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
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
"The applied focus on the role and methods of crime analysts is a much needed addition to the literature on financial crime, which tends to emphasize sociological aspects. This volume is most welcome at a time when the industry is tackling 'Big Data' and generating strong demand for analysts with solid quantitative skills." --Matthew Hickman, Seattle University