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Making a Markowitz portfolio with agricultural commodity futures

Author

Listed:
  • Dejan Živkov

    (Novi Sad School of Business, University of Novi Sad, Novi Sad, Serbia)

  • Suzana Balaban

    (Faculty of Finances, Banking and Audit, Alfa University, Beograd, Serbia)

  • Marijana Joksimović

    (Faculty of Finances, Banking and Audit, Alfa University, Beograd, Serbia)

Abstract

This paper constructs a minimum-variance portfolio of six agricultural futures. We make a full sample analysis as well as a pre-COVID and COVID examination. Using Markowitz portfolio optimisation, we find that soybean futures have the highest share (31%) in the full sample portfolio because it has the lowest variance. Both soybean oil and rice futures have the second highest weight in the full sample portfolio, in an amount of 24%, because soybean oil has the second lowest variance, whereas rice has, by far, the lowest average correlation with other agricultural futures. Soybean oil has the highest share of 35% in the pre-COVID period, whereas rice follows with 27%. On the other hand, in the COVID period, soybean has a very high share in an amount of 47% due to the lowest risk, while rice takes second place with 19%. Based on the results, investors should invest the most in soybean oil and rice in tranquil periods, while the choice should be soybean and rice in crisis periods. Rice is the choice in both sub-periods because rice has a very low correlation with other agricultural commodities, which happens due to the price stabilisation of rice that is often conducted by Asian countries.

Suggested Citation

  • Dejan Živkov & Suzana Balaban & Marijana Joksimović, 2022. "Making a Markowitz portfolio with agricultural commodity futures," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(6), pages 219-229.
  • Handle: RePEc:caa:jnlage:v:68:y:2022:i:6:id:78-2022-agricecon
    DOI: 10.17221/78/2022-AGRICECON
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    1. C. Peter Timmer, 2014. "Food Security in Asia and the Pacific: The Rapidly Changing Role of Rice," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 1(1), pages 73-90, January.
    2. Huang, Wen & Huang, Zhuo & Matei, Marius & Wang, Tianyi, 2012. "Price Volatility Forecast for Agricultural Commodity Futures: The Role of High Frequency Data," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 83-103, December.
    3. Jose Arreola Hernandez & Sang Hoon Kang & Seong-Min Yoon, 2021. "Spillovers and portfolio optimization of agricultural commodity and global equity markets," Applied Economics, Taylor & Francis Journals, vol. 53(12), pages 1326-1341, March.
    4. Heung-Joo Cha & Thadavillil Jithendranathan, 2009. "Time-varying correlations and optimal allocation in emerging market equities for the US investors," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(2), pages 172-187.
    5. Fabio Gaetano Santeramo & Emilia Lamonaca, 2019. "On the drivers of global grain price volatility: an empirical investigation," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(1), pages 31-42.
    6. Mahdi Massahi & Masoud Mahootchi & Alireza Arshadi Khamseh, 2020. "Development of an efficient cluster-based portfolio optimization model under realistic market conditions," Empirical Economics, Springer, vol. 59(5), pages 2423-2442, November.
    7. Tereza Palanska, 2020. "Measurement of Volatility Spillovers and Asymmetric Connectedness on Commodity and Equity Markets," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 70(1), pages 42-69, February.
    8. Julyerme M. Tonin & Carlos M. R. Vieira & Rui M. de Sousa Fragoso & João G. Martines Filho, 2020. "Conditional correlation and volatility between spot and futures markets for soybean and corn," Agribusiness, John Wiley & Sons, Ltd., vol. 36(4), pages 707-724, October.
    9. Di Shang & Chang Yu & Gang Diao, 2021. "Study on Impacts of COVID-19 Pandemic Recession Based on Monte Carlo Simulation," Prague Economic Papers, Prague University of Economics and Business, vol. 2021(6), pages 724-747.
    10. Cong, Rong-Gang & Hedlund, Katarina & Andersson, Hans & Brady, Mark, 2014. "Managing soil natural capital: An effective strategy for mitigating future agricultural risks," MPRA Paper 112155, University Library of Munich, Germany.
    11. Rehman, Mobeen Ur & Bouri, Elie & Eraslan, Veysel & Kumar, Satish, 2019. "Energy and non-energy commodities: An asymmetric approach towards portfolio diversification in the commodity market," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    12. Amer Ait Sidhoum & Teresa Serra, 2016. "Volatility Spillovers in the Spanish Food Marketing Chain: The Case of Tomato," Agribusiness, John Wiley & Sons, Ltd., vol. 32(1), pages 45-63, January.
    13. Leyuan You & Robert T. Daigler, 2013. "A Markowitz Optimization of Commodity Futures Portfolios," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(4), pages 343-368, April.
    14. Mensi, Walid & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Multiscale spillovers, connectedness, and portfolio management among precious and industrial metals, energy, agriculture, and livestock futures," Resources Policy, Elsevier, vol. 74(C).
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    1. Pérez-Mesa, Juan Carlos & Pérez-Mesa, Fº Javier & Tapia-León, Juan José & Valera-Martínez, Diego, 2022. "Scheduling vegetable sales to supermarkets in Europe: The tomato case," MPRA Paper 119883, University Library of Munich, Germany.
    2. Juan Carlos Pérez-Mesa & Francisco Javier Pérez-Mesa & Juan José Tapia-León & Diego Luis Valera, 2022. "Scheduling vegetable sales to supermarkets in Europe: The tomato case," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(11), pages 403-412.

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