TY - JOUR
T1 - Grain price and volatility transmission from international to domestic markets in developing countries
AU - Ceballos, Francisco
AU - Hernandez, Manuel A.
AU - Minot, Nicholas
AU - Robles, Miguel
PY - 2017/6/1
Y1 - 2017/6/1
N2 - 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 short-term 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 return volatility in international and domestic markets. The period of analysis is 2000 through 2013. In terms of price transmission, we only observe significant interactions 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 price returns in the international market and evaluate its effect on the conditional volatility of price returns in the domestic market. The transmission of volatility is statistically significant in just one-quarter of the maize markets tested, more than 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.
AB - 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 short-term 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 return volatility in international and domestic markets. The period of analysis is 2000 through 2013. In terms of price transmission, we only observe significant interactions 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 price returns in the international market and evaluate its effect on the conditional volatility of price returns in the domestic market. The transmission of volatility is statistically significant in just one-quarter of the maize markets tested, more than 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.
KW - domestic markets
KW - grain commodity prices
KW - price transmission
KW - volatility transmission
KW - domestic markets
KW - grain commodity prices
KW - price transmission
KW - volatility transmission
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U2 - 10.1016/j.worlddev.2017.01.015
DO - 10.1016/j.worlddev.2017.01.015
M3 - Article in a journal
SN - 0305-750X
VL - 94
SP - 305
EP - 320
JO - World Development
JF - World Development
ER -