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Mohammad Zoynul (Hrsg.) Abedin

The Essentials of Machine Learning in Finance and Accounting

Ebook (EPUB Format)

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 toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting,… Mehr

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Produktdetails


Weitere Autoren: Hassan, M. Kabir (Hrsg.) / Hajek, Petr (Hrsg.) / Uddin, Mohammed Mohi (Hrsg.)
  • ISBN: 978-1-00-039412-2
  • EAN: 9781000394122
  • Produktnummer: 35451338
  • Verlag: Taylor & Francis Ltd.
  • Sprache: Englisch
  • Erscheinungsjahr: 2021
  • Seitenangabe: 296 S.
  • Plattform: EPUB
  • Abbildungen: 52 schwarz-weiße Abbildungen, 5 schwarz-weiße Fotos, 47 schwarz-weiße Zeichnungen, 27 schwarz-weiße Tabellen

Über den Autor


Mohammad Zoynul Abedin is an associate professor of Finance at the Hajee Mohammad Danesh Sci. & Tec. Univ., Bangladesh. Dr. Abedin continuously publishes academic paper inrefereed journals. Moreover, Dr. Abedin served as an ad-hoc reviewer for many academic journals. His research interest includes Data Analytics and Business Intelligence.Mohammad Kabir Hassan is a professor of Finance at the University of New Orleans, USA.Prof. Hassan has over 350 papers [225 SCOPUS, 108 SSCI, 58 ESCI, 227 ABDC, 161 ABS] published as book chapters and in top refereed academic journals. The number of publications would put Prof. Hassan in the top 1% of peers who continue to publish one refereed article per year over a long period of time according to an article published in Journal of Finance. Petr Hajek is currently an associate professor with the Institute of System Engineering and Informatics, University of Pardubice, Czech Republic. He is the author or coauthor of four books and more than 60 articles in leading journals. His current research interests include business decision making, soft computing, text mining and knowledge-based systems.Mohammed Mohi Uddin, PhD, is an assistant professor of Accounting at the University of Illinois Springfield, USA. His primary research interests concern accountability, performance management, corporate social responsibility, and accounting data analytics. Dr. Uddin published scholarly articles in reputable academic and practitioners' journals.

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