A forecast-based comparison of restricted Wishart autoregressive models for realized covariance matrices

Item Type Journal paper
Abstract

Models for realized covariance matrices may suffer from the curse of dimensionality as more traditional multivariate volatility models (such as GARCH and stochastic volatility). Within the class of realized covariance models, we focus on the Wishart specification introduced by C. Gourieroux, J. Jasiak, and R.
Sufana [2009. The Wishart autoregressive process of multivariate stochastic volatility. Journal of Econometrics 150, no. 2: 167-81] and analyze here the forecasting performances of the parametric restrictions discussed in M. Bonato [2009. Estimating the degrees of freedom of the realized volatilityWishart autoregressive model. Manuscript available at http://ssrn.com/abstract=1357044], which are motivated by asset features such as their economic sector and book-to-market or price-to-earnings ratios, among others. Our purpose is to verify if restricted model forecasts are statistically equivalent to full-model specification, a result that would support the use of restrictions when the problem cross-sectional dimension is large.

Authors Bonato, Matteo; Caporin, Massimiliano & Ranaldo, Angelo
Journal or Publication Title The European Journal of Finance
Language English
Keywords realized covariance;WAR; HAR; multivariate volatility forecasts
Subjects business studies
HSG Classification contribution to scientific community
Refereed Yes
Date October 2012
Publisher Routledge
Volume 2012
Number 18
Page Range 761-774
Number of Pages 14
Publisher DOI 10.1080/1351847X.2011.601629
Depositing User Prof. Dr. Angelo Ranaldo
Date Deposited 04 Dec 2012 08:41
Last Modified 23 Aug 2016 11:15
URI: https://www.alexandria.unisg.ch/publications/218454

Download

[img]
Preview
Text
12_11_Ranaldo et al_Forecasting Realized Variances.pdf

Download (495kB) | Preview

Citation

Bonato, Matteo; Caporin, Massimiliano & Ranaldo, Angelo (2012) A forecast-based comparison of restricted Wishart autoregressive models for realized covariance matrices. The European Journal of Finance, 2012 (18). 761-774.

Statistics

https://www.alexandria.unisg.ch/id/eprint/218454
Edit item Edit item
Feedback?