The impact of financial speculation on futures contracts price movements: A study of the US markets for dairy commodities
DOI:
https://doi.org/10.24136/eq.2023.021Keywords:
commodity futures contracts, dairy commodity futures, financial speculation, return volatility, GARCHAbstract
Research background: The study analyzes whether financial speculation destabilizes commodity prices in light of recent price volatility and spikes in agricultural commodities. The study delves deeper into the US dairy futures markets, which are less studied by other authors in their research and relatively new in comparison to other agricultural commodity markets. These dairy commodity futures contracts provide dairy businesses and farmers the chance to hedge against price risks, which are particularly crucial in uncertain economic times such as the post-2020 COVID-19 pandemic timeframe. The analysis makes use of the weekly returns on futures contracts for nonfat milk powder, butter, milk class III, and cheese that are obtained from the Chicago Mercantile Exchange (CME).
Purpose of the article: Conduct an empirical study to evaluate the effect of financial speculation on dairy product prices on US commodity markets, including the post-2020 timeframe.
Methods: Time series analysis is used in the investigation: the generalized auto-regressive conditional heteroskedasticity (GARCH) method, the Granger causality test, and the Augmented Dickey-Fuller (ADF) test.
Findings & value added: Our analysis's findings show that, even though most commodities experienced an increase in return volatility during the post-2020 period, there is no evidence for financial speculation being the cause of increased returns from dairy futures contracts. The research also suggests that financial speculation, in some cases, even lowers the volatility of dairy futures prices. Therefore, non-commercial market participants may help to distribute price risks, making these markets more liquid.
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Algieri, B., & Leccadito, A. (2019). Price volatility and speculative activities in futures commodity markets: A combination of combinations of p-values test. Journal of Commodity Markets, 13, 40–54.
DOI: https://doi.org/10.1016/j.jcomm.2018.05.008
View in Google Scholar
Apergis, N., Chatziantoniou, I., & Cooray, A. (2020). Monetary policy and commodity markets: Unconventional versus conventional impact and the role of economic uncertainty. International Review of Financial Analysis, 71, 101536.
DOI: https://doi.org/10.1016/j.irfa.2020.101536
View in Google Scholar
Baines, J. (2017). Accumulating through food crisis? Farmers, commodity traders and the distributional politics of financialization. Review of International Political Economy, 24(3), 497–537.
DOI: https://doi.org/10.1080/09692290.2017.1304434
View in Google Scholar
Basak, S., & Pavlova, A. (2016). A model of financialization of commodities. Journal of Finance, 71(4), 1511–1556.
DOI: https://doi.org/10.1111/jofi.12408
View in Google Scholar
Behmiri, N. B., Manera, M., & Nicolini, M. (2019). Understanding dynamic conditional correlations between oil, natural gas and non-energy commodity futures markets. Energy Journal, 40(2), 55–76.
DOI: https://doi.org/10.5547/01956574.40.2.nbeh
View in Google Scholar
Białkowski, J., & Koeman, J. (2018). Does the design of spot markets matter for the success of futures markets? Evidence from dairy futures. Journal of Futures Markets, 38(3), 373–389.
DOI: https://doi.org/10.1002/fut.21883
View in Google Scholar
Boateng, E., Asafo-Adjei, E., Gatsi, J. G., Gherghina, Ş. C., & Simionescu, L. N. (2022). Multifrequency-based non-linear approach to analyzing implied volatility transmission across global financial markets. Oeconomia Copernicana, 13(3), 699–743.
DOI: https://doi.org/10.24136/oc.2022.021
View in Google Scholar
Bohl, M. T., & Sulewski, C. (2019). The impact of long-short speculators on the volatility of agricultural commodity futures prices. Journal of Commodity Markets, 16, 100085.
DOI: https://doi.org/10.1016/j.jcomm.2019.01.001
View in Google Scholar
Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327.
DOI: https://doi.org/10.1016/0304-4076(86)90063-1
View in Google Scholar
Bonnier, J. B. (2021). Speculation and informational efficiency in commodity futures markets. Journal of International Money and Finance, 117, 102457.
DOI: https://doi.org/10.1016/j.jimonfin.2021.102457
View in Google Scholar
Borgards, O., & Czudaj, R. L. (2022). Long‐short speculator sentiment in agricultural commodity markets. International Journal of Finance & Economics, 55, 1–26.
