An overview of machine learning, deep learning, and reinforcement learning-based techniques in quantitative finance: recent progress and challenges
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 …
attracted the interest of both economists and computer scientists. Over the course of the last …
[HTML][HTML] Measuring dynamic interlinkages between energy uncertainty, investor sentiment and financial market volatility: Fresh insights from the R² decomposed …
TT Thanh - Energy Reports, 2025 - Elsevier
The growing complexity of energy-related uncertainties and their influence on financial
markets necessitates a deeper knowledge of their associations with investor sentiment …
markets necessitates a deeper knowledge of their associations with investor sentiment …
Harmonizing Macro-Financial Factors and Twitter Sentiment Analysis in Forecasting Stock Market Trends
The surge in generative artificial intelligence technologies, exemplified by systems such as
ChatGPT, has sparked widespread interest and discourse prominently observed on social …
ChatGPT, has sparked widespread interest and discourse prominently observed on social …
Information environment quantifiers as investment analysis basis
DG Rodionov, PA Pashinina, EA Konnikov… - Economies, 2022 - mdpi.com
The combination of the processes of widespread digitalization and globalization of the world
economy has led to a significant expansion of the global information environment. The …
economy has led to a significant expansion of the global information environment. The …
Integrating EEMD and ensemble CNN with X (Twitter) sentiment for enhanced stock price predictions
This research proposes a novel method for enhancing the accuracy of stock price prediction
by combining ensemble empirical mode decomposition (EEMD), ensemble convolutional …
by combining ensemble empirical mode decomposition (EEMD), ensemble convolutional …
Polarity-based sentiment analysis of georeferenced tweets related to the 2022 twitter acquisition
Twitter, one of the most important social media platforms, has been in the headlines
regularly since its acquisition by Elon Musk in October 2022. This acquisition has had a …
regularly since its acquisition by Elon Musk in October 2022. This acquisition has had a …
The Impact of Sentiment Indices on the Stock Exchange—The Connections between Quantitative Sentiment Indicators, Technical Analysis, and Stock Market
The stock market represents one of the most complex mechanisms in the financial world. It
can be seen as a living being with complex ways to enact, interact, evolve, defend, and …
can be seen as a living being with complex ways to enact, interact, evolve, defend, and …
Causality-driven multivariate stock movement forecasting
Our study aims to investigate the interdependence between international stock markets and
sentiments from financial news in stock forecasting. We adopt the Temporal Fusion …
sentiments from financial news in stock forecasting. We adopt the Temporal Fusion …
Multi-scale characteristics of investor sentiment transmission based on wavelet, transfer entropy and network analysis
M Han, J Zhou - Entropy, 2022 - mdpi.com
Investor sentiment transmission is significantly influential over financial markets. Prior
studies do not reach a consensus about the multi-scale transmission patterns of investor …
studies do not reach a consensus about the multi-scale transmission patterns of investor …
Social sentiment and impact in US equity market: an automated approach
JA Nuñez-Mora, RA Mendoza-Urdiales - Social Network Analysis and …, 2023 - Springer
In this study, a database of approximately 50 million tweets was used for the estimation of
the positive and negative sentiment factors for 2557 companies operating in US stock …
the positive and negative sentiment factors for 2557 companies operating in US stock …