Multivariate ARCH with spatial effects for stock sector and size
AbstractThis paper applies a new spatial approach for the specfication of multivariate GARCH models, called Spatial Effects in ARCH, SEARCH. We consider spatial dependence associated with industrial sectors and capitalization size. This parametrization extends current feasible specifications for large scale GARCH models, keeping the numbers of parameters linear as a function of the number of assets. An application to daily returns on 150 stocks from the NYSE for the period January 1994 to June 2001 shows the benefits of the present specification when compared to alternative specifications.
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Bibliographic InfoPaper provided by Department of Economics, University of Insubria in its series Economics and Quantitative Methods with number qf0509.
Length: 41 pages
Date of creation: Dec 2005
Date of revision:
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More information through EDIRC
Spatial models; GARCH; Volatility; Large scale models; Portfolio allocation.;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-01-23 (All new papers)
- NEP-ECM-2007-01-23 (Econometrics)
- NEP-ETS-2007-01-23 (Econometric Time Series)
- NEP-FMK-2007-01-23 (Financial Markets)
- NEP-GEO-2007-01-23 (Economic Geography)
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