Essays about: "Realized GARCH"

Showing result 1 - 5 of 25 essays containing the words Realized GARCH.

  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 forecasting of green and non-green cryptocurrencies. Is there a difference? : A quantitative study evaluating GARCH-models forecast accuracy

    University essay from Umeå universitet/Nationalekonomi

    Author : Agnes Lantto; [2022]
    Keywords : ;

    Abstract : Cryptocurrencies are rapidly growing. The energy consumption required to be mined is huge but differs between mining processes. This thesis proposes a definition of green and non-green cryptocurrencies depending on the mining process. Green cryptocurrencies are mined through Proof of Stake and non-green are mined trough Proof of Work. READ MORE

  6. 5. Forecasting Value-at-Risk using GARCH(1,1) and Neural Networks as Volatility Estimation Methods – A Comparative Study

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Signe Grönberg; Sofia Nilsson; [2022]
    Keywords : ;

    Abstract : Northvolt was founded in 2015 with the goal to create the world's greenest battery. Today, Northvolt is mainly funded by investors and have suppliers all over the world, which does not come risk free. READ MORE