Jason Hsu, Founder and CIO of Rayliant Global Advisors, recently made a bold claim that the t-statistic is useless and that there is more data available for emerging markets than for the United States when conducting statistical analysis. This view contrasts sharply with what is traditionally taught in business school curricula, and Hsu defends it during his conversation with Frank Fabozzi, CFA.
Hsu talks about his transition from working as a quasi-indexer to becoming an emerging markets active quant manager and the evolution of his investment strategy toward great complexity.
Key Talking Points
- Injecting global macro research into the quant investment process
- The impact of machine learning and AI on performance
- Advice for young professionals aspiring to build a career in the asset management industry