Do policy uncertainty and volatility index affect dynamic connectedness among house price, financial and commodity market indices? Evidence from TVP-VAR and quantile regression analysis

This study initially analyses the connectedness among five indexes representing five asset classes: equities, bonds, commodities, currencies, and housing prices. Subsequently, it analyses the influence of policy uncertainty and equity market risk on the total connectedness of assets and their impact on the significance of the home price index. A time-varying parameter vector autoregressions (TVP-VAR) model has been employed to explore the connectedness of the assets. Secondly, quantile regression is employed to gauge the impact of uncertainty and market risk in this study. The findings show that the S&P500 is the market’s most influential index. The home price index has proven sensitive to shocks from government bonds, commodities, and stock indexes across the period analyzed. Finally, findings have indicated that policy uncertainty positively influences the overall connectedness among the variables at all the quantiles. Moreover, at higher quantiles, an increase in policy uncertainty and equity-market risk decreases the net connectedness of the house price index. These findings hold significant implications for investors and policymakers in terms of diversification of portfolios and mitigating portfolio risk during periods of economic turbulence.

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Publication Details

Journal
Cogent Economics & Finance
Published
2025-06-02
DOI
https://doi.org/10.1080/23322039.2025.2509613
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
3.13
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article

Do policy uncertainty and volatility index affect dynamic connectedness among house price, financial and commodity market indices? Evidence from TVP-VAR and quantile regression analysis

Prabina Rajib, N. K. Sarma
1 citations
Cogent Economics & Finance
Market Dynamics and Volatility
3.13
article

Do policy uncertainty and volatility index affect dynamic connectedness among house price, financial and commodity market indices? Evidence from TVP-VAR and quantile regression analysis

Prabina Rajib, N. K. Sarma
article en
1 citations

Abstract

This study initially analyses the connectedness among five indexes representing five asset classes: equities, bonds, commodities, currencies, and housing prices. Subsequently, it analyses the influence of policy uncertainty and equity market risk on the total connectedness of assets and their impact on the significance of the home price index. A time-varying parameter vector autoregressions (TVP-VAR) model has been employed to explore the connectedness of the assets. Secondly, quantile regression is employed to gauge the impact of uncertainty and market risk in this study. The findings show that the S&P500 is the market’s most influential index. The home price index has proven sensitive to shocks from government bonds, commodities, and stock indexes across the period analyzed. Finally, findings have indicated that policy uncertainty positively influences the overall connectedness among the variables at all the quantiles. Moreover, at higher quantiles, an increase in policy uncertainty and equity-market risk decreases the net connectedness of the house price index. These findings hold significant implications for investors and policymakers in terms of diversification of portfolios and mitigating portfolio risk during periods of economic turbulence.

Cogent Economics & FinanceVol. 13(1)
Indian Institute of Technology Kharagpur (IN)
Decent work and economic growth
Openalex Percentile: Top 8%
Market Dynamics and Volatility
3.13
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Do policy uncertainty and volatility index affect dynamic connectedness among house price, financial and commodity market indices? Evidence from TVP-VAR and quantile regression analysis — Prabina Rajib, N. K. Sarma · Cogent Economics & Finance (2025) | TGRS Research Map | TGRS