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Assessment of Price Volatility in the Fisheries Sector in Uganda

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  • Bukenya, James O.

Abstract

This paper examines price volatility in the African catfish (Clarias gariepinus) supply chain in Uganda. The volatility process in the catfish markets was analyzed based on monthly price data from January 2006 to August 2013. A GARCH model is used to estimate the volatility parameters. Empirical results revealed that the value of the first-order autoregressive term and the value of the first-order moving average term were significant for both aquaculture and wild-harvest catfish supply chains. The observed long persistence of volatility in both supply channels suggests a fundamental level of uncertainty and risk in the catfish subsector over the studied period.

Suggested Citation

  • Bukenya, James O., 2017. "Assessment of Price Volatility in the Fisheries Sector in Uganda," Journal of Food Distribution Research, Food Distribution Research Society, vol. 48(1), March.
    • Handle: RePEc:ags:jlofdr:274572
    DOI: 10.22004/ag.econ.274572
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    References listed on IDEAS

    as
    1. Minot, Nicholas, 2014. "Food price volatility in sub-Saharan Africa: Has it really increased?," Food Policy, Elsevier, vol. 45(C), pages 45-56.
    2. Sukati, Mphumuzi, 2013. "Measuring Maize Price Volatility in Swaziland using ARCH/GARCH approach," MPRA Paper 51840, University Library of Munich, Germany.
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