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Industrial tail exposure risk and asset price: Evidence from US REITs

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  • Jeongseop Song
  • Kim Hiang Liow

Abstract

In this study, we investigate the impact of industry‐based tail dependence risk on the cross‐section of stock returns. To this end, we propose a novel tail risk dependence measure (industrial tail exposure risk [ITER]), which captures the tail risk exposure of individual stocks to multiple industries. Using US equity real estate investment trusts (REITs) data from 1993 to 2020, we document that stocks in the highest ITER portfolio outperform stocks in the lowest ITER portfolio by 8.40% per annum. This positive return spread is significant even after controlling for well‐known firm characteristics. The return premium of ITER is stronger for small, value, and highly levered stocks and is substantially high during recession periods. Finally, the effects of ITER are cross‐sectionally more associated with REITs that have greater degrees of the following factors: bivariate tail exposure risks of major industries, exposure to local industry tail risk, geographical concentration, and ownership of home‐biased investors. Overall, our results suggest that REIT investors are indeed averse to tail risks that are associated with various sectors.

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  • Jeongseop Song & Kim Hiang Liow, 2023. "Industrial tail exposure risk and asset price: Evidence from US REITs," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(5), pages 1209-1245, September.
    • Handle: RePEc:bla:reesec:v:51:y:2023:i:5:p:1209-1245
    DOI: 10.1111/1540-6229.12402
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