First Quarter (2017)

Volume 15, No. 1, 2017 David H. Bailey, Jonathan M. Borwein and Marcos López de Prado In mathematical finance, backtest overfitting connotes the usage of historical market data to develop an investment strategy, where too many variations of the strategy are tried, relative to the amount of data available. Backtest overfitting is now thought to… Read more

Volume 15, No. 1, 2017 Joshua Livnat, Gavin Smith and Martin Tarlie One of the most crucial decisions for investors and plan sponsors is the selection of funds among the thousands of available alternatives.We find that regardless of the initial criterion used to rank funds based on past performance, more diversified top funds outperform concentrated… Read more

Volume 15, No. 1, 2017 Sonya Cates, Stephen Lawrence, Carla Penedo and Viktoriia Samatova Many investment professionals consider academic research instrumental in improving the quality of the investment process. However, it is hard to extract investment insights from the vast and rapidly expanding research corpus, which requires a large amount of time and human effort… Read more

Volume 15, No. 1, 2017 Andrew W. Lo Breakthroughs in computing hardware, software, telecommunications, and data analytics have transformed the financial industry, enabling a host of new products and services such as automated trading algorithms, crypto-currencies, mobile banking, crowdfunding, and robo-advisors. However, the unintended consequences of technology-leveraged finance include firesales, flash crashes, botched initial public… Read more