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Liu Jipeng: Quantitative Trading Cannot Sacrifice the Fairness of 95% of Investors in Exchange for the Efficiency of 5% of Institutions
Special Topic: Strengthening the Defense Line for the Rights and Interests of Small and Medium Investors — Sina Finance 3.15 Investor Protection Forum
On March 13, Sina Finance held the 3.15 Investor Protection Forum. Liu Jipeng, Professor at the Business School of China University of Political Science and Law and a well-known expert in the capital market, delivered a keynote speech.
Liu Jipeng specifically emphasized the new challenges brought by quantitative trading. He believes this is not simply a matter of clear legal definitions but a fairness contest in a “blurred state.”
Liu Jipeng pointed out that quantitative firms leverage their advantages of “fast information” and “quick execution” to create “Type A” stock price movements—sharp rises and falls within days—causing retail investors following the trend to be repeatedly “harvested.”
“Quantitative trading pursues speed. Machines can be placed in the trading house servers; do retail investors have this capability? Do institutions have short-selling via margin or futures? Can retail investors do that?” Liu Jipeng’s questions are forceful.
He revealed that although regulatory authorities have taken measures to move quantitative firms’ servers out of trading house data centers, “real estate next to the exchanges is still appreciating,” because the physical proximity advantage still exists.
“Our market’s primary requirement is fairness and justice. We must not sacrifice the fairness of 95% of investors to gain efficiency for the remaining 5% of institutions.” He even proposed a bold idea: could we learn from the Indian market experience and give retail investors some “special treatment” in trading systems? For example, “T+0 for retail investors, T+1 for institutions,” to curb institutions from overharvesting through systemic advantages.
Sina Statement: This message is reproduced from Sina’s partner media. Sina.com publishes this article to disseminate more information and does not imply endorsement of its views or verification of its content. The article is for reference only and does not constitute investment advice. Investors operate at their own risk.
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Editor: Chang Fuqiang