Application of CEEMDAN and LSTM for Futures Price Forecasting
Author:
Affiliation:
1. School of Mathematical Sciences, University of Jinan, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3662739.3662740
Reference14 articles.
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3. Ma BZ and Zhen BQ. Empirical analysis of a time series analysis-based model for predicting gold futures prices. Business.2015 (07):152.
4. Empirical analysis of gold prices based on semi-parametric additive autoregressive model;Yang K;Mathematical Statistics and Management,2020
5. Lu W Feng M Jing L Lin Y. Forecasting stock price volatility: New evidence from the GARCH-MIDAS model. International Journal of Forecasting.2020 Jun;36(2):684-694
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