This article studies US corn price fluctuations in the past two decades. Price volatility is explained by volatility clustering, the influence of energy prices, corn stocks and global economic conditions. A multivariate generalised auto-regressive conditional heteroskedastic specification that allows for exogenous variables in the conditional covariance model is estimated both parametrically and semiparametrically. Findings provide evidence of price volatility transmission between ethanol and corn markets. They also suggest that macroeconomic conditions can influence corn price volatility and that stock building is found to significantly reduce corn price fluctuations.
- price volatility
ASJC Scopus subject areas
- Agricultural and Biological Sciences (miscellaneous)
- Economics and Econometrics