IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/11958.html
   My bibliography  Save this paper

The use of fuzzy logic and expert systems for rating and pricing firms: a new perspective on valuation

Author

Listed:
  • Malagoli, Stefano
  • Mastroleo, Giovanni
  • Magni, Carlo Alberto

Abstract

This paper presents an expert system aimed at evaluating firms and business units. It makes use of fuzzy logic and integrates financial, strategic, managerial aspects, processing both quantitative and qualitative information. Twenty-nine value drivers are explicitly taken into account and combined together via “if-then” rules to produce an output. The output is a real number in the interval [0,1], representing the value-creation power of the firm. The system may be used for rating, ranking and pricing firms as well as for assessing the impact of managers’ decisions on value creation and as a tool of corporate governance.

Suggested Citation

  • Malagoli, Stefano & Mastroleo, Giovanni & Magni, Carlo Alberto, 2005. "The use of fuzzy logic and expert systems for rating and pricing firms: a new perspective on valuation," MPRA Paper 11958, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:11958
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/11958/1/MPRA_paper_11958.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Myers, Stewart C., 1984. "Capital structure puzzle," Working papers 1548-84., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Carlo Alberto Magni & Giovanni Mastroleo & Marina Vignola & Gisella Facchinetti, 2009. "Strategic options and expert systems: a fruitful marriage," Proyecciones Financieras y Valoración 6122, Master Consultores.
    3. Myers, Stewart C, 1984. "The Capital Structure Puzzle," Journal of Finance, American Finance Association, vol. 39(3), pages 575-592, July.
    4. Stewart C. Myers, 1984. "Capital Structure Puzzle," NBER Working Papers 1393, National Bureau of Economic Research, Inc.
    5. Richard S Ruback, 2002. "Capital Cash Flows: A Simple Approach to Valuing Risky Cash Flows," Financial Management, Financial Management Association, vol. 31(2), Summer.
    6. Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
    7. Richard G. Sloan, 1996. "Using Earnings And Free Cash Flow To Evaluate Corporate Performance," Journal of Applied Corporate Finance, Morgan Stanley, vol. 9(1), pages 70-79, March.
    8. Magni, C. A. & Mastroleo G. & Facchinetti, G., 2001. "A Fuzzy expert system for solving ReaL-Option decision processes," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(2), pages 51-73, November.
    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. Magni, Carlo Alberto, 2004. "Rating and ranking firms with fuzzy expert systems: the case of Camuzzi," MPRA Paper 5889, University Library of Munich, Germany.

    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. Magni, Carlo Alberto, 2004. "Rating and ranking firms with fuzzy expert systems: the case of Camuzzi," MPRA Paper 5889, University Library of Munich, Germany.
    2. Carlo Alberto Magni & Stefano Malagoli & Giovanni Mastroleo, 2006. "An Alternative Approach To Firms' Evaluation: Expert Systems And Fuzzy Logic," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 195-225.
    3. Khémiri, Wafa & Noubbigh, Hédi, 2020. "Size-threshold effect in debt-firm performance nexus in the sub-Saharan region: A Panel Smooth Transition Regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 335-344.
    4. Agnieszka Kuś & Dorota Grego-Planer, 2021. "A Model of Innovation Activity in Small Enterprises in the Context of Selected Financial Factors: The Example of the Renewable Energy Sector," Energies, MDPI, vol. 14(10), pages 1-17, May.
    5. Xin Qu & Majella Percy & Fang Hu & Jenny Stewart, 2022. "Can CEO equity‐based compensation limit investment‐related agency problems?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2579-2614, June.
    6. Kim, Sang-Joon & Bae, John & Oh, Hannah, 2019. "Financing strategically: The moderation effect of marketing activities on the bifurcated relationship between debt level and firm valuation of small and medium enterprises," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 663-681.
    7. Christoph Börner & Dietmar Grichnik & Frank Reize, 2010. "Finanzierungsentscheidungen mittelständischer Unternehmer — Einflussfaktoren der Fremdfinanzierung deutscher KMU," Schmalenbach Journal of Business Research, Springer, vol. 62(2), pages 227-275, March.
    8. Drobetz, Wolfgang & Pensa, Pascal & Wöhle, Claudia B., 2004. "Kapitalstrukturtheorie in Theorie und Praxis: Ergebnisse einer Fragebogenuntersuchung," Working papers 2004/09, Faculty of Business and Economics - University of Basel.
    9. Jacek Jaworski & Leszek Czerwonka, 2021. "Determinants of Enterprises’ Capital Structure in Energy Industry: Evidence from European Union," Energies, MDPI, vol. 14(7), pages 1-21, March.
    10. Ana Venâncio & João Jorge, 2022. "The role of accelerator programmes on the capital structure of start-ups," Small Business Economics, Springer, vol. 59(3), pages 1143-1167, October.
    11. Rafal M. Wojakowski & M. Shahid Ebrahim & Aziz Jaafar & Murizah Osman Salleh, 2019. "Can Loan Valuation Adjustment (LVA) approach immunize collateralized debt from defaults?," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 28(2), pages 141-158, May.
    12. Silvia Magri, 2014. "Does issuing equity help R&D activity? Evidence from unlisted Italian high-tech manufacturing firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(8), pages 825-854, November.
    13. Stefan Ambec & Michel Poitevin, 2000. "Organizational Design of R & D Activities," Econometric Society World Congress 2000 Contributed Papers 0190, Econometric Society.
    14. Valérie Revest & Alessandro Sapio, 2012. "Financing technology-based small firms in Europe: what do we know?," Small Business Economics, Springer, vol. 39(1), pages 179-205, July.
    15. Erkan, Asligul & Nguyen, Trung, 2021. "Does inside debt help mitigate agency problems? The case with investment inefficiency and payout policies," Finance Research Letters, Elsevier, vol. 39(C).
    16. Bouzguenda, Karima, 2018. "Emotional intelligence and financial decision making: Are we talking about a paradigmatic shift or a change in practices?," Research in International Business and Finance, Elsevier, vol. 44(C), pages 273-284.
    17. Imen Derouiche & Majdi Hassan & Sarra Amdouni, 2018. "Ownership structure and investment-cash flow sensitivity," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 22(1), pages 31-54, March.
    18. Saurabh Chadha & Anil K. Sharma, 2015. "Capital Structure and Firm Performance: Empirical Evidence from India," Vision, , vol. 19(4), pages 295-302, December.
    19. Thi Hong Hoang & Călin Gurău & Amine Lahiani & Thuy-Luu Seran, 2018. "Do crises impact capital structure? A study of French micro-enterprises," Small Business Economics, Springer, vol. 50(1), pages 181-199, January.
    20. Piotr Boguszewski & Maria Lissowska, 2012. "Low Reliance on Credit Among Polish Firms: A Blessing in Disguise at a Time of Financial Crisis?," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 7-8, pages 1-25.

    More about this item

    Keywords

    Firm valuation; fuzzy logic; expert system; acquisition; rating; pricing;
    All these keywords.

    JEL classification:

    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

    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:11958. 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.