Portfolio selection in the presence of systemic risk

In this article we study the portfolio selection problem in the presence of systemic risk. We propose reward-risk measures that account for systemic risk and provide a methodology to generate realistic return scenarios. The methodology involves first analyzing the empirical behavior of several MSCI country indexes, suggesting how to approximate future scenarios. Then we examine the profitability of several strategies based on the forecasted evolution of returns. In particular, we compare the optimal sample paths of future wealth obtained by performing reward-risk portfolio optimization on simulated data and we discuss the ex-post performance of the proposed portfolio strategies.