Trade-Based Money Laundering: Operations & Detection

Table of Content

• What Is Trade Based Money Laundering?
• How Trade Based Money Laundering Works
• Methods Used In Detecting Trade Based Money laundering

What Is Trade Based Money Laundering?

Trade-based money laundering is the intentional misrepresentation of the price, quantity, quality, or description of imports and exports in order to transfer value and obscure the true source of the money being laundered. Traditional money laundering methods rely only on financial institutions but trade-based money laundering exploits International commerce. This includes trade finance, shipping, customs, and regulatory frameworks. Criminals prefer this method because trade transactions occur in different jurisdictions, have complex documents and legitimate activities that provide the perfect cover for their nefarious activities. Drug cartels, terrorist organizations, evaders of sanctions and tax criminals, exploit trade channels, thus making trade-based money laundering, a funding vehicle, with industries dealing in agricultural products, electronics, textiles, precious metals, being highly vulnerable.

How Trade Based Money Laundering Works

Trade-based money laundering operates through four ways, with each exploiting various aspects of commercial transactions to obscure the origin of the illegal funds.

Over and Under-Invoicing

This is the most common method and it involves the intentional misrepresentation of prices of goods in order to transfer excess value between parties. In over-invoicing, the buyer pays way more than the market value with the excess amount being the laundered funds. For example, the cost of a computer worth £1,000 might be invoiced for £3,000, allowing the buyer to justify a £2,000 transfer to the seller, which invariably are proceeds of laundering. The seller then returns the excess amount through cash payment, separate transactions, or it becomes value stored for use at a later date. Under-invoicing is the reverse of the aforementioned and here goods are sold below the market value, and the difference is compensated through alternative channels.

Multiple Invoicing

It involves creating multiple payment requests for the same shipment. Criminals typically establish shell companies in different jurisdictions and submit invoices for the same goods to different banks or financial institutions. Legitimate goods provide cover for various illegal payments and the excess funds? It is actually money being laundered. Now, let’s assume there’s a single shipment of electronics worth £100,000 and three invoices are generated: one legitimate invoice goes to the actual buyer while two additional invoices from shell companies goes to money laundering associates in different countries. This results in excess payment (£200,000) which appears to be a legitimate trade transaction but in reality, is money that was laundered.

Over and Under-Shipment

The focus here is on quantity rather than price. When it comes to over-shipment, buyers pay for more goods than they receive with the difference of course being laundered funds. Under-shipment on the other hand involves paying for goods that are never delivered, thus creating "phantom shipments" that exist only on paper.

Misrepresentation of Goods and Services

This involves altering the description, quality, or classification of traded items to justify the unusual pricing or facilitate banned transactions. Here criminals describe luxury goods as basic commodities, high-tech equipment as simple electronics, or valuable services as routine consulting. The trade finance terrain provides various opportunities for exploitation, especially through the use of letters of credit, which serves as payment guarantee in international transactions. Criminals alter it by presenting fraudulent documents, altering terms after issuance, or creating circular arrangements where the same funds support different transactions. Another vulnerable area are free trade zones that have simple procedures for customs, limited requirements for physical inspection and somewhat of a relaxed regulatory oversight. These lapses allow goods to be easily repackaged, relabeled, or simply documented without moving them to the presumed destination.

Methods Used In Detecting Trade Based Money laundering

Inconsistencies in the invoice is often an indicator especially when the description of goods does not match that of the shipping manifests, or quantities are different across various documents, or the price appears to be inconsistent with market conditions. For example, an invoice describing "electronic components" valued at £15 per unit, followed by a bill of lading listing "advanced microprocessors," will instantly raise questions about the document’s accuracy or the legitimacy of the price.

Inconsistency in weight and measurement is another way to detect trade-based money laundering since criminals find it difficult to maintain consistency across various documents that reek of fraud. Payment terms and methods deviate from industry standards and logical business practices. Legitimate trade transactions follow established patterns based on the relationship between parties, the nature of goods, and the business of customs in the region. The unusual payment arrangement which comprises of advance payment for first-time international customers (sent in full), payments through different bank accounts in various jurisdictions, or third-party entities with no apparent connection to the transaction who settle same, all point towards potential money laundering activities. Paying in cash for high-value international shipments is a strong indicator since genuine businesses generally use payment methods that are documented and provide audit trails and legal protection.

There are also behavioural and transactional indicators which focus on the conduct of individuals and companies involved in potentially suspicious trade activities. Warning signs can be deduced from customer’s behaviour such as being reluctant to provide standard information about the business, unusual urgency in completing transactions, apparent indifference to standard business terms such as delivery schedules or quality specifications, and the demonstration of lack of knowledge about the goods being traded. For instance, an importer of computer equipment who shows no interest in the technical specifications, delivery timelines, or warranty terms or a customer who accepts unusual pricing void of negotiations, or agrees to unfavourable terms without question or seem more concerned about payment for logistics rather than commercial terms, are clear indicators.

An analysis of the shipping routes and destination can act as an indicator as well. For instance, where goods are shipped from China to Mexico via Dubai and Italy, instead of being sent through the direct routes which are obviously more cost effective. A major deviation from actual market prices, especially when it’s more beneficial to one party, also indicates a transfer of potential value that is beyond legal commercial considerations. Systems for advanced detection purposes now integrate real-time pricing feeds and data on the commodity market. Machine learning algorithms identify pricing patterns that are inconsistent with legitimate business activities while accounting for other factors e.g. discount in quantity, variation of quality and seasonal fluctuations in the market.

There are geographic and entity-based indicators which focus on jurisdictions, companies, and individuals involved in trade transactions. High-risk jurisdictions include countries with weak anti-money laundering controls, limited regulatory oversight of trade activities, major criminal activities or concerns about sanctions-related matters. However, detecting trade-based money laundering goes beyond jurisdiction-based screening to examine the specific entities involved in the transactions. Shell companies that have little history of their operations, unclear purpose of the business or ownership structures that obscure beneficial ownership, are clear pointers. Companies that have just been set up to engage in high-value international trade, businesses operating from residential addresses or shared office spaces and entities with bank accounts in jurisdictions different from their registered locations, will warrant further examination.

Technology has enabled the utilization of advanced analytics, machine learning, and artificial intelligence to process huge amounts of trade data and to spot suspicious patterns that would have been impossible to detect via manual review. Presently, systems can analyze pricing set against market benchmarks, compare shipping routes against logistics patterns, assess party relationships by analyzing networks, and identify document inconsistencies through optical character recognition and natural language processing. These systems continually learn from new data, thus improving their detection capabilities and reducing false positives.

In conclusion, by exploiting the complexity of global trade, criminals hide the origin of illegal funds under the guise of genuine transactions, making detection difficult for regulators, customs officials, and financial institutions. However, the adoption of advanced analytics, artificial intelligence, and co-operation across borders is arming authorities and financial institutions with tools to spot irregularities that would have gone unnoticed.

Invest in yourself by gaining relevant skills in the fight against financial crime through our anti- money laundering course. It is comprehensive, beginner friendly and taught by our expert professional.