Analysis of meat price volatility and volatility spillovers in Finland Abdallah M., Fekete Farkas M., Lakner Z. (2020): Analysis of meat price volatility and volatility spillovers in Finland. Agric. Econ. – Czech, 66: 84-91.
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Unforeseen important changes in price can present a significant risk in the market. The price fluctuation of agricultural commodities has raised concern for studying the volatility of different agricultural products. A persistent volatility in prices causes continued uncertainty in the market. Higher price volatility is to be mitigated by higher management costs and the higher cost of risk mitigation is often converted into higher producer prices. The aim of this paper is to investigate the price volatility of producer and consumer meat prices and to capture the volatility spillover along the Finnish meat supply chain. The Generalised Autoregressive Conditional Heteroskedasticity – Baba, Engle, Kraft and Kroner (GARCH-BEKK) model is applied to analyse shocks and volatilities of the prices and to estimate whether the price volatility is flowing from the first price level (producer) to the second price level (consumer), using monthly price indices. An asymmetric volatility spillover effect was detected in the poultry meat and a unidirectional, volatility spillover effect, from consumer to producer, is observed for pork prices. The findings of this study could serve as a tool for forecasting meat producer and consumer prices, which could assist the Finnish government with endorsing policy options to alleviate the price volatility impact, to protect both consumers and producers from its negative effects.

Aalto-Setälä V. (2002): The effect of concentration and market power on food prices: evidence from Finland. Journal of Retailing, 78: 207–216.
Alexandri C. (2011): Analysis of price transmission along the agri-food chains in Romania. Agricultural Economics and Rural Development, 8: 171–189.
Bojnec Š., Fertő I. (2019): Do CAP subsidies stabilise farm income in Hungary and Slovenia? Agricultural Economics – Czech, 65: 103–111.
Bollerslev T. (1986): Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31: 307–327.
Bórawski P., Belłdycka-Borawska A., Dunn J.W. (2018): Price volatility of Polish agricultural commodities in the view of the Common Agricultural Policy. Agricultural Economics, 64: 216–226.
Emenike K.O. (2018): Exchange rate volatility in West African countries: is there a shred of spillover? International Journal of Emerging Markets, 13: 1457–1474.
Engle R.F. (1982): Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica: Journal of the Econometric Society, 50: 987–1007.
Engle R.F., Kroner K.F. (1995): Multivariate simultaneous generalized ARCH. Econometric Theory, 11:122–150.
Huan-Niemi E., Niemi J., Rikkonen P., Wuori O., Niemi J. (2017): Anticipating the future of Finnish agrifood sector by using alternative research methods. Journal of Food Products Marketing, 23: 489–503.
Gocht A., Ciaian P., Bielza M., Terres J.M., Röder N., Himics M., Salputra G. (2017): EU-wide economic and environmental impacts of CAP greening with high spatial and farm-type detail. Journal of Agricultural Economics, 68: 651–681.
Irz X., Liu X. (2016): Measuring the market power of Finnish food retailers. Suomen Maataloustieteellisen Seuran Tiedote, 33: 1–7.
Lehtonen H. (2004): Impact of de-coupling agricultural support on dairy investment and milk production volume in Finland. Acta Agriculturae Scandinavica, Section C, Food Economics, 1: 46–62.
Lehtonen H.S., Irz X. (2013): Impacts of reducing red meat consumption on agricultural production in Finland. Agricultural and Food Science, 22: 356–370.
Luoma A., Luoto J., Taipale M. (2004): Threshold cointegration and asymmetric price transmission in Finnish beef and pork markets. Helsinki, Pellervo Economic Research Institute.
Lydgate E., Winters L.A. (2019): Deep and not comprehensive? What the WTO rules permit for a UK-EU FTA. World Trade Review, 18: 451–479.
Mohammadi H., Tan Y. (2015): Return and volatility spillovers across equity markets in Mainland China, Hong Kong and the United States. Econometrics, 3: 215–232.
Musunuru N. (2014): Modeling price volatility linkages between corn and wheat: a multivariate GARCH estimation. International Advances in Economic Research, 20: 269–280.
Niemi J., Kettunen L. (2018): Modelling the impacts of alternative CAP reform scenarios on Finnish agriculture. In: Proceedings 152nd Seminar of European Association of Agricultural Economists, Budapest, April 26–27, 2018.
Official Statistics of Finland (OSF) (2018): Annual national accounts. In: Historical Time Series: National Accounts. Statistics Finland, Helsinki. Available at:
Phillips P.C., Perron P. (1988): Testing for a unit root in time series regression. Biometrika, 75: 335–346.
Piot-Lepetit I., M’Barek R. (2011): Methods to analyse agricultural commodity price volatility. In: Methods to Analyse Agricultural Commodity Price Volatility. New York, Springer: 1–11.
Rezitis A. (2003): Mean and volatility spillover effects in Greek producer-consumer meat prices. Applied Economics Letters, 10: 381–384.
Rezitis A.N. (2012): Modeling and decomposing price volatility in the Greek meat market. International Journal of Computational Economics and Econometrics, 2: 197–222.
Rezitis A.N. (2018): Empirical analysis of price relations along the Finnish supply chain of selected meat, dairy, and egg products: A dynamic panel data approach. Agribusiness, 34: 542–561.
Said S.E., Dickey D.A. (1984): Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71: 599–607.
Silvennoinen A., Teräsvirta T. (2009): Multivariate GARCH models. In: Handbook of Financial Time Series. Berlin, Heidelberg, Springer: 201–229.
Sorrentino A., Henke R. (2016): The CAP Reform Process in Perspective: Issues of the Post-2013 Debate. The Common Agricultural Policy after the Fischler Reform. Routledge: 41–50.
Toikkanen H., Niemi J. (2014): Vertical price transmission in the Finnish food sector. In: Proceedings: International Congress of European Association of Agricultural Economists, Ljubljana, Slovenia, August 26–29, 2014.
Veerman C.P., Cabrero V., Babuchowski A., Bedier J., Calzolari G., Dobbin D., Fresco L.O., Giesen H., Iwarson T., Juhasz A., Paumier A.L., Šarmír I. (2016): Improving market outcomes, enhancing the position of farmers in the supply chain. Report of the Agricultural Markets Task Force, Brussels, 2016.
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