This analysis evaluates determinants of price variability in U.S. corn and
wheat futures markets, The analysis is conducted in two segments. In the fi
rst segment, conditional heteroscedasticity models of price variability are
estimated and used to examine the extent to which market conditions influe
nce price variability. The second component of the analysis uses nonstructu
ral vector autoregressive models to evaluate factors related to implied vol
atilities calculated from options premia, Our results indicate that corn an
d wheat price variability is significantly related to the ratio of use to s
tocks, futures market activity, and growing conditions. In addition, import
ant seasonal and autoregressive effects are revealed. Our results provide a
n intuitive interpretation for GARCH and ARCH effects, which are often demo
nstrated for futures price data. (C) 2000 John Wiley & Sons, Inc.