assets only, the constrained one, and the presence of a risk-free asset. The use of a generalized form for the budget … - and infer the price of pure risk. Some properties of the several solutions are highlighted. The rationale for a linear …

We implement a long-horizon static and dynamic portfolio allocation involving a risk-free and a risky asset. This model …

benchmark for all decreasing absolute risk-averse investors, using Quadratic Programming. The method is applied to standard data … the performance of Mean-Variance optimization by tens to hundreds of basis points per annum, for low to medium risk levels …. The improvements critically depend on imposing the complex condition of Decreasing Absolute Risk Aversion in addition to …

In this paper, we focus on the portfolio optimization problem associated to a quasiconvex risk measure (satisfying some … additional assumptions). For coherent/convex risk measures, the portfolio optimization problem has been already studied by … characterize optimal solutions of the portfolio problem associated to quasiconvex risk measures. The shape of the efficient …

QP application. The advantage of Monte Carlo methods is that they may be extended to risk functions that are more … classical Gaussian limitations. The optimization of quadratic risk-return functions, VaR, CVaR, may be handled in a similar … risk preferences are optimized with differing multivariate distributions. Good comparisons with established results in Mean …

This study develops and implements a theory and method for analyzing whether introducing new securities or relaxing … investment constraints improves the investment opportunity set for risk averse investors. We develop a test procedure for …. The divergence between the results of the two tests illustrates the role for higher-order moment risk in portfolio choice …

overcome the risk of not receiving an optimal solution to the portfolio optimization (suboptimal outcomes of attribution of … empirical distribution or a theoretical distribution (mitigating estimation risk). All computational results are reported for … theory. Research implications/limitations - The research emphasized that in order to get a more diversified investment …

combination of a tracking goal and a downside risk protection through a discrete monitoring of the shortfalls. We provide the …