Machine Learning in Finance

Musa Gün is Associate Professor for Finance at the Recep Tayyip Erdoğan University in Rize (Türkiye). His research focuses on asset pricing models, market anomalies, credit risk management, investment valuations, and financial technologies.Burcu Kartal is Assistant Professor in the Department of Quantitative Methods at the Recep Tayyip Erdoğan University in Rize (Türkiye). Her research interests include data mining, machine learning, text mining, qualitative methods, and metaheuristics.

• 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).