Teil der Reihe: Economics and Finance (R0)
Finance and Large Language Models
Inhaltsangabe
Large Language Models in Finance: An Overview.- Housing price estimation and reasoning based on a large language model.- Advancing Quantitative Trading Strategies Using Fine-Tuned Open-Source Large Language Models: A Hybrid Approach with Numerical and Textual Data Integration Using RAG and LoRA Techniques.- Foundations of LLMs and Financial Applications.- Voluntary Sustainability Disclosure and Third Party Assurance: A Large Language Model Perspective.- Verbal Femininity and CEOs Compensation.- Integrating LLM-Based Time Series and Regime Detection with RAG for Adaptive Trading Strategies and Portfolio Management.- Empirical Factor Identification for Artificial Intelligence in Finance: Indian Evidence.- Large Language Models in Personal Finance: Cost-Effectiveness and Quality Compared to Human Experts.- Automated Trading Techniques with AI Agents: Deep Learning Algorithms for Efficient Market Strategies.
Produktdetails
- Erscheinungsdatum: 21.08.2025
- Autor/Autorin: Paul Moon Sub Choi
- Reihe: Economics and Finance (R0)
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 10.5 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 187 Seiten
- ISBN: 9789819658336
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
Highlights how AI agents and Large Language Models (LLMs) are set to revolutionize the finance and trading sectors Discusses how AI agents, equipped with advanced ML algorithms, can identify patterns and predict market trends Presents convergence of AI and LLM technology to enhance efficiency and introduce a paradigm shift in risk management
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