Introduction to the Theories and Varieties of Modern Crime in Financial Markets

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9780128012215: Introduction to the Theories and Varieties of Modern Crime in Financial Markets

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.

  • 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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From the Back Cover:

Statistical methods and data mining techniques, if used correctly, can help crime detection and prevention.  Three sections of this book present the methods, techniques, and approaches for recognizing, analyzing, and ultimately detecting and preventing financial frauds, especially complex and sophisticated ones that characterize modern financial markets. The first two appeal to readers with technical backgrounds. First, an analytic section on data describes the data themselves, then the second section describes ways to manipulate markets and commit crimes. The third section gives life to the data and crimes through a series of interviews with bankers, regulators, lawyers, investigators, rogue traders, and others. Limited to the goal of analyzing the origin of a crime from an economic perspective, Data Mining and Crime Analysis in Financial Markets shows Big Data in action, noting both pros and cons of the approach.

About the Author:

Dr. Marius-Cristian Frunza's consulting work with investment banks and asset managers allowed him to specialize in risk management, derivative pricing and hedging. His research activity encompasses topics around environmental finance like forestry, energy, and weather derivatives. He graduated from the Ecole Polytechnique in Paris and holds a PhD in mathematics from the Sorbonne university. He is also a partner in Schwarztal Kapital, an independent advisory and investment firm in environmental finance.

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Book Description Elsevier Science Publishing Co Inc, United States, 2015. Hardback. Book Condition: New. 235 x 190 mm. Language: English . Brand New Book. 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. Bookseller Inventory # AA59780128012215

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Book Description Elsevier Science Publishing Co Inc, United States, 2015. Hardback. Book Condition: New. 235 x 190 mm. Language: English . Brand New Book. 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. Bookseller Inventory # AA59780128012215

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Book Description Elsevier Science Publishing Co Inc. Hardback. Book Condition: new. BRAND NEW, Introduction to the Theories and Varieties of Modern Crime in Financial Markets: Forensic Statistics and Case Studies, Marius-Cristian Frunza, 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. * 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. Bookseller Inventory # B9780128012215

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