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In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN). We provide evidence from Monte Carlo simulations for the relative forecast performance of GRNN depending on the data-generating process. We show that GRNN outperforms an...
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This paper characterizes the asymptotic behaviour, as the number of assets gets arbitrarily large, of the portfolio weights for the class of tangency portfolios belonging to the Markowitz paradigm. It is assumed that the joint distribution of asset returns is characterized by a general factor...
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Mit diesem Buch liegen kompakte Beschreibungen von Prognoseverfahren vor, die vor allem in Systemen der betrieblichen Informationsverarbeitung eingesetzt werden. Praktiker mit langjähriger Prognoseerfahrung zeigen außerdem, wie die einzelnen Methoden in der Unternehmung Verwendung finden und...
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