Big Data in Finance : Opportunities and Challenges of Financial Digitalization

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¥28,376
  • 電子書籍

Big Data in Finance : Opportunities and Challenges of Financial Digitalization

  • 言語:ENG
  • ISBN:9783031122392
  • eISBN:9783031122408

ファイル: /

Description

This edited book explores the unique risks, opportunities, challenges, and societal implications associated with big data developments within the field of finance. While the general use of big data has been the subject of frequent discussions, this book will take a more focused look at big data applications in the financial sector. With contributions from researchers, practitioners, and entrepreneurs involved at the forefront of big data in finance, the book discusses technological and business-inspired breakthroughs in the field. The contributions offer technical insights into the different applications presented and highlight how these new developments may impact and contribute to the evolution of the financial sector. Additionally, the book presents several case studies that examine practical applications of big data in finance. In exploring the readiness of financial institutions to adapt to new developments in the big data/artificial intelligence space and assessing different implementation strategies and policy solutions, the book will be of interest to academics, practitioners, and regulators who work in this field.

Table of Contents

Chapter 1: Big Data in Finance: An Overview.- SECTION I: BIG DATA IN THE FINANCIAL MARKETS.- Chapter 2: Alternative Data.- Chapter 3: An Algorithmic Trading Strategy to Balance Profitability and Risk.- Chapter 4: High-Frequency Trading and Market Efficiency in the Moroccan Stock Market.- Chapter 5: Ensemble Models using Symbolic Regression and Genetic Programming for Uncertainty Estimation in ESG and Alternative Investments.- SECTION II: BIG DATA IN FINANCIAL SERVICES.- Chapter 6: Consumer Credit Assessments in the Age of Big Data.- Chapter 7; Robo-Advisors: A Big Data Challenge.- Chapter 8: Bitcoin: Future or Fad?.- Chapter 9: Culture, Digital Assets, and the Economy: A Trans-National Perspective.- SECTION III: CASE STUDIES AND APPLICATIONS.- Chapter 10: Islamic Finance in Canada Powered by Big Data: A Case Study.- Chapter 11: Assessing the Carbon Footprint of Cryptoassets: Evidence from a Bivariate VAR Model.- Chapter 12:A Data-informed Approach to Financial Literacy Enhancement using Cognitive & Behavioral Analytics.


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