Compliance with the AM+L4776L/CFT International Standard
Lessons from a Cross-Country Analysis

Contributor Notes

Author’s E-Mail Address: cverdugo@imf.org

This paper assesses countries' compliance with the Anti-Money Laundering and Combating the Financing of Terrorism (AML/CFT) international standard during the period 2004 to 2011. We find that overall compliance is low; there is an adverse impact on financial transparency created by the cumulative effects of poor implementation of standards on customer identification; and the current measurements of compliance do not take into account an analysis of ML/FT risk, thereby undermining their credibility and the relevance of some of the policy recommendations taken on their basis. Moreover, we also examine the key role of some cultural, institutional, and financial factors in boosting countries' compliance using econometric analysis.

Abstract

This paper assesses countries' compliance with the Anti-Money Laundering and Combating the Financing of Terrorism (AML/CFT) international standard during the period 2004 to 2011. We find that overall compliance is low; there is an adverse impact on financial transparency created by the cumulative effects of poor implementation of standards on customer identification; and the current measurements of compliance do not take into account an analysis of ML/FT risk, thereby undermining their credibility and the relevance of some of the policy recommendations taken on their basis. Moreover, we also examine the key role of some cultural, institutional, and financial factors in boosting countries' compliance using econometric analysis.

I. Introductions

Country compliance with the AML/CFT international standard plays an important role in enhancing the world’s financial system integrity. As money laundering and terrorist financing can occur through many different avenues in different sectors of the economy, the standard itself has become equally broad in scope. The scope and depth of AML/CFT assessments also reflect the natural evolution of the FATF’s peer review process, which over twenty years, has prompted the gradual expansion and refinement of the standard.

The paper argues that the compliance with the AML/CFT standard is low. It therefore becomes more necessary than ever to better understand the factors that challenge compliance with the standard. Once these factors are better understood, addressing them should be part of a comprehensive policy reform agenda. In particular, domestic governance has received considerable attention in the recent past as one of the factors hampering compliance. However, the empirical evidence on the effect of domestic factors on countries’ compliance with regulatory standards is absent in the literature.

This paper attempts to provide an answer to these questions by using an entirely new analytical approach to understanding the factors affecting countries’ compliance with AML/CFT international standard. The purpose of this approach is threefold: (i) review how well countries2 have complied with the AML/CFT international standard during 2004–2011; (ii) analyze what factors explain countries’ compliance with the AML/CFT standard; and (iii) discuss the implications of these findings for the policy agenda.

The paper finds that few countries—in particular, advanced countries3— comply to a larger degree with the AML/CFT standard. The results analyzed in the paper also reveal a widespread weak compliance by financial institutions and the adverse impact on financial transparency created by the cumulative effects of poor implementation of standards on customer identification in the financial sector and FATF-designated non-financial businesses and professions (e.g., trust and company service providers), as well as standards on entity transparency (i.e., ownership and control of companies and trusts).

Moreover, evidence was found that the quality of the domestic regulatory framework helps boost compliance. On the contrary, high net interest margin and prevalence of corruption have the opposite effect. Other sets of factors, such as financial depth, country openness, and illegal activities, do not seem to have an impact on compliance.

Compliance is correlated with the countries’ economic development reflecting a designed weakness in the AML/CFT standard and the assessment of countries’ compliance with it. This is notwithstanding the fact that the approach in measuring compliance has evolved from the traditional “one-size-fits-all” basis into a more risk-based approach. We observe that the relevance of the implementation of AML/CFT measures in countries varies according to their ML/FT risk levels. These levels are not always a factor of the relative low level of development of jurisdictions and their financial systems. While some low-income countries are also at low risk for ML, this is not always the case.

Our findings carry potentially significant policy implications. At the national level, achieving high compliance requires implementing a combination of reforms, including strengthening domestic governance, and improving the coordination of efforts against ML/FT between countries, regulators and private actors. At the international level, the standard and the assessment of countries’ compliance with it need to be better designed to capture countries’ risk for ML/FT (by capturing threats as well as vulnerabilities).4

In the next section, the paper describes the theoretical framework on which this research is based. Section III analyzes the degree of compliance of 161 countries with the AML/CFT standard. Based on cross-country analysis, Section IV explores the determinants of countries’ compliance for 116 countries during 2004–2008.5 Section V describes the caveats of the methodology that we employ in this paper. Section VI presents our conclusions and policy recommendations.

II. Literature Review

The international standard is particularly rigorous and detailed. Established by the Financial Action Task Force (FATF) in 1990, the standard has been updated several times and now consists of 40 Recommendations dealing with anti money laundering and 9 Special Recommendations dealing with combating terrorist financing (the FATF 40+9). To assess a country’s compliance with the FATF 40+9, a team of 4–5 assessors will typically take two weeks on-site to evaluate over 285 essential criteria and judge not only if the legal and regulatory system conforms to the standard, but also if it is being effectively implemented. Each recommendation is rated on a four point scale - non compliant, partially compliant, largely compliant, and compliant. The methodology provides that a rating of compliant shall only be given if all essential criteria are fully met.

