IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v218y2022ics016517652200266x.html
   My bibliography  Save this article

Valuation of European firms during the Russia–Ukraine war

Author

Listed:
  • Bougias, Alexandros
  • Episcopos, Athanasios
  • Leledakis, George N.

Abstract

We infer the asset value dynamics of European firms during the Russia–Ukraine war via the structural model of Merton (1974). Using high-frequency stock price data, we find that the war led to lower corporate security prices and higher asset volatility, eventually shifting asset values closer to the default region. On average, the balance sheet of European firms is expected to shrink by 2.05% and their 1-year default probability to increase from 0.32% to 2.12%. Regression analysis on asset and equity returns as well as default probability changes suggests that these effects are stronger for firms with large revenue exposure to Russia.

Suggested Citation

  • Bougias, Alexandros & Episcopos, Athanasios & Leledakis, George N., 2022. "Valuation of European firms during the Russia–Ukraine war," Economics Letters, Elsevier, vol. 218(C).
    • Handle: RePEc:eee:ecolet:v:218:y:2022:i:c:s016517652200266x
    DOI: 10.1016/j.econlet.2022.110750
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S016517652200266X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2022.110750?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Duffie, Darrell & Saita, Leandro & Wang, Ke, 2007. "Multi-period corporate default prediction with stochastic covariates," Journal of Financial Economics, Elsevier, vol. 83(3), pages 635-665, March.
    2. Boungou, Whelsy & Yatié, Alhonita, 2022. "The impact of the Ukraine–Russia war on world stock market returns," Economics Letters, Elsevier, vol. 215(C).
    3. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    4. Tosun, Onur Kemal & Eshraghi, Arman, 2022. "Corporate decisions in times of war: Evidence from the Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 48(C).
    5. Amelie Brune & Thorsten Hens & Marc Rieger & Mei Wang, 2015. "The war puzzle: contradictory effects of international conflicts on stock markets," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 62(1), pages 1-21, March.
    6. Suresh Sundaresan, 2013. "A Review of Merton’s Model of the Firm’s Capital Structure with Its Wide Applications," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 21-41, November.
    7. Deng, Ming & Leippold, Markus & Wagner, Alexander F. & Wang, Qian, 2022. "War and Policy: Investor Expectations on the Net-Zero Transition," CEPR Discussion Papers 17207, C.E.P.R. Discussion Papers.
    8. Benjamin Yibin Zhang & Hao Zhou & Haibin Zhu, 2009. "Explaining Credit Default Swap Spreads with the Equity Volatility and Jump Risks of Individual Firms," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5099-5131, December.
    9. Bruno Frey & Marcel Kucher, 2001. "Wars and Markets: How Bond Values Reflect the Second World War," Economica, London School of Economics and Political Science, vol. 68(271), pages 317-333, August.
    10. repec:bla:jfinan:v:59:y:2004:i:2:p:831-868 is not listed on IDEAS
    11. Choudhry, Taufiq, 2010. "World War II events and the Dow Jones industrial index," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 1022-1031, May.
    12. Jessen, Cathrine & Lando, David, 2015. "Robustness of distance-to-default," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 493-505.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. U, Tony Sio-Chong & Lin, Yongjia & Wang, Yizhi, 2024. "The impact of the Russia–Ukraine war on volatility spillovers," International Review of Financial Analysis, Elsevier, vol. 93(C).
    2. Umar, Zaghum & Bossman, Ahmed & Choi, Sun-Yong & Vo, Xuan Vinh, 2023. "Are short stocks susceptible to geopolitical shocks? Time-Frequency evidence from the Russian-Ukrainian conflict," Finance Research Letters, Elsevier, vol. 52(C).
    3. Oana Panazan & Catalin Gheorghe, 2024. "Impact of Geopolitical Risk on G7 Financial Markets: A Comparative Wavelet Analysis between 2014 and 2022," Mathematics, MDPI, vol. 12(3), pages 1-22, January.
    4. Liu, Wei & Chen, Xiao & Zhang, Jihong, 2023. "The Russia-Ukraine conflict and the automotive energy transition: Empirical evidence from China," Energy, Elsevier, vol. 284(C).
    5. Marta Anita Karaś & Michał Boda, 2024. "Stabilność i wyniki finansowe banków w krajach Europy graniczących z konfliktem militarnym w Ukrainie," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 64-111.
    6. Liang, Chao & Wang, Lu & Duong, Duy, 2024. "More attention and better volatility forecast accuracy: How does war attention affect stock volatility predictability?," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 1-19.
    7. Alcindo Neckel & M. Santosh & Brian William Bodah & Laércio Stolfo Maculan & Diana Pinto & Cleiton Korcelski & Paloma Carollo Toscan & Laura Pasa Cambrussi & Isadora Cezar Caino & Leila Dal Moro & Dir, 2022. "Using the Sentinel-3B Satellite in Geospatial Analysis of Suspended Aerosols in the Kiev, Ukraine Region," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    8. Zhang, Dongyang & Wang, Cao & Wang, Yizhi, 2024. "Unveiling the critical nexus: Volatility of crude oil future prices and trade partner’s cash holding behavior in the face of the Russia–Ukraine conflict," Energy Economics, Elsevier, vol. 132(C).
