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Oil Prices, Exchange Rate and Prices for Agricultural Commodities: Empirical Evidence from Russia

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Abstract

In this paper, we investigate long and short-term impact of changes in oil prices and the exchange rate on prices of seven groups of agricultural products in Russia (buckwheat, grain crops, potatoes, oat, wheat, rye, barley). In this paper, Granger causality approach is applied to test long-run interlinkages with monthly data from January 1999 to October 2015. For testing the response of agricultural prices to sudden shocks in oil prices and exchange rate in the short run, we use impulse-response techniques. The results of impulse response analysis show that agricultural prices are not particularly sensitive to changes in oil prices and the exchange rate of Russian ruble in the short term, except for imported commodities. In the long run, Granger causal relationship between agricultural prices and oil prices is missing, and with exchange rate is observed only in case of imported agricultural goods.

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  • Burakov, D., 2016. "Oil Prices, Exchange Rate and Prices for Agricultural Commodities: Empirical Evidence from Russia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 8(2), pages 1-15, June.
    • Handle: RePEc:ags:aolpei:241368
    DOI: 10.22004/ag.econ.241368
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    Cited by:

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    2. Yugay, Stanislav & Götz, Linde & Svanidze, Miranda, 2020. "Exchange Rate Pass-through and Wheat Prices in Russia," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305595, German Association of Agricultural Economists (GEWISOLA).
    3. Wei Su, Chi & Wang, Xiao-Qing & Tao, Ran & Oana-Ramona, Lobonţ, 2019. "Do oil prices drive agricultural commodity prices? Further evidence in a global bio-energy context," Energy, Elsevier, vol. 172(C), pages 691-701.
    4. Loginova, Daria, 2022. "Assessing the Short-term Effect of Exchange Rate Liberalisation on Food Import Prices: The Regression Discontinuity in Time Employed for Russian Food Markets in 2014," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 3(3), September.
    5. Burakov, D. & Freidin, M., 2018. "Is the Halloween Effect Present on the Markets for Agricultural Commodities?," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(2).
    6. Tan Ngoc Vu & Chi Minh Ho & Thang Cong Nguyen & Duc Hong Vo, 2020. "The Determinants of Risk Transmission between Oil and Agricultural Prices: An IPVAR Approach," Agriculture, MDPI, vol. 10(4), pages 1-14, April.
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    8. Daria Loginova & Judith Irek, 2022. "Russian meat price transmission and policy interventions in 2014," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-28, December.
    9. Pasrun Adam & Rosnawintang Rosnawintang & La Ode Saidi & La Tondi & La Ode Arsad Sani, 2018. "The Causal Relationship between Crude Oil Price, Exchange Rate and Rice Price," International Journal of Energy Economics and Policy, Econjournals, vol. 8(1), pages 90-94.

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