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Exploring the sources of systemic risk and trading strategies in energy and stock markets

  • Jiayu Jin
  • , Liyan Han
  • , Lei Wu*
  • , Hongchao Zeng
  • *Corresponding author for this work
  • Central University of Finance and Economics
  • Yanqi Lake Beijing Institute of Mathematical Sciences and Applications
  • University of Nevada, Reno

Research output: Contribution to journalArticlepeer-review

Abstract

This study aims to investigate the impact of the energy transition on asset pricing by analyzing the different sources of systemic risk in a comprehensive system of one traditional energy ETF, one clean energy ETF, seven oil-exporting country ETFs, and six oil-importing country ETFs. We find that shocks to the traditional (clean) energy market are the primary source of short-term (long-term) systemic risk, suggesting that oil-dependent countries have started to incorporate the long-term risks associated with clean energy into the pricing of related assets. Meanwhile, we document both homogeneity within and heterogeneity between oil exporters and oil importers in the transmission patterns of systemic risk. These findings can help provide customized trading strategies for investors with diverse profiles. Additionally, we compare the regime-dependent hedging strategy with both the regime-dependent diversification strategy and the dynamic hedging strategy, demonstrating that it is the most effective for investors aiming to minimize portfolio volatility. Collectively, our results provide valuable insights that can assist policymakers, portfolio managers, and investors in adapting to the evolving dynamics of the energy transition.

Original languageEnglish
Article number107873
JournalEnergy Economics
Volume139
DOIs
StatePublished - Nov 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Country ETFs
  • Dynamic hedging strategies
  • Energy markets
  • Evolution of connectedness
  • Frequency domain
  • Oil-dependent countries
  • Regime-dependent trading strategies
  • Systemic risk

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