Overnight-Intraday Reversal Everywhere

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

See all articles by Robert Kosowski

Robert Kosowski

Imperial College Business School; CEPR (Centre for Economic Policy Research)

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

Date Written: September 7, 2023

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 sentiment, macro-news announcements, and market uncertainty 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 could well predict the strategy returns.

Keywords: Overnight return, Intraday return, Short-term reversal, Liquidity provision

JEL Classification: G11, G12, G15, G20

Suggested Citation

Kosowski, Robert and Liu, Chun and Liu, Chun and Liu, Yang and Wang, Tianyu, Overnight-Intraday Reversal Everywhere (September 7, 2023). Asian Finance Association (AsianFA) 2016 Conference, Available at SSRN: https://ssrn.com/abstract=2730304 or http://dx.doi.org/10.2139/ssrn.2730304

Robert Kosowski

Imperial College Business School ( email )

South Kensington Campus
Exhibition Road
London SW7 2AZ, SW7 2AZ
United Kingdom
+442075943294 (Phone)

HOME PAGE: http://www3.imperial.ac.uk/people/r.kosowski

CEPR (Centre for Economic Policy Research) ( email )

London
United Kingdom

HOME PAGE: http://www.cepr.org/

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

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