References

• 1994Comparing Predictive Accuracy5,495 cited
• 2002Comparing Predictive Accuracy1,745 cited
• 2017A deep learning ensemble approach for crude oil price forecasting383 cited
• 2016Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation330 cited
• 2014Neural network ensemble operators for time series forecasting292 cited
• 2003The out-of-sample success of term structure models as exchange rate predictors: a step beyond255 cited
• 2018Online big data-driven oil consumption forecasting with Google trends236 cited
• 2015Forecasting exchange rate using deep belief networks and conjugate gradient method234 cited
• 2008How Useful Is Bagging in Forecasting Economic Time Series? A Case Study of U.S. Consumer Price Inflation197 cited
• 2008Multistage RBF neural network ensemble learning for exchange rates forecasting179 cited
• 2018Exploring the sources of uncertainty: Why does bagging for time series forecasting work?162 cited
• 2015Neural networks performance in exchange rate prediction160 cited
• 1999A Cross‐Validation Analysis of Neural Network Out‐of‐Sample Performance in Exchange Rate Forecasting145 cited
• 2016Air transportation demand forecast through Bagging Holt Winters methods133 cited