TRNN: An efficient time-series recurrent neural network for stock price prediction
M Lu, X Xu - Information Sciences, 2024 - Elsevier
Prediction results in big data analysis can vary greatly depending on the data preprocessing
methods used. Time series-based processing methods are particularly advantageous for …
methods used. Time series-based processing methods are particularly advantageous for …
Triggers For Stock Prices In Manufacturing Companies In The Food and Beverages Sector On The Indonesia Stock Exchange
NNJ Nuryani - International Journal of Social Science and …, 2021 - ejournal.undiksha.ac.id
The global economy was sluggish due to the COVID-19 pandemic. Until March 2020, the
economy began to decline, along with the pandemic outbreak throughout the world …
economy began to decline, along with the pandemic outbreak throughout the world …
COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic
C Yuan, X Ma, H Wang, C Zhang, X Li - Expert Systems with Applications, 2023 - Elsevier
The sudden outbreak of COVID-19 has dramatically altered the state of the global economy,
and the stock market has become more volatile and even fallen sharply as a result of its …
and the stock market has become more volatile and even fallen sharply as a result of its …
Modal decomposition-based hybrid model for stock index prediction
P Lv, Y Shu, J Xu, Q Wu - Expert Systems with Applications, 2022 - Elsevier
Stock index prediction is considered one of the most challenging issues in the financial
sector owing to its noise, volatility, and instability. Traditional stock index prediction methods …
sector owing to its noise, volatility, and instability. Traditional stock index prediction methods …
[HTML][HTML] Using a novel clustered 3D-CNN model for improving crop future price prediction
Many research studies used statistics to predict food production, distribution and price
trends. Researchers used statistical inference for discovering the relationships of data to …
trends. Researchers used statistical inference for discovering the relationships of data to …
Influence prediction model for marketing campaigns on e-commerce platforms
Y **ao, Y Zhu, W He, M Huang - Expert Systems with Applications, 2023 - Elsevier
E-commerce platforms are committed to planning various marketing campaigns to make
profits, and the impact of marketing campaigns is determined by the number of consumers …
profits, and the impact of marketing campaigns is determined by the number of consumers …
A new approach to forecasting Islamic and conventional oil and gas stock prices
In order to make more informed investment decisions, it becomes increasingly critical to
forecast stock prices. Given the abnormality of financial markets, predicting the stock market …
forecast stock prices. Given the abnormality of financial markets, predicting the stock market …
Stock price prediction for new energy vehicle companies based on multi-source data and hybrid attention structure
X Liu, Y Wu, M Luo, Z Chen - Expert Systems with Applications, 2024 - Elsevier
In recent years, with the rapid advancement of new energy vehicle (NEV) technology, an
increasing number of individuals have begun to invest in the stock market of NEV …
increasing number of individuals have begun to invest in the stock market of NEV …
Firm value in the airline industry: perspectives on the impact of sustainability and Covid-19
To date, there has been limited research undertaken into firm value determinants in the air
transport industry, one of the most essential sectors for global business. In view of this, in this …
transport industry, one of the most essential sectors for global business. In view of this, in this …
[PDF][PDF] Coverage of the coronavirus pandemic through entropy measures.
VN Soloviev, AO Bielinskyi, N Kharadzjan - CS&SE@ SW, 2020 - lib.iitta.gov.ua
The rapidly evolving coronavirus pandemic brings a devastating effect on the entire world
and its economy as a whole. Further instability related to COVID-19 will negatively affect not …
and its economy as a whole. Further instability related to COVID-19 will negatively affect not …