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Risk assessment of shock periods and investment attractiveness of agroholdings of Ukraine

Author

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  • Klymenko, Nataliia
  • Voronenko, Iryna
  • Nehrey, Maryna
  • Rogoza, Konstyantyn
  • Rogoza, Nataliy

Abstract

Purpose. This paper deals with analysis and assessment of the risks specific to the agricultural business under conditions of macroeconomic uncertainty associated with the war unleashed by russia on the territory of Ukraine. The performed study included the stability analysis of the agricultural holdings in Ukraine before and after the shock period, and their investment attractiveness. Methodology / approach. In the research process, a combination of methods of risk analysis of Ukrainian agricultural holdings during the shock period and the speed of recovery of their investment attractiveness was proposed. Daily stock rates of selected agricultural holdings served as information support for calculations. The sample was subdivided into three periods: before the shock, which was characterized by a certain level of stability; the shock period caused by the war; and the recovery period after the shock. The study was carried out with the use of the shock depth indication and the recovery level following the shock, the risk analysis based on VaR and CVaR approach and forecasting of further liquidity curve of the agricultural producers based on Holt-Winters’ model. Results. The depth of the fall in the shock period (Sd) and the level of recovery after the shock period (Rl) for agricultural holdings of Ukraine have been established. The Sd indicator ranged from -44 % to 71 %, and Rl averaged 56 %, which confirmed the insignificant level of recovery of capitalization of agricultural holdings. Positive trends of overcoming the shock period were established for all studied agricultural holdings of Ukraine. A significant difference in the liquidity of assets of agricultural holdings was revealed. Originality / scientific novelty. The originality of the research is the approbation of a set of methods that allow simultaneously considering various features of the manifestation of risks caused by russian full-scale armed aggression. Practical value / implications. The practical value of the research lies in the determination of the negative impact of the risks of shock periods and the assessment of the investment attractiveness of agricultural holdings, which can be used for decision-making. The proposed approaches can be recommended for the analysis of other agricultural enterprises and for potential investors in other periods of significant changes and in the post-war period.

Suggested Citation

  • Klymenko, Nataliia & Voronenko, Iryna & Nehrey, Maryna & Rogoza, Konstyantyn & Rogoza, Nataliy, . "Risk assessment of shock periods and investment attractiveness of agroholdings of Ukraine," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(2).
    • Handle: RePEc:ags:areint:337439
    DOI: 10.22004/ag.econ.337439
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    References listed on IDEAS

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    1. Peter R. Winters, 1960. "Forecasting Sales by Exponentially Weighted Moving Averages," Management Science, INFORMS, vol. 6(3), pages 324-342, April.
    2. Thomas Glauben & Miranda Svanidze & Linde Götz & Sören Prehn & Tinoush Jamali Jaghdani & Ivan Đurić & Lena Kuhn, 2022. "The War in Ukraine, Agricultural Trade and Risks to Global Food Security," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 57(3), pages 157-163, May.
    3. Oleksii Mohylnyi & Nataliia Patyka & Anatolii Kucher & Vitaliy Krupin & Agnieszka Siedlecka & Marcin Wysokiński, 2022. "Features of Agrarian Sector Deregulation in the Context of Martial Law: Shocks in Food Security," Sustainability, MDPI, vol. 14(20), pages 1-26, October.
    4. Voronenko, Iryna & Skrypnyk, Andriy & Klymenko, Nataliia & Zherlitsyn, Dmytro & Starychenko, Yevhenii, . "Food security risk in Ukraine: assessment and forecast," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 6(4).
    5. Dibrova, Anatolii & Dibrova, Larysa & Chmil, Alla & Dibrova, Maksym & Нuz, Mykhailo, . "Modeling the impact of mineral fertilizer costs on effectiveness of production and export corn from Ukraine," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 8(3).
    6. Racicot, François-Éric & Théoret, Raymond, 2016. "Macroeconomic shocks, forward-looking dynamics, and the behavior of hedge funds," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 41-61.
    7. Paul, Pascal, 2020. "A macroeconomic model with occasional financial crises," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    8. Daniel Fiott, 2022. "The Fog of War: Russia’s War on Ukraine, European Defence Spending and Military Capabilities," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 57(3), pages 152-156, May.
    9. Alison Bentley, 2022. "Broken bread — avert global wheat crisis caused by invasion of Ukraine," Nature, Nature, vol. 603(7902), pages 551-551, March.
    10. Giuseppe Celi & Dario Guarascio & Jelena Reljic & Annamaria Simonazzi & Francesco Zezza, 2022. "The Asymmetric Impact of War: Resilience, Vulnerability and Implications for EU Policy," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 57(3), pages 141-147, May.
    11. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    12. Saskia Osendarp & Gerda Verburg & Zulfiqar Bhutta & Robert E. Black & Saskia de Pee & Cecilia Fabrizio & Derek Headey & Rebecca Heidkamp & David Laborde & Marie T. Ruel, 2022. "Act now before Ukraine war plunges millions into malnutrition," Nature, Nature, vol. 604(7907), pages 620-624, April.
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    1. Nehrey, Maryna & Klymenko, Nataliia & Kravchenko, Volodymyr & Komar, Mariana, . "Ukrainian agriculture during the full-scale Russian-Ukrainian war: consequences, policy responses and recovery strategies," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 11(2).

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