IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/21595.html
   My bibliography  Save this paper

Voting Features based Classifier with Feature Construction and its Application to Predicting Financial Distress

Author

Listed:
  • Guvenir, H. Altay
  • Cakir, Murat

Abstract

Voting features based classifiers, shortly VFC, have been shown to perform well on most real-world data sets. They are robust to irrelevant features and missing feature values. In this paper, we introduce an extension to VFC, called voting features based classifier with feature construction, VFCC for short, and show its application to the problem of predicting if a bank will encounter financial distress, by analyzing current financial statements. The previously developed VFC learn a set of rules that contain a single condition based on a single feature in their antecedent. The VFCC algorithm proposed in this work, on the other hand, constructs rules whose antecedents may contain conjuncts based on several features. Experimental results on recent financial ratios of banks in Turkey show that the VFCC algorithm achieves better accuracy than other well-known rule learning classification algorithms.

Suggested Citation

  • Guvenir, H. Altay & Cakir, Murat, 2009. "Voting Features based Classifier with Feature Construction and its Application to Predicting Financial Distress," MPRA Paper 21595, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:21595
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/21595/1/MPRA_paper_21595.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fukuda, Shin-ichi & Kasuya, Munehisa & Akashi, Kentaro, 2009. "Impaired bank health and default risk," Pacific-Basin Finance Journal, Elsevier, vol. 17(2), pages 145-162, April.
    2. G. Lanine & R. Vander Vennet, 2005. "Failure prediction in the Russian bank sector with logit and trait recognition models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/329, Ghent University, Faculty of Economics and Business Administration.
    3. Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2008. "Impaired Bank Health and Default Risk ( Forthcoming in "Pacific-Basin Finance Journal". )," CARF F-Series CARF-F-122, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    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. Murat Cakir, 2017. "A conceptual design of "what and how should a proper macro-prudential policy framework be?" A globalistic approach to systemic risk and procuring the data needed," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Uses of central balance sheet data offices' information, volume 45, Bank for International Settlements.

    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. Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2007. "The Role of Trade Credit for Small Firms : An Implication from Japan’s Banking Crisis," Finance Working Papers 22596, East Asian Bureau of Economic Research.
    2. De Veirman, Emmanuel & Levin, Andrew T., 2012. "When did firms become more different? Time-varying firm-specific volatility in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 26(4), pages 578-601.
    3. Shin-ichi Fukuda & Munehisa Kasuya & Jouchi Nakajima, 2005. "Deteriorating Bank Health and Lending in Japan: Evidence from Unlisted Companies Undergoing Financial Distress (Subsequently published in "Journal of the Asia Pacific Economy" Vo.11, No.4, D," CARF F-Series CARF-F-042, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    4. E. Labro & M. Vanhoucke, 2005. "A simulation analysis of interactions between errors in costing system design," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/333, Ghent University, Faculty of Economics and Business Administration.
    5. Sun, Junjie & Wu, Deming & Zhao, Xinlei, 2018. "Systematic risk factors and bank failures," Journal of Economics and Business, Elsevier, vol. 98(C), pages 1-18.
    6. J. Albrecht & M. Neyt & T. Verbeke, 2005. "Bureaucratisation and the growth of health care expenditures in Europe," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/335, Ghent University, Faculty of Economics and Business Administration.
    7. Ellis Kofi, Akwaa-Sekyi & Portia, Bosompra, 2015. "Determinants of business loan default in Ghana," MPRA Paper 71961, University Library of Munich, Germany.
    8. Shin‐ichi Fukuda & Jun‐ichi Nakamura, 2011. "Why Did ‘Zombie’ Firms Recover in Japan?," The World Economy, Wiley Blackwell, vol. 34, pages 1124-1137, July.
    9. Miyajima, Hideaki & Yafeh, Yishay, 2007. "Japan's banking crisis: An event-study perspective," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2866-2885, September.
    10. Jaizah Othman & Mehmet Asutay, 2018. "Integrated early warning prediction model for Islamic banks: the Malaysian case," Journal of Banking Regulation, Palgrave Macmillan, vol. 19(2), pages 118-130, April.
    11. Shin-ichi Fukuda & Munehisa Kasuya & Kentaro Akashi, 2007. "The Role of Trade Credit for Small Firms: An Implication from Japan's Banking Crisis," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 3(1), pages 27-50, December.
    12. P. Windels & J. Christiaens, 2005. "Management Reform in Flemish Local Authorities: Testing the Institutional Framework," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/331, Ghent University, Faculty of Economics and Business Administration.
    13. W. Bruggeman & P. Everaert & S. R. Anderson & Y. Levant, 2005. "Modeling Logistics Costs using Time-Driven ABC: A Case in a Distribution Company," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/332, Ghent University, Faculty of Economics and Business Administration.
    14. HONDA Tomohito & ONO Arito & UESUGI Iichiro & YASUDA Yukihiro, 2023. "Anatomy of Out-of-court Debt Workouts for SMEs," Discussion papers 23088, Research Institute of Economy, Trade and Industry (RIETI).
    15. Jan Lepoutre & Nikolay Dentchev & Aimé Heene, 2007. "Dealing With Uncertainties When Governing CSR Policies," Journal of Business Ethics, Springer, vol. 73(4), pages 391-408, July.
    16. Beata Gavurova & Miroslava Packova & Maria Misankova & Lubos Smrcka, 2017. "Predictive potential and risks of selected bankruptcy prediction models in the Slovak business environment," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(6), pages 1156-1173, November.
    17. Salvador Marín Hernández & Ester Gras Gil & Marcos Antón Renart, 2011. "Financial information and restructuring of spanish savings banks in a context of crisis. Changes in the regulation; content and evolution of FROB," CIRIEC-España, revista de economía pública, social y cooperativa, CIRIEC-España, issue 73, pages 99-126, October.
    18. Ekaterina Tzvetanova, 2019. "Adaptation of the Altman’s Corporate Insolvency Prediction Model – The Bulgarian Case," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 125-142.
    19. L. Pozzi, 2005. "Income Uncertainty and Aggregate Consumption," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/334, Ghent University, Faculty of Economics and Business Administration.
    20. Maarten Dossche & Gerdie Everaert, 2005. "Measuring Inflation Persistence: A Structural Time Series Approach," Computing in Economics and Finance 2005 459, Society for Computational Economics.

    More about this item

    Keywords

    Classification; Voting; Feature construction; Financial distress; Feature projections;
    All these keywords.

    JEL classification:

    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:pra:mprapa:21595. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.