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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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Nokeri, Tshepo Chris
Format: Electronic eBook
Language:Inglés
Published: [Place of publication not identified] : Apress, 2021.
Subjects:
Machine learning.
Investments > Data processing.
Apprentissage automatique.
Investissements > Informatique.
Investments > Data processing
Machine learning
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • 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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