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Intellectual Data Analysis Methods used for Building Companies’ Financial Performance Models

Author

Listed:
  • Nataliya A. Nikiforova

    (Budget and Treasury Academy of the Ministry of Finance of the Russian Federation, Moscow, Russia)

  • Lyudmila V. Dontsova

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow 119571, Russia)

  • Yevgeny V. Dontsov

    (Lomonosov Moscow State University, Moscow, Russia)

Abstract

The paper authors dwell on the use of a new instrument used for companies’ financial performance model building. The instrument used for intellectual data analysis is called support vector machines (SVM). Having examined company data collected from 150 companies based in Moscow, the article authors describe in detail how the SVM can be used in financial statement analysis.

Suggested Citation

  • Nataliya A. Nikiforova & Lyudmila V. Dontsova & Yevgeny V. Dontsov, 2011. "Intellectual Data Analysis Methods used for Building Companies’ Financial Performance Models," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 2, pages 5-18, April.
    • Handle: RePEc:fru:finjrn:110201:p:5-18
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    More about this item

    Keywords

    financial performance analysis; intellectual data analysis; examination method; financial performance forecasting; data mining methodology; support vector machines (SVM); software;
    All these keywords.

    JEL classification:

    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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