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The impact of the Altman score on the energy sector companies

Author

Listed:
  • Maria-Lenuţa Ciupac-Ulici

    (IPAG Business School, Paris, France; Hyperion University, Bucharest, Romania)

  • Daniela-Georgeta Beju

    (Babeș-Bolyai University, Cluj-Napoca, Romania)

  • Ioan-Alin Nistor

    (Babeș-Bolyai University, Cluj-Napoca, Romania)

  • Flaviu Pișcoran

    (Bogdan Vodă University, Cluj-Napoca, Romania)

Abstract

The financial literature regarding bankruptcy prediction models includes the application of several statistical tools which have progressively become accessible. This paper explores the impact of the Altman score on the stock prices of the Romanian companies listed on the Bucharest Stock Exchange during the period 2014-2022. The Altman score is calculated based on the annual reports of the analyzed companies collected from the Bloomberg database, while the stock exchange prices are collected from the Euromonitor database. The methodology used in the analysis is panel regression realized with the Generalized Method of Movements technique. The data is processed using the EViews software. This research study shows that there is a negative correlation between the Altman Z score and the companies’ share price. In terms of theoretical contribution, this study investigates one of the bankruptcy prediction models that is used more often than other models, namely the Altman Z-Score. Keywords: Altman score; stock price; bankruptcy; Romania.

Suggested Citation

  • Maria-Lenuţa Ciupac-Ulici & Daniela-Georgeta Beju & Ioan-Alin Nistor & Flaviu Pișcoran, 2023. "The impact of the Altman score on the energy sector companies," Journal of Financial Studies, Institute of Financial Studies, vol. 14(8), pages 45-56, June.
    • Handle: RePEc:fst:rfsisf:v:14-special-june:y:2023:i:8:p:45-56
    DOI: 10.55654/JFS.2023.SP.03
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    References listed on IDEAS

    as
    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. "Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    3. Chan, Louis K C & Hamao, Yasushi & Lakonishok, Josef, 1991. "Fundamentals and Stock Returns in Japan," Journal of Finance, American Finance Association, vol. 46(5), pages 1739-1764, December.
    4. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    5. Błażej Prusak, 2018. "Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries," IJFS, MDPI, vol. 6(3), pages 1-28, June.
    6. M. Noor Salim & Sudiono, 2017. "An Analysis Of Bankruptcy Likelihood On Coal Mining Listed Firms In The Indonesian Stock Exchange: An Altman, Springate And Zmijewski Approaches," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 5(3), pages 99-108.
    7. Nada Mselmi & Amine Lahiani & Taher Hamza, 2017. "Financial distress prediction: The case of French small and medium-sized firms," Post-Print hal-03380580, HAL.
    8. Daniel Ogachi & Richard Ndege & Peter Gaturu & Zeman Zoltan, 2020. "Corporate Bankruptcy Prediction Model, a Special Focus on Listed Companies in Kenya," JRFM, MDPI, vol. 13(3), pages 1-14, March.
    9. Holder-Webb, LM & Wilkins, MS, 2000. "The incremental information content of SAS No. 59 going-concern opinions," Journal of Accounting Research, Wiley Blackwell, vol. 38(1), pages 209-219.
    10. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    11. Lin, K.C. & Dong, Xiaobo, 2018. "Corporate social responsibility engagement of financially distressed firms and their bankruptcy likelihood," Advances in accounting, Elsevier, vol. 43(C), pages 32-45.
    12. Amendola, Alessandra & Restaino, Marialuisa & Sensini, Luca, 2015. "An analysis of the determinants of financial distress in Italy: A competing risks approach," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 33-41.
    13. Piotroski, JD, 2000. "Value investing: The use of historical financial statement information to separate winners from losers," Journal of Accounting Research, Wiley Blackwell, vol. 38, pages 1-41.
    14. Laitinen, Erkki K. & Suvas, Arto, 2016. "Financial distress prediction in an international context: Moderating effects of Hofstede’s original cultural dimensions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 98-118.
    15. Boratyńska, Katarzyna & Grzegorzewska, Emilia, 2018. "Bankruptcy prediction in the agribusiness sector: Lessons from quantitative and qualitative approaches," Journal of Business Research, Elsevier, vol. 89(C), pages 175-181.
    16. Altman, Edward I. & Brenner, Menachem, 1981. "Information Effects and Stock Market Response to Signs of Firm Deterioration," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 16(1), pages 35-51, March.
    17. Václav KLEPAC & David HAMPEL, 2017. "Predicting financial distress of agriculture companies in EU," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(8), pages 347-355.
    18. repec:bla:jfinan:v:59:y:2004:i:2:p:831-868 is not listed on IDEAS
    19. Basu, S, 1977. "Investment Performance of Common Stocks in Relation to Their Price-Earnings Ratios: A Test of the Efficient Market Hypothesis," Journal of Finance, American Finance Association, vol. 32(3), pages 663-682, June.
    20. repec:bla:jfinan:v:53:y:1998:i:3:p:1131-1147 is not listed on IDEAS
    21. repec:bla:jfinan:v:44:y:1989:i:1:p:135-48 is not listed on IDEAS
    22. Mselmi, Nada & Lahiani, Amine & Hamza, Taher, 2017. "Financial distress prediction: The case of French small and medium-sized firms," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 67-80.
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    More about this item

    Keywords

    altman score; stock price; bankruptcy; romania.;
    All these keywords.

    JEL classification:

    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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