Algorithmic Training, Future Markets, and Big Data for Finance Digitalization / [edited by] Hamad Raza, Lyallpur Business School, Government College University, Faisalabad, Pakistan, Ahsan Riaz, Lyallpur Business School, Government College University, Faisalabad, Pakistan, Nimra Riaz, Department of Management Science, Riphah International University, Faisalabad, Pakistan, Suresh Ramakrishnan, Faculty of Management, Universiti Teknologi Malaysia, Malaysia.

Includes bibliographical references and index.

Table Of Contents -- Title Page -- Copyright Page -- Table of Contents -- Detailed Table of Contents -- Preface -- Chapter 1: Business in Digital World -- Chapter 2: Digital Transformation and Financial Sustainability -- Chapter 3: Fintech for Small Business -- Chapter 4: FinTech Adoption for SMEs -- Chapter 5: Navigating the Fintech Wave and Its Background and Challenges -- Chapter 6: Exploring AI's Impact on Fintech and Financial Inclusion -- Chapter 7: Transforming Business in the Digital Age Using Artificial Intelligence (AI) -- Chapter 8: Predicting Customer Transactions Using Machine Learning -- Chapter 9: The Role of Algorithmic Trading in Shaping Futures Market Efficiency -- Chapter 10: Cryptocurrency and Future of Money -- Chapter 11: Decoding Initial Coin Offerings (ICOs) -- Chapter 12: Digital Finance, Financial Inclusion, and Economic Growth -- Chapter 13: The Effect of Market Power on Stability and Financial Performance of Islamic and Conventional Banks in Pakistan -- Chapter 14: Impact of Green Banking Practices on Sustainable Performance of Banks Through Analysis of the Mediating Effect of Green Finance -- Chapter 15: A Bibliometric Analysis of Green Human Resource Management Practices -- Compilation of References -- About the Contributors -- Index.

The purpose of this book is to elucidate the links between algorithmic training, future market analysis, and big data utilization within finance

Description based on print version record.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.