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  • In this paper we present a technique to obtain the time-varying covariance matrix for several time series for nearest neighbour predictors. To illustrate the use of this technique, we analyse the time-varying variances and correlations between the daily returns on two equity stock market indexes, the New York Stock Exchange (NYSE) and the Madrid Stock Exchange Index (MSEI). (xsd:string)
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?:dateModified
  • 2009 (xsd:gyear)
?:datePublished
  • 2009 (xsd:gyear)
?:doi
  • 10.1080/00036840701439371 ()
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  • true (xsd:boolean)
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  • en (xsd:string)
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?:issueNumber
  • 26 (xsd:string)
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  • Estimating time-varying variances and covariances via nearest neighbour multivariate predictions: applications to the NYSE and the Madrid Stock Exchange Index (xsd:string)
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  • Zeitschriftenartikel (xsd:string)
  • journal_article (en)
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  • GESIS-SSOAR (xsd:string)
  • In: Applied Economics, 41, 2009, 26, 3437-3445 (xsd:string)
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?:urn
  • urn:nbn:de:0168-ssoar-241225 ()
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  • 41 (xsd:string)