Enhancing the predictability of crude oil markets with hybrid wavelet approaches
Sign Up to like & getrecommendations! Published in 2019 at "Economics Letters"
DOI: 10.1016/j.econlet.2019.05.041
Abstract: Abstract We explore the robustness, efficiency and accuracy of the multi-scale forecasting in crude oil markets. We adopt a novel hybrid wavelet auto-ARMA model to detect the inherent nonlinear dynamics of crude oil returns with… read more here.
Keywords: oil markets; oil; hybrid wavelet; crude oil ... See more keywords
A Preliminary Study on a Hybrid Wavelet Neural Network Model for Forecasting Monthly Rainfall
Sign Up to like & getrecommendations! Published in 2018 at "Eurasia journal of mathematics, science and technology education"
DOI: 10.29333/ejmste/85119
Abstract: In this paper, a hybrid wavelet neural network (HWNN) model is developed for effectively forecasting rainfall with the data of antecedent monthly rainfalls, the ant colony optimization algorithm (ACO) is combined with particle swarm optimization… read more here.
Keywords: network; wavelet neural; monthly rainfall; model ... See more keywords