    9. Marjan Petreski, 2023. "The impact of the crisis induced by the conflict in Ukraine on firms in North Macedonia: Evidence from a micro-survey," Finance Think Policy Studies 2023-06/46, Finance Think - Economic Research and Policy Institute.
    10. Petreski Marjan, 2024. "The Impact of the Crisis Induced by the Conflict in Ukraine on Firms: Evidence from North Macedonia," South East European Journal of Economics and Business, Sciendo, vol. 19(1), pages 123-144.
    11. Countryman, Amanda M. & Litvinov, Valentyn & Kolodiazhnyi, Ivan & Bogonos, Mariia & Nivievskyi, Oleg, 2024. "Agricultural and Economywide Effects of the War in Ukraine," Commissioned Papers 344185, International Agricultural Trade Research Consortium.
    12. Piserà, Stefano & Chiaramonte, Laura & Paltrinieri, Andrea & Pichler, Flavio, 2024. "Firm systematic risk after the Russia–Ukraine invasion," Finance Research Letters, Elsevier, vol. 64(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiaoqing Fu & Matthew C. Li & Philip Molyneux, 2021. "Credit default swap spreads: market conditions, firm performance, and the impact of the 2007–2009 financial crisis," Empirical Economics, Springer, vol. 60(5), pages 2203-2225, May.
    2. Umar, Muhammad & Riaz, Yasir & Yousaf, Imran, 2022. "Impact of Russian-Ukraine war on clean energy, conventional energy, and metal markets: Evidence from event study approach," Resources Policy, Elsevier, vol. 79(C).
    3. Piotr Fiszeder & Marta Ma³ecka, 2022. "Forecasting volatility during the outbreak of Russian invasion of Ukraine: application to commodities, stock indices, currencies, and cryptocurrencies," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(4), pages 939-967, December.
    4. Daniel Dimitrov & Sweder van Wijnbergen, 2022. "Quantifying Systemic Risk in the Presence of Unlisted Banks: Application to the Dutch Financial Sector," Tinbergen Institute Discussion Papers 22-034/VI, Tinbergen Institute.
    5. Bijoy Chandra Das & Fakhrul Hasan & Soma Rani Sutradhar & Sujana Shafique, 2023. "Ukraine–Russia Conflict and Stock Markets Reactions in Europe," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 395-407, September.
    6. Pu, Xiaoling & Zhao, Xinlei, 2012. "Correlation in credit risk changes," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1093-1106.
    7. Bhagat, Sanjai & Bolton, Brian & Lu, Jun, 2015. "Size, leverage, and risk-taking of financial institutions," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 520-537.
    8. Afik, Zvika & Arad, Ohad & Galil, Koresh, 2016. "Using Merton model for default prediction: An empirical assessment of selected alternatives," Journal of Empirical Finance, Elsevier, vol. 35(C), pages 43-67.
    9. Pandey, Dharen Kumar & Lucey, Brian M. & Kumar, Satish, 2023. "Border disputes, conflicts, war, and financial markets research: A systematic review," Research in International Business and Finance, Elsevier, vol. 65(C).
    10. Yousaf, Imran & Patel, Ritesh & Yarovaya, Larisa, 2022. "The reaction of G20+ stock markets to the Russia–Ukraine conflict “black-swan” event: Evidence from event study approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    11. Umar, Zaghum & Bossman, Ahmed & Choi, Sun-Yong & Vo, Xuan Vinh, 2023. "Are short stocks susceptible to geopolitical shocks? Time-Frequency evidence from the Russian-Ukrainian conflict," Finance Research Letters, Elsevier, vol. 52(C).
    12. Nerlinger, Martin & Utz, Sebastian, 2022. "The impact of the Russia-Ukraine conflict on energy firms: A capital market perspective," Finance Research Letters, Elsevier, vol. 50(C).
    13. repec:onb:oenbwp:y::i:152:b:1 is not listed on IDEAS
    14. Qing Bai & Lu Zhu, 2018. "The Effects of Industry Specific and Local Economic Factors on Credit Default Swap Spreads: Evidence from REITs," Journal of Financial Services Research, Springer;Western Finance Association, vol. 54(3), pages 293-321, December.
    15. Turalay Kenc & Emrah Ismail Cevik, 2021. "Estimating volatility clustering and variance risk premium effects on bank default indicators," Review of Quantitative Finance and Accounting, Springer, vol. 57(4), pages 1373-1392, November.
    16. Turalay Kenc & Emrah Ismail Cevik & Sel Dibooglu, 2021. "Bank default indicators with volatility clustering," Annals of Finance, Springer, vol. 17(1), pages 127-151, March.
    17. Hyeongjun Kim & Hoon Cho & Doojin Ryu, 2020. "Corporate Default Predictions Using Machine Learning: Literature Review," Sustainability, MDPI, vol. 12(16), pages 1-11, August.
    18. Marta Anita Karaś & Michał Boda, 2024. "Stabilność i wyniki finansowe banków w krajach Europy graniczących z konfliktem militarnym w Ukrainie," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 64-111.
    19. Batten, Jonathan A. & Khaw, Karren Lee-Hwei & Young, Martin R., 2021. "Convertible debt and asset substitution of multinational corporations," Journal of Corporate Finance, Elsevier, vol. 67(C).
    20. Jessen, Cathrine & Lando, David, 2015. "Robustness of distance-to-default," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 493-505.
    21. Lo, Gaye-Del & Marcelin, Isaac & Bassène, Théophile & Sène, Babacar, 2022. "The Russo-Ukrainian war and financial markets: the role of dependence on Russian commodities," Finance Research Letters, Elsevier, vol. 50(C).

    More about this item

    Keywords

    European firms; Merton model; Russia–Ukraine war; Asset returns; Default risk;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecolet:v:218:y:2022:i:c:s016517652200266x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.