IDEAS home Printed from https://ideas.repec.org/a/wly/isacfm/v26y2019i1p16-31.html
   My bibliography  Save this article

Assessing qualitative similarities between financial reporting frameworks using visualization and rules: COREP vs. pillar 3

Author

Listed:
  • Wenmei Yang
  • Adriano S. Koshiyama

Abstract

Financial institutions are struggling with larger volume, more specific and greater frequency of regulatory reporting after the global financial crisis in 2008, especially those that need to report to multiple jurisdictions. To help to improve reporting efficiency, this paper aims to assess the existence of similarities between templates related to credit and counter party credit risk of COREP and Pillar 3 regulatory reporting frameworks by applying Correspondence Analysis and Association Rules Mining. Our results suggest a high degree of overlap between these reporting frameworks, more prominently the three business functions as Front office, Finance and Risk. These patterns can be used as guidance for financial institutions to reshape their reporting architecture.

Suggested Citation

  • Wenmei Yang & Adriano S. Koshiyama, 2019. "Assessing qualitative similarities between financial reporting frameworks using visualization and rules: COREP vs. pillar 3," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 26(1), pages 16-31, January.
    • Handle: RePEc:wly:isacfm:v:26:y:2019:i:1:p:16-31
    DOI: 10.1002/isaf.1441
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/isaf.1441
    Download Restriction: no
    File URL: https://libkey.io/10.1002/isaf.1441?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. Hans Degryse, 2009. "Competition between financial markets in Europe: what can be expected from MiFID?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 23(1), pages 93-103, March.
    2. Fontana, Alessandro & Scheicher, Martin, 2016. "An analysis of euro area sovereign CDS and their relation with government bonds," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 126-140.
    3. Manuel Kleinknecht & Wing Lon Ng, 2015. "Minimizing Basel III Capital Requirements with Unconditional Coverage Constraint," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(4), pages 263-281, October.
    4. Jon Poynter & James Winder & Tzu Tai, 2015. "An analysis of co-movements in industrial sector indices over the last 30 years," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 69-88, January.
    5. Christian Leuz & Peter D. Wysocki, 2016. "The Economics of Disclosure and Financial Reporting Regulation: Evidence and Suggestions for Future Research," Journal of Accounting Research, Wiley Blackwell, vol. 54(2), pages 525-622, May.
    6. Klaus Jaffe, 2014. "Visualizing the Invisible Hand of Markets: Simulating complex dynamic economic interactions," Papers 1412.6924, arXiv.org, revised Apr 2015.
    7. Michael Greenacre & Rafael Pardo, 2006. "Subset Correspondence Analysis," Sociological Methods & Research, , vol. 35(2), pages 193-218, November.
    8. Giovanni Covi, 2017. "The emerging regulatory landscape: a new normal," Journal of Banking Regulation, Palgrave Macmillan, vol. 18(3), pages 233-255, July.
    9. Költringer, Clemens & Dickinger, Astrid, 2015. "Analyzing destination branding and image from online sources: A web content mining approach," Journal of Business Research, Elsevier, vol. 68(9), pages 1836-1843.
    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. Svetlana Zhuchkova & Aleksei Rotmistrov, 2022. "How to choose an approach to handling missing categorical data: (un)expected findings from a simulated statistical experiment," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 1-22, February.
    2. Tao Liu & Ying Zhang & Huan Zhang & Xiping Yang, 2021. "A Methodological Workflow for Deriving the Association of Tourist Destinations Based on Online Travel Reviews: A Case Study of Yunnan Province, China," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    3. Klaus Jaffe, 2015. "Agent based simulations visualize Adam Smith's invisible hand by solving Friedrich Hayek's Economic Calculus," Papers 1509.04264, arXiv.org, revised Nov 2015.
    4. Ronelle Burger & Canh Thien Dang & Trudy Owens, 2017. "Better performing NGOs do report more accurately: Evidence from investigating Ugandan NGO financial accounts," Discussion Papers 2017-10, University of Nottingham, CREDIT.
    5. Sebastian Kaumanns, 2019. "“Some fuzzy math”: relational information on debt value adjustments by managers and the financial press," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 755-794, December.
    6. Oleh Pasko & Mykola Hordiyenko & Fuli Chen & Yarmila Tkal & Yulia Abraham, 2021. "Mapping Global Research on International Financial Reporting Standards: A Scientometric Review," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(3), pages 116-134, May.
    7. Serge Darolles & Jeremy Dudek & Gaëlle Le Fol, 2014. "Liquidity risk and contagion for liquid funds," Post-Print hal-01632776, HAL.
    8. Peng, Wei, 2021. "The transmission of default risk between banks and countries based on CAViaR models," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 500-509.
    9. Suman Banerjee & Saul Estrin & Sarmistha Pal, 2022. "Corporate disclosure, compliance and consequences: evidence from Russia," The European Journal of Finance, Taylor & Francis Journals, vol. 28(17), pages 1770-1802, November.
    10. Rolf Uwe Fülbier & Thorsten Sellhorn, 2023. "Understanding and improving the language of business: How accounting and corporate reporting research can better serve business and society," Journal of Business Economics, Springer, vol. 93(6), pages 1089-1124, August.
    11. D’Errico, Marco & Battiston, Stefano & Peltonen, Tuomas & Scheicher, Martin, 2018. "How does risk flow in the credit default swap market?," Journal of Financial Stability, Elsevier, vol. 35(C), pages 53-74.
    12. Breuer, Matthias, 2017. "How Does Financial-Reporting Regulation Affect Market-Wide Resource Allocation?," Working Papers 270, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    13. Mariya Paskaleva & Ani Stoitsova-Stoykova, 2017. "Linkages and Efficiency Between iTraxx Europe and Financial Market Dynamics in South-East Europe Capital Markets in Post-crisis Period," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 172-179.
    14. Stefano Cascino & Ane Tamayo & Felix Vetter, 2021. "Labor Market Effects of Spatial Licensing Requirements: Evidence from CPA Mobility," Journal of Accounting Research, Wiley Blackwell, vol. 59(1), pages 111-161, March.
    15. Niccolò Battistini & Marco Pagano & Saverio Simonelli, 2014. "Systemic risk, sovereign yields and bank exposures in the euro crisis [Real effects of the sovereign debt crises in Europe: evidence from syndicated loans]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 29(78), pages 203-251.
    16. J. Alsubaiei, Bader & Calice, Giovanni & Vivian, Andrew, 2021. "Sovereign CDS and mutual funds: Global evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    17. Zubair Ali Raja & William J. Procasky & Renee Oyotode-Adebile, 2020. "The Relative Role of Sovereign CDS and Bond Markets in Efficiently Pricing Emerging Market Sovereign Credit Risk," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 19(3), pages 296-325, December.
    18. Guidolin, Massimo & Pedio, Manuela & Tosi, Alessandra, 2021. "Time-varying price discovery in sovereign credit markets," Finance Research Letters, Elsevier, vol. 38(C).
    19. Aghanya, Daniel & Agarwal, Vineet & Poshakwale, Sunil, 2020. "Market in Financial Instruments Directive (MiFID), stock price informativeness and liquidity," Journal of Banking & Finance, Elsevier, vol. 113(C).
    20. Adhikari, Ajay & Bansal, Manish & Kumar, Ashish, 2021. "IFRS convergence and accounting quality: India a case study," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 45(C).

    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:wly:isacfm:v:26:y:2019:i:1:p:16-31. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1099-1174/ .

    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.