How well do countries meet the AML/CFT standard? Interest in this question has grown as the international community (the FATF, the FATF- Style Regional Bodies, and the International Financial Institutions) reached the end of the third round6 of peer assessments and the completion of 161 mutual evaluation reports. This paper examines countries’ compliance with the AML/CFT standard, and the effect of domestic factors on countries’ compliance with the AML/CFT standard. While the literature on how well do countries meet the AML/CFT standard is large, the literature on the effect of domestic factors on countries’ compliance with the AML/CFT is sparse. In the following, we discuss a subset of this literature.

A report on the overall compliance with FATF recommendations was prepared in 2005.7 For that paper, the overall compliance with the recommendations of 18 countries (seven high income, six middle income, and five low income) was assessed.8

Putnam (1988) argues that the effectiveness of an international AML/CFT regime largely depends on the effectiveness of its constituents and vice versa.9 Due to the global nature of ML/FT phenomena, the compliance of domestic regimes with the AML/CFT international standard is seen as the first mechanism for achieving the global effectiveness of AML/CFT regime against a global phenomenon.10

Several authors argue that domestic factors determine the likelihood for implementing international standards. A typical explanation often cited for the absence of countries’ convergence in international rules is that domestic differences persist.11 The literature emphasizes the role of framework conditions such as cultural, institutional and socioeconomic settings as determining the likelihood of change to implement and harmonize international standards.12

Most of these studies consider that cultural factors determine the domestic opportunity for change. Political discourses—the ideas and narratives behind policies and policy change— are set within the broader culture of a country. 13 At the root of the problem of ML are governments’ attitudes towards ML, which dictate its level of acceptance and the extent of the involvement of the banking sector in this activity. Governments must recognize that ML poses a serious threat to democracy and to the soundness of the financial system (Johnson et al., 2002).

Another strand of the literature has examined how institutional factors create both opportunities for and impediments to change. Some authors stress that institutions provide the context in which policy changes are defined. There are limits to institutional explanations, of course. Institutions may accommodate, constrain, or refract policies but can never function as the sole “cause” of policy change.14 An effective domestic AML/CFT regime requires that certain structural elements be in place, such as a good regulatory framework, appropriate measures to prevent corruption, rule of law, and government effectiveness, culture of compliance, an effective judicial system. 15 The lack of such elements, or significant weaknesses or shortcomings in the general framework, may significantly impair the implementation of an effective AML/CFT framework.

The relationship between some economic and financial domestic conditions is somewhat less clearly established. Some socioeconomic and financial domestic conditions are rarely mentioned in the literature but are especially relevant for compliance with the AML/CFT regime. This paper examines the effects of domestic factors, specifically domestic economic and financial factors, on countries’ compliance with the AML/CFT standard.

III. How Well do Countries meet the AML/CFT Standard from 2004 TO 2011 ?

The countries’ compliance has been analyzed for the 161 countries assessed since the revision of the AML/CFT assessment methodology in 2004. Table 2 (Annex 1) shows the countries selected for this section. 16 The scores reflect the levels of compliance at the time these countries were assessed and do not take into account any progress made in addressing deficiencies since then.

Country compliance with each of the FATF 40 + 9 Recommendations is rated according to four categories: compliant (C), largely compliant (LC), partially compliant (PC), and non- compliant (NC). Another category, non-applicable (N/A), is not a rating. It reflects instead situations wherein “…a requirement or part of a requirement does not apply, due to the structural, legal or institutional features of a country.”17 These ratings represent per-recommendation summary assessments of the findings of detailed assessment missions of assessor bodies.

In general, progress has been made in each of the seven components of the AML/CFT compliance: (A) legal; (B) institutional; (C) financial institutions’ prevention; (D)DNBFPs’ prevention; (E) informal sector prevention; (F) entity transparency; and (G) international cooperation. Although there has been substantial improvement in recent years in many countries’ compliance with the AML/CFT components, the analysis indicates that the countries’ degree of compliance remains low (see Figure 1 in Annex 1).18 We can summarize the degree of compliance with the AML/CFT as follows:

Assessed countries’ compliance with the FATF Forty Recommendations—the FATF 40+9— is low. Applying a scale under which a score of 49 represents full compliance with each of the FATF 40+9,19 the average compliance score for the 161 countries assessed using the current methodology from 2004 to 2011 was 20.8 or 42.5 percent. Full compliance on any FATF Recommendation was rare, occurring in only 12.3 percent of the almost 7,889 observations in this dataset.20 Countries achieved the second highest score, largely compliant, 25.5 percent of the time, partially compliant, 35.6 percent of the time, and noncompliant 24.9 percent of the time.21

Different elements of the standard pertain to different components of a country’s AML/CFT regimes. Figure 1 summarizes the AML/CFT compliance with its seven components during 2004-2011.22 See also Table 2 in Annex 1 on jurisdictions’ compliance with the various groups of recommendations.

