IDEAS home Printed from https://ideas.repec.org/p/zbw/cauman/311.html
   My bibliography  Save this paper

Zur Diagnose von Konzernkrisen auf der Basis qualitativer Angaben im Jahresabschluß

Author

Listed:
  • Bötzel, Stefan
  • Hauschildt, Jürgen

Abstract

Statistical analysis of financial statements has reached a high degree of sophistication. But Consolidated financial statements of a group of companies seem to be resistent against these attempts. Analysts suspect that these statements can legally be manipulated to such an extent that they present a picture that would be expected by the firm's reference groups. Thus, the analyst tries to find out to which extent the financial statements of the group has made use of legal options to present an appropriate Consolidated annual balance and income Statement. We develop two indices to measure this quality of annual reporting: the "index of publication" shows to which degree the statements meet the legal Standards, and the "degree of Camouflage" indicates how intensively a Consolidated financial Statement has made use of options which might improve the annual results. Both indices are validated in a sample of 119 Consolidated financial statements (1988). Further, in a cluster-analysis these indices were integrated with ratios of profitability, growth, and debts. This analysis gives clear indications that low economic success coincides with mediocre quality of reporting.

Suggested Citation

  • Bötzel, Stefan & Hauschildt, Jürgen, 1993. "Zur Diagnose von Konzernkrisen auf der Basis qualitativer Angaben im Jahresabschluß," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 311, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
  • Handle: RePEc:zbw:cauman:311
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/149818/1/manuskript_311.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    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. Barbara Su, 2023. "Banking practices and borrowing firms’ financial reporting quality: evidence from bank cross-selling," Review of Accounting Studies, Springer, vol. 28(1), pages 201-236, March.
    2. Shaikh, Ibrahim A. & O'Brien, Jonathan Paul & Peters, Lois, 2018. "Inside directors and the underinvestment of financial slack towards R&D-intensity in high-technology firms," Journal of Business Research, Elsevier, vol. 82(C), pages 192-201.
    3. Mikel Bedayo & Gabriel Jiménez & José-Luis Peydró & Raquel Vegas, 2020. "Screening and Loan Origination Time: Lending Standards, Loan Defaults and Bank Failures," Working Papers 1215, Barcelona School of Economics.
    4. Ruey-Ching Hwang, 2013. "Forecasting credit ratings with the varying-coefficient model," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1947-1965, December.
    5. Antonio Davila & George Foster & Xiaobin He & Carlos Shimizu, 2015. "The rise and fall of startups: Creation and destruction of revenue and jobs by young companies," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 6-35, February.
    6. Masahiro Enomoto, 2018. "Effects of Corporate Governance on the Relationship between Accounting Quality and Trade Credit: Evidence from Japan," Discussion Paper Series DP2018-12, Research Institute for Economics & Business Administration, Kobe University, revised Dec 2023.
    7. Chen, Peimin & Wu, Chunchi, 2014. "Default prediction with dynamic sectoral and macroeconomic frailties," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 211-226.
    8. Knyazeva, Anzhela & Knyazeva, Diana, 2012. "Does being your bank’s neighbor matter?," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1194-1209.
    9. Giordani, Paolo & Jacobson, Tor & Schedvin, Erik von & Villani, Mattias, 2014. "Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 1071-1099, August.
    10. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    11. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
    12. Gropp, R. & Grundl, C. & Guttler, A., 2012. "Does Discretion in Lending Increase Bank Risk? Borrower Self-Selection and Loan Officer Capture Effects," Other publications TiSEM bfec5360-2a2b-47e4-ba3f-d, Tilburg University, School of Economics and Management.
    13. Pavol Durana & Lucia Michalkova & Andrej Privara & Josef Marousek & Milos Tumpach, 2021. "Does the life cycle affect earnings management and bankruptcy?," Oeconomia Copernicana, Institute of Economic Research, vol. 12(2), pages 425-461, June.
    14. Dinh, K. & Kleimeier, S., 2006. "Credit scoring for Vietnam's retail banking market : implementation and implications for transactional versus relationship lending," Research Memorandum 012, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    15. Park, Moon Deok & Han, Seung Hun, 2023. "Pay dispersion and CSR," Finance Research Letters, Elsevier, vol. 51(C).
    16. Simon Cornée, 2014. "Soft Information and Default Prediction in Cooperative and Social Banks," Journal of Entrepreneurial and Organizational Diversity, European Research Institute on Cooperative and Social Enterprises, vol. 3(1), pages 89-103, June.
    17. Elizaveta Danilova & Evgeny Rumyantsev & Ivan Shevchuk, 2018. "Review of the Bank of Russia – IMF Workshop 'Recent Developments in Macroprudential Stress Testing'," Russian Journal of Money and Finance, Bank of Russia, vol. 77(4), pages 60-83, December.
    18. Alderson, Michael J. & Betker, Brian L. & Halford, Joseph T., 2021. "Fictitious dividend cuts in the CRSP data," Journal of Corporate Finance, Elsevier, vol. 71(C).
    19. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August.
    20. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.

    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:311. 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.