MODELING PROFITABILITY AND RISK IN WHEAT PRODUCTION: A MONTE CARLO APPROACH

VI international scientific conference Sustainable agriculture and rural development, 11-12. 12. 2025, Belgrade  [pp. 383-392]

 

AUTHOR(S) / AUTOR(I): Saša Todorović , Sanjin Ivanović   

 
Download Full Pdf   

DOI: https://doi.org/10.46793/zbIEP25.383T

ABSTRACT / SAŽETAK:

Having in mind an importance of wheat production for Serbian agriculture, it is necessary to explore its level of riskiness and profitability. The goal of this research was to discuss these topics based on data describing variability of key influential components, such as market price and yield of wheat. Based on relevant statistical data for Province of Vojvodina (covering period from 2010 to 2024) log-normal distribution was applied to model wheat price and yield changes. Monte Carlo simulation was performed to determine profitability and risk in wheat production. It was concluded that expected median profit and mean profit in wheat production have negative values. The risk in wheat production proves to be very high, i.e., there is 96.8% probability of achieving negative outcome (producers would suffer losses). The result proved that Monte Carlo simulation performed well, although actual loss was smaller than loss estimated by the simulation.

KEYWORDS / KLJUČNE REČI: 

Wheat production, profit, risk, log-normal distribution, Monte Carlo simulation

ACKNOWLEDGEMENT / PROJEKAT:

This paper is a result of the research funded by the Ministry of Science, Technological Development and Innovations of the Republic of Serbia based on the agreement between the Ministry and the Faculty of Agriculture, University of Belgrade (Contract no. 451- 03-137/2025-03/200116) on the realization and financing of scientific research in 2023.

REFERENCES / LITERATURA:

  • Amorim, F.R. d., Guimarães, C. C., Afonso, P., & Tobias, M. S. G. (2024). Forecasting cost risks of corn and soybean crops through Monte Carlo simulation. Applied Sciences, 14, 8030.
  • Fan, R.(2001). Deriving implied distributions from commodity option prices: An application to soybean, corn and wheat using mixture of lognormals. Michigan State University.
  • Ignjatijević, S., Čavlin, M., & Jahić, M. (2018). The impact of relevant factors on wheat supply and demand in the Republic of Ekonomika poljoprivrede, 65(1), 143-156.
  • Ivanović, S., & Marković, T. (2018). Upravljanje investicijama u agrobiznisu. Poljoprivredni fakultet, Univerzitet u Beogradu, Srbija.
  • Ivanović, S., Bratić, S. & Ivanović, L. (2007b). Minimizacija troškova stočne hrane u uslovima rizika. Međunarodni naučni skup «Multifunkcionalna poljoprivreda i ruralni razvoj (II) – očuvanje ruralnih vrednosti», Tematski zbornik, druga knjiga, Beograd – Beočin, 6 – 7. Decembar 2007., 1021-1028.
  • Ivanović, S., Jeločnik, M. & Ivanović, L. (2007a). Improvement of Animal Food Production as a Factor of Rural Development. Dezvoltarea Durabila a Spatiului Rural, Conferinta internationala, Bucuresti, 15 – 16 iunie, Academia De Studii Economice Din Bucuresti Romania, 125-131.
  • Javadi, A., Ghahremanzadeh, M., Sassi, M., Javanbakht, O., & Hayati,
  • (2023). Impact of climate variables change on the yield of wheat and rice crops in Iran (application of stochastic model based on Monte Carlo simulation). Computational Economics, 63, 983-1000.
  • Jeločnik, M., Subić, J., Nastić, L. (2021). Upravljanje troškovima na poljoprivrednim gazdinstvima. Monografija. Institut za ekonomiku poljoprivrede, Beograd.
  • Kovačević, D., Dolijanović, Ž., Oljača, S., & Milić, V. (2007). Organska proizvodnja alternativnih vrsta ozime pšenice. Poljoprivredna tehnika, 32(4), 39-45.
  • Marković, T., & Jovanović, M. (2011). Uticaj količine padavina na prinos pšenice i kukuruza kao proizvodni bazni rizik. Ratarstvo i povrtarstvo, 48(1), 207-212.
  • Miljatović, A., Tomaš-Simin, M., & Vukoje, V. (2018). Ekonomičnost proizvodnje žitarica u organskom sistemu gajenja. Letopis naučnih radova, 42(2), 49-57.
  • Popović, R., & Kovljenić, M. (2017). Efficiency of wheat production in Republic of Serbia. Ekonomika poljoprivrede, 64(4), 1499-1511.
  • Statistical Office of the Republic of https://www.stat.gov.rs/
  • Stokes, J. R. (2000). A derivative security approach to setting crop revenue coverage insurance premiums. Journal of Agricultural and Resource Economics, 25(1), 159–176.
  • Tirupattur, V., Hauser, R. J., & Chaherli, N. M. (1996). Crop yield and price distributional effects on revenue hedging. Working paper series: Ofice of Futures and Options Research (No. 96–05).
  • Todorović, S.,&Filipović, N. S.(2010). Economic analysis of wheat production on family farms. Journal of Agricultural Sciences (Belgrade), 55(1), 79-87.
  • Todorović, S., Vasiljević, Z., & Popović, N. (2010). Economic effects of the application of new types of machines and tools for the arrangement of soil’s surface and depth in wheat production. Poljoprivredna tehnika, 35(4), 93-101.