Regardless of whether this provision ultimately is enacted, the underlying issue will persist.  This post discusses some of the general concerns that the art and antiquities world can be misused as a conduit for dirty money.  We then discuss the AML Standards for Art Market Operators proposed by the Basel Institute on Governance, and similar standards set forth by the Responsible Art Market, both of which attempt to set forth a framework for those in the business of trading art to mitigate their money laundering risks.
The Chinese art market, where regulation is lax, is thought to be particularly prone to money laundering. "The [Chinese] art market has become more and more abnormal," Wang Shouzhi, dean of the Cheung Kong School of Art and Design at Shantou University, told the South China Morning Post in April. "It is saturated with business tricks, fake works and fake prices. … It has become a tool for corruption and money laundering."
Further, and as noted, other traditional vehicles for laundering money have become less attractive, thereby driving those who need a mechanism to launder large sums into the arms of the art world.  As we repeatedly have blogged, one of the most time-honored and relatively convenient vehicles for laundering — real estate — is under intense scrutiny and now is subject in the U.S. to the Financial Crimes Enforcement Network (“FinCEN”)’s ongoing Geographic Targeting Orders (these require U.S. title insurance companies in many parts of the U.S. to identify the natural persons behind legal entities used in purchases of residential real estate involving $300,000 or more and performed without a bank loan or similar form of external financing).
Any art object—paintings, sculpture, jewelry, ceramics, fine furniture, and decorative pieces of all kinds—can be forged. The difficulty of forging, however, is as important as market price in determining what is forged. Probably fewer than 1 percent of stone sculptures are false because they require so much labour to make and their market is limited, but as many as 10 percent of modern French paintings on the market may be forgeries. The technical difficulties in making a convincing imitation of an ancient Greek vase are so great that forgeries are almost nonexistent. In contrast the forgery level of tiny archaic Greek and Cretan bronze statuettes, which are simple to cast, is possibly as high as 50 percent. A forger is most likely to succeed with a mediocre piece in the middle price range because such a piece probably will never be subjected to definitive examination. Although the price should be low enough to allay suspicion, the object can still yield a fair return for the effort expended by the forger.
The fundamental consideration in determining forgery is “intent to deceive.” The act of copying a painting or other work of art is in itself not forgery, nor is the creation of a work “in the style” of a recognized painter, composer, or writer or of a particular historical period. Forgery may be the act not of the creator himself but of the dealer who adds a fraudulent signature or in some way alters the appearance of a painting or manuscript. Restoration of a damaged painting or manuscript, however, is not considered forgery even if the restorer in his work creates a significant part of the total work. Misattributions may result either from honest errors in scholarship—as in the attribution of a work to a well-known artist when the work was in fact done by a painter in his workshop, a pupil, or a later follower—or from a deliberate fraud.
Statistical analysis of digital images of paintings is a new method that has recently been used to detect forgeries. Using a technique called wavelet decomposition, a picture is broken down into a collection of more basic images called sub-bands. These sub-bands are analyzed to determine textures, assigning a frequency to each sub-band. The broad strokes of a surface such as a blue sky would show up as mostly low frequency sub-bands whereas the fine strokes in blades of grass would produce high-frequency sub-bands.[19] A group of 13 drawings attributed to Pieter Brueghel the Elder was tested using the wavelet decomposition method. Five of the drawings were known to be imitations. The analysis was able to correctly identify the five forged paintings. The method was also used on the painting Virgin and Child with Saints, created in the studios of Pietro Perugino. Historians have long suspected that Perugino painted only a portion of the work. The wavelet decomposition method indicated that at least four different artists had worked on the painting.

Becky Those kind of questions are why the author wrote the book and we read it. Continue reading and you will discover the answers to your questions. If we…moreThose kind of questions are why the author wrote the book and we read it. Continue reading and you will discover the answers to your questions. If we answer those questions for you, it will spoil the reading.(less)
In the 18th and 19th centuries, the mania for classification and study of the past resulted in an upsurge in forgeries as the art market adjusted to accommodate the new interest in the artistic past. That interest in the classification of the past also led to the founding of academic disciplines such as the history of art. The study of art history and the creation of agreed-upon bodies of work for artists and eras, as well as advances in science, made possible in the 20th century the winnowing out of forgeries, fakes, and misattributions from authentic works. As art historians gained more knowledge about the past and the styles, materials, and working conditions of artists and historical epochs, inauthentic and fraudulent works were more readily exposed.