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Grain Price and Volatility Transmission from International to Domestic Markets in Developing Countries

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  • Ceballos, Francisco
  • Hernandez, Manuel A.
  • Minot, Nicholas
  • Robles, Miguel

Abstract

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.

Suggested Citation

  • Ceballos, Francisco & Hernandez, Manuel A. & Minot, Nicholas & Robles, Miguel, 2017. "Grain Price and Volatility Transmission from International to Domestic Markets in Developing Countries," World Development, Elsevier, vol. 94(C), pages 305-320.
  • Handle: RePEc:eee:wdevel:v:94:y:2017:i:c:p:305-320
    DOI: 10.1016/j.worlddev.2017.01.015
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    More about this item

    Keywords

    volatility transmission; price transmission; grain commodity prices; domestic markets;
    All these keywords.

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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