A master thesis from Aalborg University
Value-at-Risk Estimation: A Copula-GARCH Approach
Author(s)
Term
4. term
Education
Publication year
2023
Submitted on
2023-06-01
Pages
79 pages
Abstract
Specialet indeholder en analyse af Value-at-Risk af en portefølje indeholdende de 10 største aktier fra S&P500 indekset. Porteføljen er konstrueret som en copula-GARCH model og risikoen er evalueret baseret på Monte Carlo estimation. Derudover er der lavet en sammenligning med den parametriske Value-at-Risk af S&P500 indekset.
The thesis contains an analysis of the Value-at-Risk of a portfolio consisting of the 10 largest assets of the S&P500 index. The portfolio is constructed as a copula-GARCH model and the risk is evaluated based on Monte Carlo estimations. Moreover, a comparison is made with the parametric Value-at-Risk of the S&P500 Index.
Keywords
copula ; ARMA-GARCH ; Value-at-Risk ; S&P500
Documents
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