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forests to estimate our forecasting models. As an extension, we report empirical evidence on the predictive value of the …
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series forecasting. We consider both linear and nonlinear alternatives. Among the linear methods we pay special attention to …
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forecasting stock prices shows how difficult it is to predict stock prices, there is evidence that predicting stock price … to understand and estimate and are useful methods for forecasting the stock price direction of clean energy stocks. …
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Gold is often used by investors as a hedge against inflation or adverse economic times. Consequently, it is important for investors to have accurate forecasts of gold prices. This paper uses several machine learning tree-based classifiers (bagging, stochastic gradient boosting, random forests)...
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series forecasting. We consider both linear and nonlinear alternatives. Among the linear methods we pay special attention to …
Persistent link: https://www.econbiz.de/10012390030