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Evaluating density forecasts with an application to stock market returns
Raaij, Gabriela de; Raunig, Burkhard - 2002
Persistent link: https://www.econbiz.de/10001650402
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Forecasting volatility in European stock markets with non-linear GARCH models
Forte, Gianfranco; Manera, Matteo - 2002
This paper investigates the forecasting performance of three popular variants of the non-linear GARCH models, namely VS-GARCH, GJR-GARCH and Q-GARCH, with the symmetric GARCH(1,1) model as a benchmark. The application involves ten European stock price indexes. Forecasts produced by each...
Persistent link: https://www.econbiz.de/10011598042
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Uncertainty and stock returns in energy markets: a quantile regression approach
Cedic, Samir; Mahmoud, Alwan; Manera, Matteo; Uddin, … - 2021
The aim of this paper is to analyze the relationship between different types of uncertainty and stock returns of the renewable energy and the oil & gas sectors. We use the quantile regression approach developed by Koenker and d'Orey (1987; 1994) to assess which uncertainties are the potential...
Persistent link: https://www.econbiz.de/10012510024
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Prediction accuracy of bivariate score-driven risk premium and volatility filters : an illustration for the Dow Jones
Blazsek, Szabolcs; Escribano, Álvaro; Licht, Adrian - 2020
Persistent link: https://www.econbiz.de/10012310604
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Equity market volatility and expected risk premium
Chen, Long (contributor); Guo, Hui (contributor);  … - 2006
Persistent link: https://www.econbiz.de/10003739618
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Application of volatility-managed portfolios in the context of a volatility index
Subramanian, Abhishek; Kayal, Parthajit - 2023
Persistent link: https://www.econbiz.de/10014375126
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Anticipatory effects in the FTSE 100 index revisions
Fernandes, Marcelo; Mergulhão, João - 2015
This paper examines the price impact of trading due to expected changes in the FTSE 100 index composition, which employs publicly-known objective criteria to determine membership. Hence, it provides a natural context to investigate anticipatory trading effects. We propose a panel-regression...
Persistent link: https://www.econbiz.de/10011405289
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Conditional correlations and volatility spillovers between crude oil and stock index returns
Roengchai Tansuchat; Chang, Chia-Lin; McAleer, Michael - 2010
Persistent link: https://www.econbiz.de/10008669344
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Bayesian predictive distributions of oil returns using mixed data sampling volatility models
Virbickaite, Audrone; Nguyen, Hoang; Minh-Ngoc Tran - 2023
This study explores the benefits of incorporating fat-tailed innovations, asymmetric volatility response, and an … extended information set into crude oil return modeling and forecasting. To this end, we utilize standard volatility models … Stochastic Volatility (SV), along with Mixed Data Sampling (MIDAS) regressions, which enable us to incorporate the impacts of …
Persistent link: https://www.econbiz.de/10014252427
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On the invertibility of EGARCH
Martinet, Guillaume Gaetan; McAleer, Michael - 2014
Persistent link: https://www.econbiz.de/10010410195