Artificial Intelligence (AI) approaches have been increasingly used in financial markets as
technology advances. In this research paper, we conduct a Systematic Literature Review …

This paper examines the influence of gross domestic product (GDP) and energy
consumption (renewable energy and non-renewable energy) on carbon emissions in …

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 …

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 …

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 …

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 …

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 …

The COVID-19 pandemic and the increasing competitive landscape have led asset
management companies to consider investing in applying Artificial Intelligence (AI)-driven …

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 …

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 …