This paper provides a comprehensive analysis of the dynamics of volatility between the corn, wheat, and soybean markets in the United States. Volatility interactions across markets, if they exist, may lower the effectiveness of diversification strategies to mitigate price risks and should be...

This paper examines volatility transmission between corn, wheat and soybeans markets in the US. We follow a multivariate GARCH approach to evaluate the level of interdependence and the dynamics of volatility across these major crops on a daily, weekly and monthly basis. The period of analysis is...

This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...

This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...

The value of USDA reports has long been a question of interest for researchers and practitioners. However, the impact of announcements on comovements across related commodity prices has not been explored beyond financial asset markets. This is important because the structure of the relationship...

This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...

This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...

We study the joint movements of the returns on futures for crude oil, heating oil and natural gas at a daily frequency. We model the leptokurtic behavior through the multivariate GARCH with dynamic conditional correlations and elliptical distributions introduced by Pelagatti and Rondena (2004)....

This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...