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Research Article

A simulation study on the distributions of disturbances in the GARCH model

& | (Reviewing Editor)
Article: 1355503 | Received 11 Apr 2017, Accepted 09 Jul 2017, Published online: 27 Jul 2017

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Emmanuel Alphonsus Akpan, Kazeem Etitayo Lasisi, Imoh Udo Moffat & Ubon Akpan Abasiekwere. (2023) Appraisal of excess Kurtosis through outlier-modified GARCH-type models. Communications in Statistics - Simulation and Computation 52:4, pages 1523-1537.
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Aastha M. Sathe & N. S. Upadhye. (2022) Estimation of the parameters of symmetric stable ARMA and ARMA–GARCH models. Journal of Applied Statistics 49:11, pages 2964-2980.
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Samuel Ampadu, Eric T. Mensah, Eric N. Aidoo, Alexander Boateng & Daniel Maposa. (2024) A comparative study of error distributions in the GARCH model through a Monte Carlo simulation approach. Scientific African 23, pages e01988.
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Richard T. A. Samuel, Charles Chimedza & Caston Sigauke. (2023) Simulation Framework to Determine Suitable Innovations for Volatility Persistence Estimation: The GARCH Approach. Journal of Risk and Financial Management 16:9, pages 392.
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Yanlin Shi. (2020) Long memory and regime switching in the stochastic volatility modelling. Annals of Operations Research 320:2, pages 999-1020.
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O.D. Adubisi, A. Abdulkadir & D.J. Adashu. (2022) Improved Parameter Estimators for the Flexible Extended Skew-t Model with Extensive Simulations, Applications and Volatility modeling. Scientific African, pages e01443.
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Tong Liu & Yanlin Shi. (2022) Innovation of the Component GARCH Model: Simulation Evidence and Application on the Chinese Stock Market. Mathematics 10:11, pages 1903.
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Nitesha Dwarika, Peter Moores-Pitt & Retius Chifurira. (2021) Volatility dynamics and the risk-return relationship in South Africa: A GARCH approach. Investment Management and Financial Innovations 18:2, pages 106-117.
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