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Cliff Asness

The Arbitrageur · Finance wave

Wikipedia ↗

The harder something is to do, the more plausible it is that not enough people do it to make it go away.

Cliff Asness, Cliff Asness, AQR, 'The Less Efficient Market Hypothesis' & Hoover Institution interview (2024–2025); https://www.aqr.com/About-Us/News/2025/AQRs-The-Less-Efficient-Market-Hypothesis-Wins-Outstanding-Article-Recognition

Why Cliff is the canonical Arbitrageur

Cliff Asness's career is a straight line from academic finance into the machinery of systematic trading. Born in New York in 1966, he graduated summa cum laude from the University of Pennsylvania in 1988 with a double major in computer science and finance, then went to the University of Chicago for an MBA and a PhD in finance, completing his doctorate in 1994. At Chicago his dissertation adviser and mentor was the Nobel laureate Eugene Fama, and he served as teaching assistant to both Fama and Kenneth French — the two economists whose three-factor model reframed how markets are analyzed. Asness's own doctoral work compiled empirical evidence that both value and momentum could be systematically exploited across markets, one of the first bodies of research to bring these factors into the academic mainstream.

He then carried the theory into practice. In the early 1990s he left academia to run Goldman Sachs Asset Management's new quantitative research desk, where he and his team built computer-driven models to price currencies, bonds, and equities — the work that became the Global Alpha fund, one of the industry's earliest systematic quant vehicles. In 1998 he left to co-found AQR Capital Management, which grew into one of the world's largest quantitative investment firms, pioneering factor-based strategies — value, momentum, carry — as products ranging from hedge funds to low-fee mutual funds. His 2013 paper 'Value and Momentum Everywhere,' with Tobias Moskowitz and Lasse Pedersen, documented these premia across eight diverse markets and asset classes.

Asness embodies the Arbitrageur because his entire method is the disciplined, systematic exploitation of price inefficiencies that others cannot rationally capture. Factor investing is arbitrage formalized: identifying persistent statistical edges — cheap stocks that outperform, rising prices that keep rising — and harvesting them across markets and time. His public writing on why these inefficiencies persist, and why capturing them requires tolerating stretches of underperformance others cannot stomach, is a rigorous account of the arbitrageur's core discipline: analytical precision, comfort with edges that eventually erode, and the systems to act on them before they close.

The Arbitrageur optimizes price differentials and cost structures between markets. See the Arbitrageur role →

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