The Essentials of Machine Learning in Finance and Accounting

Mohammad Abedin (Editor), M. Kabir Hassan (Editor), Petr Hajek (Editor), Mohammed Mohi Uddin (Editor)

Research output: Book/ReportBook


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.
Original languageEnglish
PublisherTaylor & Francis
Number of pages258
ISBN (Print)9780367480813
Publication statusPublished - 21 Jun 2021


Dive into the research topics of 'The Essentials of Machine Learning in Finance and Accounting'. Together they form a unique fingerprint.

Cite this