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Financial Early Warning System for Risk Detection and Prevention from Financial Crisis

Financial Early Warning System for Risk Detection and Prevention from Financial Crisis

Nermin Ozgulbas, Ali Serhan Koyuncugil
Copyright: © 2011 |Pages: 33
ISBN13: 9781616928650|ISBN10: 1616928654|EISBN13: 9781616928674
DOI: 10.4018/978-1-61692-865-0.ch005
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MLA

Ozgulbas, Nermin, and Ali Serhan Koyuncugil. "Financial Early Warning System for Risk Detection and Prevention from Financial Crisis." Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection, edited by Ali Serhan Koyuncugil and Nermin Ozgulbas, IGI Global, 2011, pp. 76-108. https://doi.org/10.4018/978-1-61692-865-0.ch005

APA

Ozgulbas, N. & Koyuncugil, A. S. (2011). Financial Early Warning System for Risk Detection and Prevention from Financial Crisis. In A. Koyuncugil & N. Ozgulbas (Eds.), Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection (pp. 76-108). IGI Global. https://doi.org/10.4018/978-1-61692-865-0.ch005

Chicago

Ozgulbas, Nermin, and Ali Serhan Koyuncugil. "Financial Early Warning System for Risk Detection and Prevention from Financial Crisis." In Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection, edited by Ali Serhan Koyuncugil and Nermin Ozgulbas, 76-108. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-865-0.ch005

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Abstract

Risk management has become a vital topic for all enterprises especially in financial crisis periods. All enterprises need systems to warn against risks, detect signs and prevent from financial distress. Before the global financial crisis that began 2008, small and medium-sized enterprises (SMEs) have already fought with important financial issues. The global financial crisis and the ensuring flight away from risk have affected SMEs more than larger enterprises When we consider these effects, besides the issues of poor business performance, insufficient information and insufficiencies of managers in finance education, it is clear that early warning systems (EWS) are vital for SMEs for detection risk and prevention from financial crisis. The aim of this study is to develop and present a financial EWS for risk detection via data mining. For this purpose, data of SMEs listed in Istanbul Stock Exchange (ISE) and Chi-Square Automatic Interaction Detector (CHAID) Decision Tree Algorithm were used. By using EWS, we determined the risk profiles and risk signals for risk detection and road maps for risk prevention from financial crisis.

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