Machine Learning in the Analysis and Forecasting of Financial Time Series
1st Edition
Published on 28. April 2022
365 pages
978-1-5275-8325-2 (ISBN)
Description
This book is a collection of real-world cases, illustrating how to handle challenging and volatile financial time series data for a better understanding of their past behavior and robust forecasting of their future movement. It demonstrates how the concepts and techniques of statistical, econometric, machine learning, and deep learning are applied to build robust predictive models, and the ways in which these models can be used for constructing profitable portfolios of investments. All the concepts and methods used here have been implemented using R and Python languages on TensorFlow and Keras frameworks. The book will be particularly useful for advanced postgraduate and doctoral students of finance, economics, econometrics, statistics, data science, computer science, and information technology.
More details
Other editions
Additional editions
Jaydip Sen | Sidra Mehtab
Machine Learning in the Analysis and Forecasting of Financial Time Series
Book
05/2022
Cambridge Scholars Publishing
€114.23
Shipment within 15-20 days
Content
- Intro
- Dedication
- Table of Contents
- List of Figures
- List of Tables
- Preface
- Chapter 1
- Chapter 2
- Chapter 3
- Chapter 4
- Chapter 5
- Chapter 6
- Chapter 7
- Contributors
