Impact of COVID-19 on Stock Indices Volatility: Long-Memory Persistence, Structural Breaks, or Both? [PDF]
de Oliveira AMB, Mandal A, Power GJ.
europepmc +1 more source
The Volatility of Thai Rice Price [PDF]
This study was conducted to explore the varying volatility of world rice price for the period 1961 to 2008 using monthly data. The paper provides estimates of two GARCH models, namely, GARCH and EGARCH which were used to capture the stochastic variation ...
Baharom, A.H. +3 more
core +1 more source
The impact and profitability of day trading following the relaxation of day trading restrictions in Taiwan. [PDF]
Cheng WH +4 more
europepmc +1 more source
Bias Correction of ML and QML Estimators in the EGARCH(1,1) Model [PDF]
n this paper we derive the bias approximations of the Maximum Likelihood (ML) and Quasi-Maximum Likelihood (QML) Estimators of the EGARCH(1,1) parameters and we check our theoretical results through simulations.
Antonis Demos, Dimitra Kyriakopoulou
core
Cross-market volatility spillovers between China and the United States: A DCC-EGARCH-t-Copula framework with out-of-sample forecasting. [PDF]
Zeng J, Wu J.
europepmc +1 more source
The effect of COVID-19 pandemic on return-volume and return-volatility relationships in cryptocurrency markets. [PDF]
Foroutan P, Lahmiri S.
europepmc +1 more source
This paper considers the EGARCH(exponential GARCH)model, which is one of the conditional heteroscedastic models. The EGARCH model allows for asymmetric effects between positive and negative asset returns. First, with the daily return data of TOPIX used, the paper estimates parameters of EGARCH models and comparing them with other GARCH models by AIC ...
openaire
Study on the prediction performance of AIDS monthly incidence in Xinjiang based on time series and deep learning models. [PDF]
Tang D +7 more
europepmc +1 more source
Twitter Sentiment Analysis and Influence on Stock Performance Using Transfer Entropy and EGARCH Methods. [PDF]
Mendoza-Urdiales RA +3 more
europepmc +1 more source

