Artificial intelligence and big data assist investment
Excessive stock market volatility amplifies financial risks, necessitating AI-driven decision-support systems for risk mitigation. Integrating AI and big data analytics enables real-time market monitoring and actionable insights for investors and regulators, enhancing global financial profitability...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2025/09/shsconf_icdde2025_01003.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Excessive stock market volatility amplifies financial risks, necessitating AI-driven decision-support systems for risk mitigation. Integrating AI and big data analytics enables real-time market monitoring and actionable insights for investors and regulators, enhancing global financial profitability through improved forecasting and risk management. This study combines game theory principles with AI technologies to develop market stabilization strategies, simulating multi-agent interactions to optimize trading rules and regulatory frameworks. Through price game modeling, it examines price dynamics and investor strategy equilibria across time horizons, highlighting AI’s dual role in predicting volatility and balancing short-term gains with long-term stability. While addressing stakeholder conflicts, the research acknowledges AI’s complex challenges alongside its transformative potential. The findings offer practical guidance for leveraging AI’s benefits in finance while managing risks, contributing to sustainable economic growth through enhanced understanding of intelligent systems’ operational mechanisms. |
|---|---|
| ISSN: | 2261-2424 |