Inhaltsangabe
As financial markets grow more complex and data intensive, traditional computational models reach their limits in speed and adaptability. Quantum computing is a transformative technology poised to revolutionize financial intelligence. By integrating quantum algorithms with machine learning and analytics, a new frontier emerges in autonomous trading systems, capable of analyzing and executing trades with precision. This mixture of quantum technology and financial innovation redefines risk assessment and decision-making while signaling a shift toward more adaptive, intelligent, and efficient market strategies. Quantum-Driven Financial Intelligence: Innovations in Predictive Analytics and Autonomous Trading Systems explores the application of quantum computing in financial modeling and its potential to address complex computational challenges in the financial sector. It examines quantum computing for enhanced financial modeling, risk management, and trading strategies. Covering topics such as data analytics, financial intelligence, and trading systems, this book is an excellent resource for researchers, academicians, business owners, engineers, and data scientists.
Über die Autorinnen und Autoren
Dr. Mohammad Irfan is a Professor at the School of Business and Commerce, Chandigarh University, Uttar Pradesh, Unnao, India. He earned his Ph.D. from the Central University of Haryana and holds an MBA in Finance, an M.Com in Accounts and Law, and an MA in Economics. A UGC-JRF/SRF/NET qualifier in Management and Commerce, he also holds certifications from NSE (NCFM) and BSE. With more than sixteen years of teaching and research experience, Dr. Irfan’s expertise includes Security Analysis and Portfolio Management (SAPM), Artificial Intelligence, Machine Learning, Blockchain, Cryptocurrency, Financial Engineering, FinTech, Green Finance, and Alternative Finance. He has authored over 109 Scopus-indexed research papers in reputed journals such as The Journal of Economic Cooperation and Development (Q2), International Journal of Business Excellence, Montenegrin Journal of Economics (Q2), Cogent Business & Management (Q2), and Journal of Islamic Monetary Economics and Finance. His work has received 734+ citations with an H-index of 15. He has also published 12 books with Springer and IGI Global and is listed among the World’s Top 2% Scientists.
Dr. Gilney Figueira Zebende , He is currently a full professor at the State University of Feira de Santana. He has experience in Physics, with an emphasis on Condensed Matter Physics, working mainly on the following topics: dfa, long-range correlation, dcca, dcca cross-correlation coefficient, rho_dcca coefficient and quantum finance. How AI and Eduction coming togather to resolve the current generation need abd challenges. Dr. Gilney has citaions on his research work 3114+
Prof. Adel Sarea is the winner of Emerald Literati Award 2014 (UK). He possesses over 100 publications indexed in [SCOPUS, SSCI, ESCI, ABDC, ABS], and he has more than a decade of teaching experience. He has been bestowed with many awards and been summoned as the keynote speaker on several occasions. He serves on the editorial team of several international journals published by Elsevier, Emerald, and Taylor & Francis. He is a member of the Accounting and Finance Association of Australia and New Zealand (AFAANZ). In 2015, Prof Sarea has been appointed as a recognized Ph.D. supervisor by Brunel University London. In 2021, he has been entitled as the senior editor of the International Journal of Emerging Markets at Emerald Publishing (UK); associate editor, Heliyon Business and Economics (Elsevier); consulting editor, Journal of Education for Business (Taylor & Francis); associate editor, International Journal of Islamic and Middle Eastern Finance and Management (Emerald); associate editor, ISRA International Journal of Islamic Finance (Emerald); associate editor, Asian Journal of Accounting Research (Emerald); associate editor, Journal of Islamic Accounting and Business Research (Emerald); guest editor, Journal of Financial Reporting and Accounting (Emerald); and associate editor, MENA Journal of Cross-Cultural Management-Inderscience (UK) with 4114+ citations
. Dr. Muhammad Shahbaz research focuses on a range of important topics, including development economics, energy economics, environmental economics, and tourism economics. He is a prolific author, having published over 500 research papers in peer-reviewed international journals such as Energy Economics, Energy Policy, Journal of Banking & Finance, Economic Modeling, Quantum Finance and Applied Economics. His accumulated impact factor is an impressive 2193. Dr. Shahbaz is widely recognized as one of the World’s top authors in the Economics category, as compiled by IDEAS. He has also been named among the top 5 active researchers from developing countries by David McKenzie, Chief Economist at the World Bank. In 2019, Dr. Shahbaz was awarded Scientist of the Year by the Turkish Presidency, and he was also recognized as a distinguished scientist by Dozce University of Turkey in the same year. Additionally, Dr. Shahbaz has been recognized as a highly cited author in the category of economics, business, and social sciences for both 2020 and 2021. According to the AD Scientific Index for economics and econometrics, he is ranked # 43 in the world ranking and #1 in China and Asia based on H-Index ranking in 2023. Overall, Dr. Shahbaz’s impressive accomplishments and contributions to the field of economics make him a highly respected and influential figure in his field.
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