Template-Type: ReDIF-Article 1.0
Author-Name: Nataliya A. Nikiforova
Author-Email: oomka-nna@inbox.ru
Author-Workplace-Name: Budget and Treasury Academy of the Ministry of Finance of the Russian Federation, Moscow, Russia
Author-Name: Lyudmila V. Dontsova
Author-Email: dontsova.L@mtu-net.ru
Author-Workplace-Name: Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow 119571, Russia
Author-Name: Yevgeny V. Dontsov
Author-Email: don-and-home@mail.ru
Author-Workplace-Name: Lomonosov Moscow State University, Moscow, Russia
Title: Intellectual Data Analysis Methods used for Building Companies’ Financial Performance Models
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.
Classification-JEL: L21, D24
Keywords: financial performance analysis, intellectual data analysis, examination method, financial performance forecasting, data mining methodology, support vector machines (SVM), software
Journal: Finansovyj žhurnal — Financial Journal
Pages: 5-18
Issue: 2
Year: 2011
Month: April
File-URL: http://www.nifi.ru/images/FILES/Journal/Archive/2011/2/statii/2011_02_01_.pdf
File-Format: Application/pdf 
Handle: RePEc:fru:finjrn:110201:p:5-18