Motivated by the fact that realized measures of volatility are affected by measurement errors, we introduce a new family of discrete-time stochastic volatility models having two measurement equations relating both the observed returns and realized measures to the latent conditional variance.

A stochastic volatility framework with analytical filtering

BORMETTI, GIACOMO;LIVIERI, GIULIA
2017

Abstract

Motivated by the fact that realized measures of volatility are affected by measurement errors, we introduce a new family of discrete-time stochastic volatility models having two measurement equations relating both the observed returns and realized measures to the latent conditional variance.
2017
Proceedings of the Conference of the Italian Statistical Society. Statistics and Data Science: new challenges, new generations
205
209
Giacomo Bormetti; Roberto Casarin; Fulvio Corsi; Giulia Livieri
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/608430
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