Introduction to the Theories and Varieties of Modern Crime in Financial Markets explores statistical methods and data mining techniques that, if used correctly, can help with crime detection and prevention. The three sections of the book present the methods, techniques, and approaches for recognizing, analyzing, and ultimately detecting and preventing financial frauds, especially complex and sophisticated crimes that characterize modern financial markets.

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.

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.

Serving as an introduction to one of the "hottest" topics in financial crime, the Value Added Tax (VAT) fraud, this new and original book aims to analyze and decrypt the fraud and explore multi-disciplinary avenues, thereby exposing nuances and shades that remain concealed by traditional taxation oriented researches. Quantifying the impact of the fraud on the real economy underlines the structural damages propagated by this crime in the European Union. The ‘fruadsters’ benefit when policy changes are inflicted in an economic space without a fully fledged legal framework. Geopolitical events like the creation of the Eurasian Union and ''Brexit'' are analyzed from the perspective of the VAT fraud, thereby underlining the foreseeable risks of such historical turnarounds. In addition, this book also provides a unique collection of case studies that depict the main characteristics of VAT fraud.

Introduction to VAT Fraud will be of interest to students at an advanced level, academics and reflective practitioners. It addresses the topics with regards to banking and finance law, international law, criminal law, taxation, accounting, and financial crime. It will be of value to researchers, academics, professionals, and students in the fields of law, financial crime, technology, accounting and taxation.

Introduction to the Theories and Varieties of Modern Crime in Financial Markets explores statistical methods and data mining techniques that, if used correctly, can help with crime detection and prevention. The three sections of the book present the methods, techniques, and approaches for recognizing, analyzing, and ultimately detecting and preventing financial frauds, especially complex and sophisticated crimes that characterize modern financial markets.

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.

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.

Serving as an introduction to one of the "hottest" topics in financial crime, the Value Added Tax (VAT) fraud, this new and original book aims to analyze and decrypt the fraud and explore multi-disciplinary avenues, thereby exposing nuances and shades that remain concealed by traditional taxation oriented researches. Quantifying the impact of the fraud on the real economy underlines the structural damages propagated by this crime in the European Union. The ‘fruadsters’ benefit when policy changes are inflicted in an economic space without a fully fledged legal framework. Geopolitical events like the creation of the Eurasian Union and ''Brexit'' are analyzed from the perspective of the VAT fraud, thereby underlining the foreseeable risks of such historical turnarounds. In addition, this book also provides a unique collection of case studies that depict the main characteristics of VAT fraud.

Introduction to VAT Fraud will be of interest to students at an advanced level, academics and reflective practitioners. It addresses the topics with regards to banking and finance law, international law, criminal law, taxation, accounting, and financial crime. It will be of value to researchers, academics, professionals, and students in the fields of law, financial crime, technology, accounting and taxation.