Essays about: "GARCH volatility model"
Showing result 1 - 5 of 168 essays containing the words GARCH volatility model.
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1. Exploring the Idiosyncratic Volatility Anomaly in the Swedish Stock Market: An Empirical Analysis of its Impact on Returns
University essay from Göteborgs universitet/Graduate SchoolAbstract : 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. READ MORE
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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 SchoolAbstract : 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
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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 fakultetenAbstract : 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
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4. Exploring the Factors Contributing to Bond Yield Spreads : A Garch Approach
University essay from Linnéuniversitetet/Institutionen för nationalekonomi och statistik (NS)Abstract : The goal of this study is to explore which factors contribute to bond yield spreads. To achieve this goal, this study utilizes a variety of GARCH models to find the best-fitting models to describe our data samples of callable, and non-callable bonds. READ MORE
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5. Modelling Risk in Real-Life Multi-Asset Portfolios
University essay from KTH/Matematik (Avd.)Abstract : We develop a risk factor model based on data from a large number of portfolios spanning multiple asset classes. The risk factors are selected based on economic theory through an analysis of the asset holdings, as well as statistical tests. READ MORE