Quant funds in China are experiencing a surge in popularity, attracting significant investments. Ubiquant, a leading player, raised 2.6 billion yuan for a new fund within hours, while Shenzhen ChengQi Asset Management saw over 100 million yuan snapped up in seconds. The total assets under management for quant funds have more than doubled in less than a year, exceeding 2.6 trillion yuan, driven by their successful integration of artificial intelligence.
This shift marks a departure from traditional investing preferences in China, where star managers were favored over computer models. However, in 2025, the machines significantly outperformed human traders by more than 20 percentage points. As a result, investors are increasingly turning to quant funds and their innovative products, abandoning traditional stock pickers.
The rise of quant funds has led to a proliferation of new investing products, with over 6,000 new quant products launched in 2025, comprising 46% of all new hedge funds. Notably, more than 80% of the 3,000 new products introduced by top managers were developed by quant funds. This trend underscores the increasing mainstream acceptance of quant strategies in China's 8 trillion yuan hedge fund industry.
In response to past challenges and regulatory scrutiny, fund managers like Ningbo Lingjun Investment Management Partnership have implemented stricter risk controls and real-time monitoring of trading activities. Lingjun's adjustments resulted in a remarkable turnaround, with the firm leading the rankings among top quant funds with an average return exceeding 70% last year.
To stay competitive, traditional stock pickers are transitioning to AI-driven strategies. Shanghai Minority Asset Management, for instance, shifted from discretionary stock-picking to leveraging AI agents trained to identify cognitive biases. This evolution reflects a broader industry trend where firms are adapting to the era of machine-driven investing.
For global asset managers, embracing a quant strategy has become imperative in China's evolving market landscape. While a few firms such as Two Sigma and D. E. Shaw have successfully implemented systematic strategies, others are struggling to compete with less than 500 million yuan in assets. As the market becomes increasingly saturated with quant funds, generating excess returns is expected to become more challenging. This poses a significant hurdle for quant managers seeking to outperform benchmarks in a maturing capital market environment.
The evolving dynamics of China's financial markets underscore the growing importance of AI and quantitative strategies in the investment landscape. As quant funds continue to gain traction and competition intensifies, the quest for alpha becomes more daunting, signaling a paradigm shift towards machine-driven investing.