Call for Chapters: Algorithmic Training, Future Markets, and Big Data for Finance Digitalization

Editors

Hamad Raza, Government College University Faisalabad, Pakistan
Ahsan Riaz, Government College University Faisalabad, Pakistan
Nimra Riaz, The University of Faisalabad, Pakistan
Suresh Ramakrishnan, Universiti Teknologi Malaysia, Malaysia

Call for Chapters

Proposals Submission Deadline: May 12, 2024
Full Chapters Due: August 4, 2024
Submission Date: August 4, 2024

Introduction

This book titled "Algorithmic Training, Future Markets, and Big Data for Finance Digitalization,” seeks to enlighten its readers about the most current and transformative trends in the world of digital finance, from digital currencies to blockchain, fintech, financial inclusion and artificial intelligence. It brings together diverse voices from academia, industry leaders, and technology experts to offer a comprehensive analysis of how technology is revolutionizing financial services, investment practices, risk management strategies and market dynamics. This book is ideal for business professionals, academicians, entrepreneurs, finance scholars, and anyone keen on understanding the future of finance digitalization.

Objective

The purpose of this book is to elucidate the links between algorithmic training, future market analysis, and big data utilization within finance. By providing a comprehensive synthesis of these components, this book seeks to give readers practical insights for navigating the evolving landscape of financial markets in the digital age. Moreover, It adds depth to current research by offering relevant theoretical frameworks and the latest empirical research findings in this area. This book will be written for professionals who want to improve their understanding in finance and technology integration. Ultimately, it serves as a catalyst for more research and advancement in this rapidly evolving field.

Target Audience

The target audience of this book will be diverse, including finance professionals, data scientists, researchers, academicians, and technology enthusiasts working in various fields i.e. business management, finance, social science, computer science and information technology. Finance professionals such as traders, portfolio managers, and risk analysts will find practical insights to enhance their investment strategies and risk management techniques. Data scientists and researchers will benefit from the exploration of algorithmic trading techniques and big data applications in finance, advancing their understanding of cutting-edge methodologies. The Academicians in the field of finance, computer science, and data analytics will find valuable theoretical frameworks and empirical evidence to enrich their research endeavors. Technology enthusiasts keen on the intersection of finance and technology will gain a deeper understanding of how big data is transforming investment practices and market dynamics, making this book essential reading for anyone navigating the digital transformation of finance.

Recommended Topics

• Digital Currencies • Digital Finance • AI in Finance • Blockchain Revolution • Crypto Currency • Fintech and Financial Inclusion • The Fintech Revolution • Ethical Implications of Fintech • Businesses in the Digital Age • Fintech for Small Businesses • Bridging the Financial Divide of Financial Inclusion • Financial Inclusion Through Innovation • Artificial Intelligence and Big Data in Finance • Algorithmic Trading and the Future of Markets • Big Data and Personalized Finance • Ethical Implications of AI in Finance

Submission Procedure

Researchers and practitioners are invited to submit on or before May 12, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by May 26, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by August 4, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Algorithmic Training, Future Markets, and Big Data for Finance Digitalization. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

May 12, 2024: Proposal Submission Deadline
May 26, 2024: Notification of Acceptance
August 4, 2024: Full Chapter Submission
September 15, 2024: Review Results Returned
October 13, 2024: Final Acceptance Notification
October 20, 2024: Final Chapter Submission



Inquiries

Hamad Raza
Government College University Faisalabad
hamadraza@gcuf.edu.pk

Ahsan Riaz
Government College University Faisalabad
ahsanriaz@gcuf.edu.pk

Nimra Riaz
The University of Faisalabad
nimrariaz2027@gmail.com

Suresh Ramakrishnan
Universiti Teknologi Malaysia
suresh@utm.my



Classifications


Business and Management; Computer Science and Information Technology; Social Sciences and Humanities
Back to Call for Papers List