Traditional money and banking textbooks establish the central tenets of the economics of financial markets in a theoretical, academic fashion and rarely offer any knowledge of computer skills. Intelligent Banking bridges this gap by introducing the fundamentals of finance in tandem with the development of programming skills. This book leans heavily on Python programming, while teaching fundamental concepts of money and banking to undergraduate and masters level students.
Along with discussions on the fundamentals, including topics like debt measurement, monetary aggregates and money supply, asset value, risk management, bonds and stocks, the book also teaches the basics of coding and machine learning.
Intelligent Banking is a one-stop-shop for learning first-principle financial concepts with direct coding applications within the span of a college term. The detailed glossaries at the end of chapters and the Python code examples and coursework will help students be better prepared to meet the demands of today's banking and financial companies who are increasingly demanding these skills from their job applicants.
Victor J. Valcarcel is Professor of Economics at the University of Texas at Dallas, USA. He teaches courses at all levels within the intersection of banking, finance, and macroeconomics. He is the Treasurer Secretary of the Society for Economic Measurement. He has been a visiting research scholar at the Federal Reserve Bank of Kansas City. He previously taught in various capacities at Texas Tech University and the University of Kansas. He is an irredeemable dog lover.