View in Google Scholar
Breman, C., & Storm, S. (2023). Betting on black gold: Oil speculation and US inflation (2020–2022). International Journal of Political Economy, 52(2), 153–180.
DOI: https://doi.org/10.1080/08911916.2023.2238565
View in Google Scholar
Brunetti, C., Büyükşahin, B., & Harris, J. H. (2016). Speculators, prices, and market volatility. Journal of Financial and Quantitative Analysis, 51(5), 1545–1574.
DOI: https://doi.org/10.1017/S0022109016000569
View in Google Scholar
Conrad, C. (2023). Speculation in food and commodities a research report: A critical discussion of the econometric research method and an alternative analysis. International Journal of Economics and Finance, 15(6), 14–26.
DOI: https://doi.org/10.5539/ijef.v15n6p14
View in Google Scholar
Czudaj, R. L. (2019). Dynamics between trading volume, volatility and open interest in agricultural futures markets: A Bayesian time-varying coefficient approach. Econometrics and Statistics, 12, 78–145.
DOI: https://doi.org/10.1016/j.ecosta.2019.05.002
View in Google Scholar
da Silveira, R. L. F., dos Santos Maciel, L., Mattos, F. L., & Ballini, R. (2017). Volatility persistence and inventory effect in grain futures markets: Evidence from a recursive model. Revista de Administração, 52(4), 403–418.
DOI: https://doi.org/10.1016/j.rausp.2017.08.003
View in Google Scholar
Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427–431.
DOI: https://doi.org/10.1080/01621459.1979.10482531
View in Google Scholar
Du, X., & Dong, F. (2016). Responses to market information and the impact on price volatility and trading volume: The case of Class III milk futures. Empirical Economics, 50(2), 661–678.
DOI: https://doi.org/10.1007/s00181-015-0933-z
View in Google Scholar
Ekeland, I., Lautier, D., & Villeneuve, B. (2019). Hedging pressure and speculation in commodity markets. Economic Theory, 68(1), 83–123.
DOI: https://doi.org/10.1007/s00199-018-1115-y
View in Google Scholar
Etienne, X. L., Irwin, S. H., & Garcia, P. (2018). Speculation and corn prices. Applied Economics, 50(44), 4724–4744.
DOI: https://doi.org/10.1080/00036846.2018.1466992
View in Google Scholar
Fan, J. H., Mo, D., & Zhang, T. (2022). The “necessary evil” in Chinese commodity markets. Journal of Commodity Markets, 25, 100186.
DOI: https://doi.org/10.1016/j.jcomm.2021.100186
View in Google Scholar
Fan, Z., Jump, J., Tse, Y., & Yu, L. (2023). Volatility in US dairy futures markets. Journal of Commodity Markets, 29, 100309.
DOI: https://doi.org/10.1016/j.jcomm.2022.100309
View in Google Scholar
Fernandez-Perez, A., Frijns, B., Gafiatullina, I., & Tourani-Rad, A. (2022). Profit margin hedging in the New Zealand dairy farming industry. Journal of Commodity Markets, 26, 100197.
DOI: https://doi.org/10.1016/j.jcomm.2021.100197
View in Google Scholar
Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society, 37(3), 424–438.
DOI: https://doi.org/10.2307/1912791
View in Google Scholar
Guo, J., Long, S., & Luo, W. (2022). Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas. International Review of Financial Analysis, 83, 102286.
DOI: https://doi.org/10.1016/j.irfa.2022.102286
View in Google Scholar
Haase, M., & Huss, M. (2018). Guilty speculators? Range-based conditional volatility in a cross-section of wheat futures. Journal of Commodity Markets, 10, 29–46.
DOI: https://doi.org/10.1016/j.jcomm.2017.10.001
View in Google Scholar
Huchet, N., & Fam, P. G. (2016). The role of speculation in international futures markets on commodity prices. Research in International Business and Finance, 37, 49–65.
DOI: https://doi.org/10.1016/j.ribaf.2015.09.034
View in Google Scholar
Kang, W., Tang, K., & Wang, N. (2023). Financialization of commodity markets ten years later. Journal of Commodity Markets, 30, 100313.
