Sökning: "GARCH Method"

Visar resultat 1 - 5 av 67 uppsatser innehållade orden GARCH Method.

  1. 1. Into the Trading Book: Estimating Expected Shortfall

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Robin Eric Schmutz; Leonard Schneider; [2023]
    Nyckelord :Expected shortfall; Trading book; Historical simulation; Parametric estimation; Backtesting; Business and Economics;

    Sammanfattning : In light of the revised 2019 proposals constituting the Fundamental Review of the Trading Book, which amend the third Basel Accord, expected shortfall is set to replace value at risk as the risk measure dictating banks' capital reserving requirements for exposure to market risk. This paper examines how best to accurately estimate expected shortfall from a regulatory perspective by carrying out an array of non-parametric as well as parametric methods over the recent years of financial instability. LÄS MER

  3. 2. Modelling Risk in Real-Life Multi-Asset Portfolios

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Karin Hahn; Axel Backlund; [2023]
    Nyckelord :Risk modelling; multi-asset portfolios; risk factor models; time series analysis; regression; Riskmodellering; finansiella portföljer; riskfaktormodeller; tidsserieanalys; regression;

    Sammanfattning : We develop a risk factor model based on data from a large number of portfolios spanning multiple asset classes. The risk factors are selected based on economic theory through an analysis of the asset holdings, as well as statistical tests. LÄS MER

  4. 3. Copula approach to fitting bivariate time series

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Jun Wang; [2023]
    Nyckelord :VaR; Copula; ARMA-GARCH; Extreme Value Theory; GPD; Hill estimator; Mathematics and Statistics;

    Sammanfattning : 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

  5. 4. Stock Price Prediction Using Machine Learning

    Magister-uppsats, Södertörns högskola/Nationalekonomi

    Författare :Yixin Guo; [2022]
    Nyckelord :Machine Learning; Stock Price; Time Series Data; Deep Learning;

    Sammanfattning : Accurate prediction of stock prices plays an increasingly prominent role in the stock market where returns and risks fluctuate wildly, and both financial institutions and regulatory authorities have paid sufficient attention to it. As a method of asset allocation, stocks have always been favored by investors because of their high returns. LÄS MER

  7. 5. Improving term structure measurements by incorporating steps in a multiple yield curve framework

    Master-uppsats, Linköpings universitet/Produktionsekonomi

    Författare :Gustav Villwock; Clara Rydholm; [2022]
    Nyckelord :Finance; Interest rates; Term structure measurement; Monte Carlo; Financial mathematics; Yield curve; Policy rates; Multiple yield curve framework; Stochastic programming; Risk factor modeling; Hedging; Performance attribution; Principle component analysis; GARCH; Maximum likelihood estimation; Copula;

    Sammanfattning : By issuing interest rate derivative contracts, market makers such as large banks are exposed to undesired risk. There are several methods for banks to hedge themselves against this type of risk; one such method is the stochastic programming model developed by Blomvall and Hagenbjörk (2022). LÄS MER