Sökning: "GARCH model"
Visar resultat 1 - 5 av 266 uppsatser innehållade orden GARCH model.
1. Exploring the Idiosyncratic Volatility Anomaly in the Swedish Stock Market: An Empirical Analysis of its Impact on Returns
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : We examine the cross-sectional relationship between idiosyncratic volatility relative to the Fama-French three factor model and expected stock returns. We find that portfolios containing the firms with the lowest idiosyncratic risk offers excess returns in relation to the prediction of the Fama-French three factor model, while those with the highest idiosyncratic risk do not. LÄS MER
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 SchoolSammanfattning : 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. Value at Risk Estimation using GARCH Family Models: A Comparison of Different Specifications and Distributions.
Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistikSammanfattning : The objective of this study is to compare the performance of different GARCH models, under various conditional distribution assumptions, to predict one-day-ahead Value-at-Risk (VaR) for three stocks: Swedbank, Handelsbanken, and SEB over the Covid-19 period. The performance is evaluated using Kupiec, Christoffersen tests and the Quadratic Loss. LÄS MER
4. 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 fakultetenSammanfattning : 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. Exchange Rate Analysis Between the U.S. Dollar and the Japanese Yen
Kandidat-uppsats, Uppsala universitet/Statistik, AI och data scienceSammanfattning : The exchange data between the U.S. Dollar and Japanese Yen are analyzed with three models called the Auto-Regressive Integrated Moving- Average (ARIMA) model, the Generalized Auto-Regressive Conditional Heteroscedastic (GARCH) model, and the Fractional Differencing model. LÄS MER