Essays about: "garch forecasting"

Showing result 1 - 5 of 86 essays containing the words garch forecasting.

  1. 1. Volatility Forecasting - A comparative study of different forecasting models.

    University essay from

    Author : Emil Sturesson; Anton Wennström; [2023-06-29]
    Keywords : Volatility; GARCH; EGARCH; t-GAS; HAR-RV; Realized GARCH; Volatility Forecasting; Volatility Modelling;

    Abstract : This study evaluates the out-of-sample forecasting performance of different volatility mod- els. When applied to XACT OMXS30, we use GARCH(1,1), EGARCH(1,1), and t- GAS(1,1) to forecast squared daily returns while Realized GARCH(1,1) and HAR-RV are used to forecast Realized Variance. READ MORE

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

    University essay from Göteborgs universitet/Graduate School

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

    Abstract : 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. READ MORE

  4. 3. 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

    University essay from Linköpings universitet/Nationalekonomi; Linköpings universitet/Filosofiska fakulteten

    Author : Sebastian Mortimore; William Sturehed; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  5. 4. Volatility & The Black Swan : Investigation of Univariate ARCH-models, HARRV and Implied Volatility in Nasdaq100 amid Covid19

    University essay from Uppsala universitet/Nationalekonomiska institutionen

    Author : Karl Tingstedt; [2022]
    Keywords : SV; ARCH; GARCH; TARCH; EGARCH; HARRV; IV; RV; Integrated Volatility; TINA;

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Nationalekonomiska institutionen

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

    Abstract : 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. READ MORE