One clear conclusion is that elements of the standard that have been in place longer have higher compliance ratings, for example:

  • The AML Recommendations, which have been in place since 1990, were more highly rated than the CFT Special Recommendations which were introduced in October 2001.23 The degree of compliance24 for the 40 AML Recommendations was 45 percent and 31.5 percent for the 9 Special Recommendations on CFT.

  • Recommendations concerning designated nonfinancial businesses and professions, which were made subject to the standard only in 2003, have had some of the lowest compliance scores, averaging only 12.1 percent of the theoretical maximum.

It also appears to be easier to enact legislation and set up government institutions than to ensure that the system functions well on an ongoing basis.

  • The degree of compliance for those Recommendations evaluating the criminalization of ML and TF were relatively high at 45.1 percent, and a somewhat broader measure of the strength of the legal system was 41.4 percent. The legal measures are not sufficiently harmonized with the international standard. The wording of the Conventions is rarely transposed fully into domestic legislation.25

  • The Recommendations that assess the strength of AML/CFT institutions (financial intelligence units (FIU), the specialized supervisory bodies, the police, and the judiciary) show a degree of compliance at 50.6 percent. However, some countries fail to provide adequate resources for financial intelligence units (FIU) and regulatory authorities to supervise financial and other institutions for AML/CFT purposes.

  • Compliance with the Recommendations that assess the strength of preventive measures in the financial institutions was lower at 40.1 percent, and, as noted above, compliance was much lower for designated nonfinancial businesses and professions. In particular, some countries maintain weak customer identification policies for preventing access by money launderers and terrorism financiers to financial systems through financial institutions, DNFBPs, and the informal sector.

  • One particular weakness in system functionality was indicated by the significantly low compliance (22.1 percent of the theoretical maximum) that all countries received on Recommendation 5 which concerns customer due diligence measures in financial institutions.

  • Countries were also relatively strong in the area of international cooperation, showing a degree of compliance at 56.3 percent on applicable Recommendations. However, some countries have made inadequate provisions for mutual legal assistance, information sharing, and cooperation both domestically and cross-border.

  • Compliance with the Recommendations that call on countries to have adequate transparency of legal persons and arrangements is relatively high at 40.1 percent. However, in many countries the prevention of ML/FT is still hampered by difficulties in identifying or lack of commitment to identify the ultimate beneficial owners of funds/assets.

  • A higher degree of compliance appears to be associated with a higher level of economic development. In the 46 advanced economies in our sample, the degree of compliance with the AML/CFT is 56.8 percent, whereas, in the 115 emerging economies in our sample, the degree of compliance was lower (37 percent), indicating that wealthy countries have more resources to devote to constructing and implementing complex AML/CFT systems.

  • In many cases it does reflect the measures they have taken to strengthen their supervisory and regulatory systems in advance of, or as a result of, the mutual assessment reports. The financial sector makes an important contribution to the economies of many of the higher-income jurisdictions, and these jurisdictions have taken steps to protect the integrity of their financial industry and their reputations. In general countries seek to avoid the stigma of being perceived to be AML/CFT havens and possibly identified by the ICRG as having strategic AML/CFT deficiencies.26

  • The AML/CFT domestic policies have generally grown more alike over time, in the same group, but at the same time they have moved in an upward direction. For example, in the case of European countries, accession to and membership in the EU seems to be more effective for harmonizing the AML/CFT because the countries have similar regulatory frameworks,27 and the majority of them have participated in the design of the standards, so that they already have similar regulatory frameworks in place. East and South Asian countries and sub-Saharan countries have the lowest degree of overall compliance.

  • While the standard has evolved from a one-size-fits-all basis into a more risk-based approach, it still appears to have been designed mainly for formal financial systems, but the relevance of the AML/CFT measures implementation varies by risk of countries to ML/FT. The risk does not always depend only on the level of development of jurisdictions and financial systems, but rather also on the level of proceeds of crime in the country. While some low-income countries are also at low risk for ML, this is not always the case.

  • Assessing the effectiveness of countries’ implementation of the AML/CFT standard is quite challenging for a number of reasons. In practice, the assessment of effectiveness depends on what the supervised entities and countries’ authorities tell the assessors and the measurement of effectiveness by the existing assessment tools continues to be quite rudimentary. The assessors’ judgment is heavily dependent upon the quality and quantity of the information that the entities and authorities are willing to share. Furthermore, there are other factors undermining the evaluation of effectiveness, including the absence of agreed definitions of effectiveness and rudimentary measurements including, for example, the correlation between suspicious transactions reports, investigations, and convictions. Overall, the entire assessment apparatus suffers from a lack of data and the difficulty of interpreting data meaningfully.

  • The challenges in strengthening the effectiveness of the global AML/CFT regime result from four tensions. Three of these tensions operate at a domestic level: the first lies between financial regulation and political will; the second arises from the difficult interaction between the international standard and its domestic implementation, and the third occurs between government and financial and non-financial institutions. At the international level, the tension lies in the difficulties cash-based economies continue to face in implementing the standard. However, the low compliance with the standard achieved by cash-based economies does not mean that they face a higher risk for money laundering or terrorist financing than do formal economies.

