IDEAS home Printed from https://ideas.repec.org/a/spr/sjobre/v51y1999i6d10.1007_bf03371580.html
   My bibliography  Save this article

Die Einstufung des Fehlerrisikos im handelsrechtlichen Jahresabschluß anhand von Regressionen aus empirisch bedeutsamen Erfolgsfaktoren

Author

Listed:
  • Otto H. Jacobs

    (Universität Mannheim)

  • Andreas Oestreicher

    (Universität Mannheim)

  • Susanne Piotrowski-Allert

    (Universität Mannheim)

Abstract

Summary In order to assess accounting and financial statement according to the audit risk approach type and extent of performed audit procedures have to be reduced depending on the risk that accounting and financial statement are misstated. To determine the risk of material misstatement in a highly impartial manner this paper presents an approach that allows calculating the risk of misstatement using regression equations on significant risk items. This approach is based on identifying descriptive risk features and establishing regression equations out of data from 48 enterprises and three years. While descriptive risk features are extracted from the competition model and the findings of success factor research, the transformation of the misstatement risk into operational figures was performed by assessing documented recognitions. The regression analysis showed that the risk of misstatement can be assessed truly with the identified risk items to a high probability. Furthermore the components of the regression function give hints on particular structures and strategies which are of major importance for the risk of misstatement and the determination of main audit areas.

Suggested Citation

  • Otto H. Jacobs & Andreas Oestreicher & Susanne Piotrowski-Allert, 1999. "Die Einstufung des Fehlerrisikos im handelsrechtlichen Jahresabschluß anhand von Regressionen aus empirisch bedeutsamen Erfolgsfaktoren," Schmalenbach Journal of Business Research, Springer, vol. 51(6), pages 523-549, June.
    • Handle: RePEc:spr:sjobre:v:51:y:1999:i:6:d:10.1007_bf03371580
    DOI: 10.1007/BF03371580
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/BF03371580
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1007/BF03371580?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. Louis Guttman, 1954. "Some necessary conditions for common-factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 19(2), pages 149-161, June.
    2. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    3. Quick, Reiner, 1996. "Die Risiken der Jahresabschlussprüfung," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 67737, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    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. Ulrich Kaiser & Andrea Szczesny, 2003. "Ökonometrische Verfahren zur Modellierung von Kreditausfallwahrscheinlichkeiten: Logit- und Probit-Modelle," Schmalenbach Journal of Business Research, Springer, vol. 55(8), pages 790-822, December.

    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. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    2. GUO-FITOUSSI, Liang, 2013. "A Comparison of the Finite Sample Properties of Selection Rules of Factor Numbers in Large Datasets," MPRA Paper 50005, University Library of Munich, Germany.
    3. 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.
    4. 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.
    5. 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).
    6. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
    7. 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.
    8. 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.
    9. 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.
    10. Modina, Michele & Pietrovito, Filomena & Gallucci, Carmen & Formisano, Vincenzo, 2023. "Predicting SMEs’ default risk: Evidence from bank-firm relationship data," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 254-268.
    11. Louis Guttman, 1955. "A generalized simplex for factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 20(3), pages 173-192, September.
    12. Poledrini Simone & Searing Elizabeth A. M. & Montrone Alessandro, 2022. "A Model for Directing and Modulating Public Interventions in Social Enterprises," Nonprofit Policy Forum, De Gruyter, vol. 13(4), pages 307-332, October.
    13. 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.
    14. Jie Sun & Jie Li & Hamido Fujita & Wenguo Ai, 2023. "Multiclass financial distress prediction based on one‐versus‐one decomposition integrated with improved decision‐directed acyclic graph," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1167-1186, August.
    15. Nico Migenda & Ralf Möller & Wolfram Schenck, 2021. "Adaptive dimensionality reduction for neural network-based online principal component analysis," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-32, March.
    16. Chiara Pederzoli & Grid Thoma & Costanza Torricelli, 2013. "Modelling Credit Risk for Innovative SMEs: the Role of Innovation Measures," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(1), pages 111-129, August.
    17. Guido Max Mantovani & Gregory Gadzinski, 2022. "How to Rate the Financial Performance of Private Companies? A Tailored Integrated Rating Methodology Applied to North-Eastern Italian Districts," JRFM, MDPI, vol. 15(11), pages 1-18, October.
    18. Saara Tamminen, 2017. "Regional effects or none? Firms' profitability during the Great Recession in Finland," Papers in Regional Science, Wiley Blackwell, vol. 96(1), pages 33-59, March.
    19. 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.
    20. 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.

    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:spr:sjobre:v:51:y:1999:i:6:d:10.1007_bf03371580. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.