This paper introduces a new algorithm for exploiting time-series predictability-based patterns to obtain an abnormal return, or alpha, with respect to a given benchmark asset pricing model. The algorithm proposes a deterministic daily market timing strategy that decides between being fully...

We focus on the stock selection step of the index tracking problem in passive investment management and incorporate constant changes in the dynamics of markets into the decision. We propose an approach, using machine learning techniques, which analyzes the performance of the selection methods...

In this paper we examine unanticipated outliers of stock market. Weather these outliers are truly Black Swans that can not be anticipated or they are avoidable? Also we try to evolve a quantitative strategy to earn superior returns. The simple strategy not only removes outliers from portfolio...

We argue that active fund managers can pick stocks only when the market presents such opportunities. We propose measures of stock selection opportunity and show evidence that a significant portion of mutual funds time stock selection, i.e., trading more when stock selection opportunities are...

Extending price momentum tests to the longest available histories of global financial assets, including country equities, government bonds, currencies, commodities, sectors and U.S. stocks, we create a 215-year history of cross-sectional multi-asset momentum, and confirm the significance of the...

This paper analyses the relationship between dispositional optimism and stock investments. Data are drawn from the second wave of the Survey of Health, Ageing and Retirement in Europe. Dispositional optimism is found to be a relevant predictor of the ownership of stocks as well as of the share...