TY - JOUR
T1 - Nature and the capital market
T2 - analyzing the spillover effect between biodiversity and heavy industry stock indices
AU - Hyde, Stuart
AU - Karkowska, Renata
AU - Urjasz, Szczepan
N1 - Publisher Copyright:
© 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2025
Y1 - 2025
N2 - This study breaks new ground in investigating the volatility transmission between biodiversity stock indices and those from heavy industry sectors such as mining, chemicals, and energy. We estimate volatility transmission indices using data from March 2010 to April 2024, incorporating three biodiversity indices and five indices from heavy manufacturing and energy companies. By employing a dynamic Time-Varying Parameter Vector Autoregressive (TVP-VAR) model, the research identifies which indices serve as exporters or importers of volatility on a global scale, shedding light on the relationship between environmentally focused companies and traditionally pollution-intensive industries. The results indicate that biodiversity measures are significant sources of volatility, particularly impacting the mining and energy sectors. Additionally, the study explores portfolio diversification and asset allocation strategies, assessing the effectiveness of biodiversity assets in hedging. The findings provide important and policy-relevant insights. For ESG-oriented investors, integrating the systemic impact of biodiversity assets into risk models is essential for informed decision-making. Policymakers can enhance the stability and integration of these markets by promoting standardized biodiversity disclosures, incentivizing biodiversity-linked instruments, and implementing regulatory tools that address nature-related financial risks. Collectively, these efforts foster a more resilient financial system and help align biodiversity finance with global sustainability objectives.
AB - This study breaks new ground in investigating the volatility transmission between biodiversity stock indices and those from heavy industry sectors such as mining, chemicals, and energy. We estimate volatility transmission indices using data from March 2010 to April 2024, incorporating three biodiversity indices and five indices from heavy manufacturing and energy companies. By employing a dynamic Time-Varying Parameter Vector Autoregressive (TVP-VAR) model, the research identifies which indices serve as exporters or importers of volatility on a global scale, shedding light on the relationship between environmentally focused companies and traditionally pollution-intensive industries. The results indicate that biodiversity measures are significant sources of volatility, particularly impacting the mining and energy sectors. Additionally, the study explores portfolio diversification and asset allocation strategies, assessing the effectiveness of biodiversity assets in hedging. The findings provide important and policy-relevant insights. For ESG-oriented investors, integrating the systemic impact of biodiversity assets into risk models is essential for informed decision-making. Policymakers can enhance the stability and integration of these markets by promoting standardized biodiversity disclosures, incentivizing biodiversity-linked instruments, and implementing regulatory tools that address nature-related financial risks. Collectively, these efforts foster a more resilient financial system and help align biodiversity finance with global sustainability objectives.
KW - Biodiversity
KW - connectedness
KW - hedging
KW - portfolio management
KW - stock market
UR - https://www.scopus.com/pages/publications/105022929829
U2 - 10.1080/1351847X.2025.2585975
DO - 10.1080/1351847X.2025.2585975
M3 - Article
AN - SCOPUS:105022929829
SN - 1351-847X
JO - European Journal of Finance
JF - European Journal of Finance
ER -