Overnight-Intraday Reversal Everywhere

62 Pages Posted: 11 Feb 2016 Last revised: 13 Sep 2023

See all articles by Chun Liu

Chun Liu

University of Toronto; Tsinghua University - School of Economics and Management

Yang Liu

Hunan University - College of Finance and Statistics

Tianyu Wang

Tsinghua University, School of Economics and Management

Guofu Zhou

Washington University in St. Louis - John M. Olin Business School

Yingzi Zhu

Tsinghua University - School of Economics & Management

Date Written: December 31, 2016

Abstract

A strategy that buys securities with low past overnight returns and sells securities with high past overnight returns generates sizeable out-of-sample intraday returns and Sharpe ratios in all major asset classes. This strategy, labeled as overnight-intraday reversal, delivers an average return that is about two to five times larger than those generated by the conventional reversal strategy. Investor heterogeneity, sentiment, market uncertainty and market-wide illiquidity fail to explain this overnight-intraday reversal return. Our findings are consistent with an asset class-specific market maker liquidity provision mechanism, and we find that cross-sectional return dispersion can predict the strategy returns in every asset class. A global two-factor model, consisting of the market and overnight-intraday reversal factor, well explains the intraday return variation of diversified portfolios across asset classes.

Keywords: Overnight-Intraday Reversal Everywhere Overnight return, Intraday return, Short-term reversal, Liquidity provision JEL Classification: G11, G12, G15, G20

JEL Classification: G11, G12, G15, G20

Suggested Citation

Liu, Chun and Liu, Chun and Liu, Yang and Wang, Tianyu and Zhou, Guofu and Zhu, Yingzi, Overnight-Intraday Reversal Everywhere (December 31, 2016). Asian Finance Association (AsianFA) 2016 Conference, Available at SSRN: https://ssrn.com/abstract=2730304 or http://dx.doi.org/10.2139/ssrn.2730304

Chun Liu

University of Toronto ( email )

105 St George Street
Toronto, Ontario M5S 3G8
Canada

Tsinghua University - School of Economics and Management ( email )

Beijing, 100084
China

Yang Liu

Hunan University - College of Finance and Statistics ( email )

Changsha
China

Tianyu Wang (Contact Author)

Tsinghua University, School of Economics and Management ( email )

Beijing, 100084
China

Guofu Zhou

Washington University in St. Louis - John M. Olin Business School ( email )

Washington University
Campus Box 1133
St. Louis, MO 63130-4899
United States
314-935-6384 (Phone)
314-658-6359 (Fax)

HOME PAGE: http://apps.olin.wustl.edu/faculty/zhou/

Yingzi Zhu

Tsinghua University - School of Economics & Management ( email )

Beijing, 100084
China
+86-10-62786041 (Phone)

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