Implementing machine learning for finance : a systematic approach to predictive risk and performance analysis for investment portfolios /

Bring together machine learning ()ML) and deep learning (DL) in financial trading, with an emphasis on investment management. This book explains systematic approaches to investment portfolio management, risk analysis, and performance analysis, including predictive analytics using data science proced...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nokeri, Tshepo Chris
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : Apress, 2021.
Temas:
Machine learning.
Investments > Data processing.
Apprentissage automatique.
Investissements > Informatique.
Investments > Data processing
Machine learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1: Introduction to Financial Markets and Algorithmic Trading
  • Chapter 2: Forecasting Using ARIMA, SARIMA, and the Additive Model
  • Chapter 3: Univariate Time Series Using Recurrent Neural Nets
  • Chapter 4: Discover Market Regimes
  • Chapter 5: Stock Clustering
  • Chapter 6: Future Price Prediction Using Linear Regression
  • Chapter 7: Stock Market Simulation
  • Chapter 8: Market Trend Classification Using ML and DL
  • Chapter 9: Investment Portfolio and Risk Analysis.

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