Machine Learning in Finance

Chapter 1. Machine Learning in Finance: Transformation of Financial Markets (Musa Gün).- Chapter 2. Digital Currencies and Financial Transformation (Bilal Bagis).- Chapter 3. A Hybrid ARIMA-LSTM/GRU Model for Forecasting Monthly Trends in Turkey’s Gold and Currency Markets with a Macro-Economic Data-Driven Approach (Mehmet Fatih Sert).- Chapter 4. Predicting The Environmental Impact of Financial Development with Machine Learning Algorithms (Burcu Kartal).- Chapter 5. A Comparative Analysis of Artificial Neural Networks and Time Series Models in Exchange Rate Forecasting (Emre ÜRKMEZ).- Chapter 6. The Imbalanced Data Problem: Investigating Factors Affecting Financial Freedom Using Data Mining Techniques with SMOTE Method (Abdurrahman Coşkuner).- Chapter 7. The Impact of ESG Factors on the Propensity for Dividends for European Firms: A Machine Learning Approach (Önder DORAK).- Chapter 8. Machine Learning Algorithms to Study the Impact of Sustainability on Financial Success: Evidence from US Stock Market (Merve Doğruel).- Chapter 9. Predicting Borsa Istanbul Banking and Finance Stocks Using Turkish Social Media Sentiment with Machine and Deep Learning (Deniz Sevinç).- Chapter 10. Portfolio Management Through Algorithmic Trading (Ahmet AKUSTA).- Chapter 11. Assessing Bitcoin Return Extrema in the Context of Extreme Value Theory (Erhan Uluceviz).- Chapter 12. Machine Learning in Portfolio Optimization (Diler TÜRKOĞLU).

• Erscheinungsdatum: 29.03.2025
• Autor/Autorin: Musa Gün
• Reihe: Business and Management (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 5.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 199 Seiten
• ISBN: 9783031832666
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.