DocumentCode :
1927259
Title :
Local government debt risk early-warning system and empirical analysis
Author :
Yanming, Kao ; Hongfu, Ding ; Turay, Brima
Author_Institution :
Sch. of Econ., Liaoning Univ., Shenyang, China
fYear :
2010
fDate :
8-10 Aug. 2010
Firstpage :
13
Lastpage :
15
Abstract :
Firstly, the methods of “financial particle theory” and “objective decomposition” are used in this paper to select the typical indexes from three sectors of “borrowing, using & repaying” and all sectors corresponding weight are shown, combined with “risk mapping”; Secondly, the range and claim-size distributions of all indexes are shown in international standard, and the risk factors are calculated; Finally, the paper draws the conclusion that the analysis report is consistent with the current situation combined with case analysis. So, local government policy makers can take appropriate measures to prevent and control the occurrence of debt risk based on the conclusion above.
Keywords :
financial data processing; government policies; local government; risk analysis; case analysis; claim-size distributions; empirical analysis; financial particle theory; local government debt risk early-warning system; local government policy makers; objective decomposition; risk factors; risk mapping; Biological system modeling; Cities and towns; Economics; Europe; Predictive models; Early-warning System; Financial Particle Theory; Government Debt; Risk Mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emergency Management and Management Sciences (ICEMMS), 2010 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6064-9
Type :
conf
DOI :
10.1109/ICEMMS.2010.5563515
Filename :
5563515
Link To Document :
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