Machine learning in finance = trends...
Gün, Musa.

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  • Machine learning in finance = trends, developments and business practices in the financial sector /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Machine learning in finance/ edited by Musa Gün, Burcu Kartal.
    Reminder of title: trends, developments and business practices in the financial sector /
    other author: Gün, Musa.
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: xi, 199 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: 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).
    Contained By: Springer Nature eBook
    Subject: Finance - Data processing. -
    Online resource: https://doi.org/10.1007/978-3-031-83266-6
    ISBN: 9783031832666
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