Hedging downside risk for REITs
Jian Zhou
The North American Journal of Economics and Finance, 2025, vol. 79, issue C
Abstract:
As an alternative investment class, REITs possess a unique ‘duality’ feature and have been experiencing strong downside movements recently. The paper aims to investigate a timely research subject on hedging downside risk for REITs. We consider a variety of downside risk measures and assess the hedging performance of minimum-downside-risk (MDR) strategies relative to the benchmark minimum-variance (MV) approach. Our study reveals two important findings that are distinctive from those reported in other markets: first, the MV approach leads to under-hedging compared with various MDR approaches. Second, a simpler historical simulation method generally outperforms the more complex Monte Carlo simulation method in estimating optimal hedge ratios. Our study also yields similar results as in other markets. We find that a decent amount of tail risk would still remain even after hedging whereas other types of down risk can be largely hedged away. Moreover, as the hedger becomes more concerned with tail risk, the hedging performance would deteriorate.
Keywords: REIT index futures; Downside risk; Hedge ratio; Hedging effectiveness; Out-of-sample analysis (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1062940825001032
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecofin:v:79:y:2025:i:c:s1062940825001032
DOI: 10.1016/j.najef.2025.102463
Access Statistics for this article
The North American Journal of Economics and Finance is currently edited by Hamid Beladi
More articles in The North American Journal of Economics and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().