Discrete-Time Market With Currently Observable Source of Correlations
19 Pages Posted: 8 May 2007 Last revised: 9 Mar 2009
Date Written: May 6, 2007
Abstract
The paper studies multi-period discrete time market models with serial correlations. We found the optimal strategy in mean-variance and goal achieving setting for the case when there are serial correlations and when the parameter process that causes correlations is currently observable.
Keywords: discrete time market, multi-period market, serial correlation, optimal portfolio, mean variance portfolio, goal achieving
JEL Classification: C44, D81, D84, G11
Suggested Citation: Suggested Citation
Do you have negative results from your research you’d like to share?
Recommended Papers
-
Incomplete Information Equilibria: Separation Theorems and Other Myths
-
Incomplete Information Equilibria: Separation Theorems and Other Myths
-
Production and the Real Rate of Interest: A Sample Path Equilibrium
-
Simple Construction of the Efficient Frontier
By David Feldman and Haim Reisman
-
Simple Construction of the Efficient Frontier
By David Feldman and Haim Reisman
-
Is Learning a Dimension of Risk?
By Massimo Massa and Andrei Simonov
-
The Effect of Information Quality on Optimal Portfolio Choice
-
Belief-Dependent Utilities, Aversion to State-Uncertainty and Asset Prices
-
Belief-Dependent Utilities, Aversion to State-Uncertainty and Asset Prices