Evolving Factor Strategies with Machine Learning

In this episode of Excess Returns, Jason Hsu returns for a wide-ranging conversation on China’s economy, the global AI race, emerging markets, factor investing, and what the next phase of globalization could mean for U.S. investors. We explore how China’s fiercely competitive domestic capitalism contrasts with common Western narratives, why AI could reshape professional services the way globalization reshaped manufacturing, and how investors should think about portfolio allocation in a shifting G2 world.

This discussion covers China manufacturing dominance, Chinese EV competition, U.S. vs. China AI strategy, emerging markets investing, factor investing in inefficient markets, and how machine learning is changing quantitative portfolio management.

Main topics covered

• Why U.S. investors misunderstand China’s economic system and the role of competition inside its domestic market

• How China became the world’s manufacturing powerhouse and what that means for tariffs and trade wars

• The Chinese government’s role as a venture-style capital allocator rather than a central planner

• The real estate reset in China and the shift toward technology, AI, and advanced manufacturing

• AI as the next wave of globalization and its impact on professional services and labor markets

• Whether the U.S. vs. China AI competition is truly winner-take-all

• Capital expenditure intensity in the U.S. vs. capital efficiency and open-source innovation in China

• U.S. exceptionalism, G2 geopolitics, and portfolio diversification beyond a U.S.-centric allocation

• Why emerging markets ex-China may differ from China tech exposure

• The case for separating China from emerging markets in asset allocation

• The concept of China as an alpha reservoir due to retail-driven market inefficiencies

• Why traditional value and factor strategies have struggled in the U.S. but still work in China

• How machine learning and AI are changing quantitative investing and factor construction

• The launch of CNQQ and accessing large-cap China technology exposure

Timestamps

00:00 China as the world’s factory and the role of fierce internal competition
01:02 Why U.S. investors misunderstand China’s economy
03:48 Is China capitalist despite the Communist Party label
05:33 The government as a VC-style investor rather than central planner
07:45 China EV competition and manufacturing dominance
09:23 Tariffs, trade leverage, and manufacturing monopoly dynamics
12:18 China’s bear market and valuation opportunity
13:59 The real estate reset and shift toward productive capital
16:00 AI as the next wave of globalization
18:01 Labor force participation and economic disruption from AI
19:46 Jobs that may survive in an AI-dominated world
22:00 Is U.S. vs. China AI a winner-take-all battle
24:13 Chip restrictions and long-term innovation incentives
26:54 Capital efficiency in China vs. heavy AI capex in the U.S.
29:27 Rebalancing away from U.S.-centric portfolios
31:18 The end of U.S. exceptionalism and the move toward a G2 world
34:00 How endowments approach U.S., developed, and emerging markets
36:35 CNQQ and accessing China large-cap technology
40:45 China as the great alpha reservoir
45:49 The future of factor investing in efficient vs. inefficient markets
49:06 Machine learning, factor decay, and next-generation quant strategies
55:17 Can AI replace active portfolio managers

If you enjoy deep conversations on global markets, AI investing, China technology, emerging markets, and quantitative strategies, make sure to subscribe to Excess Returns for more interviews with leading investors and thinkers.