Performance of the Realized-GARCH Model against Other GARCH Types in Predicting Cryptocurrency Volatility

Cryptocurrencies have increasingly attracted the attention of several players interested in crypto assets. Their rapid growth and dynamic nature require robust methods for modeling their volatility. The Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) model is a well-known mathemat...

ver descrição completa

Detalhes bibliográficos
Principais autores: Rhenan G. S. Queiroz, Sergio A. David
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2023-12-01
coleção:Risks
Assuntos:
Acesso em linha:https://www.mdpi.com/2227-9091/11/12/211