Stock selection models often use analysts' expectations, momentum, and fundamental data. We found support for composite modeling using these sources of data for global stocks during 1997-2011. We found additional evidence to support the use of SunGard APT and Axioma multi-factor models for...

We show that internationally diversified portfolios carry sizeable political risk premia. We use a tail-risk portfolio selection model to obtain political efficient frontiers from skewed return distributions and manage political risk, and design an inference test to draw conclusions. We find...

This paper investigates the uncertainty about the trading costs associated with a given portfolio strategy. I derive accurate approximations of the ex ante probability distributions of proportional trading costs and portfolio turnover under the conventional assumption of normal asset returns....

This paper provides an exact and computable invariant currency value index (ICVI) which is independent of base currency choice. Thus, given a 1xed set of currencies, the index of a currency will have the same value, regardless of base currency choice. This currency index can be used as an...

This paper analyzes the performance of index-based portfolios across developed, emerging, and frontier markets. Besides considering stocks and bonds for portfolio construction, we investigate how investment opportunity sets are enlarged when credit default swaps (CDSs) are added into portfolios...

In this article, we advance the use of factor investing across multiple asset classes. It turns out that style factors well established in the equity domain – such as value, momentum or quality – do extend to other asset classes as well. Even more so, multi-asset multi-factors significantly...

Standard mean-variance analysis is based on the assumption of normal return distributions. However, a growing body of literature suggests that the market oscillates between two different regimes – one with low volatility and the other with high volatility. In such a case, even if the return...

A risk management strategy is proposed as being robust to the Global Financial Crisis (GFC) by selecting a Value-at-Risk (VaR) forecast that combines the forecasts of different VaR models. The robust forecast is based on the median of the point VaR forecasts of a set of conditional volatility...