Artificial Intelligence for Capital Market throws light on the application of AI/ML techniques in the financial capital markets. This book discusses the challenges posed by the AI/ML techniques as these are prone to "black box" syndrome. The complexity of understanding the underlying dynamics for results generated by these methods is one of the major concerns which is highlighted in this book.
Features:
Showcases artificial intelligence in finance service industry
Explains credit and risk analysis
Elaborates on cryptocurrencies and blockchain technology
Focuses on the optimal choice of asset pricing model
Introduces testing of market efficiency and forecasting in the Indian stock market
This book serves as a reference book for academicians, industry professionals, traders, finance managers and stock brokers. It may also be used as textbook for graduate level courses in financial services and financial analytics.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Academic, Postgraduate, and Undergraduate Advanced
Illustrationen
47 s/w Abbildungen, 47 s/w Photographien bzw. Rasterbilder, 20 s/w Tabellen
20 Tables, black and white; 47 Halftones, black and white; 47 Illustrations, black and white
Maße
Höhe: 260 mm
Breite: 183 mm
Dicke: 15 mm
Gewicht
ISBN-13
978-1-032-35393-7 (9781032353937)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Syed Hasan Jafar is a Program Chair of MBA Financial Services and Area Chair of Finance at Woxsen University. He is having around 13 Years of Experience in the field of Finance and worked as a Research Analyst, Deputy Research Head, and Corporate Trainer. He comes on several national media channels as a financial expert for sharing his view on the financial market. His areas of expertise are Security Analysis, Corporate Finance, Equity and Derivative Research, and Valuation. He has taken several sessions in top universities in India and abroad. He Awarded as Best faculty of the year 2020-21 in Woxsen School of Business, Woxsen University. He conducted more than 50 Investor awareness programs across the country and was awarded the best Research Analyst several times during his corporate experience.
Hemachandran Kannan has been a passionate teacher with 15 years of teaching experience and 5 years of research experience. A strong educational professional with a scientific bent of mind, highly skilled in AI & Business Analytics. After receiving a PhD in embedded systems, He started focusing on Interdisciplinary research. He served as an effective resource person at various national and international scientific conferences and also gave lectures on topics related to Artificial Intelligence. He was bestowed as Best faculty at Woxsen University in 2021-2022 and also in Ashoka Institute of Engineering & Technology in 2019 - 2020. He is having rich working experience in Natural Language Processing, Computer Vision, Building Video recommendation systems, Building Chatbots for HR policies and Education Sector, Automatic Interview processes, and Autonomous Robots. He is working on various real-time use cases and projects in collaboration with Industries such as Advertflair, LLC, Course5i and Apstek Corp. He has organized many International Conferences, Hackathons and Ideathon. He owed four patents to his credentials. He has a life membership in estimable professional bodies. An open-ended positive person who has a stupendous peer-reviewed publication record with more than 35 journals and international conference publications. His editorial skills made him include as an editorial board member in numerous reputed Scopus / sci journals.
Hani El-Chaarani is an associate professor in finance. He holds a Ph.D in Business Administration from the University of Bordeaux-IV (France), MSc in Business Administration from IAE-Bordeaux (France) and Master in Finance and Accounting from Lebanese University. He is the director of the faculty Business Adminsitration at Beirut Arab University - Tripoli - Lebanon. He acted as the keynote speaker and delivered professional talks on various international forums. He is co-leading the IBERA (International Business and Economic Research Academy). He published close to 80 scientific works in ranked journals and international conferences. He is a reviewer in several international journals. His research interests include financial behavior, corporate governance, SMEs performance, blockchain, big data management.
Sairam Moturi is an Assistant Professor in Accounting and Finance area at Woxsen university. Mr. Moturi is having 10 years of work experience in Academia and Industry. He is currently pursuing his PhD in Accounting area from University of Hyderabad. His research focuses on Earnings manipulation, Rotation of Auditors and Audit Quality. Moturi is a dual post graduate with MBA (Finance & Human Resources) and Masters in Commerce focused in Accountancy and a Certified Accounting Technician by education. At Woxsen he teaches Accounting and Management Accounting courses to undergraduate and postgraduate level programs.
Neha Gupta is a Visiting Assistant Professor at Indian Institute of Management, Rohtak. Her previous association was with Woxsen School of Business, Hyderabad where she headed Case Study Centre and was a part of Institutions of Innovation Council, Ministry of Education. She has pursued her PhD in the domain of Finance from Birla Institute of Technology and Science, Pilani campus. Her research interests constitute Financial Economics, Behavioural Finance and Machine Learning.
Herausgeber*in
Woxsen University, Hyderabad, India
Woxsen University, Hyderabad, India
Beirut Arab University, Tripoli, N. Lebanon
1. Artificial Intelligence in the Financial Service Industry. 2. Machine Learning and Big Data in Finance Services. 3. Artificial Intelligence in Financial Services: Advantages and Disadvantages. 4. Upscaling Profits in Financial Market. 5. Credit and Risk Analysis in the Financial and Banking Sectors: An Investigation. 6. Cryptocurrencies and Blockchain Technology Applications. 7. Machine Learning and the Optimal Choice of Asset Pricing Model. 8. Testing for Market Efficiency Using News-Driven Sentiment: Evidence from Select NYSE Stocks. 9. Comparing Statistical, Deep Learning, and Additive Models for Forecasting in the Indian Stock Market. 10. Applications and Impact of Artificial Intelligence in the Finance Sector.
