IDEAS home Printed from https://ideas.repec.org/a/fst/rfsisf/v8y2023ispecial-june_2023p45-56.html
   My bibliography  Save this article

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. 8(Special-J), pages 45-56, June.
  • Handle: RePEc:fst:rfsisf:v:8:y:2023:i:special-june_2023:p:45-56
    DOI: 10.55654/JFS.2023.SP.03
    as

    Download full text from publisher

    File URL: https://revista.isfin.ro/wp-content/uploads/2023/06/3.-Ciupac-Ulici-Maria.pdf
    Download Restriction: no

    File URL: https://revista.isfin.ro/2023/06/25/the-impact-of-the-altman-score-on-the-energy-sector-companies/
    Download Restriction: no

    File URL: https://libkey.io/10.55654/JFS.2023.SP.03?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
    ---><---

    References listed on IDEAS

    as
    1. Geng, Ruibin & Bose, Indranil & Chen, Xi, 2015. "Prediction of financial distress: An empirical study of listed Chinese companies using data mining," European Journal of Operational Research, Elsevier, vol. 241(1), pages 236-247.
    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. Jaffe, Jeffrey & Keim, Donald B & Westerfield, Randolph, 1989. " Earnings Yields, Market Values, and Stock Returns," Journal of Finance, American Finance Association, vol. 44(1), pages 135-148, March.
    4. 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.
    5. 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.
    6. Nada Mselmi & Amine Lahiani & Taher Hamza, 2017. "Financial distress prediction: The case of French small and medium-sized firms," Post-Print hal-03380580, HAL.
    7. 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.
    8. 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.
    9. 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.
    10. Stewart Jones, 2017. "Corporate bankruptcy prediction: a high dimensional analysis," Review of Accounting Studies, Springer, vol. 22(3), pages 1366-1422, September.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. Maria Vassalou & Yuhang Xing, 2004. "Default Risk in Equity Returns," Journal of Finance, American Finance Association, vol. 59(2), pages 831-868, April.
    24. Ilia D. Dichev, 1998. "Is the Risk of Bankruptcy a Systematic Risk?," Journal of Finance, American Finance Association, vol. 53(3), pages 1131-1147, June.
    Full references (including those not matched with items on IDEAS)

    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. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.
    2. Juhani T. Linnainmaa & Michael R. Roberts, 2016. "The History of the Cross Section of Stock Returns," NBER Working Papers 22894, National Bureau of Economic Research, Inc.
    3. de Groot, Wilma & Huij, Joop, 2018. "Are the Fama-French factors really compensation for distress risk?," Journal of International Money and Finance, Elsevier, vol. 86(C), pages 50-69.
    4. 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.
    5. Mselmi, Nada & Hamza, Taher & Lahiani, Amine & Shahbaz, Muhammad, 2019. "Pricing corporate financial distress: Empirical evidence from the French stock market," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 13-27.
    6. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    7. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    8. Yinxia G. Nielsen , Caren, 2013. "Is Default Risk Priced in Equity Returns?," Knut Wicksell Working Paper Series 2013/2, Lund University, Knut Wicksell Centre for Financial Studies.
    9. Glenn Pettengill & George Chang, 2019. "Validating empirically identified risk factors," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(1), pages 162-179, January.
    10. Richardson, Scott & Tuna, Irem & Wysocki, Peter, 2010. "Accounting anomalies and fundamental analysis: A review of recent research advances," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 410-454, December.
    11. van Dijk, Mathijs A., 2011. "Is size dead? A review of the size effect in equity returns," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3263-3274.
    12. Andrew Y. Chen & Tom Zimmermann, 2022. "Open Source Cross-Sectional Asset Pricing," Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.
    13. Skočir, Matevž & Lončarski, Igor, 2018. "Multi-factor asset pricing models: Factor construction choices and the revisit of pricing factors," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 65-80.
    14. Merkle, Christoph & Sextroh, Christoph J., 2021. "Value and momentum from investors’ perspective: Evidence from professionals’ risk-ratings," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 159-178.
    15. Idrees, Sahar & Qayyum, Abdul, 2018. "The Impact of Financial Distress Risk on Equity Returns: A Case Study of Non-Financial Firms of Pakistan Stock Exchange," MPRA Paper 85346, University Library of Munich, Germany.
    16. Ferreira Filipe, Sara & Grammatikos, Theoharry & Michala, Dimitra, 2016. "Pricing default risk: The good, the bad, and the anomaly," Journal of Financial Stability, Elsevier, vol. 26(C), pages 190-213.
    17. Geertsema, Paul & Lu, Helen, 2020. "The correlation structure of anomaly strategies," Journal of Banking & Finance, Elsevier, vol. 119(C).
    18. Tao, Qizhi & Chen, Carl & Lu, Rui & Zhang, Ting, 2017. "Underfunding or distress? An analysis of corporate pension underfunding and the cross-section of expected stock returns," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 116-133.
    19. Amit Hedau, 2020. "Value Investing: Evidence From Listed Construction And Infrastucture Sector Companies In India," Romanian Economic Business Review, Romanian-American University, vol. 15(4), pages 104-114, december.
    20. Tanveer Ahmad; Syed Muhammad Amir Shah, 2017. "The Value-Growth Indicators and Value Premium: Evidence from Pakistan Stock Exchange," South Asian Journal of Management Sciences (SAJMS), Iqra University, Iqra University, vol. 11(2), pages 124-139, Fall.

    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

    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:fst:rfsisf:v:8:y:2023:i:special-june_2023:p:45-56. 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: Cosmin Catalin Olteanu (email available below). General contact details of provider: https://edirc.repec.org/data/isfinro.html .

    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.