Research
Research Papers:
Too Good to Be True: Look-ahead Bias in Empirical Options Research
with Jefferson Duarte, Christopher S. Jones, Mehdi Khorram, Haitao Mo
R&R at Review of Financial Studies (2024)
Chicago Conference in Derivatives and Volatility (2023), SFS Cavalcade (2024, scheduled), WFA (2024, Scheduled)
From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses [SSRN]
with Sean Cao, Wei Jiang and Baozhong Yang
Accepted at the Journal of Financial Economics (2023)
Best Paper Awards for Annual Conference on Digital Economics, Global AI, Cavalcade Asian-Pacific, MFA, and CFRC conferences (2022)
Very Noisy Option Prices and Inference Regarding the Volatility Risk Premium [SSRN]
with Jefferson Duarte and Christopher Jones
Forthcoming at the Journal of Finance (2023)
Best Paper Award for Chicago Conference in Derivatives and Volatility (2019)
Factor Model Comparisons with Conditioning Information [SSRN]
with Wayne Ferson and Andrew Siegel
Journal of Financial and Quantitative Analysis (2024)
Imputing Borrower Heterogeneity and Dynamics in Mortgage Default Models
with Timothy Dombrowski and Kelley Pace
Journal of Real Estate Finance and Economics (2022)
Semifinalist for Best Paper in Markets & Institutions in FMA (2017)
A Panel Regression Approach to Holdings-Based Fund Performance Measures [SSRN]
with Wayne Ferson
(Lead Article, Editor's Choice) Review of Asset Pricing Studies (2021)
Empirical Tests of Asset Pricing Models with Individual Assets: Resolving the Errors-in-Variables Bias in Risk Premium Estimation [SSRN]
with Narasimhan Jegadeesh, Joonki Noh, Kuntara Pukthuanthong and Richard Roll
Journal of Financial Economics (2019)
A New Method for Factor-Mimicking Portfolio Construction [SSRN]
Formerly "A Toolkit for Factor-Mimicking Portfolios"
with Kuntara Pukthuanthong, Richard Roll and Tengfei Zhang
Finalist, Crowell Prize, PanAgora Asset Management (2019), NFA (2019), CICF (2019)
An Agnostic and Practically Useful Estimator of the Stochastic Discount Factor [SSRN]
with Richard Roll and Kuntara Pukthuanthong
Best Paper Award for PBFEAM Conference (2022)
MFA (2022)
A Generalized Machine Learning Framework for Linear Factor Model Test
with Christopher Jones, Jinchi Lv and Kuntara Pukthuanthong
SoFIE (2021), NBER Time-Series Poster Session (2021)
Second Moment Asset Pricing [SSRN]
with Sina Ehsani
MFA (2024)