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Chinese Hedge Funds Embrace AI, Challenging Western Dominance in Fund Management

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China’s hedge fund industry is undergoing a dramatic transformation as artificial intelligence (AI) takes center stage, driven by the success of High-Flyer, a prominent Chinese hedge fund that has integrated AI into its multi-billion-dollar portfolio. High-Flyer’s innovative approach to AI in trading, along with its DeepSeek AI startup, has sparked a race among mainland Chinese asset managers to adopt AI technologies, potentially disrupting the $10 trillion fund management market.

High-Flyer‘s success in leveraging AI to process market data and develop trading strategies has prompted other Chinese hedge funds, such as Baiont Quant, Wizard Quant, and Mingshi Investment Management, to enhance their own AI research. These funds are now accelerating their AI development efforts to stay competitive. According to Feng Ji, CEO of Baiont Quant, “We are in the eye of the storm” of an AI revolution, emphasizing that skepticism about AI-powered trading is quickly fading. “Two years ago, many fund managers mocked us AI-powered quants. Today, those who don’t embrace AI could be out of business.”

While these funds are largely focused on using AI for market analysis and generating trading signals based on investor risk profiles, the ambition is clear: to develop cutting-edge AI models like DeepSeek. This AI model, which stunned Silicon Valley with its low-cost capabilities, has significantly reduced barriers for Chinese funds to incorporate AI into their operations.

As more Chinese hedge funds look to replicate the success of U.S. systematic trading firms like Renaissance Technologies and D.E. Shaw, competition for “alpha” (outperformance) is intensifying. Wizard Quant, for example, recently announced plans to recruit top AI researchers to reshape the future of science and technology in trading. Meanwhile, Mingshi Investment is expanding its AI capabilities with its Genesis AI Lab and UBI Quant has been working on AI research for years.

The demand for highly skilled coding talent is escalating as these funds race to develop superior trading strategies using AI. In response, local authorities, like the government of Shenzhen, have pledged to invest in hedge fund computing needs, with plans to subsidize AI computing power to the tune of 4.5 billion yuan ($620.75 million).

On the mutual fund front, many Chinese retail fund companies are also jumping on the AI bandwagon. Firms such as China Merchants Fund, E Fund, and Dacheng Fund have successfully deployed DeepSeek, benefiting from its cost-effective AI solutions. According to Hu Yi, Vice General Manager at Zheshang Fund, DeepSeek has made AI accessible to the wider mutual fund industry, allowing funds to automate tasks like market signal monitoring and report generation. This frees up human resources for more strategic, creative roles.

In a broader context, DeepSeek‘s open-source, low-cost large language model has leveled the playing field for smaller Chinese fund managers, previously at a disadvantage compared to their larger U.S. counterparts. As Larry Cao, Principal Analyst at FinAI Research, explains, “Before DeepSeek, AI had mostly been reserved for top-tier players due to the high cost, talent, and technology requirements.”

Baiont’s Feng Ji highlights how AI has democratized access to expertise, enabling newer firms to challenge established players. “With AI, you can acquire 20 years of experience in just two months,” he said, noting that his own five-year-old fund, managing 6 billion yuan, has already surpassed many older rivals in terms of performance.

China to Cut Existing Mortgage Rates by End of October to Boost Property Market

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China’s central bank, the People’s Bank of China (PBOC), announced on Sunday that it would instruct commercial banks to lower mortgage rates on existing home loans by October 31. This move is part of broader policies aimed at supporting the country’s struggling property market amidst an economic slowdown.

The PBOC’s statement detailed that commercial banks should reduce existing mortgage rates in stages, with rates to be set at least 30 basis points below the Loan Prime Rate (LPR), China’s benchmark mortgage rate. On average, this adjustment is expected to lower rates by approximately 50 basis points.

Throughout 2023, China has introduced various policies, including lowering down-payment requirements and mortgage rates, in an attempt to revitalize its property sector. However, these measures have had limited success in boosting sales or improving liquidity in a market that remains cautious, contributing to a drag on broader economic growth.

Adding to these nationwide efforts, cities like Guangzhou announced the removal of all home purchase restrictions, while major urban centers such as Shanghai and Shenzhen revealed plans to relax housing rules for non-local buyers. In addition, the minimum down-payment ratio for first-time homebuyers in these cities will be reduced to 15%.

These policy adjustments come shortly after China launched its largest economic stimulus package since the COVID-19 pandemic, seeking to pull the economy out of a deflationary trend.

The need for urgent adjustments was highlighted earlier this month when new home prices fell at their fastest pace in over nine years, and property sales plunged by 18% during the first eight months of the year. By cutting mortgage rates, the central bank hopes to ease the financial burden on homeowners, stimulate the property market, and revive weak domestic consumption.

“As market-oriented reforms on interest rates deepen, and the relationship between supply and demand in the real estate market undergoes significant changes, the current mortgage rate pricing mechanism has exposed its shortcomings,” the PBOC said. “The public response has been strong, indicating that the mechanism requires urgent adjustments and optimization.”

China’s largest state-owned banks, including Industrial and Commercial Bank of China and China Construction Bank, have indicated their commitment to implementing these changes. The aim is to adjust mortgage interest rates in an orderly fashion, offering relief to homeowners.

While previous rate cuts primarily benefited new homebuyers, existing homeowners have continued to carry higher-rate loans. This has resulted in many households rushing to pay off their mortgages early, which in turn has constrained spending and consumption.

According to official data, the total value of individual mortgages in China stood at 37.79 billion yuan ($5.39 billion) as of June, marking a 2.1% decline year-on-year.

Additionally, the PBOC announced an extension of supportive measures for real estate developers, allowing access to loans and trust funds until the end of 2026 to help meet financing needs and stabilize the sector.