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A platform for research: civil engineering, architecture and urbanism
Multivariate EMD-Based Modeling and Forecasting of Crude Oil Price
Recent empirical studies reveal evidence of the co-existence of heterogeneous data characteristics distinguishable by time scale in the movement crude oil prices. In this paper we propose a new multivariate Empirical Mode Decomposition (EMD)-based model to take advantage of these heterogeneous characteristics of the price movement and model them in the crude oil markets. Empirical studies in benchmark crude oil markets confirm that more diverse heterogeneous data characteristics can be revealed and modeled in the projected time delayed domain. The proposed model demonstrates the superior performance compared to the benchmark models.
Multivariate EMD-Based Modeling and Forecasting of Crude Oil Price
Recent empirical studies reveal evidence of the co-existence of heterogeneous data characteristics distinguishable by time scale in the movement crude oil prices. In this paper we propose a new multivariate Empirical Mode Decomposition (EMD)-based model to take advantage of these heterogeneous characteristics of the price movement and model them in the crude oil markets. Empirical studies in benchmark crude oil markets confirm that more diverse heterogeneous data characteristics can be revealed and modeled in the projected time delayed domain. The proposed model demonstrates the superior performance compared to the benchmark models.
Multivariate EMD-Based Modeling and Forecasting of Crude Oil Price
Kaijian He (author) / Rui Zha (author) / Jun Wu (author) / Kin Keung Lai (author)
2016
Article (Journal)
Electronic Resource
Unknown
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