Forecasting the behavior of the stock market is a classic but difficult topic, one that has
attracted the interest of both economists and computer scientists. Over the course of the last …

Firms disclose information either voluntarily or due to the regulator's mandatory
requirements, and such disclosures form good sources to know the prospects of a firm …

Finding an accurate, stable and effective model to predict the rise and fall of stocks has
become a task increasingly favored by scholars. This paper proposes a long short-term …

This study maps the academic literature on Stock Price Forecasting with Long-Term Memory
Artificial Neural Networks—RNA LSTM. The objective is to know if it is suitable for time …

The transformer architecture with its attention mechanism is the state-of-the-art deep
learning method for sequence learning tasks and has achieved superior results in many …

Long short-term memory (LSTM) networks have been successfully applied to many fields
including finance. However, when the input contains multiple variables, a conventional …

Designing the teacher-student interaction model in online education is a significant research
domain since it can assist teachers in preventing students from discontinuing their studies …

In comparison to other countries, South Korea has a high reliance on energy, with the
majority of its electricity being generated by a government-run company to ensure a stable …

Pair trading is one of the main methods of statistical arbitrage, mainly by taking advantage of
the temporary price anomalies between related financial products with long-term equilibrium …

Objective: Pairs trading strategies have been around since the mid-1980s and have gained
widespread acceptance in recent years. A pairs trading strategy is one of the forms of …