[HTML][HTML] Artificial intelligence techniques in financial trading: A systematic literature review
F Dakalbab, MA Talib, Q Nassir, T Ishak - Journal of King Saud University …, 2024 - Elsevier
Artificial Intelligence (AI) approaches have been increasingly used in financial markets as
technology advances. In this research paper, we conduct a Systematic Literature Review …
technology advances. In this research paper, we conduct a Systematic Literature Review …
[PDF][PDF] The role of energy consumption and economic growth on carbon emission-application of artificial neural network
This paper examines the influence of gross domestic product (GDP) and energy
consumption (renewable energy and non-renewable energy) on carbon emissions in …
consumption (renewable energy and non-renewable energy) on carbon emissions in …
Intelligent Bayesian regularization‐based solution predictive procedure for hybrid nanoparticles of AA7072‐AA7075 oxide movement across a porous medium
The research community has shown great interest for investigation in the nanofluids models
involving Aluminum Alloys AA7072 and AA7072+ AA7075 due to their advantageous impact …
involving Aluminum Alloys AA7072 and AA7072+ AA7075 due to their advantageous impact …
[HTML][HTML] Improving the accuracy of forecasting the TSA daily budgetary fund balance based on wavelet packet transforms
AK Karaev, OS Gorlova, ML Sedova… - Journal of Open …, 2022 - mdpi.com
Improving the accuracy of cash flow forecasting in the TSA is the key to fulfilling government
payment obligations, minimizing the cost of maintaining the cash reserve, providing the …
payment obligations, minimizing the cost of maintaining the cash reserve, providing the …
A Review on High Frequency Trading Forecasting Methods: Opportunity and Challenges for Quantum based Method
High frequency trading, often known as HFT, is a subset of algorithmic trading, which is one
of the most significant improvements to the trading environment in recent years. Algorithmic …
of the most significant improvements to the trading environment in recent years. Algorithmic …
Futuristic portfolio optimization problem: wavelet based long short-term memory
S Abolmakarem, F Abdi, K Khalili-Damghani… - Journal of Modelling in …, 2024 - emerald.com
Purpose This paper aims to propose an improved version of portfolio optimization model
through the prediction of the future behavior of stock returns using a combined wavelet …
through the prediction of the future behavior of stock returns using a combined wavelet …
[HTML][HTML] A comparative analysis of the choice of mother wavelet functions affecting the accuracy of forecasts of daily balances in the treasury single account
AK Karaev, OS Gorlova, VV Ponkratov, ML Sedova… - Economies, 2022 - mdpi.com
Improving the accuracy of cash flow forecasting in the TSA is key to fulfilling government
payment obligations, minimizing the cost of maintaining the cash reserve, providing the …
payment obligations, minimizing the cost of maintaining the cash reserve, providing the …
[HTML][HTML] Optimal Machine Learning-and Deep Learning-driven algorithms for predicting the future value of investments: A systematic review and meta-analysis
L Parisi, ML Manaog - 2023 - europepmc.org
The COVID-19 pandemic and the increasing competitive landscape have led asset
management companies to consider investing in applying Artificial Intelligence (AI)-driven …
management companies to consider investing in applying Artificial Intelligence (AI)-driven …
Forecasting Imports in OECD Member Countries and Iran by Using Neural Network Algorithms of LSTM
Artificial Neural Networks (ANN) which are a branch of artificial intelligence, have shown
their high value in lots of applications and are used as a suitable forecasting method …
their high value in lots of applications and are used as a suitable forecasting method …
Predicting the impact of e-commerce indices on international trade in Iran and other selected members of the Organization for Economic Co-operation and …
This study aims at predicting the impact of e-commerce indicators on international trade of
the selected OECD countries and Iran, by using the artificial intelligence approach and P …
the selected OECD countries and Iran, by using the artificial intelligence approach and P …