The Essentials of Machine Learning in Finance and Accounting

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

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Hardcover | 21 June 2021

At a Glance

Hardcover
234 Pages

Dimensions(cm)
24.6 x 17.4 x 1.6

Hardcover

$349.98

Aims to ship in 7 to 10 business days

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.

Industry Reviews

"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

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