LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Short and long-term volatility transmission from oil to agricultural commodities – The robust quantile regression approach

Photo by hdbernd from unsplash

Abstract This paper investigates permanent and transitory spillover effects from Brent oil futures to four agricultural futures – corn, wheat, soybean and canola. We construct permanent and transitory volatilities via… Click to show full abstract

Abstract This paper investigates permanent and transitory spillover effects from Brent oil futures to four agricultural futures – corn, wheat, soybean and canola. We construct permanent and transitory volatilities via component GARCH model, considering six different distribution functions. Created volatility time-series are embedded in the robust quantile regression framework. Transitory effect from oil market has slightly stronger influence on the agricultural commodities than its permanent counterpart, which is a sign that short-term information flow has more intense effect than fundamental factors. The results indicate that the best diversification instrument in combination with oil is soybean futures, since it is the least subject to oil volatility shocks.

Keywords: quantile regression; volatility; robust quantile; agricultural commodities; oil

Journal Title: Borsa Istanbul Review
Year Published: 2020

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.