Tail Dependence: The Impact of Risk Spillovers on Real Estate Markets in Times of Economic and Geo‐Political Uncertainty

ABSTRACT The first half of the 2020's has seen a degree of economic and geo‐political uncertainty not observed since the 1970s. This paper looks at how listed real estate is exposed to capital market shocks by estimating Conditional Value‐at‐Risk (CoVaR), which captures the sensitivity of real estate returns to extreme movements in broader equity markets. We use threshold Generalized Autoregressive Conditional Heteroskedasticity (tGARCH) and Copula co‐dependency functions to accurately account for tail behavior and dependency structures. We find a significant increase in downside spillovers from capital markets to listed real estate during the Covid period across most countries. However, the response to geo‐political events varies across countries, which might provide diversification benefits at international level. Furthermore, geo‐political shocks seem more strongly transmitted through stock markets rather than bond markets.

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Publication Details

Journal
International Review of Finance
Published
2026-08-28
DOI
https://doi.org/10.1111/irfi.70098
Citations
1
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
13.62
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article

Tail Dependence: The Impact of Risk Spillovers on Real Estate Markets in Times of Economic and Geo‐Political Uncertainty

Lingshan Xie, Simon Stevenson, Stanimira Milcheva
1 citations
International Review of Finance
Housing Market and Economics
13.62
article

Tail Dependence: The Impact of Risk Spillovers on Real Estate Markets in Times of Economic and Geo‐Political Uncertainty

Lingshan Xie, Simon Stevenson, Stanimira Milcheva
article en
1 citations

Abstract

ABSTRACT The first half of the 2020's has seen a degree of economic and geo‐political uncertainty not observed since the 1970s. This paper looks at how listed real estate is exposed to capital market shocks by estimating Conditional Value‐at‐Risk (CoVaR), which captures the sensitivity of real estate returns to extreme movements in broader equity markets. We use threshold Generalized Autoregressive Conditional Heteroskedasticity (tGARCH) and Copula co‐dependency functions to accurately account for tail behavior and dependency structures. We find a significant increase in downside spillovers from capital markets to listed real estate during the Covid period across most countries. However, the response to geo‐political events varies across countries, which might provide diversification benefits at international level. Furthermore, geo‐political shocks seem more strongly transmitted through stock markets rather than bond markets.

International Review of FinanceVol. 26(3)
Hong Kong Polytechnic University (HK), University College London (GB), Old Dominion University (US)
Openalex Percentile: Top 4%
Housing Market and Economics
13.62
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