DOI: https://doi.org/10.1016/j.jcomm.2023.100313
View in Google Scholar
Lawson, J., Alam, R., & Etienne, X. (2021). Speculation and food-grain prices. Applied Economics, 53(20), 2305–2321.
DOI: https://doi.org/10.1080/00036846.2020.1859451
View in Google Scholar
Long, S., & Guo, J. (2022). Infectious disease equity market volatility, geopolitical risk, speculation, and commodity returns: Comparative analysis of five epidemic outbreaks. Research in International Business and Finance, 62, 101689.
DOI: https://doi.org/10.1016/j.ribaf.2022.101689
View in Google Scholar
Palazzi, R. B., Pinto, A. C. F., Klotzle, M. C., & De Oliveira, E. M. (2020). Can we still blame index funds for the price movements in the agricultural commodities market?. International Review of Economics & Finance, 65, 84–93.
DOI: https://doi.org/10.1016/j.iref.2019.10.001
View in Google Scholar
Samak, N., Hosni, R., & Kamal, M. (2020). Relationship between spot and futures prices: The case of global food commodities. African Journal of Food, Agriculture, Nutrition and Development, 20(3), 15800–15820.
DOI: https://doi.org/10.18697/ajfand.91.18620
View in Google Scholar
Sifat, I., Ghafoor, A., & Mand, A.A. (2021). The COVID-19 pandemic and speculation in energy, precious metals, and agricultural futures. Journal of Behavioral and Experimental Finance, 30, 100498.
DOI: https://doi.org/10.1016/j.jbef.2021.100498
View in Google Scholar
Ulusoy, V., & Onbirler, Ö. Ü. (2017). Marginal speculation and hedging in commodity markets. Finance Research Letters, 23, 269–282.
DOI: https://doi.org/10.1016/j.frl.2017.07.020
View in Google Scholar
Umar, Z., Gubareva, M., & Teplova, T. (2021). The impact of Covid-19 on commodity markets volatility: Analyzing time-frequency relations between commodity prices and coronavirus panic levels. Resources Policy, 73, 102164.
DOI: https://doi.org/10.1016/j.resourpol.2021.102164
View in Google Scholar
Wang, Q., Cheng, R., & Xu, W. (2023). Assessing volatility spillover effect between international milk powder and China’s raw milk markets in the context of import growth. Cogent Food & Agriculture, 9(1), 2253715.
DOI: https://doi.org/10.1080/23311932.2023.2253715
View in Google Scholar
Wellenreuther, C., & Voelzke, J. (2019). Speculation and volatility—A time‐varying approach applied on Chinese commodity futures markets. Journal of Futures Markets, 39(4), 405–417.
DOI: https://doi.org/10.1002/fut.21984
View in Google Scholar
Wimmer, T., Geyer-Klingeberg, J., Hütter, M., Schmid, F., & Rathgeber, A. (2021). The impact of speculation on commodity prices: A Meta-Granger analysis. Journal of Commodity Markets, 22, 100148.
DOI: https://doi.org/10.1016/j.jcomm.2020.100148
View in Google Scholar
Working, H. (1960). Speculation on hedging markets. Food Research Institute Studies, 1(2), 185–220.
View in Google Scholar
Xiao, J., & Wang, Y. (2022). Macroeconomic uncertainty, speculation, and energy futures returns: Evidence from a quantile regression. Energy, 241, 122517.
DOI: https://doi.org/10.1016/j.energy.2021.122517
View in Google Scholar
Xiao, J., Wen, F., & He, Z. (2023). Impact of geopolitical risks on investor attention and speculation in the oil market: Evidence from nonlinear and time-varying analysis. Energy, 267, 126564.
DOI: https://doi.org/10.1016/j.energy.2022.126564
View in Google Scholar
Yuan, X., Tang, J., Wong, W. K., Sriboonchitta, S. (2020). Modeling co-movement among different agricultural commodity markets: A Copula-GARCH approach. Sustainability, 12(1), 393.
DOI: https://doi.org/10.3390/su12010393
View in Google Scholar
Zeng, H., Lu, R., & Ahmed, A. D. (2023). Dynamic dependencies and return connectedness among stock, gold and Bitcoin markets: Evidence from South Asia and China. Equilibrium. Quarterly Journal of Economics and Economic Policy, 18(1), 49–87.
DOI: https://doi.org/10.24136/eq.2023.002
View in Google Scholar
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