DocumentCode :
2890069
Title :
Data-Oriented Early Warning Indicators of Financial Crisis
Author :
Lou, Chunwei ; Kou, Gang
Author_Institution :
Sch. of Manage. & Econ., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2009
fDate :
24-26 Nov. 2009
Firstpage :
552
Lastpage :
557
Abstract :
Early 2007, the subprime crisis emerged in Wall Street of the United States, which gradually developed into the biggest credit crunch and credit crisis since the Great Depression in 1930s. The scale, the impact and the loss of the crisis has been far more than expectation. However, traditional warning indicators of economy are not able to reflect the financial status of credit market in crisis. By a thorough analysis of origins and impact of credit crisis, this paper showed the complexity and uncertainty of the derived financial instruments, and established a new early warning system (EWS) model by data mining techniques.
Keywords :
data mining; finance; credit crisis; credit market; data mining; data-oriented early warning indicators; early warning system model; financial crisis; Alarm systems; Conference management; Consumer electronics; Crisis management; Data mining; Economic indicators; Financial management; Government; Loans and mortgages; Technology management; Early Warning System; credit crisis; data mining; financial indicator; subprime crisis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5244-6
Electronic_ISBN :
978-0-7695-3896-9
Type :
conf
DOI :
10.1109/ICCIT.2009.97
Filename :
5367873
Link To Document :
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