ISSN: 2450-7741
eISSN: 2300-4460
OAI
DOI: 10.18276/frfu.2017.88/1-39
Issue archive /
4/2017
Wykorzystanie modelu CART-Logit do analizy fałszerstw sprawozdań finansowych
(THE HYBRID CART-LOGIT MODEL APPLICATION IN THE DETECTION OF FALSIFIED FINANCIAL STATEMENT)
| Authors: |
Marek
Sylwestrzak
Wydział Nauk Ekonomicznych Uniwersytetu Warszawskiego |
| Keywords: | logit regression decision trees accounting fraud American market |
| Data publikacji całości: | 2017 |
| Page range: | 10 (403-412) |
Abstract
Purpose – The elaboration a hybrid CART-Logit model to detection of the financial statement fraud based on the financial data from the US companies accused by the US Securities and Exchange Commission manipulating financial statements of the rule 10(b)-5 Securities Exchange Act between 2000–2007.
Design/methodology/approach – In the study a hybrid CART-Logit model is used with ten financial ratios.
Findings – The results con rm that a hybrid model had greater predictive power than ordinary logistic regression. The inclusion of the Altman model increased the accuracy of the method. The analysis con rmed that that the most sensitive position in financial statement is cash.
Originality/value – The article is an empirical analysis of capabilities in detection of financial statements fraud based on new research method.
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