However, all of these results do at least raise the question of whether focusing on AML/CFT compliance ensures progress toward mitigating real ML/TF risk. Fund staff has been working with the FATF to better understand ML and TF risks on the basis of analyzing threat, vulnerability, and consequence. In this connection, future research should include the development of different, broader metrics for analyzing the level of ML/TF risks and the level of criminal activity in a given jurisdiction as well as better methods of capturing and presenting cross-border flows.

In this regard, we have analyzed the relationship between our level of jurisdictions’ compliance with the AML/CFT standard (2004–2011)—as a measure of financial sector vulnerability—and staff’s ranking on systemically-important financial sectors (2009). Figures 2 and 3 in Annex 1 present that relationship. The negative relationship indicates that, in general, smaller, less-connected financial systems are also less compliant with the standard, which is consistent with the rest of the analysis. Looking more closely at the scatter plot, however, helps identifying those relatively large and interconnected financial systems that are also relatively vulnerable to ML based on their low compliance with the standard. This, in turn, can provide a basis for prioritizing the TA and surveillance agenda of the Fund in the area of AML/CFT.

These pictures contribute to the Fund’s analysis of risk, although, of course, they are only a point of departure. A more complete analysis would require both a better proxy for systemic vulnerability than can be provided by compliance scores and other variables which add to the threat dimension. In general, work remains to be done in testing the relationship of compliance to ML/TF risks and on measuring the effectiveness of AML/CFT regimes. Continued work in these directions could open the door to a more nuanced understanding of where the ML/TF-related threats to the international financial system lie than can be derived from simple comparisons of countries’ ratings on their AML/CFT assessments.

IV. Empirical Evidence: Determinants of the AML/CFT Compliance

A. Specification

The AML/CFT Compliance Index (AML/CFT CI) comprises seven components that serve to capture seven groupings of recommendations (legal measures, institutional measures, preventive measures for financial institutions, preventive measures for DNBFPs, preventive measures for the informal sector, entity transparency, and international cooperation).

We used the original compliance rating data, where the measure of compliance was defined as C, ‘Compliant,’ LC, ‘Largely Compliant,’ PC, ‘Partially Compliant,’ NC, ‘Non Compliant,’ and NA, ‘not applicable.’ In order to provide a quantitative measure of AML we replaced existing ratings with the following numbers: C-‘1’, LC-‘0.66’, PC-‘0.33’ and NC‘0’, NA-‘1.’. Each component is demeaned (using the arithmetic mean28) and divided by its standard deviation; that is, each grouping is standardized. For convenience, we rescaled values to a scale of ‘0’ to ‘100.’ 100 equals the best score. To yield the aggregate AML/CFT International Standards Compliance Index for an individual country, the seven components are summed up as follows:

The Compliance Index = Legal+ Institutional+ Financial Institutions Prevention + DNBFPs Prevention+ Informal Sector Prevention+ Entity Transparency +International Cooperation.

Further details on the seven standardized components for each country are provided in annex 2. The Compliance Index is constructed for 116 countries from October 2004 to 2008. The exact availability period of a published MER or a DAR, the body membership, and the assessor body is provided in Table 4 in Annex 2. Details on the recommendations included in every component are also provided in Table 2 in Annex 2.

In this research, the Compliance Index has also been compared with the Principal Component Analysis (PCA) of the 40+9 Recommendations.29 This is a multivariate dimension reduction technique to form a new variable as a linear combination of the variables in the multivariate set. We used the same original rating data used for the AML/CFT Compliance Index. For convenience, we also rescaled PCA values to ‘0’ to ‘100’ scale.

Before estimating the determinants of countries’ compliance, we use simple bivariate cross-correlations between the AML/CFT Compliance Index and cultural, institutional, and economic factors that are associated with high compliance. The analysis uses one observation for each independent variable, represented by the average over the period 2005–2007 for each country when available. The cross-correlations between the AML/CFT Compliance Index and the independent variables (Table 7 in Annex 2) confirm most of the findings in the theoretical literature. Cultural factors and institutional factors matter: countries’ criminalization of ML/FT is associated with high compliance. A high level of governance, that is, better regulatory quality framework and control of corruption, and participation in FATF are usually associated with high compliance. We also find a relatively high negative correlation between net interest margin and the AML/CFT Compliance Index and a positive correlation with financial depth, trade openness, and GDP per capita.

