​This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in

Financial Analytics with R sharpens readers' skills in time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securiti

Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overloa

Split into six parts, contributors explore ways to integrate Audit Analytics techniques into existing audit programs for the financial industry. Chapters includ

A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introductio