Publications Database

Welcome to the new Schulich Peer-Reviewed Publication Database!

The database is currently in beta-testing and will be updated with more features as time goes on. In the meantime, stakeholders are free to explore our faculty’s numerous works. The left-hand panel affords the ability to search by the following:

  • Faculty Member’s Name;
  • Area of Expertise;
  • Whether the Publication is Open-Access (free for public download);
  • Journal Name; and
  • Date Range.

At present, the database covers publications from 2012 to 2020, but will extend further back in the future. In addition to listing publications, the database includes two types of impact metrics: Altmetrics and Plum. The database will be updated annually with most recent publications from our faculty.

If you have any questions or input, please don’t hesitate to get in touch.

 

Search Results

Ahmed, W., Sadorsky, P. and Sharma, A. (2018). "Optimal Hedge Ratios for Clean Energy Equities", Economic Modelling, 72, 278-295.

View Paper

Keywords
Abstract Clean energy equities represent a relatively new class of assets to invest in, and these assets can be very volatile. An understanding of how investors in clean energy stocks can hedge their investment is essential for risk management. In this study, we use daily data covering the period March 03, 2008 to October 31, 2017, to examine how crude oil, US-bonds, gold, VIX, OVX and European carbon prices can be used to hedge an investment in clean energy equities. We apply three variants of multivariate GARCH models (DCC, ADCC and GO-GARCH) to estimate time-varying optimal hedge ratios. The results suggest that VIX is the best asset to hedge clean energy equities followed by crude oil and OVX. This is a new result relative to the existing literature on clean energy stock prices and one that is of interest to current and future investors in clean energy stocks.