Oil and asset classes implied volatilities: Investment strategies and hedging effectiveness

Nikolaos Antonakakis, Juncal Cunado, George Filis, David Gabauer, Fernando Garcia

Research output: Contribution to journalArticlepeer-review

Abstract

Building on the increased interest in oil prices and other financial assets, this paper examines the dynamic conditional correlations among their implied volatility indices. We then proceed to the examination of the optimal hedging strategies and optimal portfolio weights for implied volatility portfolios between oil and fourteen asset volatilities, which belong to four different asset classes (stocks, commodities, exchange rates and macroeconomic conditions). The results suggest that the oil price implied volatility index (OVX) is highly correlated with the US and emerging stock market volatility indices, whereas the lowest correlations are observed with the implied volatilities of gold and the Euro/dollar exchange rate. Hedge ratios indicate that VIX is the least useful implied volatility index to hedge against oil implied volatility. Finally, we show that investors can benefit substantially by adjusting their portfolios based on the dynamic weights and hedge ratios obtained from the dynamic conditional correlation models, although a trade-off exists between the level of risk reduction and portfolio profitability.
Original languageEnglish
Article number104762
Number of pages91
JournalEnergy Economics
Volume91
DOIs
Publication statusPublished - 2020

Fields of science

  • 101007 Financial mathematics
  • 101018 Statistics
  • 101026 Time series analysis
  • 102037 Visualisation
  • 502025 Econometrics
  • 502051 Economic statistics

JKU Focus areas

  • Transformation in Finance and Financial Institutions

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