Essays about: "GARCH models"

Showing result 1 - 5 of 203 essays containing the words GARCH models.

  1. 1. Beyond the Crisis: A Safe Haven Analysis : Empirical Insights into the Divergence of Gold and Bonds for Portfolio Hedging

    University essay from Umeå universitet/Företagsekonomi

    Author : Anthony Baugi; Eugene Zhang; [2024]
    Keywords : Gold; Bonds; Safe Haven; Hedging; US Treasury; Volatility; Covid; Portfolio Theory; Asset Dynamics; Fiscal Policy; Monetary Policy; Financial Crisis; Asset Management; Risk Management; Portfolio Risk;

    Abstract : Purpose: This thesis investigates the relationship concerning traditional safe haven assets, gold and US 10-year treasury bonds during periods of market instability, specifically during the economic concerns raised by the COVID-19 pandemic. It assesses the hedging and safe haven properties of these assets and their dynamic nature throughout two periods of unconventional monetary and fiscal policy measures by the Federal Reserve & US Congress respectively. READ MORE

  2. 2. 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. 3. 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. 4. Value at Risk Estimation using GARCH Family Models: A Comparison of Different Specifications and Distributions.

    University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Author : Khaled Jrideh; [2023-05-26]
    Keywords : ;

    Abstract : 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. READ MORE

  5. 5. 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