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estimators as ordinary least squares as well as autoregressive models in forecasting performance. …
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’ profitability forecasting, techniques, and most appropriate models to improve the correctness of predicting and acquiring more … forecasting. It conducts investigations for the relevant studies, using regression analysis, necessary tests, ascertains …
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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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