Artificial Intelligence and Machine Learning-Powered Smart Finance

Artificial Intelligence and Machine Learning-Powered Smart Finance

Release Date: February, 2024|Copyright: © 2024 |Pages: 347
DOI: 10.4018/979-8-3693-3264-1
ISBN13: 9798369332641|ISBN13 Softcover: 9798369345054|EISBN13: 9798369332658
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Description & Coverage
Description:

In the field of finance, the pervasive influence of algorithms has transformed the very fabric of the industry. Today, over 75% of trades are orchestrated by algorithms, making them the linchpin for trade automation, predictions, and decision-making. This algorithmic reliance, while propelling financial services into unprecedented efficiency, has also ushered in a host of challenges. As the financial sector becomes increasingly algorithm-driven, concerns about risk assessment, market manipulation, and the ethical implications of automated decision-making have taken center stage. Artificial Intelligence and Machine Learning-Powered Smart Finance, meticulously examines the intersection of computational finance and advanced algorithms and the challenges associated with this technology.

As algorithms permeate various facets of financial services, the book takes a deep dive into their applications, spanning forecasting, portfolio optimization, market trends analysis, and cryptoanalysis. It sheds light on the role of AI-based algorithms in personnel selection, implementing trusted financial services, developing recommendation systems for financial platforms, and detecting fraud, presenting a compelling case for the integration of innovative solutions in the financial sector. As the book unravels the intricate tapestry of algorithmic applications in finance, it also illuminates the ethical considerations and governance frameworks essential for navigating the delicate balance between technological innovation and responsible financial practices.

This book positions itself as a guide for academic scholars grappling with the multifaceted challenges posed by algorithm-driven FinTech. It not only dissects current industry practices but also provides a forward-looking perspective on the future of the financial industry. From algorithm-based financial solutions for stock markets, portfolio optimization, to fraud detection, each chapter offers a rich repository of research findings, case studies, best practices, and conceptual insights. Tailored to meet the intellectual needs of undergraduate, graduate, and executive students, as well as researchers in business, finance, economics, and technology, this book serves as a valuable resource for navigating the complexities of the contemporary financial landscape. It is equally relevant for practitioners, industry leaders, policymakers, investors, and corporate executives seeking to stay ahead of the curve in the ever-evolving world of algorithmic finance.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence and Machine Learning in Finance
  • Automated Trading and Investment
  • Bias in Financial AI Decisions
  • Blockchain Integration with AI
  • Comparative Analysis of Financial Models
  • Credit Scoring and Risk Assessment
  • Customer Service Chatbots in Finance
  • Data Privacy and Regulatory Compliance
  • Ethical Considerations in Finance
  • Explainable AI and Interpretable ML
  • Fraud Detection and Cybersecurity
  • Historical Evolution of AI/ML in Finance
  • Integration of AI with Blockchain
  • Key Algorithms Shaping Finance
  • Lessons from AI Failures in Finance
  • Personalized Finance and Robo-Advisors
  • Quantum Computing in Finance
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Editor/Author Biographies
Sanjay Taneja is an Associate Professor at DOMS, Graphic Era Deemed to be University, Dehradun, India. He received his PG degrees in Management (Gold Medalist) (Finance) from Chaudhary Devi University, Sirsa, India in 2012. He earned his Doctor of Philosophy (Sponsored By ICSSR) in Banking and Finance entitled “An Appraisal of financial performance of Indian Banking Sector: A Compartative study of Public, Private and Foreign banks in 2016 from Chaudhary Devi University, Sirsa, India. Before joining Chandigarh University in Oct. 2021, Sanjay had served three organisations with a total experience of 9+ yrs. He has published various articles in various journals and presented papers at various international conferences. His research mainly focuses on regulations, Banking and Finance in insurance, insurance management, economics and management of innovation in insurance. She has edited 3 books with international and national publishers. He has over 30 publications in his account, and his research works have been published in reputed journals, i.e. Springer, Elsevier, Taylor & Francis, Hindawi and IGI Global, with high impact factor and SCI/SCIE/Scopus/WoS indexing.

Dr. Amandeep Singh holds a Doctorate in Management specializing in Marketing and he is also UGC-NET qualified. He holds more than 16 years of teaching experience. His main area of research is Consumer Sciences and Business Innovations. Currently, he is working as Professor at Chitkara Business School, Chitkara University, Punjab, India. He has published 48 research papers in various journals and conferences which are indexed in Scopus, Web of Science and Google Scholar. He has edited 7 books published by IGI Global, De Gruyter and Wiley. He has also chaired many National and International Conferences. He is on the editorial board of 3 International Journals. He was awarded the Best Teacher in 2008. He is also part of the Board of Studies of various B-Schools and leading universities in Northern India.

|PAWAN KUMAR - Contributing Author|Dr Pawan Kumar is a professor in finance at the Chandigarh University Mohali India. He has a wealth of experience in research and education. He is widely known for his contributions to banking sector research. He does extensive research on topics of banks performance and digital banking, business and accounting. He holds a PhD in finance from Kurukshetra University Kurukshetra India. He has also published 8 books and 40 research papers in reputed Scopus indexed journals.
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