Estimation errors in the inputs are the main problem when applying portfolio analysis, and Markov regime switching models have been shown to reduce these errors. We investigate whether the use of two regime models remains superior across a range of values of risk aversion and transaction costs,...

Motivated by the seasonality found in equity returns, we create a Turn-of-the-Month (ToM) allocation strategy in the U.S. equity market and investigate its value in asset allocation. By using a wide variety of portfolio construction techniques in an attempt to address the impact of estimation...

This paper uses a novel numerical optimization technique – robust optimization – that is well suited to solving the asset-liability management (ALM) problem for pension schemes. It requires the estimation of fewer stochastic parameters, reduces estimation risk and adopts a prudent approach...