Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/66733
Authors: 
Makiel, Kamil
Year of Publication: 
2012
Citation: 
[Journal:] e-Finanse: Financial Internet Quarterly [ISSN:] 1734-039X [Volume:] 8 [Year:] 2012 [Issue:] 2 [Pages:] 25-33
Abstract: 
This paper determines whether the VaR estimation is influenced by conditional distribution of return rates (normal, t-student, GED) and attempts to choose the model which best estimates VaR on a selected example. We considered logarithmic return rates for the WIG-20 index from 1999-2011. Then, on their basis we estimates various types of ARIMA-GARCH (1,1) models. Applying relevant models we calculated VaR for the long and short position. The differences between the models were settled on the basis of the Kupiec test.
Subjects: 
VaR
risk
GARCH
JEL: 
G10
C58
Document Type: 
Article

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