Solving Modern Crime in Financial Markets

<p>1. Modern Financial Crime</p> <ul> <li>Innovation and Crime</li> <li>High Frequency Trading</li> <li>Commodities Markets</li> <li>Social Networks and Financial Crime</li> <li>Cryptocurrencies: a New Monetary Vehicle</li> <li>Assessment of the Link between the Betting Industry and Financial Crime</li></ul> <p>2. Forensic Statistics as an Investigation Tool (Theoretical Background)</p> <ul> <li>Truth: a Game of Probabilities</li> <li>Statistical Distributions</li> <li>Forecasting Distributions</li> <li>Genetic Algorithms</li> <li>Statistical Hypothesis Tests</li> <li>Non-parametric Techniques</li> <li>Fuzzy Methods</li> <li>Clustering Techniques</li> <li>Support Vector Machine</li> <li>Assessing the Accuracy of a Fraud Detection Mode</li> <li>Benford's Law</li></ul> <p>3. Investigation of Crime in Financial Markets (Empirical Studies with Applications in R)</p> <ul> <li>Structural Changes in Time Series</li> <li>Exploring Unstructured Data</li> <li>Reading the Balance Sheet of Financial Firms</li> <li>Fraud on the Market Theory</li> <li>Efficient Market Hypothesis Testing</li> <li>Market Prices and Trading Activity</li> <li>Order Book analysis</li> <li>Event Study</li></ul> <p>4. Case Studies (Applications in R)</p> <ul> <li>LIBOR Manipulation</li> <li>EURIBOR Manipulation</li> <li>The Madoff Case</li> <li>Enron - Worldcom</li> <li>Rating Agencies and Crises</li> <li>The FX Fixing Fix</li> <li>The Case of Greenhouse Gas Emissions Allowances Market</li></ul> <p>5. Preventing Crime and Preserving Markets’ Integrity</p> <ul> <li>Stronger Financial Regulation Pros and Cons?</li> <li>Efficient Frameworks for Financial Crime Surveillance</li> <li>Joint Structures for Tackling Financial Offense: Criminal Investigators and Market Regulators</li></ul>