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This comprehensive source of information about financial fraud delivers a mature approach to fraud detection and prevention. It brings together all important aspect of analytics us… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code needed.
This comprehensive source of information about financial fraud delivers a mature approach to fraud detection and prevention. It brings together all important aspect of analytics used in investigating modern crime in financial markets and uses R for its statistical examples. It focuses on crime in financial markets as opposed to the financial industry, and it highlights technical aspects of crime detection and prevention as opposed to their qualitative aspects. For those with strong analytic skills, this book unleashes the usefulness of powerful predictive and prescriptive analytics in predicting and preventing modern crime in financial markets.
Upper-division undergraduates, graduate students, and professionals in finance, accounting, and law who are working with forensic data and analytics to solve financial crimes
1. Modern Financial Crime
2. Forensic Statistics as an Investigation Tool (Theoretical Background)
3. Investigation of Crime in Financial Markets (Empirical Studies with Applications in R)
4. Case Studies (Applications in R)
5. Preventing Crime and Preserving Markets’ Integrity
MF