Cliff Asness returns to Excess Returns for a greatest hits tour through some of his most important and entertaining investing ideas.
We discuss bubble logic, today’s AI market comparisons, why volatility still matters as a risk measure, private equity “volatility laundering,” international diversification, market timing myths, pulling the goalie, and how machine learning is changing quantitative investing.
Main topics covered:
How the dot-com bubble created its own internal logic
Why Dow 36,000 and Cisco message boards captured bubble thinking
What investors learned, and failed to learn, from the tech bubble
How today’s AI market compares with the dot-com era
Why long periods of underperformance make even good strategies hard to stick with
Why Cliff still defends volatility as a useful risk measure
Why “cash on the sidelines” is a misleading market narrative
How private equity smoothing can make risk look lower than it really is
Why the private markets debate is not a short-term prediction
Why the “missing the best 10 days” argument against market timing is incomplete
Why international diversification can still matter after decades of US outperformance
What pulling the goalie can teach investors about risk, incentives and career risk
How machine learning changes quant investing without eliminating economic intuition
Timestamps:
00:00 Why certainty is dangerous in investing
04:58 Why Bubble Logic never became a book
10:18 Cisco, Yahoo message boards and bubble psychology
14:16 Rubble Logic and the lessons investors failed to learn
18:04 What today’s AI market has in common with the dot-com bubble
22:23 Why the long run can lie to investors
26:02 Volatility, permanent loss of capital and real risk control
30:19 Why there is no cash on the sidelines
34:00 Private equity, smoothing and volatility laundering
39:47 Why Cliff did not call the private markets downturn
43:19 The flaw in the missing the best 10 days argument
49:00 Why international diversification still works eventually
53:35 Why crashes are global but lost decades are local
57:30 Pulling the goalie and asymmetric risk
01:01:00 Why coaches and investors avoid optimal decisions
01:07:36 Machine learning, overfitting and economic intuition
01:10:50 Leverage, short selling and derivatives in quant portfolios
01:16:26 Where to follow Cliff Asness
