DocumentCode :
3041178
Title :
An improved historical simulation method to estimate the amount of refined oil retail value at risk VaR
Author :
Wan, Yongtao ; Zhao, Lutao ; Zhang, Zhigang ; Ai, Dongmei
Author_Institution :
Sch. of Math. & Phys., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
2401
Lastpage :
2403
Abstract :
Value at risk, an effective measurement of financial risk, can be used to forecast the risk associated with amount of refined oil. In this paper, an improved Historical Simulation Approach, HSGF is proposed, which is based on a former approach, HSAF. By comparing it with the HS,HSAF and HSGF approach, this paper give evidence to show that HSGF has a more effective forecasting power in the field of amount of refined oil risk management.
Keywords :
financial management; oil refining; risk analysis; financial risk; improved historical simulation method; refined oil retail value amount estimation; refined oil risk management; risk VaR; value at risk; Economics; Forecasting; Marketing and sales; Petroleum; Predictive models; Reactive power; Risk management; GARCH model; historical simulation approach; value at risk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
Type :
conf
DOI :
10.1109/ICMT.2011.6002623
Filename :
6002623
Link To Document :
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