Short Interest in Bonds and Aggregate Stock Returns

62 Pages Posted: 16 Jan 2025 Last revised: 7 Mar 2025

See all articles by Huu Nhan Duong

Huu Nhan Duong

Monash University - Department of Banking and Finance; Financial Research Network (FIRN)

Arseny Gorbenko

Monash University - Department of Banking and Finance

Petko S. Kalev

University of National and World Economy (UNWE); RoZetta Institute

Xiao Tian

Swinburne University of Technology - Department of Accounting, Economics, and Finance

Date Written: January 14, 2025

Abstract

Short interest in corporate bonds negatively predicts aggregate stock returns. In- and out-of-sample tests suggest that this predictability is stronger and more long-lasting compared to short interest in stocks, corporate bond variables, and other well-known predictors of stock market returns. Short interest in bonds captures informed trading as evidenced by its ability to predict aggregate bond return characteristics, credit spreads, and changes in firm fundamentals, including default probabilities and earnings surprises. Predictability is the strongest in periods when stock and bond markets have more frictions, which impair market integration and delay information diffusion between markets.

Keywords: short interest, corporate bonds, aggregate stock returns, predictive regressions, informed traders

JEL Classification: G12, G14, G17

Suggested Citation

Duong, Huu Nhan and Gorbenko, Arseny and Kalev, Petko S. and Tian, Xiao, Short Interest in Bonds and Aggregate Stock Returns (January 14, 2025). Available at SSRN: https://ssrn.com/abstract=5099127 or http://dx.doi.org/10.2139/ssrn.5099127

Huu Nhan Duong

Monash University - Department of Banking and Finance ( email )

Melbourne
Australia

Financial Research Network (FIRN)

C/- University of Queensland Business School
St Lucia, 4071 Brisbane
Queensland
Australia

HOME PAGE: http://www.firn.org.au

Arseny Gorbenko (Contact Author)

Monash University - Department of Banking and Finance ( email )

900 Dandenong Road
Caulfield East
Melbourne, Victoria 3145
Australia

Petko S. Kalev

University of National and World Economy (UNWE) ( email )

Studentsky Grad
Sofia, 1700
Bulgaria

RoZetta Institute ( email )

Sydney

Xiao Tian

Swinburne University of Technology - Department of Accounting, Economics, and Finance ( email )

Cnr Wakefield and William Streets, Hawthorn Victor
3122 Victoria, Victoria 3122
Australia

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