Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization

Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization

Indexed In: SCOPUS
Release Date: December, 2023|Copyright: © 2024 |Pages: 266
DOI: 10.4018/979-8-3693-1746-4
ISBN13: 9798369317464|ISBN13 Softcover: 9798369344897|EISBN13: 9798369317471
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Description & Coverage
Description:

Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very foundation of financial services, it is imperative to hold a deep understanding of the intricate web of computational finance.

Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization takes a comprehensive approach, spotlighting the fusion of artificial intelligence(AI) and algorithms in financial operations. The chapters explore the expansive landscape of algorithmic applications, from scrutinizing market trends to managing risks. The emphasis extends to AI-driven personnel selection, implementing trusted financial services, crafting recommendation systems for financial platforms, and critical fraud detection.

This book serves as a vital resource for researchers, students, and practitioners. Its core strength lies in discussing AI-based algorithms as a catalyst for evolving market trends. It provides algorithmic solutions for stock markets, portfolio optimization, and robust financial fraud detection mechanisms. The text also casts a forward-looking gaze on the industry, predicting future trends while spotlighting the genetic algorithms in high-frequency trading, predictive analysis, and forecasting.

Including research findings, case studies, best practices, and conceptual insights makes this book an indispensable reference for undergraduate, graduate, and executive students specializing in business, finance, economics, and technology. Beyond academia, the book finds resonance with industry professionals, policymakers, investors, and corporate executives, offering a nuanced understanding of the transformative impact of algorithmic approaches in shaping the future of financial technology.

Coverage:

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

  • Algorithmic Finance
  • Artificial Intelligence
  • Automated Trading
  • Computational Finance
  • Cryptoanalysis in Finance
  • Decision-Making
  • Financial Fraud Detection
  • Financial Services Automation
  • Financial Technology
  • High-Frequency Trading
  • Machine Learning in Finance
  • Market Trends Analysis
  • Portfolio Optimization
  • Predictive Analysis
  • Risk Assessment
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Editor/Author Biographies

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.

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.
|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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