Sökning: "NIG"
Visar resultat 1 - 5 av 12 uppsatser innehållade ordet NIG.
1. Option Pricing on Levy Based Markets
Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : The development of novel methods for accurate financial market modelling has always been a significant area in financial mathematics. Therefore, this master thesis examines the applicability of three Levy processes, known as CGMY, NIG and Meixner for pricing European call and put options. LÄS MER
2. Robust motion estimation for vehicle dynamics applications using simplified models
Master-uppsats, KTH/FordonsdynamikSammanfattning : The overall aim of this thesis is to explore the accurate estimation methods for the vehicle motion with relatively cheap sensors. The vehicle states are essential to the vehicle control applications but sometimes expensive sensors are necessary to obtain accurate values. LÄS MER
3. Univariate GARCH models with realized variance
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : This essay investigates how realized variance affects the GARCH-models (GARCH, EGARCH, GJRGARCH) when added as an external regressor. The GARCH models are estimated with three different distributions; Normal-, Student’s t- and Normal inverse gaussian distribution. LÄS MER
4. Predicting Uncertainty in Financial Markets : -An empirical study on ARCH-class models ability to estimate Value at Risk
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : Value at Risk has over the last couple of decades become one of the most widely used measures of market risk. Several methods to compute this measure have been suggested. LÄS MER
5. Autoregressive Conditional Density
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : We compare two time series models: an ARMA(1,1)-ACD(1,1)-NIG model against an ARMA(1,1)-GARCH(1,1)-NIG model. Their out-of-sample performance is of interest rather than their in-sample properties. The models produce one-day ahead forecasts which are evaluated using three statistical tests: VaR-test, VaRdur-test and Berkowitz-test. LÄS MER