Non-compliance behavior of de-risking force the EU to enhance anti-money laundering regulation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kalle Johannes Rose

Purpose Recent research shows that because of money-laundering risks, there has been an increase in the off-boarding of certain types of corporate clients in the financial sector. This phenomenon known as “de-risking” has been argued to have a negative impact on society, because it increases the possible risk of money laundering. The purpose of this paper is to analyze whether the de-risking strategy of financial institutions results in an expansion of the regulatory framework concerning anti-money laundering focusing on off-boarding of clients and, if so, is there a way to avoid further regulation by changing present behavior. Design/methodology/approach This paper applies functional methods to law and economics to achieve higher efficiency in combating money laundering. Findings In this paper, it is found that the continuing of de-risking by financial institutions because of the avoidance strategy of money-laundering risks will inevitably result in further regulatory demands regarding the off-boarding process of clients. The legal basis for the introduction of further regulatory intervention is that some of the de-risking constitutes a direct contradiction to the aim of the present regulatory framework, making the behavior non-compliant to the regulation. Originality/value There has been very little research concerning de-risking related to money laundering. The present research has focused on the effect on society and not the relationship between the financial institutions and the regulator. This paper raises an important and present problem, as the behavior of the financial institutions constitute a response from the regulator that is contradicting the thoughts behind the behavior of the financial institutions. It is found that the paper is highly relevant if an expansion of regulation is to be hindered.

2020 ◽  
Vol 23 (1) ◽  
pp. 11-25
Author(s):  
Kalle Johannes Rose

Purpose Recent research questions the innocence of companies outside the current EU money laundering regulation in terms of contributing to the externality problem of money laundering. The purpose of this paper is to examine how including anti-money laundering as an element of the EU corporate social responsibilities (CSR) directive can contribute to solving the externality problem of money laundering. Based on the principles of CSR and the economic effects of disclosure duties, this paper analyzes the implications an introduction of anti-money laundering policies and disclosure duties can have on corporate clients and the combatting against money laundering. Furthermore, it is the intention of this paper to argue how such a regulatory change can help the financial companies dividing “good” and “bad” clients to prevent money laundering from happening. Design/methodology/approach The method of this paper is a functional approach to law and economics. It seeks to enhance the efficiency of the regulatory framework combatting money laundering by including economic incentive theory. Findings Based on the regulatory framework of the fourth anti-money laundering and counter terrorist financing directive and the directive on criminalizing money laundering, this paper argues that inclusion of anti-money laundering in the EU CSR directive will contribute to solving the externality problem of money laundering in the EU. Additionally, the expansion of the regulatory framework can start a culture, where corporate clients to the financial sector will take active steps toward combatting money laundering. Originality/value The paper identifies a way to change the corporate perception of anti-money laundering prevention from having an incentive of minimal compliance/“race-to-the-bottom” to be a possible element of competition between companies through their CSR strategy. While most research focuses on the financial sector in terms of money laundering, this paper takes the next step and includes corporate clients in the financial sector.


2020 ◽  
Vol 21 (4) ◽  
pp. 445-458
Author(s):  
Kalle Johannes Rose

Purpose Recent research and market effects within the European Union (EU) show a rising concern toward the de-risking of certain sectors/actors owing to the increased anti-money laundering regulation. Because of the enhanced due diligence and monitoring costs related to anti-money laundering and counter-terrorist financing regulation by the AMLD4 and AMLD5, several financial institutions now turn to de-risking their corporate client base to minimize not only costs from monitoring and onboarding but also the risks of sanctions and reputation. The purpose of this paper is to analyze the incentives behind de-risking and the relevant solution models to the de-risking “crisis.” Overall, to find, to what extend de-risking is efficient and when it is not and how to mitigate the concept. Design/methodology/approach This paper applies a functional approach to law and economics with the aim of reaching a higher level of efficiency in combatting money laundering through analyzing present regulatory and economic conditions. Findings It is found that de-risking within the EU opposes the aim of the present regulatory scheme regarding anti-money laundering. The paper finds that it is needed to divide the analysis of de-risking to a national and regional/union level. In addition, this paper establishes that the present strategy of de-risking at national level eventually will result in enhanced regulation to fulfill the aim of the present regulatory framework, which is why a proactive approach by recontracting the client base is recommended. At a regional level, it is found that de-risking is valid, why a solution needs to come from the EU enhancing control, monitoring and sanctions to establish trust and the possibility for financial inclusion. Originality/value Most of the recent research within the field highlights the problem of de-risking and therefore presents a range of initiatives to regulators and financial institutions at a global level. This paper solely focuses on the EU and shows that the de-risking dilemma demands financial institutions to take a proactive approach to contracting if unnecessary regulation is to be hindered. Furthermore, this paper shows that the concept of de-risking cannot be analyzed nor mitigated as one singular concept, but it needs to be addressed according to different levels of activity and geography.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kalle Johannes Rose

