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Smoothing volatility targeting

This folder contains the main paper [Bernardi, Bianchi, and Bianco (2022)] and the code to perform semi-parametric variational Bayes inference for univariate stochastic volatility models with arbitrary smoothness in the approximate posterior densities.

A simple R code named TestCode.R is provided together with the source package VBSV_1.0.tar.gz.

If you have any issues/comments please mail me nicolas.bianco@upf.edu

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