We now propose to estimate a standard a multivariate cross-country compliance-determinant model with an original sample of 116 countries30 assessed from 2004 to 2008 using an OLS regression as a first attempt to econometrically identify the determinants of compliance31. Table 7 (Annex 2) shows that PPP GDP32 per capita is highly correlated with cultural, institutional, and the economic factors that explain the level of development of the economy, therefore we exclude it. We estimate the AMLT/CFT compliance index as follows:

AMLT/CFT Compliance Indexi0+ β1CrimML/FTi 2RQi + |β3COi 4BFATE Memberi 5IDIi 6M2/GDPi 7TradeOpi 8FDI/GDPi + DUMMY YEAR 2007+εi

Where Crim is ML/FT criminalization and represents a cultural factor. RQ is the regulatory quality framework, CO is corruption, and BFATF is the FATF membership, all represent institutional factors. Socioeconomic factors are represented by trade openness (TradeOp) and the UNODC Illicit Drug Index (IDI). Financial factors are represented by net interest margin (Nim), financial depth (M2/GDP), and foreign direct investment net inflows in percent of GDP (FDI/GDP).

Alternative specifications are considered. The ratio of net financial services exports (RNFSE) substitutes M2/GDP in the baseline regression (Specification 2 thereafter). Bank Concentration (Baco) substitutes net interest margin in the baseline regression (Specification 3 thereafter). The ratio of net exports of financial services and the Bank Concentration variables are only used for robustness test purposes.

In addition, we are also going to replicate the regression substituting the AML/CFT Compliance Index with the PCA Index using the same dependent variables. Finally, we are going to replicate the baseline regression using the seven components of the AML/CFT Index as dependent variables.

B. Definition of Variables

Cultural Factors

  • ML/FT Criminalization: This variable captures three issues: (i) whether a country has enacted laws criminalizing the offense of money laundering related to drug trafficking; (ii) whether the country has extended anti-money laundering statutes and regulations to include nondrug-related money laundering; and (iii) it captures whether a country has criminalized the provision of material support to terrorist and/or terrorist organizations. For this variable the value is 3 if the country or jurisdiction has criminalized all of these offenses.

Institutional Factors

  • RQ: The regulatory quality is an indicator that measures the ability of governments to formulate and implement sound policies and regulations that permit and promote private sector development. This variable is selected as an average from 2005 to 2007.

  • CO: The control of corruption is an indicator that takes into account the patterns of official corruption as well as it takes into consideration a laissez-faire attitude toward the business and banking communities that makes a jurisdiction vulnerable to ML/FT. This variable is selected as an average from 2005 to 2007.

  • BFATF: This variable measures if the country is member of the FATF, this dummy captures if the country has participated in the design of the international standards. It measures if the country is a FATF member in the year of the assessment.

Socioeconomic and Financial Factors

Although there has been increasing recognition in recent years of the importance of cultural and institutional factors to explain compliance with the AML/CFT standard at the theoretical level, economic and financial factors are missing in explaining the determinants of compliance. For instance, country openness (trade, FDI, ratio of net export services), financial depth (M2/GDP), banking efficiency (net interest margin and bank concentration) could be also conducive to compliance.

  • Nim: The net interest margin33 captures the accounting value of the bank’s net interest revenue as a share of its interest-bearing (total earning) assets. This variable is calculated as an average from 2005 to 2007.

  • M2/GDP: The ratio measures the overall size of the financial intermediary sector. This is the best available general measure of financial development to compare countries. This variable is calculated as an average from 2005 to 2007.

  • TradeOp: The trade openness ratio measures the significance of the foreign sector as the share of exports and imports of goods and services in percent of GDP. This variable is calculated as an average from 2005 to 2007.

  • FDI/GDP: This indicator measures the net inflows of FDI as a sum of equity capital, reinvestment of earnings, and other short- and long-term capital. This variable is calculated as an average from 2005 to 2007. This variable allows us to measure whether the entrance of capitals is a factor explaining compliance. In principle it seems that FDI is associated to more stable and reputated countries.

  • IDI: The UNODC Illicit Drug Index (IDI 2005) measures each country’s contribution to the global drug problem. This index comprised three components: consumption, production, and trafficking. It is very important to use this index, because the money laundering associated to drugs has been addressed by FATF since 1996. This variable allows us to measure whether there is any relationship between the country compliance and the country contribution to the global problem of drugs.

  • RNFSE: The ratio of net exports of financial services proposed by Zoromé (2007) is an operational and measurable indicator of Offshore Centers (OFCs). This variable tries to capture the characteristics of an OFC— “a country or jurisdiction that provides financial services to nonresidents on a scale that is incommensurate with the size and the financing of its domestic economy”— and leads to a list of countries/jurisdictions that could be classified as an OFC’s.

  • Baco: Bank concentration34 measures the assets of the three largest banks as a share of assets of all commercial banks. It is a measure of lack of competition.

Table 3 in Annex 2 provides a list of the variables and their sources.

