The practical advice to the multi-period portfolio rebalancing problem with personal tax is to make adjustments over a long period of time. The reason for this non-quantitative advice is that there is no dynamic or analytic solution to the problem due to its' complexity. In this paper, we will...

In this analysis of the risk and return of stocks in global markets, we build a reasonably large number of stock selection models and create optimized portfolios to outperform a global benchmark. We apply robust regression techniques include variable selection method like LASSO and LAR...

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...

This study addresses stock selection modeling and portfolio construction and implementation in global and U.S. markets in the context of multi-objectives optimization framework. We will show how forecasted earnings acceleration factors can enhance returns in global and U.S. stock markets. We...

Comparing Japanese and U.S. securities markets, the paper shows that survivor bias affecting quantitative analysis is relatively minor in Japan and substantial in the U.S. The paper suggests that the constraint levels and estimation procedures that did best in both countries in the past will do...