IDEAS home Printed from https://ideas.repec.org/a/bpj/zfgewe/v67y2017i4p245-262n3.html

„(Lifetime) Expected Credit Losses“ im Rahmen der IFRS-Rechnungslegung: Ein anwendungsorientierter Problemaufriss für Banken und Versicherungen im genossenschaftlichen Umfeld

Author

Listed:
  • Filusch Tobias

    (Philipps-Universität Marburg, Institut für Genossenschaftswesen (ifG Marburg), Am Plan 2, 35037, Marburg, Deutschland)

  • Mölls Sascha H.

    (Philipps-Universität Marburg, Institut für Genossenschaftswesen (ifG Marburg), Am Plan 2, 35037, Marburg, Deutschland)

Abstract

With the concept of (lifetime) expected credit losses the international standard setter has established an impairment model that is supposed to report risks early and comprehensively. With regard to the induced strengthening of creditor protection and regarding a potential convergence of the German commercial code cooperative banks and insurances as well as the corresponding auditing associations should deal with the upcoming changes precociously.

Suggested Citation

  • Filusch Tobias & Mölls Sascha H., 2017. "„(Lifetime) Expected Credit Losses“ im Rahmen der IFRS-Rechnungslegung: Ein anwendungsorientierter Problemaufriss für Banken und Versicherungen im genossenschaftlichen Umfeld," Zeitschrift für das gesamte Genossenschaftswesen, De Gruyter, vol. 67(4), pages 245-262, December.
  • Handle: RePEc:bpj:zfgewe:v:67:y:2017:i:4:p:245-262:n:3
    DOI: 10.1515/zfgg-2017-0025
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/zfgg-2017-0025
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/zfgg-2017-0025?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    3. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    4. Bernd Engelmann & Robert Rauhmeier (ed.), 2011. "The Basel II Risk Parameters," Springer Books, Springer, number 978-3-642-16114-8, March.
    5. Joerg-Markus Hitz, 2007. "The Decision Usefulness of Fair Value Accounting - A Theoretical Perspective," European Accounting Review, Taylor & Francis Journals, vol. 16(2), pages 323-362.
    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. Christian Lohmann & Thorsten Ohliger, 2020. "Bankruptcy prediction and the discriminatory power of annual reports: empirical evidence from financially distressed German companies," Journal of Business Economics, Springer, vol. 90(1), pages 137-172, February.
    2. Lohmann, Christian & Möllenhoff, Steffen, 2023. "Dark premonitions: Pre-bankruptcy investor attention and behavior," Journal of Banking & Finance, Elsevier, vol. 151(C).
    3. Thamayanthi Chellathurai, 2017. "Probability Density Of Recovery Rate Given Default Of A Firm’S Debt And Its Constituent Tranches," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-34, June.
    4. Christian Lohmann & Steffen Möllenhoff & Thorsten Ohliger, 2023. "Nonlinear relationships in bankruptcy prediction and their effect on the profitability of bankruptcy prediction models," Journal of Business Economics, Springer, vol. 93(9), pages 1661-1690, November.
    5. Hui Li & Ting Sun & Jinquan Zhang, 2024. "Prediction of corporate financial distress based on corporate social responsibility: New evidence from DANP, VWP and MEOWA weights methodologies," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(5), pages 4537-4565, December.
    6. Burcu Aydin & Mr. Myeongsuk Kim & Mr. Ho-Seong Moon, 2011. "Financial Linkages Across Korean Banks," IMF Working Papers 2011/201, International Monetary Fund.
    7. Antonio Sánchez Serrano, 2018. "EU banks after the crisis: sinners in the hands of angry markets," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 1(9), pages 24-51, May.
    8. Fernando MIERZEJEWSKI & Katholieke Universiteit, 2009. "Towards A General Theory Of Liquidity Preference," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(2(8)_ Sum).
    9. Mark Clintworth & Dimitrios Lyridis & Evangelos Boulougouris, 2023. "Financial risk assessment in shipping: a holistic machine learning based methodology," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(1), pages 90-121, March.
    10. Bernd Engelmann & Ha Pham, 2020. "Measuring the Performance of Bank Loans under Basel II/III and IFRS 9/CECL," Risks, MDPI, vol. 8(3), pages 1-21, September.
    11. Marielle de Jong & Lauren Stagnol, 2016. "A fundamental bond index including solvency criteria," Journal of Asset Management, Palgrave Macmillan, vol. 17(4), pages 280-294, July.
    12. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2016. "Emerging trends in Asia-Pacific finance research: A review of recent influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 66-76.
    13. Frieda Rikkers & Andre E. Thibeault, 2009. "A Structural form Default Prediction Model for SMEs, Evidence from the Dutch Market," Multinational Finance Journal, Multinational Finance Journal, vol. 13(3-4), pages 229-264, September.
    14. John Nkwoma Inekwe, 2016. "Financial Distress, Employees’ Welfare and Entrepreneurship Among SMEs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(3), pages 1135-1153, December.
    15. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Mensi, Walid & Kumar, Ronald Ravinesh, 2017. "Examining the efficiency and interdependence of US credit and stock markets through MF-DFA and MF-DXA approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 351-363.
    16. Alexander Schult & Sebastian Müller & Gunther Friedl & Alberto Spagnoli, 2024. "The Impact of Transitory Climate Risk on Firm Valuation and Financial Institutions: A Stress Test Approach," Schmalenbach Journal of Business Research, Springer, vol. 76(1), pages 63-111, March.
    17. Ali, Searat & Liu, Benjamin & Su, Jen Je, 2018. "Does corporate governance quality affect default risk? The role of growth opportunities and stock liquidity," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 422-448.
    18. Lin, Yu-Cheng & Padliansyah, Roni & Lu, Yu-Hsin & Liu, Wen-Rang, 2025. "Bankruptcy prediction: Integration of convolutional neural networks and explainable artificial intelligence techniques," International Journal of Accounting Information Systems, Elsevier, vol. 56(C).
    19. Demirovic, Amer & Kabiri, Ali & Tuckett, David & Nyman, Rickard, 2020. "A common risk factor and the correlation between equity and corporate bond returns," LSE Research Online Documents on Economics 116902, London School of Economics and Political Science, LSE Library.
    20. Anna Kovner & Peter Van Tassel, 2022. "Evaluating Regulatory Reform: Banks' Cost of Capital and Lending," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(5), pages 1313-1367, August.

    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:bpj:zfgewe:v:67:y:2017:i:4:p:245-262:n: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: Peter Golla (email available below). General contact details of provider: https://www.degruyterbrill.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.