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

Nataliya A. Nikiforova (), Lyudmila V. Dontsova () and Yevgeny V. Dontsov ()
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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

Finansovyj žhurnal — Financial Journal, 2011, issue 2, 5-18

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.

Keywords: financial performance analysis; intellectual data analysis; examination method; financial performance forecasting; data mining methodology; support vector machines (SVM); software (search for similar items in EconPapers)
JEL-codes: D24 L21 (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:fru:finjrn:110201:p:5-18

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