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Author:   Nitin Jaglal Untwal ,  Utku Kose (Suleyman Demirel U., Turkey)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781032618234

ISBN 10:   103261823
Pages:   121
Publication Date:   30 December 2024
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Preface. About the Authors. Chapter 1. Stock portfolio investments management by Appling K Mean clustering. Chapter 2. Predicting stock price using the ARIMA model. Chapter 3. Stock investment strategy by using a logistic regression model. Chapter 4. Working capital management by applying the Naive Bayes model. Chapter 5. The random forest technique is a tool for stock trading decisions. Chapter 6. Stock management and decision tree technique for proper investment. Chapter 7. Descriptive statistics for stock risk analysis and its management. Chapter 8. Stock prediction using multiple regression model Chapter 9. F-test for stock risk assessment. Chapter 10 T-test for stock risk assessment Chapter 11. Z- test for stock risk assessment Chapter 12. Support vector machine learning model for stock prediction. Chapter 13 Stock risk analysis by using visualization. Chapter 14. LSTM for stock price prediction. Chapter 15 NPL for sentiments analysis for stock.

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Author Information

Nitin Jaglal Untwal, PhD, is a distinguished scholar and educator in the field of finance, with a remarkable academic background and research expertise. Holding a doctorate in finance and master’s degrees in related fields like commerce, management, and econometrics, he has established himself as a prominent authority in financial data analytics, technology management, and econometrics modeling. With over 11 years of experience in teaching and research, Dr. Untwal has published numerous papers in esteemed databases like Scopus and Web of Science, solidifying his reputation as a leading researcher in his field. Recognized as a postgraduate faculty member by the S.P. University of Pune since 2008, he has also achieved success in prestigious eligibility tests, including UGC-SET in Management and State Eligibility Test Commerce. Additionally, he has completed a Faculty Development Program from the Indian Institute of Management, Kozhikode (IIM-K). Dr. Untwal’s wealth of knowledge and experience make him an invaluable contributor to this book. Utku Kose, PhD, a distinguished scholar in computer science and engineering, joins Dr. Untwal in this literary endeavor. With over 200 publications to his name, Dr. Kose has demonstrated his expertise in artificial intelligence, machine ethics, biomedical applications, and more. His impressive academic background and extensive research experience make him a significant contributor to this book.

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