Modeling and forecasting the realized volatility of bitcoin using realized HAR-GARCH-type models with jumps and inverse leverage effect

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Modeling and forecasting the realized volatility of bitcoin using realized HAR-GARCH-type models with jumps and inverse leverage effect

Using the high-frequency data of Bitcoin, this study aims to model the time-varying volatility identified in the residuals of the heterogeneous autoregressive (HAR) model of realized volatility using the symmetric, asymmetric and long-memory generalized autoregressive conditional heteroscedastic (GA...

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Bibliographic Details
Main Authors:	Zahid, Mamoona, Iqbal, Farhat, Raziq, Abdul, Sheikh, Naveed
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2022
Online Access:	http://journalarticle.ukm.my/19176/ http://journalarticle.ukm.my/19176/1/25.pdf

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