Cyclical causalities between the U.S. wholesale beef and feed prices: A Markov-switching approach

Authors

DOI:

https://doi.org/10.17811/ebl.9.2.2020.135-145

Abstract

Abstract: This paper examines whether some major livestock feed prices as corn, sorghum, hay and barley play a leading role in the regime switching dynamics between two states of the beef price cycles and have nonlinear effects on wholesale beef market in the U.S. using time-varying transition probability Markov-switching autoregressive model (TVTP).  The study reveals that real wholesale beef price movement in the U.S. red meat market exhibits a nonlinear two regimes pattern. This evidence indicates that livestock feed prices provides some predicted power to the model of beef price regime switching and supports livestock feed prices contributing to whether the beef price levels remains in high-mean regime.

References

REFERENCES

Bekaert, G., & Hodrick, R. J. (2001). Expectations Hypotheses Tests. Journal of Finance, 56 (4), 1357-1394.

Ball, L., & Mankiw, N.G. (1994). Asymmetric Price Adjustment and economic Fluctuations. The Economic Journal, 104, 247-261.

Bastianin, A., Galeotti, M., & Manera, M. (2013). Biofuels and food prices: searching for the causal link. FEEM Working Paper No. 22.

Brunetti, C., Mariano, R. S., Scotti, C., & Tan, A. H. (2007). Markov switching GARCH models of currency turmoil in south-east Asia. Federal Reserve Board, International Finance Discussion Papers, No. 889.

Buckle, R.A., & Carlson, J.A. (2000). Inflation and asymmetric Price Adjustment. Review of Economics and Statistics, 82(1), 157-160.

Cai, J. (1994): A Markov model of switching-regime ARCH. Journal of Business & Economic Statistics, 12(3), 309–316.

Ceballos, F., Hernandez, M.A., Minot, N., & Robles, M. (2015). Grain Price and Volatility Transmission from International to Domestic Markets in Developing Countries. World Development, 94, 305-320.

Chen, X., Kontonikas, A., & Montagnoli, A. (2012). Asset prices, credit and the business cycle. Economic letters, 117, 857-861.

Cosslett, S. R., & Lee, L. F. (1985) Serial Correlation in Discrete Variable Models. Journal of Econometrics, 27, 79-97.

Diebold, F.X., Lee, J.H., & Weinbach, G. C. (1994) Regime switching with time-varying transition probabilities. In C. Hargreaves (ed.), Nonstationary Time Series Analysis and Cointegration, Oxford: Oxford University Press, 283-302.

Edwards, S., & Susmel, R. (2003): Interest-Rate Volatility in Emerging Markets. The Review of Economics and Statistics, 85(2), 328-348, May.

Engel, C., & Hakkio, C. S. (1993) Exchange rate regimes and volatility. Economic Review, Federal Reserve Bank of Kansas City, Q III, 43-58.

Filardo, A. (1994) Business-Cycle Phases and Their Transitional Dynamics. Journal of Business & Economic Statistics, 12(3), 299-308.

Geoffrey S. B. (2008): Livestock Feed Costs: Concerns and Options. CRS Report for Congress, www.research.policyarchive.org/18982.pdf

Goldfeld, S. M., & Quandt, R. E. (1973) A Markov Model for Switching Regressions. Journal of Econometrics, 1(1), 3–16.

Hamilton, J.D. (1989) A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57(2), 357-384. https://doi.org/10.2307/1912559

Hamilton, J. D., & Susmel, R. (1994) Autoregressive conditional heteroskedasticity and changes in regime. Journal of Econometrics, 64(1–2), 307–333.

Johnson, C. (2018) Feeding Market Beef, Colorado State University Cooperative Extension and Department of Animal Sciences, Retrieved January 14, 2019, from https://extension.unh.edu/resources/files/Resource002288_Rep3366.pdf

Lawrence J. D., Mintert, Anderson, J.D., & Anderson. D.P. (2008) Feed Grains and Livestock: Impacts on Meat Supplies and Prices. Choices, 23(2), 11-15.

Lee, L., & Porter, R. (1984) Switching Regression Models with Imperfect Sample Separation Information--With an Application on Cartel Stability. Econometrica, 52(2), 391-418.

Matsushima J.K. (1979) Classification of Feeds. In: Feeding Beef Cattle. Advanced Series in Agricultural Sciences, vol 7. Springer, Berlin,Heidelberg

Moolman, E. (2004). A Markov switching regime model of the South African business cycle. Economic Modelling, 21(4), 631-646

Moore, T., & Wang, P. (2007) Volatility in Stock Returns for New EU Member States: Markov Regime Switching Model. International Review of Financial Analysis, 16, 282-292.

Reyes-Heroles, & R.,Tenorio, G. (2017) Interest Rate Volatility and Sudden Stops: An Empirical Investigation. International Finance Discussion Papers, 1209. Retrieved on 02/02/2019 from https://www.federalreserve.gov/econres/ifdp/files/ifdp1209.pdf

Schulte, H., & Musshoff, O. (2018) Market Structure of the Feed Industry in Germany: Causing Asymmetric Spatial Price Transmission? Journal of Agricultural & Food Industrial Organization, 17(1), Retrieved 18 Mar. 2019, from doi:10.1515/jafio-2018-0007

Tejeda, H.A., & Goodwin, B. K. (2009) Price volatility, nonlinearity and asymmetric adjustments in corn, soybean and cattle markets: implication of ethanol-driven shocks. Proceedings of the NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management. St. Louis, MO.

U.S. Department of Agriculture (2019) Agriculture Products Price Index. Available at https://www.usda.gov/topics/data

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Published

11-03-2020

How to Cite

Ozdemir, D. (2020). Cyclical causalities between the U.S. wholesale beef and feed prices: A Markov-switching approach. Economics and Business Letters, 9(2), 135–145. https://doi.org/10.17811/ebl.9.2.2020.135-145

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Articles