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We propose Midastar models by combining the Mixed Data Sampling (MIDAS) and the threshold autoregression (TAR). The Midastar model of the first kind is designed for a low frequency target variable and a high frequency threshold variable. The proposed model can detect threshold effects...
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error models – to correct for misspecification due to neglected spatial autocorrelation in the data set. Our empirical … spatial structure that is required for the estimation of spatial models improves the forecasting performance of non …
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We study return predictability of stock indexes of blue chip firms and smaller hightechnology firms in Germany, France …-order autocorrelation coefficients, and find evidence for return predictability of stock indexes of smaller hightechnology firms, but no …
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