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data sampling (MIDAS) regression is mainly a forecasting tool designed to harness mixed-frequency data. This dissertation … supervise banks inconsistently which affects the formation of costs. The accuracy of forecasting is low for banks supervised by … and it is discovered that the MIDAS model has superior forecasting accuracy as compared to the HAR model. The economic …
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With the advent of advanced data collection techniques, there is an increased interest in using econometric models to support decisions in marketing. Due to the sometimes specific nature of variables in marketing, the discipline uses econometric models that are rarely, if ever, used elsewhere....
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passes and new source data become available and conceptual changes are made. How is forecasting influenced by the fact that … motivating their potential influence on forecasts and on forecasting models. The data set consists of a set of data vintages … evaluating forecasts and we examine the techniques of repeated observation forecasting, illustrate the differences in U.S. data …
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