Sökning: "GARCH modeling"
Visar resultat 11 - 15 av 32 uppsatser innehållade orden GARCH modeling.
11. Managing Risk with Energy Commodities using Value-at-Risk and Extreme Value Theory
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : Today’s society requires an endless supply of energy resources to keep functioning properly. The fluctuations in the prices of energy commodities are always a concern as it affects not only investors, but regular households as well. LÄS MER
12. Hierarchical clustering of market risk models
Master-uppsats, KTH/Matematisk statistikSammanfattning : This thesis aims to discern what factors and assumptions are the most important in market risk modeling through examining a broad range of models, for different risk measures (VaR0.01, S0:01 and ES0:025) and using hierarchical clustering to identify similarities and dissimilarities between the models. LÄS MER
13. Statistisk undersökning av valutakurser : En jämförelse mellan olika prognosmodeller
Kandidat-uppsats, Stockholms universitet/Statistiska institutionenSammanfattning : Valutamarknaden är världens största marknad och en nödvändig del av dagens globala samhälle, som gör det möjligt för företag att göra affärer i olika valutor och mellan olika gränser. Marknaden utgör en stor handelsplattform för både små och stora aktörer, för vilka det är viktigt att prognostisera valutakurser med gott resultat. LÄS MER
14. Prediction of Volatility and Value at Risk with Copulas for Portfolios of Commodities
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Value at Risk (VaR) is a popular measurement for valuing the risk exposure. Correct estimates of VaR are essential in order to properly be able to monitor the risk. This thesis examines a copula approach for estimating VaR for portfolios of commodities. The predictions are made from a semi- parametric model with Monte Carlo methods. LÄS MER
15. Modeling exchange rate using symmetric and asymmetric GARCH models
Master-uppsats, KTH/Matematisk statistikSammanfattning : This paper attempts to study GARCH-type models, with emphasis on fitting GARCH models to exchange rate return series. The symmetric GARCH(1,1) model is compared with the asymmetric EGARCH(1,1) model. Both models are analysed with different conditional distributions, namely Normal, Student's t and skew Student's t for the return innovation. LÄS MER