C. Empirical Findings

Econometric Results

The main result of our analysis is that, economic, institutional, and financial domestic factors are all critical for boosting the countries’ compliance with the AML/CFT regime. (Table 8, column 2 in Annex 2).35

In particular:

  • A higher degree of compliance appears to be associated with a higher level of economic development. GDP per capita expressed in PPP, used as a proxy for overall financial and economic development, is a significant explanatory variable of compliance, and the parameter estimates have the expected positive sign. However, a somewhat more direct measure of financial sector development, M2/GDP, was not statistically significant to explain compliance. While the general trends of compliance are clear, some interesting features are worth emphasizing. Figure 2.1 shows how close the level of compliance is related to the level of income. In addition we built a scatterplot AML compliance predicted values vs. log of PPP per capita GDP for 116 countries where data were available (Figure 3.1 in Annex 2). Our results show that there is a positive relationship in these countries between the level of economic development and the AML/CFT Compliance Index.

  • Stronger domestic governance36 is associated with higher compliance with the AML/CFT standard. A better regulatory quality framework is estimated to have a positive and statistically significant impact on the country’s compliance with the AML/CFT standard. Also, countries with a low level of control over corruption tend to have lower compliance scores, and the parameter estimates have the expected negative sign. It is necessary to strengthen domestic governance and improve the coordination between state authorities, regulators, and private actors of their efforts against ML/FT.

  • Jurisdictions with high net interest margins37 show lesser overall compliance with the AML/CFT regime. An increase in net interest margin is estimated to have a negative and statistically significant impact on a country’s compliance with the AML/CFT standard, indicating that more competitive banking systems tend to have higher levels of AML/CFT compliance.

  • However, compliance levels do not correlate with a country’s involvement in the global drug economy, which can be seen as a rough proxy for ML/TF risk. 38 In other words, there are countries with high levels of AML/CFT compliance and low levels of involvement in the drug trade and countries with high AML/CFT compliance and that contribute a great deal to the global drug problem. Similarly, low compliance countries are randomly distributed over the UNODC index. The model fits better high-income economies. Figure 3.2 shows the AML/CFT Compliance Index vs. AML/CFT predicted values. The predicted values track the actual compliance Index. The low income countries are those that the real values are far from the perfect fit line. One explanation could be that the majority of the regressors that we use better capture the formal economies for which the AML/CFT standard was designed.

Furthermore, in table 9 in Annex 2 the regressions with the 7 components of the AML/CFT as dependent variables also show that:

  • ML/FT criminalization increases the compliance with legal, institutional, and DNFBP measures.

  • Regulatory quality framework increases compliance with legal, institutional, financial institutions, and informal sector prevention measures.

  • Economies showing a high net interest margin tend to have less compliance with legal, DNFBPs, informal sector, and entity transparency measures.

  • FDI increases compliance with DNFBPs prevention and entity transparency measures. In particular the economies reporting higher FDI net inflows are the ones showing higher compliance with DNFBPs and entity transparency. This could be explained by the evidence that capital is usually invested in sound economies.

  • M2/GDP affects negatively DNFBPs and entity transparency compliance. Economies reporting higher M2/GDP are the ones showing the lesser compliance in these components.

The predicted values for the Legal, Institutional, International Cooperation, and Financial Institution Prevention measures track well the actual compliance with these measures (See Figures 4.4, 5.4, 6.4 and 10.4 in Annex 2). However, the predicted values for DNFBPs, Informal Sector and Entity Transparency measures do not track the compliance with these measures (See Table 9 and Figures 7.4, 8.4, 9.4 in Annex 2). In general, low income countries actual values are far from the perfect fit line.

We have used the PCA to compare the results with the AML/CFT index. The results for the PCA index are shown in Table 8 in Annex 2, columns 6 and are as follows:

  • The criminalization of the money laundering variable appears as a significant determinant in PCA.

  • We failed to find regulatory quality as a determinant of PCA.

  • The control of corruption is not significant for the PCA compliance index.

  • Net interest margin is significant (negative for explaining PCA).

The PCA index is not a good indicator of compliance because by definition does not include the 40+9 AML/CFT measures. It consists of 10 principal components, representing about 67.7 percent of the total variance. The first component captures 38 percent of the variance of the legal, institutional, and part of the financial institutions prevention measures ratings. Each of the rest of the components explains between 6.3 and 2.2 percent of the variance of the rest of the measures. Therefore, it suffers from a number of shortcomings:

  • The PCA does not capture very well the variance of financial institutions measures. In particular, it only captures the 53 percent of variance of the financial secrecy laws ratings (R.4) and 56 percent of the variance of the implementation of sanctions ratings (R.17).

  • The PCA only captures 54 percent of the variance of the supervisory powers to monitor and inspect the AML/CFT regime ratings (R.29).

  • It captures well the variance of DNFBPs’ prevention ratings.

  • It does not provide the best information on the variance of the informal sector prevention. In particular it only captures the 49 percent of the variance of the use of bearer instruments measures ratings (R.33).

  • It only captures the 55 percent of variance of the R.35 concerning the implementation of the international conventions.

Turning to specification 2, no evidence was found to support the theory that the offshore centers are negatively correlated with the overall compliance with the AML/CFT:

  • The ratio of net financial services exports (the measure of the offshore centers financial services) does not explain compliance.

  • It is worth emphasizing that the 28 countries excluded from the original sample due to data limitations include countries considered as important exporters of financial services.

