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Hedging Strategies of Green Assets against Dirty Energy Assets

Author

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  • Tareq Saeed

    (Nonlinear Analysis and Applied Mathematics (NAAM)-Research Group, Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Makkah 22254, Saudi Arabia)

  • Elie Bouri

    (USEK Business School, Holy Spirit University of Kaslik, P.O. Box 446 Jounieh, Lebanon
    Institute of Business Research, University of Economics Ho Chi Minh City, Ho Chi Minh City 70000, Vietnam)

  • Dang Khoa Tran

    (Institute of Business Research, University of Economics Ho Chi Minh City, Ho Chi Minh City 70000, Vietnam)

Abstract

Previous studies argue that the relationships between clean/green and dirty energy assets are time-varying, but there is a lack of evidence on the hedging ability of clean energy stocks and green bonds for dirty assets, such as crude oil and an energy stock index exchange traded fund (ETF), and the portfolio implications. Furthermore, potential drivers of the dynamics of the hedge portfolio returns are still unknown. To address these research gaps, the authors provide an extensive analysis of the hedging ability of clean/green assets against two dirty energy assets (crude oil prices and energy ETF) using daily data from 3 January 2012 to 29 November 2019. Using corrected dynamic conditional correlation models, the authors model correlation and then compute hedge ratios and hedging effectiveness, which all seem to vary with time. The results from hedging effectiveness indicate that investors should follow a dynamic hedging strategy and that clean energy stocks are more effective hedge than green bonds, especially for crude oil. The application of regression analyses shows that the implied volatilities of US equities and crude oil as well as US dollar index have a negative impact on the hedge portfolio returns, whereas gold prices and inflation have a positive impact.

Suggested Citation

  • Tareq Saeed & Elie Bouri & Dang Khoa Tran, 2020. "Hedging Strategies of Green Assets against Dirty Energy Assets," Energies, MDPI, vol. 13(12), pages 1-17, June.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3141-:d:372689
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