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

Journal
The European Journal of Finance
Type
journal article
Date Issued
2012-10
Author(s)
Bonato, Matteo
;
Caporin, Massimiliano
;
Ranaldo, Angelo  
DOI
10.1080/1351847X.2011.601629
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.
Language
English
Keywords
realized covariance
WAR
HAR
multivariate volatility forecasts
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Routledge
Volume
2012
Number
18
Start page
761
End page
774
Pages
14
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/90938
Subject(s)

business studies

Division(s)

SoF - School of Finan...

Eprints ID
218454
File(s)
Thumbnail Image

open.access

Name

12_11_Ranaldo et al_Forecasting Realized Variances.pdf

Size

483.49 KB

Format

Adobe PDF

Checksum (MD5)

98d237cc2e30fd6624758455c863f59a

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