Interconnectedness between real estate returns and sustainable investments: A cross-quantilogram and quantile coherency approach

The real estate sector is a substantial energy consumer, contributing to a large share of global greenhouse gas emissions. Despite the known links between the real estate sector and sustainable assets, studies exploring comovements or dependence between them are still scarce. The present paper contributes to this challenging problem by capturing and analyzing the non-linear dependence over time and frequency between real estate returns and sustainable assets - green bonds, clean energy and environmental, social, and governance (ESG) stocks. We adopt a modeling approach that utilizes both the cross-quantilogram and the quantile coherency method. Our empirical results indicate unidirectional dependence from the real estate sector to most sustainable assets in both tails and under normal market conditions, although bidirectional dependence in the lower quantiles. Moreover, based on recursive window estimations, when the Covid-19 period is included, green bond and real estate returns are tail-dependent both during boom and bust periods. However, in non-pandemic periods, higher dependency is found during booms. Furthermore, the returns of the green bonds are less dependent on real estate returns compared to other sustainable assets. Our findings are potentially relevant for investment portfolio and public policy decision-making.

Authors

Publication Details

Journal
Journal of Cleaner Production
Published
2024-10-24
DOI
https://doi.org/10.1016/j.jclepro.2024.144085
Citations
3
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
3.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interconnectedness between real estate returns and sustainable investments: A cross-quantilogram and quantile coherency approach

Anupam Dutta, Gazi Salah Uddin, Michel Ferreira Cardia Haddad, Bo Sjö et al.
3 citations
Journal of Cleaner Production
Market Dynamics and Volatility
3.39
article

Interconnectedness between real estate returns and sustainable investments: A cross-quantilogram and quantile coherency approach

Anupam Dutta, Gazi Salah Uddin, Michel Ferreira Cardia Haddad, Bo Sjö, David Stenvall
article en
3 citations

Abstract

The real estate sector is a substantial energy consumer, contributing to a large share of global greenhouse gas emissions. Despite the known links between the real estate sector and sustainable assets, studies exploring comovements or dependence between them are still scarce. The present paper contributes to this challenging problem by capturing and analyzing the non-linear dependence over time and frequency between real estate returns and sustainable assets - green bonds, clean energy and environmental, social, and governance (ESG) stocks. We adopt a modeling approach that utilizes both the cross-quantilogram and the quantile coherency method. Our empirical results indicate unidirectional dependence from the real estate sector to most sustainable assets in both tails and under normal market conditions, although bidirectional dependence in the lower quantiles. Moreover, based on recursive window estimations, when the Covid-19 period is included, green bond and real estate returns are tail-dependent both during boom and bust periods. However, in non-pandemic periods, higher dependency is found during booms. Furthermore, the returns of the green bonds are less dependent on real estate returns compared to other sustainable assets. Our findings are potentially relevant for investment portfolio and public policy decision-making.

Journal of Cleaner ProductionVol. 479
Openalex Percentile: Top 6%
Market Dynamics and Volatility
3.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.