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The benefit of modeling jumps in realized volatility for risk prediction: Evidence from Chinese mainland stocks

Recent literature has focused on realized volatility models to predict financial risk. This paper studies the benefit of explicitly modeling jumps in this class of models for value at risk (VaR) prediction. Several popular realized volatility models are compared in terms of their VaR forecasting per...

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Detalles Bibliográficos
Autor principal: Liao, Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147854/
http://dx.doi.org/10.1016/j.pacfin.2013.01.002