The Essentials of Machine Learning in Finance and Accounting PDF
Edited by Mohammad Zoynul Abedin, M. Kabir Hassan, Petr Hajek, Mohammed Mohi Uddin
Part of the ISSN series
Description
This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data.
Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.
Information
-
Download - Immediately Available
- Format:PDF
- Pages:258 pages
- Publisher:Taylor & Francis
- Publication Date:20/06/2021
- Category:
- ISBN:9781000394115
Information
-
Download - Immediately Available
- Format:PDF
- Pages:258 pages
- Publisher:Taylor & Francis
- Publication Date:20/06/2021
- Category:
- ISBN:9781000394115
