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Financial Econometrics: A Comparison of GARCH type Model Performances when Forecasting VaR

This essay investigates three different GARCH-models (GARCH, EGARCH and GJR-GARCH) along with two distributions (Normal and Student’s t), which are used to forecast the Value at Risk (VaR) for different return series. Seven major international equity indices are examined. The purpose of the essay is to answer which of the three models that is better at forecasting the VaR and which distribution is more appropriate.  The results show that the EGARCH(1,1)  is preferred for all indices included in the study.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-243245
Date January 2015
CreatorsAndersson, Oscar, Haglund, Erik
PublisherUppsala universitet, Statistiska institutionen, Uppsala universitet, Statistiska institutionen
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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