Sökning: "Realized GARCH"

Visar resultat 1 - 5 av 25 uppsatser innehållade orden Realized GARCH.

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

    Kandidat-uppsats,

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

    Sammanfattning : 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. LÄS MER

  3. 2. 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

  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

    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

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

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Nationalekonomi

    Författare :Agnes Lantto; [2022]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

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

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Signe Grönberg; Sofia Nilsson; [2022]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER