Sökning: "Student s t-distribution"
Visar resultat 6 - 10 av 30 uppsatser innehållade orden Student s t-distribution.
6. Value at Risk and Expected Shortfall risk measures using Extreme Value Theory
Magister-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistikSammanfattning : Calculating risk measures as Value at Risk (VaR) and Expected Shortfall (ES) has become popular for institutions and agents in financial markets. A main drawback with these risk measures is that they traditionally assume a specific distribution, as the Normal distribution or the Student’s t distribution. LÄS MER
7. GARCH models applied on Swedish Stock Exchange Indices
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : In the financial industry, it has been increasingly popular to measure risk. One of the most common quantitative measures for assessing risk is Value-at-Risk (VaR). VaR helps to measure extreme risks that an investor is exposed to. LÄS MER
8. 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
9. Expected Shortfall Estimation
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : This thesis evaluates the performance of Expected Shortfall estimation with normal, student-t and skewed distributions. It is stylized fact that student-t distribution generally outperforms normal distribution. LÄS MER
10. Outlier-Robust Dynamic Portfolio Optimization based on Bear-Bull-Regimes
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The work in this thesis is meant to improve an existing algorithm described in Nystrup (2017). As the original model uses a normal distribution to approximate the daily logarithmic returns, the authors of this thesis aim to improve the approximation by using Student’s t-distribution which may be a better approximation of financial data. LÄS MER