Financial profitability evaluation and forecasting using the deep learning : a case of the Chinese Petroleum Industry
Year of publication: |
2023
|
---|---|
Authors: | Ding, Xiaowei ; Ye, Lyu ; Jin, Junlei ; Wang, Yuanlong |
Published in: |
Montenegrin journal of economics. - Podgorica : Economic Laboratory for Transition Research, ISSN 1800-6698, ZDB-ID 2860930-X. - Vol. 19.2023, 4, p. 55-64
|
Subject: | Global Principal Component Analysis (GPCA) | Grey Relation Analysis (GRA) | LSTM neural network | Profitability | Forecast accuracy | Prognoseverfahren | Forecasting model | China | Neuronale Netze | Neural networks | Rentabilität | Erdölindustrie | Oil industry | Prognose | Forecast |
-
Takeover prediction using forecast combinations
Rodrigues, Bruno Dore, (2013)
-
Babikir, Ali, (2016)
-
Data source combination for tourism demand forecasting
Hu, Mingming, (2020)
- More ...
-
China's position in the global automotive production and exports, 2018-2020
Volgina, Natalia A., (2022)
-
Environmental monitoring and enforcement in China : an economic perspective review
Lyu, Ye, (2024)
-
Rethinking fast growth in China's foreign exchange reserves
Wang, Yuanlong, (2006)
- More ...