Machine Learning Approaches in Financial Analytics

书目详细资料
企业作者:	SpringerLink (Online service)
其他作者:	Maglaras, Leandros A. (Editor), Das, Sonali (Editor), Tripathy, Naliniprava (Editor), Patnaik, Srikanta (Editor)
总结:	XX, 483 p. 105 illus., 88 illus. in color. text
语言:	英语
出版:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
版:	1st ed. 2024.
丛编:	Intelligent Systems Reference Library, 254
主题:	Computational intelligence. Machine learning. Financial engineering. Artificial intelligence. Computational Intelligence. Machine Learning. Financial Engineering. Artificial Intelligence.
在线阅读:	https://doi.org/10.1007/978-3-031-61037-0
格式:	电子图书

书本目录:

-- Part I: Foundations.
Chapter 1: Introduction to Optimal Execution.
Part II: Tools and techniques.
Chapter 2: Python Stack for Design and Visualization in Financial Engineering.
Chapter 3: Neurodynamic approaches to cardinality-constrained portfolio optimization.
Chapter 4: Fully Homomorphic Encrypted Wavelet Neural Network for Privacy-Preserving Bankruptcy Prediction in Banks.
Chapter 5: Tools and Measurement Criteria of Ethical Finance through Computational Finance.
Chapter 6: Data Mining Techniques for Predicting the Non-Performing Assets (NPA) of Banks in India.
Chapter 7: Multiobjective optimization of mean-variance-downside-risk portfolio selection models.
Part III: Risk assessment and ethical considerations.
Chapter 8: Bankruptcy Forecasting Of Indian Manufacturing Companies Post Ibc Using Machine Learning Techniques.
Chapter 9: Ensemble Deep Reinforcement Learning for Financial Trading. Part IV: Real-world Applications.
Chapter 10: Bibliometric Analysis of Digital Financial Reporting.
Chapter 11: The Quest for Financing Environmental Sustainability in Emerging Nations: Can Internet Access and Financial Technology be Crucial?
Chapter 12: A comprehensive review of Bitcoin’s energy consumption and its environmental implications, etc.

相似书籍