Results 11 to 20 of about 11,262 (157)
Two EGARCH Models and One Fat Tail [PDF]
SSRN Electronic Journal, 2014 We compare two EGARCH models which belong to a new class of models in which the dynamics are driven by the score of the conditional distribution of the observations. Models of this kind are called dynamic conditional score (DCS) models and their form facilitates the development of a comprehensive and relatively straightforward theory for the asymptotic
Michele Caivano, Andrew Harvey
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On the invertibility of EGARCH(p,q) [PDF]
Econometric Reviews, 2016 Of the two most widely estimated univariate asymmetric conditional volatility models, the exponential GARCH (or EGARCH) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative effects of equal magnitude, and leverage, which refers to the negative correlation between the returns ...
Guillaume Gaetan Martinet +1 more
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A new approach to bad news effects on volatility: the multiple-sign-volume sensitive regime EGARCH model (MSV-EGARCH) [PDF]
Portuguese Economic Journal, 2009 In this paper, using daily data for six major international stock market indexes and a modified EGARCH specification, the links between stock market returns, volatility and trading volume are investigated in a new nonlinear conditional variance framework with multiple regimes and volume effects. Volatility forecast comparisons, using the Harvey-Newbold
Curto, José Dias +2 more
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Egarch Model Prediction for Sale Stock Price
Jurnal Varian, 2022 Stock is an investment in the capital market that is very promising for investors. Investors can also get high returns from the shares invested. However, this stock price is not always stable, it can go up and down drastically. The purpose of this study is to predict stock prices because they often experience instability.
Arya Impun Diapari Lubis, Ismail Husein
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AN ALMOST CLOSED FORM ESTIMATOR FOR THE EGARCH MODEL [PDF]
Econometric Theory, 2012 The exponential GARCH (EGARCH) model introduced by Nelson (1991) is a popular model for discrete time volatility since it allows for asymmetric effects and naturally ensures positivity even when including exogenous variables. Estimation and inference are usually done via maximum likelihood.
HAFNER, Christian, LINTON, Oliver
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Studies in Business and Economics, 2022 This study analyzes the effect of housing prices on banking performance in Korea. The findings of the study reveal that the impact of housing price changes on banking performance was different in the commercial banks, regional banks and specialized banks.
Heonyong Jung
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Comparative Economic Research, 2023 Volatility spillover informs whether the information in one market impacts the information in another. This paper examines whether oil market volatility spills over to the equity markets of selected SAARC countries. The study uses data from February 2013
Tariq Aziz
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Time series models with an EGB2 conditional distribution [PDF]
, 2013 A time series model in which the signal is buried in noise that is non-Gaussian may throw up observations that, when judged by the Gaussian yardstick, are outliers.
Caivano, Michele, Harvey, Andrew
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Model Calibration and Validation for the Fuzzy-EGARCH-ANN Model
Applied Computational Intelligence and Soft Computing, 2021 This work shown as the fuzzy-EGARCH-ANN (fuzzy-exponential generalized autoregressive conditional heteroscedastic-artificial neural network) model does not require continuous model calibration if the corresponding DE algorithm is used appropriately, but ...
Geleta T. Mohammed +2 more
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Pemodelan EGARCH Return Saham, Emas, dan Cryptocurrency
Seminar Nasional Official Statistics, 2023 Investasi finansial adalah investasi yang dilakukan oleh pelaku ekonomi pada pasar keuangan melalui berbagai macam instrumen finansial seperti saham, emas dan cryptocurrency. Penelitian ini memiliki tujuan yaitu memodelkan volatilitas return saham, emas dan cryptocurrency pada puncak pandemi Covid-19.
Nasrudin Nasrudin, Farah Amira Firdausia
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