Research

Publications

Disagreement in the Equity Options Market and Stock Returns

with Benjamin Golez

Review of Financial Studies, 35 (3) (2022), 1443–1479

Illiquidity Premia in the Equity Options Market

with Peter Christoffersen, Kris Jacobs and Mehdi Karoui
Review of Financial Studies, 31 (3), 2018, 811–851 (Editor’s Choice, Lead article)

Treasury Bond Illiquidity and Global Equity Returns

with Sergei Sarkissian
Journal of Financial and Quantitative Analysis, (49) (2014), 1227-1253

Mutual Fund’s R2 as Predictor of Performance

with Yakov Amihud
Review of Financial Studies, 26 (3) (2013), 667-694

The Term Structure of Bond Market Liquidity and Its Implications for Expected Bond Returns

with Avanidhar Subrahmanyam and Andrey Ukhov
Journal of Financial and Quantitative Analysis, 46 (2011), 111-139

Stock and Bond Market Liquidity: A Long-Run Empirical Analysis

with Andrey Ukhov
Journal of Financial and Quantitative Analysis, 44 (2009), 189-212

Do Liquidity Measures Measure Liquidity?

with Craig Holden and Charles Trzcinka
Journal of Financial Economics, 92 (2009), 153-181

Winner of the Fama/DFA Prize for the best paper in the Journal of Financial Economics in the Areas of Capital Markets and Asset Pricing (second prize)

Media

How to Find a Fund Manager Who Can Beat the Market (Wall Street Journal)

January 11, 2013, featuring the paper: “Mutual Fund’s R2 as Predictor of Performance” with Yakov Amihud
Review of Financial Studies, 26 (3) (2013), 667-694

Non-academic Publications

How to Measure the Skills of Your Fund Manager

with Yakov Amihud
The American Association of Individual Investors, April, 2015

Working Papers

Can AI Read the Minds of Corporate Executives?

with  Nicolas Chapados (ServiceNow), Zhenzhen Fan(University of Manitoba), Issam  Laradji (ServiceNow), Fred Liu (University of Guelph), and Chengyu Zhang (McGill)

Multi-(Horizon) Factor Investing with AI

with  Chengyu Zhang (McGill)

Asset Pricing with Attention Guided Deep Learning

with Philippe Chatigny (University of Sherbrooke) and Chengyu Zhang (McGill)

The Joint Cross Section of Option and Stock Returns Predictability with Big Data and Machine Learning

with Chengyu Zhang (McGill)

Liquidity Guided Machine Learning: The Case of the Volatility Risk Premium

with Eric Ghysels (UNC) and Chengyu Zhang (McGill)

Volatility and the Cross-Section of Equity Returns: The Role of Short-Selling Constraint

with Paul Schultz (Notre Dame)

Demand Pressure and Option Returns

with Chengyu Zhang (McGill)

Do Option-Based Measures of Stock Mispricing Find Investment Opportunities or Market Frictions?

with Martijn Cremers (Notre Dame), Paul Schultz (Notre Dame) and Stephen Szaura (McGill)

Options Illiquidity: Determinants and Implications for Stock Returns

with Chay Ornthanalai (University of Toronto) and Shengzhe Tang (University of Toronto)

Stock and Bond Pricing with Liquidity Risk