This paper examines volatility transmission in oil, ethanol and corn prices in the United States between 1997 and 2011. We follow a multivariate GARCH approach to evaluate the level of interdependence and the dynamics of volatility across these markets. The estimation results indicate a higher interaction between ethanol and corn markets in recent years, particularly after 2006 when ethanol became the sole alternative oxygenate for gasoline. We only observe, however, significant volatility spillovers from corn to ethanol prices but not the converse. We also do not find major cross-volatility effects from oil to corn markets. The results do not provide evidence of volatility in energy markets stimulating price volatility in grain markets.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: This paper examines the level of interdependence and volatility transmission in global agricultural futures markets. We follow a multivariate GARCH approach to explore the dynamics and cross-dynamics of volatility across major exchanges of corn, wheat, and soybeans between the United States, Europe, and Asia. We account for the potential bias that may arise when considering exchanges with different closing times. The results indicate that agricultural markets are highly interrelated and there are both own-and cross-volatility spillovers and dependence among most of the exchanges. The results also show the major role Chicago plays in terms of spillover effects over the other markets, particularly for corn and wheat. Additionally, the level of interdependence between exchanges has only increased in recent years for some of the commodities. Keywords: Volatility transmission, agricultural commodities, futures markets, Multivariate GARCH. JEL Classification: Q02, G15, Q11, C32. Terms of use: Documents inResumen: En este trabajo se analiza el nivel de interdependencia y transmisión de volatilidad en los mercados internacionales de futuros agrícolas. Se sigue un enfoque de GARCH multivariado para explorar la dinámica y la dinámica cruzada de la volatilidad para los principales mercados de maíz, trigo y soya en Estados Unidos, Europa y Asia. Se toma en cuenta el posible sesgo que puede surgir cuando se consideran mercados con diferentes horarios de cierre. Los resultados indican que los mercados agrícolas se encuentran altamente interrelacionados y que existen derrames propios y cruzados de volatilidad y dependencias entre la mayoría de los mercados. Los resultados indican además el importante papel que juega Chicago en términos de efectos de derrame de volatilidad sobre los otros mercados, particularmente para maíz y trigo. Adicionalmente, el nivel de interdependencia entre los mercados sólo se ha incrementado en años recientes para algunos de los productos primarios. Palabras Clave: Transmisión de volatilidad, productos primarios agrícolas, mercados de futuros, GARCH multivariado.
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 1998 through 2012. Preliminary results indicate lack of cross-market dependence between corn, wheat and soybeans price returns at the mean level. We find, however, important volatility spillovers across commodities, particularly on a weekly basis. Corn, and in lower extent wheat, seem to play a major role in terms of spillover effects. Additionally, we do not observe that agricultural markets have become more interdependent in recent years, despite the apparent higher financial market integration of agricultural commodities.
Understanding the sources of domestic food price volatility in developing countries and the extent to which it is transmitted from international to domestic markets is critical to help design better global, regional, and domestic policies to cope with excessive food price volatility and to protect the most vulnerable groups. This paper examines price and volatility transmission from major grain commodities to 41 domestic food products across 27 countries in Africa, Latin America, and South Asia. We follow a multivariate GARCH approach to model the dynamics of monthly price volatility in international and domestic markets. The period of analysis is 2000 through 2013. In terms of price transmission in levels, we only observe lead-lag relationships from international to domestic markets in few cases. To calculate volatility spillovers, we simulate a shock equivalent to a 1% increase in the conditional volatility of prices in the international market and evaluate its effect on the conditional volatility of prices in the domestic market. The transmission of price volatility is statistically significant in just one-quarter of the maize markets tested, almost half of rice markets tested, and all wheat markets tested. Volatility transmission seems to be more common when trade (imports or exports) are large relatively to domestic requirements.
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