Big Data in Finance

Thomas Walker is a Full Professor of Finance and the Concordia University Research Chair in Emerging Risk Management at Concordia University, Montreal, Canada. Prior to academia, he worked for several years in the German consulting and industrial sector at Mercedes Benz, Utility Consultants International, Lahmeyer International, Telenet, and KPMG Peat Marwick.Frederick Davis is an Associate Professor at the John Molson School of Business at Concordia University, Montreal, Canada. Prior to his academic career, he worked for several years in the government sector assisting communities with their economic development. His research interests include mergers and acquisitions, insider trading, big data, and other aspects of corporate finance.Tyler Schwartz holds an MSc degree in Data Science and Business Analytics from HEC Montreal. He has served as a research assistant in the Department of Finance at Concordia University for over four years and is the co-author of an edited book collection on climate change adaptation as well as working papers on social impact bonds and the Sustainable Development Goals (SDGs).

• 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.