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In this paper it is shown that the number of latent factors in a multiple multivariate regression model need not be larger than the number of the response variables in order to achieve an optimal prediction. The practical importance of this lemma is outlined and an application of such a...
Persistent link: https://www.econbiz.de/10010296612
Linear Discriminant Analysis (LDA) performs well for classifica- tion of business phases – even though the premises of an LDA are not met. As the variables are highly correlated there are numerical as well as interpretational shortcomings. By transforming the classification problem to a...
Persistent link: https://www.econbiz.de/10010296702
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Linear Discriminant Analysis (LDA) performs well for classifica- tion of business phases even though the premises of an LDA are not met. As the variables are highly correlated there are numerical as well as interpretational shortcomings. By transforming the classification problem to a regression...
Persistent link: https://www.econbiz.de/10003213743
Persistent link: https://www.econbiz.de/10002660233
We develop a generalised impulse response function (GIRF) approach to explore the different impacts of aggregate and sectoral shocks within a VAR-GARCH-M model. Using the output of our GIRF analysis, we explore the behaviour of three European countries (Germany, Spain and the UK). We analyse the...
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