Machine Learning in Finance
portes grátis
Machine Learning in Finance
Trends, Developments and Business Practices in the Financial Sector
Guen, Musa; Kartal, Burcu
Springer International Publishing AG
03/2025
178
Dura
9783031832659
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Chapter 1. Machine Learning in Finance: Transformation of Financial Markets (Musa Guen).- 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 UERKMEZ).- Chapter 6. The Imbalanced Data Problem: Investigating Factors Affecting Financial Freedom Using Data Mining Techniques with SMOTE Method (Abdurrahman Coskuner).- Chapter 7. The Impact of ESG Factors on the Propensity for Dividends for European Firms: A Machine Learning Approach (OEnder DORAK).- Chapter 8. Machine Learning Algorithms to Study the Impact of Sustainability on Financial Success: Evidence from US Stock Market (Merve Dogruel).- Chapter 9. Predicting Borsa Istanbul Banking and Finance Stocks Using Turkish Social Media Sentiment with Machine and Deep Learning (Deniz Sevinc).- 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 TUERKOGLU).
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
FinTech;Financial Innovation;Quantitative Decisions;AI;Decentralized Finance;Digital Currency;Crytomarkets;Anomaly Mining;Generative Artificial Intelligence ;Deep Learning;Networks;Digital Finance ;Risk Management;Financial Sentiment Analysis;Big Data;Algorithmic Trading;Fraud Detection;Portfolio Optimization;Credit Risk
Chapter 1. Machine Learning in Finance: Transformation of Financial Markets (Musa Guen).- 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 UERKMEZ).- Chapter 6. The Imbalanced Data Problem: Investigating Factors Affecting Financial Freedom Using Data Mining Techniques with SMOTE Method (Abdurrahman Coskuner).- Chapter 7. The Impact of ESG Factors on the Propensity for Dividends for European Firms: A Machine Learning Approach (OEnder DORAK).- Chapter 8. Machine Learning Algorithms to Study the Impact of Sustainability on Financial Success: Evidence from US Stock Market (Merve Dogruel).- Chapter 9. Predicting Borsa Istanbul Banking and Finance Stocks Using Turkish Social Media Sentiment with Machine and Deep Learning (Deniz Sevinc).- 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 TUERKOGLU).
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
FinTech;Financial Innovation;Quantitative Decisions;AI;Decentralized Finance;Digital Currency;Crytomarkets;Anomaly Mining;Generative Artificial Intelligence ;Deep Learning;Networks;Digital Finance ;Risk Management;Financial Sentiment Analysis;Big Data;Algorithmic Trading;Fraud Detection;Portfolio Optimization;Credit Risk
