IDEAS home Printed from https://ideas.repec.org/p/zbw/cauman/174.html
   My bibliography  Save this paper

Die Entwicklung der empirischen Bilanzforschung zur Identifizierung gefährdeter Unternehmen

Author

Listed:
  • Rösler, Joachim

Abstract

No abstract is available for this item.

Suggested Citation

  • Rösler, Joachim, 1985. "Die Entwicklung der empirischen Bilanzforschung zur Identifizierung gefährdeter Unternehmen," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 174, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    • Handle: RePEc:zbw:cauman:174
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/168609/1/manuskript_174.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wilcox, Jw, 1973. "Prediction Of Business Failure Using Accounting Data - Comment," Journal of Accounting Research, Wiley Blackwell, vol. 11, pages 188-190.
    2. Wilcox, Jw, 1973. "Prediction Of Business Failure Using Accounting Data," Journal of Accounting Research, Wiley Blackwell, vol. 11, pages 163-179.
    3. Zimmer, I, 1980. "A Lens Study Of The Prediction Of Corporate Failure By Bank Loan Officers," Journal of Accounting Research, Wiley Blackwell, vol. 18(2), pages 629-636.
    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. Ulrich Erlenmaier & Hans Gersbach, 2014. "Default Correlations in the Merton Model," Review of Finance, European Finance Association, vol. 18(5), pages 1775-1809.
    2. Jindrich Spicka & Tomas Hlavsa & Katerina Soukupova & Marie Stolbova, 2019. "Approaches to estimation the farm-level economic viability and sustainability in agriculture: A literature review," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(6), pages 289-297.
    3. 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.
    4. Teija Laitinen & Maria Kankaanpaa, 1999. "Comparative analysis of failure prediction methods: the Finnish case," European Accounting Review, Taylor & Francis Journals, vol. 8(1), pages 67-92.
    5. Bharathkumar, Sai Ranjani & Gupta, Santanu, 2020. "Simplex representation of insurance performance analysis," Journal of Policy Modeling, Elsevier, vol. 42(2), pages 419-436.
    6. Akarsh Kainth & Ranik Raaen Wahlstrøm, 2021. "Do IFRS Promote Transparency? Evidence from the Bankruptcy Prediction of Privately Held Swedish and Norwegian Companies," JRFM, MDPI, vol. 14(3), pages 1-15, March.
    7. Jayasekera, Ranadeva, 2018. "Prediction of company failure: Past, present and promising directions for the future," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 196-208.
    8. Nina Ponikvar & Maks Tajnikar & Ksenja Pušnik, 2009. "Performance ratios for managerial decision‐making in a growing firm," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 10(2), pages 109-120, February.
    9. Divesh Sharma & Errol Iselin, 2003. "The decision usefulness of reported cash flow and accrual information in a behavioural field experiment," Accounting and Business Research, Taylor & Francis Journals, vol. 33(2), pages 123-135.
    10. 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.
    11. Divesh S. Sharma & Errol R. Iselin, 2003. "The Relative Relevance of Cash Flow and Accrual Information for Solvency Assessments: A Multi‐Method Approach," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(7‐8), pages 1115-1140, September.
    12. Ravi Kumar, P. & Ravi, V., 2007. "Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review," European Journal of Operational Research, Elsevier, vol. 180(1), pages 1-28, July.
    13. 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.
    14. 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.
    15. Asish Saha & Nor Hayati Ahmad & Lim Hick Eam & Siew Goh Yeok, 2019. "Assessing Bank Stability in Malaysia in the Framework of Distance to Default," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 15(2), pages 1-27.
    16. Paolo Angelis & Fulvio Gismondi & Riccardo Ottaviani, 1994. "A non-parametric statistical model for the control of Italian insurance companies," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 17(1), pages 69-84, March.
    17. Adli Abouzeedan & Michael Busler, 2005. "ASPEM as the New Topographic Analysis Tool for Small and Medium-Sized Enterprises (SMEs) Performance Models Utilization," Journal of International Entrepreneurship, Springer, vol. 3(1), pages 53-70, January.
    18. 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.
    19. Mortensen, Tony & Fisher, Richard & Wines, Graeme, 2012. "Students as surrogates for practicing accountants: Further evidence," Accounting forum, Elsevier, vol. 36(4), pages 251-265.
    20. Mosqueda, Rubén, 2010. "Fallibility Of The Rough Set Method In The Formulation Of The Failure Prediction Index Model Of Dynamic Risk," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 15(28), pages 65-88.

    More about this item

    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:zbw:cauman:174. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/ibkiede.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.