Federal Money Laundering Regulation: Banking, Corporate and Securities Compliance is a comprehensive guide to understanding and complying with all U.S. legislation and regulatory requirements governing money laundering. Carefully written and well-organized, this book is the most authoritative but practical publication available in this subject area. Users of the book include banks, credit unions, securities broker-dealers, casinos, money services businesses, futures commission merchants, mutual funds, insurance companies and other financial institutions and their legal counsel, As well as regulatory and law enforcement agencies, The criminal bar, public accountants, and federal and state courts. The easy-to-use looseleaf format allows the reader to keep the volume up to date as annual supplements are issued. The current volume has approximately 1100 pages, organized in 27 chapters. Read the highlights in the latest supplement for Federal Money Laundering Regulation: Banking, Corporate and Securities Compliance .

Over the past decade and beyond, the need for a modern anti-money-laundering strategy has become widely accepted internationally. Depriving criminal elements of the proceeds of their crimes has increasingly been seen as an important tool to combat drug trafficking and, more recently, as a critical element in fighting organized crime, corruption, and the financing of terrorism, and maintaining the integrity of financial markets. The first few financial intelligence units (FIUs) were established in the early 1990s in response to the need for countries to have a central agency to receive, analyze, and disseminate financial information to combat money laundering. Over the ensuing period, the number of FIUs has continued to increase, reaching 84 in 2003. This handbook responds to the need for information on FIUs. It provides references to the appropriate Financial ActionTask Force (FATF) standards wherever appropriate.

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Originally developed to reduce drug trafficking, efforts to combat money foundering have broadened over the years to address other crimes and, most recently, terrorism. In this study, the authors look at the scale and characteristics of money laundering, describe and assess the current anti-money laundering regime, and make proposals for its improvement. -- From back cover.