Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Introduction
00:00 • 2min
What Makes China Particularly Attractive for Quantitative Investing?
02:25 • 5min
What Are the Quant Factors of a Share Price?
07:47 • 5min
China Stock Market
12:30 • 5min
I Don't Have a Factor View of the World
17:10 • 3min
Compressing the Factor Space Improves or Hurts Predictability
19:56 • 4min
Why Is the Phama French Three Factor Alpha So Important?
24:10 • 4min
How to Predict Cross Sectional Equity Returns
28:13 • 5min
Walk Forward Optimization and Expected Returns
32:45 • 3min
How to Improve a Model in China?
35:51 • 3min
How Do You Think About Signal Classification?
38:57 • 3min
Current and Future Profitability
41:32 • 4min
Why Machine Learning Is a Hot Topic Among Quantists?
45:38 • 3min
Why Machine Learning Is a Hot Button Issue for Quants
48:23 • 4min
How to Explain Under Performance in a Machine Learning Environment
52:39 • 2min
Linearage, Grady Boosting and Randam Forest Aren't Blackbocks
54:38 • 5min
Stacking Approach to Multi-Factor Portfolios
59:33 • 4min
Stacking Is Better Than Mixing and Integrating Approachs
01:03:40 • 3min
How Do You Manage the Right Tail of the Market?
01:06:28 • 5min