  • Regulatory quality increases compliance when substituting M2/GDP with RNFSE in the main specification.

  • NIM and FDI also matters for compliance when substituting M2/GDP with RNFSE in the main specification.

Finally in specification 3,

  • Regulatory quality increases compliance when substituting NIM with Bank concentration in the main specification.

  • Crim also explains compliance when substituting NIM with Bank concentration in the main specification.

Confirming Theories

Our findings support the literature that emphasizes the importance of institutional structures as both opportunities for and impediments to change.39 Institutions provide the context in which policy changes are defined and therefore accommodate, constrain, or refract their implementation. In addition, findings are consistent with previous studies, such as IMF (2004a), concluding that some preconditions of governance have a significant influence on the implementation of financial sector regulation. Boosting domestic governance is essential for improving compliance and consequently the effectiveness of an international regime.

V. Caveats

The caveats of this research may be grouped as follows: (i) caveats derived from the 2004 methodology40; (ii) caveats that affected the sample, such as bias and self-endogeneity; and (iii) the difficulties encountered in when comparing different domestic data.

  • The 2004 methodology is the main limitation to overall compliance analysis. First, we are assuming that all the reports have the same quality and consistency. However, in accordance with the requirements of the 2004 methodology assessors often base their judgment of effectiveness, on statistical information, which is open to divergent interpretations.

    • Some Recommendations, such as those relating to customer due diligence or supervision, require a single aggregated rating for compliance, but the aggregated score covers considerable information.

    • The great variety in the operational rules and guidelines adopted by countries in the implementation of the AML/CFT measures to DNFBPs should require assessors to review the issues in a more disaggregated manner; strengths or weaknesses observed under one Recommendation can have a cascading effect on a country’s compliance with other Recommendations.

    • Some features of the AML/CFT regime are rated under more than one Recommendation; some criteria have proven difficult to assess in largely cash-based economies.

These factors call for the exercise of caution in interpreting the data produced by assessments.

  • Bias and self-selection limit the validity of the results. 41

    • The sample is not randomly selected. The 116 countries in the sample are countries that have voluntarily submitted themselves to mutual evaluations, through their membership in FATF or a FATF-style regional body, or to an assessment by the IMF or the World Bank.

    • The scientific challenge created by this situation presents certain challenges for which there is not an obvious solution at this stage. Therefore, caution is required in interpreting and extrapolating the results, as there may be unobservable factors involved and the available data is representative of countries that are motivated to report differently than some other countries.

    • Accordingly, the estimator is biased and does not, on average, predict the population parameter correctly. However, based on the expected systematic error that will be present due to the configuration of the sample (high compliance countries are probably reporting more often and more accurately than are noncompliant countries), the curves can still be considered as accurate depictions of the simultaneous relationships of the variables for the countries in the sample.

    • Notwithstanding their weaknesses, the analysis of the findings produced by the tests is necessary and relevant in the absence of an alternative source of data.

  • The aggregation of cross-cultural and cross-country data limits a meaningful result.Each country displays its own peculiarities in defining criminal behavior, elaborating policies, and implementing the international standard, including the recording and reporting of suspicious activity. This creates significant challenges in accurately interpreting the resulting aggregation.

VI. Conclusions and Policy Recommendations42

The paper contains two main conclusions: (i) a comprehensive assessment of countries’ ML/FT risk is overdue. Although some countries have initiated a dynamic process through which all the key components of compliance are improving, it is necessary to evaluate to what extent countries’ compliance with the AML/CFT international standard is effective to lessen countries’ vulnerability to ML and FT and (ii) the standard itself should incorporate more comprehensively the underlying risk of ML/FT, including all sectors that are vulnerable to ML and FT —the financial sector and the real sector (e.g., trade) particularly in relation to international trade. This in turn would allow countries to respond more effectively to existing risks and to adapt its AML/CFT policies to address those risks changes in ML/FT typologies.

The paper proposes that when a country’s compliance with the standard is insufficient and/or the country’s risk to ML/FT is high, the Fund should pay attention to the economic effects of ML/FT on both the domestic economy and across borders. Currently, the assessment of country compliance with the AML/CFT standard is not sufficient to establish the economic risks and consequences of ML/FT. The Fund should devote the resources necessary to better understand the phenomena of ML and FT, including through the development of a holistic ML/FT vulnerability assessment that would evaluate in addition to the existing areas, the more opaque areas of the financial and real sectors, the transmission channels, and the propagation mechanisms that could affect macroeconomic performance and financial stability.

Existing departmental fora—the preparatory processes for the World Economic Outlook (WEO), the Global Financial Stability Report (GFSR) work, and the Vulnerability Exercise (VE) for advanced economies and emerging market economies—could be adapted to this end. Moreover, these fora have the particular advantage of bringing global and regional developments to bear on the analysis of individual countries.43 The VE44 could serve as a central forum for interdepartmental discussion of emerging market economies that would ultimately feed into the selection and prioritization of AML/CFT issues into Article IV discussions. These exercises could contribute efficiently to the Fund’s macroeconomic analysis as it takes into account criminal and underground market developments. For countries vulnerable to ML/FT, the Fund could elaborate concise analytical briefs on ML/FT that would feed into the broader surveillance agenda. The briefs could serve to identify and prioritize key ML/FT issues to be covered in successive Article IV consultation cycles.

