The Essentials of Machine Learning in Finance and Accounting
Petr Hajek editor M Kabir Hassan editor Mohammad Zoynul Abedin editor Mohammed Mohi Uddin editor
Format:Hardback
Publisher:Taylor & Francis Ltd
Published:21st Jun '21
Currently unavailable, and unfortunately no date known when it will be back
This hardback is available in another edition too:
- Paperback£35.99(9780367480813)
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.
"This book will serve as a valuable source for the digital transformation of the financial industry."
Dr. Zamir Iqbal, VP Finance and Chief Financial Officer (CFO), Islamic Development Bank (IsDB)
"An essential resource for financial accounting managers and students of financial management."
Professor Mehmet Huseyin Bilgin, Istanbul Medeniyet University, Turkey
"A comprehensive coverage of emerging intelligent technologies in finance."
Professor Ohaness Paskelian, University of Houston-Downtown, USA
ISBN: 9780367480837
Dimensions: unknown
Weight: 640g
234 pages