Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/77233 
Authors: 
Year of Publication: 
2000
Series/Report no.: 
Technical Report No. 2000,44
Publisher: 
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen, Dortmund
Abstract: 
An unbiased point estimator T for an unknown parameter θ can be improved in the sense of the Mean Squared Error (MSE) by T = λT λ for suitable factors λ. Here, we want to discuss this approach in the context of combination of forecasts. We consider the shrinkage technique for unbiased univariate and multivariate forecast combinations. In the univariate case our aim is to reduce the MSE. In the multivariate case we want to improve unbiased forecast combinations in the sense of the Scalar Mean Squared Error (SMSE) or the Matrix Mean Squared Error (MMSE).
Subjects: 
shrinkage
combination of forecast
mean squared error
Document Type: 
Working Paper

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