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Annex 1. How Well do Countries Meet the AML/CFT Standard during 2004–2011?

Figure 1.
Figure 1.

Overall Compliance with AML/CFT from 2004–2011 1/

Citation: IMF Working Papers 2011, 177; 10.5089/9781462312306.001.A001

Source: Author calculations.1/The degree of compliance with the AML/CFT is measured along the vertical axis. The further from the origin (0.0), the higher the degree of compliance. The other axes represent each component of the AML/CFT Standard. Compliance is presented as share of the real and theoretical maximum ratings.
Figure 2.
Figure 2.

Relationship between Jurisdictions with Systemically Important Financial Sectors and Compliance with the AML/CFT International Standard

Citation: IMF Working Papers 2011, 177; 10.5089/9781462312306.001.A001

Source: Author calculations based on:1. Table 2 of this annex.2 Stability Assessments under the Financial Sector Assessment Program into Article IV Surveillance; IMF Policy Paper; August 27, 2010.Note: Note that the ranking might change over time (Staff used 2008 data for the paper) when data on size and interconnectedness are updated and/or methodology gets revisited.The following countries, among the 33 jurisdictions identified by the ICRG as having AML/CFT deficiencies, are not included in this chart due to the fact that there was no assessment conducted during the period of 2004-2011: Angola, The Democratic Popular Republic of Korea, Ethiopia, Iran, Kenya, Sao Tome and Principe, and Turkmenistan.
Figure 3.
Figure 3.

Relationship between Jurisdictions with Systemically Important Financial Sectors and Compliance with the AML/CFT Recommendations on Preventing Financial Institutions from ML/TF

Citation: IMF Working Papers 2011, 177; 10.5089/9781462312306.001.A001

Source: Author calculations based on:1. Table 2 of this annex.2 Stability Assessments under the Financial Sector Assessment Program into Article IV Surveillance; IMF Policy Paper; August 27, 2010.Note:Note that the ranking might change over time (Staff used 2008 data for the paper) when data on size and interconnectedness are updated and/or methodology gets revisited.The following countries, among the 33 jurisdictions identified by the ICRG as having AML/CFT deficiencies, are not included in this chart due to the fact that there was no assessment conducted during the period of 2004–2011: Angola, The Democratic Popular Republic of Korea, Ethiopia, Iran, Kenya, Sao Tome and Principe, and Turkmenistan.
Table 1.

The AML/CFT Groupings

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Source: 2004 Methodology
Table 2.

Countries’ Compliance with Groupings of AML/CFT Recommendations (2004–2011) Advanced Economies

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Source: Staff calculations.The table is not meant to describe a jurisdiction’s current level of compliance with the AML/CFT standard, but rather the level of compliance at the time of its most recent DARs and MERs, indicated in the column “Year of Assessment.” Where DARs and MERs are not published the cells are left blank. Staff used the original compliance rating data, where the measure of compliance was defined as C, ‘Compliant,’ LC, ‘Largely Compliant,’ PC, ‘Partially Compliant,’ NC, ‘Non-Compliant,’ and NA, ‘Not Applicable.’ In order to provide a quantitative measure of AML/CFT compliance we replaced existing ratings with the following numbers: C-’1’, LC-’0.66’, PC-’0.33’ and NC-’0’, NA-’1.’ The legal measures include R.1, R.2, R.3, SR.I, SR.II, and SR.III. Concerning the measurement of components of the AML/CFT regime: Institutional measures are evaluated through the scores on R.26, R.27, R.28, R.29, R.30, R.31, and R.32. Preventive financial sector measures through scores for R.4, R.5, R.6, R.7, R.8, R.9, R.10, R.11, R.13, R.14, R.15, R.17, R.18, R.19, R.21, R.22, R.23, R.25, SR.IV, SR.VI, and SR.VII. For preventive DNFBPs measures: R.12, R.16, and R.24. Measures preventing the abuse of the informal sector: R.20, and SR.IX. Entity transparency measures: R.33, R.34, and SR.VIII. International cooperation measures: R.35, R.36, R.37, R.38, R.39, R.40, and SR.V. AML-specific compliance is measured by the scores on FATF Recommendations 1 to 40. CFT-specific compliance through those on FATF Special Recommendations I to IX.For each grouping of recommendations, the level of compliance is the sum of the numbers assigned to each individual rating composing the subset (e.g. for the grouping related to the informal sector, which includes R.20 and SR.IX, if both recommendations are rated PC, the level of compliance would be 0.66. The maximum level of compliance would be 2 if both recommendations are rated C).The list of advanced economies includes those economies defined in the WEO (2011) and major OFCs.