Modeling and Forecasting Natural Gas Futures Prices Dynamics: An Integrated Approach

被引:0
|
作者
Castello, Oleksandr [1 ]
Resta, Marina [1 ]
机构
[1] Univ Genoa, Sch Social Sci, Dept Econ & Business Studies, I-16126 Genoa, GE, Italy
关键词
Natural Gas; Futures term structure; De Rezende-Ferreira model; B-Spline; Artificial Neural Networks (ANN); Nonlinear Autoregressive Neural Networks (NAR-NN); CRUDE-OIL; FINANCIALIZATION;
D O I
10.1007/978-3-030-99638-3_24
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We explore and test the capabilities of B-Splines and Dynamic De Rezende-Ferreira five-factor model to replicate the main dynamics and stylized facts of futures curves in the Natural Gas Futures market. Furthermore, we discuss the joint use of these models with a Nonlinear Autoregressive Neural Network for parameters fine-tuning to forecast futures curves. The simulation study highlighted the effectiveness of the proposed framework; empirical results show that the joint use of B-Splines and neural networks provides highest overall performances on the Natural Gas futures market.
引用
收藏
页码:146 / 150
页数:5
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