IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/14545_17.html
   My bibliography  Save this book chapter

Predicting financial distress of companies: revisiting the Z-Score and ZETA® models

In: Handbook of Research Methods and Applications in Empirical Finance

Author

Listed:
  • Edward I. Altman

Abstract

This impressive Handbook presents the quantitative techniques that are commonly employed in empirical finance research together with real-world, state-of-the-art research examples.

Suggested Citation

  • Edward I. Altman, 2013. "Predicting financial distress of companies: revisiting the Z-Score and ZETA® models," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 17, pages 428-456, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:14545_17
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/view/9780857936080.00027.xml
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lawrence Fisher, 1959. "Determinants of Risk Premiums on Corporate Bonds," Journal of Political Economy, University of Chicago Press, vol. 67(3), pages 217-217.
    2. Gijoon Hong & Carol L. Osler, 2000. "Rapidly rising corporate debt: are firms now vulnerable to an economic slowdown?," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 6(Jun).
    3. Deakin, Eb, 1972. "Discriminant Analysis Of Predictors Of Business Failure," Journal of Accounting Research, Wiley Blackwell, vol. 10(1), pages 167-179.
    4. Edward I. Altman, 1973. "Predicting Railroad Bankruptcies in America," Bell Journal of Economics, The RAND Corporation, vol. 4(1), pages 184-211, Spring.
    5. 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.
    6. Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), 2013. "Handbook of Research Methods and Applications in Empirical Finance," Books, Edward Elgar Publishing, number 14545.
    7. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    8. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    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. Illueca, Manuel & Norden, Lars & Pacelli, Joseph & Udell, Gregory F., 2022. "Countercyclical prudential buffers and bank risk-taking," Journal of Financial Intermediation, Elsevier, vol. 51(C).
    2. Zhao, Lexin & Peng, Gang & Feng, Qianbin, 2024. "VAT rate cut and corporate maturity mismatch: Evidence from China's VAT rate reform," International Review of Financial Analysis, Elsevier, vol. 93(C).
    3. Ondřej Machek & Tomáš Pokorný, 2016. "Rate of Failure of Czech Family Firms [Míra úpadků českých rodinných firem]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2016(3), pages 24-34.
    4. Owusu, Andrews & Zalata, Alaa Mansour, 2023. "Credit rating agency response to appointment of female audit partners: Evidence from the UK," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 50(C).
    5. Mo, Kun & Suvankulov, Farrukh & Griffiths, Sophie, 2021. "Financial distress and commodity hedging: Evidence from Canadian oil firms," Energy Economics, Elsevier, vol. 97(C).
    6. Tan, Changchun & Mo, Lingyu & Wu, Xiaomeng & Zhou, Peng, 2024. "Fintech development and corporate credit risk: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 92(C).
    7. Dolinšek Tatjana & Kovač Tatjana, 2024. "Application of the Altman Model for the Prediction of Financial Distress in the Case of Slovenian Companies," Organizacija, Sciendo, vol. 57(2), pages 115-126, May.
    8. Bertrand, Jérémie & Delanghe, Marieke & Klein, Paul-Olivier, 2023. "Does relationship lending help firms to ask for credit? European cross-country evidence," Economic Modelling, Elsevier, vol. 124(C).
    9. Sebastian Klaudiusz Tomczak & Edward Radosiński, 2017. "The effectiveness of discriminant models based on the example of the manufacturing sector," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(3), pages 81-97.
    10. Alberternst, Stephan, 2016. "Relevanz der deutschen Zinsschranke für Personenunternehmen: Eine dynamische Analyse der Betroffenheit," arqus Discussion Papers in Quantitative Tax Research 207, arqus - Arbeitskreis Quantitative Steuerlehre.
    11. Julian Oliver Dörr & Georg Licht & Simona Murmann, 2022. "Small firms and the COVID-19 insolvency gap," Small Business Economics, Springer, vol. 58(2), pages 887-917, February.
    12. Chen, Hsuan-Chi & Chou, Robin K. & Lu, Chien-Lin, 2018. "Saving for a rainy day: Evidence from the 2000 dot-com crash and the 2008 credit crisis," Journal of Corporate Finance, Elsevier, vol. 48(C), pages 680-699.
    13. Duan, Jin-Chuan & Kim, Baeho & Kim, Woojin & Shin, Donghwa, 2018. "Default probabilities of privately held firms," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 235-250.
    14. Westfall, Tiffany J. & Myring, Mark, 2022. "Are voluntary internal control weakness disclosures in initial public offerings associated with managerial ability and subsequent financial reporting quality?," Advances in accounting, Elsevier, vol. 59(C).
    15. Ding, Xin & Li, Jingshan & Song, Tiantian & Ding, Chenyang & Tan, Wenhao, 2023. "Does carbon emission of firms aggravate the risk of financial distress? Evidence from China," Finance Research Letters, Elsevier, vol. 56(C).
    16. Mauro Paoloni & Massimiliano Celli, 2018. "Crisi delle PMI e strumenti di warning. Un test di verifica nel settore manifatturiero," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(2), pages 85-106.
    17. Hakim Lyngstadaas, 2020. "Packages or systems? Working capital management and financial performance among listed U.S. manufacturing firms," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(4), pages 403-450, December.
