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Global food and energy markets: volatility transmission and impulse response effects

Author

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  • Onour, Ibrahim
  • Sergi, Bruno

Abstract

This paper investigates volatility spillover across crude oil market and wheat and corn markets. The corn commodity is taken here to assess the impact of change in demand for biofuel on wheat market. Results of multivariate GARCH model show evidence of corn price volatility transmission to wheat market . Our results indicate that while shocks (unexpected news) in crude oil market have significant impact on volatility in wheat and corn markets, the effect of crude oil price changes on corn and wheat markets is insignificant. The impulse response analysis indicate shocks in oil markets have permanent effect on food commodity price changes. Also indicated that fertilizers markets influenced by own-shocks and shocks in oil markets.

Suggested Citation

  • Onour, Ibrahim & Sergi, Bruno, 2011. "Global food and energy markets: volatility transmission and impulse response effects," MPRA Paper 34079, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:34079
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    File URL: https://mpra.ub.uni-muenchen.de/34079/1/MPRA_paper_34079.pdf
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    References listed on IDEAS

    as
    1. Bollerslev, Tim & Ole Mikkelsen, Hans, 1996. "Modeling and pricing long memory in stock market volatility," Journal of Econometrics, Elsevier, vol. 73(1), pages 151-184, July.
    2. Robert Engle, 2002. "New frontiers for arch models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 425-446.
    3. Ibrahim Onour, "undated". "Forecasting Volatility in Global Food Commodity Prices," API-Working Paper Series 1101, Arab Planning Institute - Kuwait, Information Center.
    4. Du, Xiaodong & Yu, Cindy L. & Hayes, Dermot J., 2011. "Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis," Energy Economics, Elsevier, vol. 33(3), pages 497-503, May.
    5. Ibrahim A. Onour, 2010. "Global food crisis and crude oil price changes: Do they share common cyclical features?," International Journal of Economic Policy in Emerging Economies, Inderscience Enterprises Ltd, vol. 3(1), pages 61-70.
    6. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Lee , Hyun-Hoon & Park, Cyn-Young, 2013. "International Transmission of Food Prices and Volatilities: A Panel Analysis," ADB Economics Working Paper Series 373, Asian Development Bank.
    2. Serra, Teresa & Zilberman, David, 2013. "Biofuel-related price transmission literature: A review," Energy Economics, Elsevier, vol. 37(C), pages 141-151.
    3. Lochhead, Kyle & Ghafghazi, Saeed & Havlik, Petr & Forsell, Nicklas & Obersteiner, Michael & Bull, Gary & Mabee, Warren, 2016. "Price trends and volatility scenarios for designing forest sector transformation," Energy Economics, Elsevier, vol. 57(C), pages 184-191.
    4. Nicholas Apergis & Sofia Eleftheriou & Dimitrios Voliotis, 2017. "Asymmetric Spillover Effects between Agricultural Commodity Prices and Biofuel Energy Prices," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 166-177.

    More about this item

    Keywords

    Volatility; global food; impulse response;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy

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