Sökning: "GJR-GARCH"

Visar resultat 1 - 5 av 35 uppsatser innehållade ordet GJR-GARCH.

  1. 1. Forecasting Volatility of Ether- An empirical evaluation of volatility models and their capacity to forecast one-day-ahead volatility of Ether

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Johannes Marmdal; Adam Törnqvist; [2023-06-29]
    Nyckelord :Forecast; Volatility; Ether; GARCH; EWMA; SMA;

    Sammanfattning : This study evaluates the performance of volatility models in forecasting one-day-ahead volatility of the cryptocurrency Ether. The selected models are: GARCH, EGARCH, GJR-GARCH, SMA9, SMA20, and EWMA. We investigate both in-sample performance and out-of-sample performance. LÄS MER

  3. 2. Volatility Modelling in the Swedish and US Fixed Income Market : A comparative study of GARCH, ARCH, E-GARCH and GJR-GARCH Models on Government Bonds

    Kandidat-uppsats, Linköpings universitet/Nationalekonomi; Linköpings universitet/Filosofiska fakulteten

    Författare :Sebastian Mortimore; William Sturehed; [2023]
    Nyckelord :GARCH; ARCH; GJR-GARCH; E-GARCH; ARMA; Government Bonds; Volatility; Loss functions; Fixed Income Market and realized volatility.; ARCH; GARCH; GJR-GARCH; E-GARCH; Statsobligationer och Volatilitet;

    Sammanfattning : Volatility is an important variable in financial markets, risk management and making investment decisions. Different volatility models are beneficial tools to use when predicting future volatility. The purpose of this study is to compare the accuracy of various volatility models, including ARCH, GARCH and extensions of the GARCH framework. LÄS MER

  4. 3. Empirical Analysis of Joint Quantile and Expected Shortfall Regression Backtests

    Master-uppsats, Uppsala universitet/Sannolikhetsteori och kombinatorik

    Författare :Viktor Ågren; [2023]
    Nyckelord :risk metric; expected shortfall; backtest; value at risk; empirical analysis;

    Sammanfattning : In this work, we look into the practical applicability of three joint quantile and expected shortfall regression backtests. The strict, auxiliary, and intercept ESR backtests are applied to the historical log returns of the OMX Stockholm 30 market-weight price index. LÄS MER

  5. 4. Symmetry or Asymmetry: A model comparison between different ARCH-class volatility models using Bitcoin returns

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Hannes Wiklund; [2022]
    Nyckelord :GARCH; Model Confidence Set; Bitcoin; Volatility Forecasting; Business and Economics;

    Sammanfattning : 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

  7. 5. The Energy Transition: The Behavior of Renewable Energy Stock During Times of Energy Security Uncertainty : A firm-specific study of the volatility characteristics, crucial drivers & uncertainties of renewable energy stock

    Master-uppsats, Linköpings universitet/Nationalekonomi; Linköpings universitet/Filosofiska fakulteten

    Författare :Philip Igeland; Leon Schroeder; [2022]
    Nyckelord :Renewable energy; Energy security; Green metals; Uncertainty; MS-GARCH;

    Sammanfattning : The global energy sector is experiencing an transition towards renewable energy, a transition that is mainly driven by issues related to climate change and energy security. In this paper, we investigate the time-varying volatility and risk measures of renewable energy and traditional energy firms. LÄS MER