Essays about: "out-of-sample forecasting"
Showing result 1 - 5 of 69 essays containing the words out-of-sample forecasting.
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1. Volatility Forecasting - A comparative study of different forecasting models.
University essay fromAbstract : 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
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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. Does the Level of Swedish Economic Policy Uncertainty Help Forecast Excess Returns on the Swedish Stock Market?
University essay from Uppsala universitet/Företagsekonomiska institutionenAbstract : This thesis examines whether the level of Swedish economic policy uncertainty (EPU) can predict excess returns on the Swedish stock market. We run out-of-sample forecasting using an EPU-based predictive model constructed with the official Swedish EPU index developed by Armelius et al. (2017). READ MORE
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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
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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5. In the Core of the Storm: Revisiting Inflation Hedging Properties Within and Across Asset Classes
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : The recent surge in inflation has reignited discussions on hedging inflation risks, forming the focal point of this study. In our paper we consider conventional asset classes from 1968 to 2023 as well as alternative assets from 2020 to 2023 and find that no asset class provides a statistically significant hedge against core inflation shocks, while commodities and currencies can hedge headline and energy inflation risk. READ MORE
