We analyze empirically the drivers of grain option-implied volatilities (IVs). Forward-looking uncertainty and risk aversion in equity market (jointly captured by the VIX) and the state of commodity inventories (proxied by the net cost of carry for each grain) have significant impacts on forward-looking volatility in the three largest U.S. agricultural markets: corn, soybeans, and wheat. We also find some evidence that financial speculation has an immediate but short-lived negative impact on grain Ivs
Motivated by repeated price spikes and crashes over the last decade, we investigate whether the inte...
This paper uses GJR–GARCH estimations to analyze the price volatility transmissions among the crude ...
Motivated by repeated price spikes and crashes over the last decade, we investigate whether the inte...
The empirical stury attempts to find empirical evidence on volatility in the grain sector, and parti...
Options with different maturities can be used to generate an implied forward volatility, a volatilit...
This article provides a new approach to analyze the issue of volatility spillovers. In particular, w...
The recent global food crisis has caused an increase in agricultural market volatility, raising impo...
Understanding the determinants of price volatility is a key step to prevent potential negative conse...
Options with different maturities can be used to generate an implied forward volatility, a volatilit...
84 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.This dissertation assesses the...
A vast number of studies examined the determinants of price volatility in agricultural markets. It i...
Several studies, focused on the understanding of price volatility determinants in agricultural commo...
Several studies, focused on the understanding of price volatility determinants in agricultural commo...
The recent global food crisis has caused an increase in agricultural market volatility, raising impo...
Wheat, corn, rice, soybeans, and cotton experienced higher volatility in the second half of the 2000...
Motivated by repeated price spikes and crashes over the last decade, we investigate whether the inte...
This paper uses GJR–GARCH estimations to analyze the price volatility transmissions among the crude ...
Motivated by repeated price spikes and crashes over the last decade, we investigate whether the inte...
The empirical stury attempts to find empirical evidence on volatility in the grain sector, and parti...
Options with different maturities can be used to generate an implied forward volatility, a volatilit...
This article provides a new approach to analyze the issue of volatility spillovers. In particular, w...
The recent global food crisis has caused an increase in agricultural market volatility, raising impo...
Understanding the determinants of price volatility is a key step to prevent potential negative conse...
Options with different maturities can be used to generate an implied forward volatility, a volatilit...
84 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.This dissertation assesses the...
A vast number of studies examined the determinants of price volatility in agricultural markets. It i...
Several studies, focused on the understanding of price volatility determinants in agricultural commo...
Several studies, focused on the understanding of price volatility determinants in agricultural commo...
The recent global food crisis has caused an increase in agricultural market volatility, raising impo...
Wheat, corn, rice, soybeans, and cotton experienced higher volatility in the second half of the 2000...
Motivated by repeated price spikes and crashes over the last decade, we investigate whether the inte...
This paper uses GJR–GARCH estimations to analyze the price volatility transmissions among the crude ...
Motivated by repeated price spikes and crashes over the last decade, we investigate whether the inte...