To read this content please select one of the options below:

Risk hedging properties of infrastructure: a quantile regression approach

Surbhi Gupta (Department of Management Studies, Indian Institute of Technology Roorkee, Roorkee, India)
Anil K. Sharma (Department of Management Studies, Indian Institute of Technology Roorkee, Roorkee, India)

Studies in Economics and Finance

ISSN: 1086-7376

Article publication date: 9 November 2022

Issue publication date: 20 February 2023

215

Abstract

Purpose

This paper aims to examine the hedge, diversifier and safe haven properties of the global listed infrastructure sector and subsector indices against two traditional asset classes, stocks and bonds, and four alternative asset classes, including commodities, real estate, private equity and hedge funds during extreme negative stock market movements.

Design/methodology/approach

Using dynamic conditional correlation and quantile regression, the authors analyze a data set of 12 indices comprising listed infrastructure and traditional asset classes from 2010 to 2019.

Findings

Overall, the findings indicate that listed infrastructure acts as an effective diversifier but not as a strong safe haven or hedge when considered in a multiasset context. With minor exceptions, listed infrastructure cannot be concluded as a safe haven against other asset classes under investigation.

Practical implications

The present study has implications for institutional investors looking to incorporate infrastructure in their multiasset portfolios for increased portfolio diversification benefits.

Originality/value

Despite the increased influence of infrastructure as an asset class, to the best of the authors’ knowledge, this is the first study to investigate the hedge, safe haven and diversifying properties of infrastructure in a multi-asset context.

Keywords

Citation

Gupta, S. and Sharma, A.K. (2023), "Risk hedging properties of infrastructure: a quantile regression approach", Studies in Economics and Finance, Vol. 40 No. 2, pp. 302-312. https://doi.org/10.1108/SEF-07-2022-0382

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

Related articles