    18. Guenther, Miriam & Guenther, Peter, 2021. "The complex firm financial effects of customer satisfaction improvements," International Journal of Research in Marketing, Elsevier, vol. 38(3), pages 639-662.
    19. Loureiro, Gilberto & Makhija, Anil K. & Zhang, Dan, 2020. "One dollar CEOs," Journal of Business Research, Elsevier, vol. 109(C), pages 425-439.
    20. Hogan, Thomas L., 2015. "Capital and risk in commercial banking: A comparison of capital and risk-based capital ratios," The Quarterly Review of Economics and Finance, Elsevier, vol. 57(C), pages 32-45.
    21. Chen, Hsuan-Chi & Chou, Robin K. & Lin, Chih-Yung & Lu, Chien-Lin, 2022. "Bank loans during the 2008 quantitative easing," Journal of Financial Stability, Elsevier, vol. 59(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. Enrico Supino & Nicola Piras, 2022. "Le performance dei modelli di credit scoring in contesti di forte instabilit? macroeconomica: il ruolo delle Reti Neurali Artificiali," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2), pages 41-61.
    2. Laitinen, Erkki K., 2007. "Classification accuracy and correlation: LDA in failure prediction," European Journal of Operational Research, Elsevier, vol. 183(1), pages 210-225, November.
    3. Ali DERAN & Omer ISKENDEROGLU & Incilay ERDURU, 2014. "Regional Differences and Financial Ratios: A Comparative Approach on Companies of ISE City Indexes," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 946-955.
    4. Fougère, D. & Golfier, C. & Horny, G. & Kremp, E., 2013. "What has been the impact of the 2008 crisis on firms’ default? (in French)," Working papers 463, Banque de France.
    5. Adriana Csikosova & Maria Janoskova & Katarina Culkova, 2020. "Application of Discriminant Analysis for Avoiding the Risk of Quarry Operation Failure," JRFM, MDPI, vol. 13(10), pages 1-14, September.
    6. Catherine Refait, 2004. "La prévision de la faillite fondée sur l’analyse financière de l’entreprise : un état des lieux," Économie et Prévision, Programme National Persée, vol. 162(1), pages 129-147.
    7. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    8. repec:diw:diwwpp:dp416 is not listed on IDEAS
    9. Amin Jan & Maran Marimuthu & Muhammad Kashif Shad & Haseeb ur-Rehman & Muhammad Zahid & Ahmad Ali Jan, 2019. "Bankruptcy profile of the Islamic and conventional banks in Malaysia: a post-crisis period analysis," Economic Change and Restructuring, Springer, vol. 52(1), pages 67-87, February.
    10. Fayçal Mraihi, 2016. "Distressed Company Prediction Using Logistic Regression: Tunisian’s Case," Quarterly Journal of Business Studies, Research Academy of Social Sciences, vol. 2(1), pages 34-54.
    11. Hu, Yu-Chiang & Ansell, Jake, 2007. "Measuring retail company performance using credit scoring techniques," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1595-1606, December.
    12. du Jardin, Philippe, 2015. "Bankruptcy prediction using terminal failure processes," European Journal of Operational Research, Elsevier, vol. 242(1), pages 286-303.
    13. Skogsvik, Kenth, 2005. "On the Choice-Based Sample Bias in Probabilistic Business Failure Prediction," SSE/EFI Working Paper Series in Business Administration 2005:13, Stockholm School of Economics, revised 09 Jan 2006.
    14. repec:ctc:sdimse:dime21_01 is not listed on IDEAS
    15. du Jardin, Philippe, 2012. "The influence of variable selection methods on the accuracy of bankruptcy prediction models," MPRA Paper 44383, University Library of Munich, Germany.
    16. Apostolos G. Christopoulos & Ioannis G. Dokas & Iraklis Kollias & John Leventides, 2019. "An implementation of Soft Set Theory in the Variables Selection Process for Corporate Failure Prediction Models. Evidence from NASDAQ Listed Firms," Bulletin of Applied Economics, Risk Market Journals, vol. 6(1), pages 1-20.
    17. Laitinen, Erkki K. & Laitinen, Teija, 2000. "Bankruptcy prediction: Application of the Taylor's expansion in logistic regression," International Review of Financial Analysis, Elsevier, vol. 9(4), pages 327-349.
    18. Gemünden, Hans Georg, 1988. "Defekte der empirischen Insolvenzforschung," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 205, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    19. Amin Jan & Maran Marimuthu, 2016. "Bankruptcy Profile of Foreign versus Domestic Islamic Banks of Malaysia: A Post Crisis Period Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 332-346.
    20. Catherine Refait-Alexandre, 2004. "A Review of Business Failure Prediction Based on Financial Analysis of the Firm [La prévision de la faillite fondée sur l'analyse financière de l'entreprise : un état des lieux]," Post-Print hal-01391654, HAL.
    21. fernández, María t. Tascón & gutiérrez, Francisco J. Castaño, 2012. "Variables y Modelos Para La Identificación y Predicción Del Fracaso Empresarial: Revisión de La Investigación Empírica Reciente," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 15(1), pages 7-58.
    22. Layla Khoja & Maxwell Chipulu & Ranadeva Jayasekera, 2016. "Analysing corporate insolvency in the Gulf Cooperation Council using logistic regression and multidimensional scaling," Review of Quantitative Finance and Accounting, Springer, vol. 46(3), pages 483-518, April.

    More about this item

    Keywords

    Economics and Finance; Research Methods;

    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:elg:eechap:14545_17. 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: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.com .

    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.