Skip to main content
Kent Academic Repository

It’s all about volatility of volatility: evidence from a two-factor stochastic volatility model

Grassi, Stefano, Santucci de Magistris, Paolo (2015) It’s all about volatility of volatility: evidence from a two-factor stochastic volatility model. Journal of Empirical Finance, 30 . pp. 62-78. ISSN 0927-5398. (doi:10.1016/j.jempfin.2014.11.007) (KAR id:49295)

Abstract

The persistent nature of equity volatility is investigated by means of a multi-factorstochastic volatility model with time varying parameters. The parameters are estimated bymeans of a sequential matching procedure which adopts as auxiliary model a time-varying generalization of the HAR model for the realized volatility series. It emerges that during the recent financial crisis the relative weight of the daily component dominates over the monthly term. The estimates of the two factor stochastic volatility model suggest that the change in the dynamic structure of the realized volatility during the financial crisis is due to the increase in the volatility of the persistent volatility term. As a consequence of the dynamics in the stochastic volatility parameters, the shape and curvature of the volatility smile evolve trough time.

Item Type: Article
DOI/Identification number: 10.1016/j.jempfin.2014.11.007
Uncontrolled keywords: Time-Varying Parameters, On-line Kalman Filter, Simulation-based inference, Predictive Likelihood, Volatility Factors
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Divisions > Division of Human and Social Sciences > School of Economics
Depositing User: Stefano Grassi
Date Deposited: 09 Jul 2015 15:08 UTC
Last Modified: 16 Feb 2021 13:26 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/49295 (The current URI for this page, for reference purposes)

University of Kent Author Information

Grassi, Stefano.

Creator's ORCID:
CReDIT Contributor Roles:
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.