The first two sections appeal to readers with technical backgrounds, describing data analysis and ways to manipulate markets and commit crimes. The third section gives life to the information through a series of interviews with bankers, regulators, lawyers, investigators, rogue traders, and others.
The book is sharply focused on analyzing the origin of a crime from an economic perspective, showing Big Data in action, noting both the pros and cons of this approach.
- Provides an analytical/empirical approach to financial crime investigation, including data sources, data manipulation, and conclusions that data can provide
- Emphasizes case studies, primarily with experts, traders, and investigators worldwide
- Uses R for statistical examples
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