This paper compares two approximation schemes for calculating the optimal portfolios in the discrete-time dynamic investment model, specifically, the mean-variance (MV) and the quadratic approximations, to the exact power function method. Future returns are estimated via the empirical...

This paper shows how to perform sensitivity analysis for Mean-Variance (MV) portfolio problems using a general form of parametric quadratic programming. The analysis allows an investor to examine how parametric changes in either the means or the right-hand side of the constraints affect the...

This paper employs numerical means to examine: (i) the expected return-beta plot in power utility Linear Risk Tolerance (LRT) economies, and (ii) whether, in the power utility economies, a valuation equation containing covariance and coskewness terms might better explain expected returns than...