IDEAS home Printed from https://ideas.repec.org/b/zbw/wuersc/3.html
   My bibliography  Save this book

Die Unabhängigkeit des Abschlussprüfers bei privaten Unternehmen in Deutschland: Eine empirische Analyse im Kontext der Honorare für Prüfung und Beratung

Author

Listed:
  • Günther, Johannes

Abstract

Die Unabhängigkeit des Abschlussprüfers ist von anhaltender Relevanz, wird jedoch immer wieder in Frage gestellt. Der Fokus von Regulierungsbehörden und Forschung liegt auf kapitalmarktorientierten Unternehmen. Die Unabhängigkeit kann besonders gefährdet sein, wenn Schutzmechanismen, wie z. B. die Haftung oder das Risiko eines Reputationsverlustes, besonders schwach ausgeprägt sind. Es kann abgeleitet werden, dass bei privaten Unternehmen das Risiko eines Reputationsverlustes im Vergleich zu kapitalmarktorientierten Unternehmen geringer ist. Die vorliegende Arbeit untersucht empirisch die Unabhängigkeit des Abschlussprüfers bei nicht kapitalmarktorientierten Unternehmen - im Folgenden private Unternehmen genannt - im Kontext von Prüfungs- und Nichtprüfungshonoraren in Deutschland. Als Surrogat für die Prüfungsqualität wird die Wahrscheinlichkeit einer Going-Concern-Modifikation ('GCM') herangezogen. GCM können als Indikator für die Prüfungsqualität besonders geeignet sein, da sie ein direktes Ergebnis der Tätigkeit des Abschlussprüfers sind und von ihm formuliert und verantwortet.

Suggested Citation

  • Günther, Johannes, 2020. "Die Unabhängigkeit des Abschlussprüfers bei privaten Unternehmen in Deutschland: Eine empirische Analyse im Kontext der Honorare für Prüfung und Beratung," Studies in financial, managerial and tax accounting, University of Würzburg, Institute of Business Management, volume 3, number 3.
    • Handle: RePEc:zbw:wuersc:3
    DOI: 10.25972/WUP-978-3-95826-117-4
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/226624/1/1694352528.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.25972/WUP-978-3-95826-117-4?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. Wu, De-Min, 1973. "Alternative Tests of Independence Between Stochastic Regressors and Disturbances," Econometrica, Econometric Society, vol. 41(4), pages 733-750, July.
    2. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    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. Campbell, Randall C. & Nagel, Gregory L., 2016. "Private information and limitations of Heckman's estimator in banking and corporate finance research," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 186-195.
    2. 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).
    3. James J. Heckman, 1991. "Randomization and Social Policy Evaluation Revisited," NBER Technical Working Papers 0107, National Bureau of Economic Research, Inc.
    4. Harlan Platt & Marjorie Platt, 2002. "Predicting corporate financial distress: Reflections on choice-based sample bias," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 26(2), pages 184-199, June.
    5. Sheikh, Shahbaz, 2018. "The impact of market competition on the relation between CEO power and firm innovation," Journal of Multinational Financial Management, Elsevier, vol. 44(C), pages 36-50.
    6. Richardson, Grant & Taylor, Grantley & Lanis, Roman, 2015. "The impact of financial distress on corporate tax avoidance spanning the global financial crisis: Evidence from Australia," Economic Modelling, Elsevier, vol. 44(C), pages 44-53.
    7. Jinhyun Lee, 2013. "A Consistent Nonparametric Bootstrap Test of Exogeneity," Discussion Paper Series, School of Economics and Finance 201316, School of Economics and Finance, University of St Andrews.
    8. Garcia-Blandon, Josep & Argiles-Bosch, Josep Maria & Castillo-Merino, David & Martinez-Blasco, Monica, 2017. "An Assessment of the Provisions of Regulation (EU) No 537/2014 on Non-audit Services and Audit Firm Tenure: Evidence from Spain," The International Journal of Accounting, Elsevier, vol. 52(3), pages 251-261.
    9. Arthur Caplan & John Gilbert, 2010. "Can fighting grade inflation help the bottom line?," Applied Economics Letters, Taylor & Francis Journals, vol. 17(17), pages 1663-1667.
    10. Doko Tchatoka, Firmin Sabro, 2012. "Specification Tests with Weak and Invalid Instruments," MPRA Paper 40185, University Library of Munich, Germany.
    11. Cawley, John & Markowitz, Sara & Tauras, John, 2004. "Lighting up and slimming down: the effects of body weight and cigarette prices on adolescent smoking initiation," Journal of Health Economics, Elsevier, vol. 23(2), pages 293-311, March.
    12. Edward Ghartey, 2006. "Exchange Pressure, Sterilized Intervention and Monetary Policy in Ghana," EcoMod2006 272100031, EcoMod.
    13. Shoya Ishimaru, 2021. "Empirical Decomposition of the IV-OLS Gap with Heterogeneous and Nonlinear Effects," Papers 2101.04346, arXiv.org, revised Jun 2022.
    14. Meles, Antonio & Salerno, Dario & Sampagnaro, Gabriele & Verdoliva, Vincenzo & Zhang, Jianing, 2023. "The influence of green innovation on default risk: Evidence from Europe," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 692-710.
    15. Grossman, Michael & Joyce, Theodore J, 1990. "Unobservables, Pregnancy Resolutions, and Birth Weight Production Functions in New York City," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 983-1007, October.
    16. Oded Palmon & Ben J. Sopranzetti, 2017. "On the relationship between the number of a broker’s real estate listings and transaction outcomes," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 65-89, July.
    17. Davidson, Russell & MacKinnon, James G., 1989. "Testing for Consistency using Artificial Regressions," Econometric Theory, Cambridge University Press, vol. 5(3), pages 363-384, December.
    18. Schulz, Lee L. & Schroeder, Ted C. & White, Katharine L., 2012. "Value of Beef Steak Branding: Hedonic Analysis of Retail Scanner Data," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(2), pages 1-14, August.
    19. O'Brien, Raymond & Patacchini, Eleonora, 2003. "Testing the exogeneity assumption in panel data models with "non classical" disturbances," Discussion Paper Series In Economics And Econometrics 0302, Economics Division, School of Social Sciences, University of Southampton.
    20. Trueck, Stefan & Rachev, Svetlozar T., 2008. "Rating Based Modeling of Credit Risk," Elsevier Monographs, Elsevier, edition 1, number 9780123736833.

    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:wuersc:3. 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/biwuede.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.