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Forecasting U.S. real GDP using oil prices : a time-varying parameter MIDAS model

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Predictability of crude oil prices : an investor perspective

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Data-driven modelling, analysis and improvement of multistage production systems with predictive maintenance and product quality

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Stock price prediction using multi-scale nonlinear ensemble of deep learning and evolutionary weighted support vector regression

Wang, Jujie; Zhuang, Zhenzhen; Gao, Dongming; Li, Yang; … - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 27 (2023) 3, pp. 397-421

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Impact of corrections for dynamic selection bias on forecasts of retention behavior

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Forecasting the Real Prices of Crude Oil : A Dynamic Model Averaging Approach

Wang, Yudong - 2015

Forecasting oil prices has been of great interests for macroeconomists in the recent years. Our article contributes to this strand of the literature by using a dynamic model averaging (DMA) method to improve forecasting accuracy of real oil prices. The advantage of DMA is that the method...

Persistent link: https://www.econbiz.de/10013024889