Sökning: "GARCH models"
Visar resultat 11 - 15 av 217 uppsatser innehållade orden GARCH models.
11. Wind Power and Electricity Price Dynamics : An Empirical Analysis on the Swedish Day-Ahead Market
Kandidat-uppsats, Umeå universitet/NationalekonomiSammanfattning : Facing large-scale electrification, Swedish electricity markets are projected to undergo fundamental changes over the next decades. With climate protection goals in mind, wind-powered electricity will play a crucial role in supplying tomorrow’s electricity to Swedish households and industry. LÄS MER
12. Copula approach to fitting bivariate time series
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : We apply the GARCH-copula method to estimate Value at Risk (VaR) for European and Stockholm stock indices. First, marginal distributions are estimated by the ARMA-GARCH model with normal, Student-t, and skewed t distributions. LÄS MER
13. The Impact of Financial Crises and Natural Disasters on the US Catastrophe Bond Market
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : Catastrophe (CAT) bonds bring the needs of (re)insurance companies and investors together: They insure against natural disasters by transferring risk to the capital market while at the same time promising high returns and a certain detachment from financial markets. Being an alternative investment class that has been on the rise only in recent years, academic research on CAT bonds is comparatively limited. LÄS MER
14. Volatility & The Black Swan : Investigation of Univariate ARCH-models, HARRV and Implied Volatility in Nasdaq100 amid Covid19
Master-uppsats, Uppsala universitet/Nationalekonomiska institutionenSammanfattning : Covid19 hit the world’s financial markets by surprise in March 2020 and ensuing volatility marked an end to the prior low-volatility environment. This Black Swan engendered numerous publications establishing how the equity market responded to the exogenous shock. LÄS MER
15. Symmetry or Asymmetry: A model comparison between different ARCH-class volatility models using Bitcoin returns
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : This thesis will in turn evaluate the forecast performance of different ARCH-type models' forecast ability using Bitcoin returns from 01-04-2015 to 01-04-2022. More specifically, it is of interest to see if a simple GARCH(1,1) model can outperform more sophisticated models that incorporate the asymmetry in volatility. LÄS MER