Machine Learning in Finance : Trends, Developments and Business Practices in the Financial Sector

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).