Today, emerging technologies offer a new pathway for advancing the economy in the fields of banking, finance, and capital markets. Blockchain applications play a crucial role in ensuring trust and security within these industries by relying on transparency and visibility through peer-to-peer networks. The banking industry has also witnessed increased operations speed, better transparency, efficiency enhancement, fraud extenuation at less cost while sharing real-time data between various parties. Thus, the adoption of blockchain in the Banking and Insurance industry is developing very fast. It has emerged as the commonly accepted default platform for the banking and insurance industry.

This book explores how blockchain technology optimizes and integrates transactions and operations, facilitating easier access to information. This, in turn, has the potential to reduce communication costs and minimize minor data transfer errors. Additionally, the book delves into the current applications of blockchain technology in the financial industry, discusses its limitations, and outlines its future prospects for broader accessibility.

This book is aimed at students and researchers in financial engineering and fintech and it can serve as a reference for identifying problem areas and their possible solutions.

About the Author

Dr. Mohammad Irfan holds MBA (Finance and Marketing), M.Com (Account and Law), and M.A. (Eco). He has done his Ph.D. from the Central University of Haryana and qualified UGC-SRF/JRF/NET in Management and UGC-NET in Commerce. Dr. Irfan has also qualified NSEs Certification of Financial Market in Capital Market Model and BSEs Certification of Islamic Finance, Banking and Capital Market. He has authored more than 56 research papers published in Scopus indexed journals, his citations reached 111+ along with a 6 H-index and he has published 6 books Dr. Irfan has been teaching Graduate and Postgraduate Subjects for the last sixteen years in the areas of Financial Management, SAPM, Data Analysis for Business, Financial Engineering, Fintech, and Financial modeling in Excel, Eview, Stata, SPSS, and VOSviewer software’s.

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