Can hybrid model improve the forecasting performance of stock price index amid COVID-19? : contextual evidence from the MEEMD-LSTM-MLP approach
Year of publication: |
2024
|
---|---|
Authors: | Yang, Qu ; Yu, Yuanyuan ; Dai, Dongsheng ; He, Qian ; Lin, Yu |
Subject: | Stock price index multi-step forecasting | COVID-19 | Modified ensemble empirical mode decomposition | Long short-term memory | Multilayer perceptron | Börsenkurs | Share price | Prognoseverfahren | Forecasting model | Coronavirus | Aktienindex | Stock index | Zeitreihenanalyse | Time series analysis |
-
Stock index futures price prediction using feature selection and deep learning
Yan, Wan-Lin, (2023)
-
Ma, Yuanyuan, (2023)
-
Beniwal, Mohit, (2023)
- More ...
-
Local government policies and pharmaceutical clusters in China
Yu, Yuanyuan, (2014)
-
Local government policies and pharmaceutical clusters in China
Yu, Yuanyuan, (2014)
-
A review of researches on internet finance
Cao, Shuyan, (2015)
- More ...