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Industry concentration and the cross-section of stock returns: Evidence from the UK

Industry concentration and the cross-section of stock returns: Evidence from the UK

Hashem, Nawar and Su, Larry (2015) Industry concentration and the cross-section of stock returns: Evidence from the UK. Journal of Business Economics and Management, 16 (4). pp. 769-785. ISSN 1611-1699 (Print), 2029-4433 (Online) (doi:https://doi.org/10.3846/16111699.2013.833547)

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Abstract

In this paper, we examine the relationship between market structure and expected stock returns in the London Stock Exchange during 1985 and 2010. Using Fama-MacBeth regressions, we find that industry concentration is negatively related to average stock returns, even after controlling for beta, size, book-to-market equity, momentum, and leverage. In addition, there is strong evidence of a growth effect. Firms or industry portfolios with smaller book-to-market ratios have significantly higher returns. In contrast, beta is never statistically significant. The above results are robust to firm- and industry-level regressions, and the formation of firms into 100 size-beta portfolios. Our findings indicate that competitive industries earn, on average, higher risk-adjusted returns than concentrated industries. An explanation is that investors in more competitive industries require larger premiums for greater distress risks associated with these industries. Our paper is one of the first to link market competition with the average stock returns in the UK, and contributes to the asset pricing literature by extending the evidence from the US to another important financial market.

Item Type: Article
Uncontrolled Keywords: Industry concentration, Stock returns, Market structure, Distress risk, Asset pricing, London stock exchange
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of International Business & Economics
Last Modified: 01 May 2018 09:05
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: GREAT a
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/13903

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