Purpose Recent research shows that financial institutions in the European Union (EU) close branches, offices and correspondent connections to jurisdictions with less transparency due to possible sanctions related to the increase in EU money laundering regulation. This tendency is called de-risking and the purpose of this paper is to analyze whether the recent regulatory approach towards money laundering in the EU limits the incentive to have operations in tax havens. Design/methodology/approach This paper follows a functional approach to law and economics. Findings The paper finds that recent EU money laundering regulation increase an incentive for financial institutions to limit any connection to jurisdictions known as tax havens, where transparency is at minimum. Thereby, it can be discussed whether the spillover effect from money laundering regulation in to the fight of tax avoidance could support further regulatory interference. Originality/value The recent trend of de-risking in light of money laundering regulation is scarcely covered by present research. Furthermore, there has been no linking of this de-risking tendency and the effects or relation to the use of tax havens/low tax jurisdictions.


2018 ◽  
Vol 25 (2) ◽  
pp. 467-498
Author(s):  
Veltrice Tan

Purpose In light of the recent 1MDB Scandal in Singapore, this research paper aims to examine the deterrent effect of Singapore’s sanctions against money laundering within financial institutions. Design/methodology/approach Case laws and legislations are examined as are relevant reports by regulators. Findings Singapore’s anti-money laundering (AML) regimes may not act as an effective deterrent against money laundering activities within financial institutions. This is due to the overreliance on the theory of deterrence-based thinking, the lack of an “enforcement pyramid” and economic factors which influence regulators to be lenient towards financial institutions. Research limitations/implications There are limited data available in relation to regulators in Singapore and the prevalence of money laundering activities within Singapore’s financial institution. Any discussions within this article is based on the impressionistic observations of this author, which may not reflect the true state of affairs in Singapore. Practical implications Those who are interested in examining the relationship between money laundering and the deterrent effect of sanctions against financial institutions will have an interest in this topic. Originality/value The value of the paper is to demonstrate that Singapore’s AML regimes may not act as an effective deterrence against money laundering activities within financial institutions.


2019 ◽  
Vol 22 (4) ◽  
pp. 666-677 ◽  
Author(s):  
Kalle Johannes Rose

Purpose Current research within law and economics focus on money laundering as an externality problem caused by financial institutions. Thus, when existing research and legislation place the responsibility on financial institutions, it creates a void where it is neglected that clients of financial institutions may, in fact, play a vital role in the problem of externality. However, based on the definition of money laundering, this paper aims to examine and analyze the need to focus on the clients as part of the externality problem with regard to money laundering. Design/methodology/approach This paper examines how a lack of regulatory focus on the clients of financial institutions lead to inefficient anti-money laundering regulation. Through a functional approach of law and economics, it analyzes the externality problem of money laundering based on both the legal definition and the economic conditions of the problem. Findings Based on the fourth anti-money laundering directive, the paper argues that present regulation has a tendency to focus on financial institutions, thereby not considering the entire scope of the externality problem in money laundering. For regulation to efficiently combat money laundering, it is necessary to place some responsibility on the clients of financial institutions and not solely on the financial institutions. Nevertheless, the inclusion of client responsibility might lead to some legal or economic complications, which need to be subject to further research. Originality/value The paper identifies the need for a fundamental change in the perception of the externality problem of money laundering, and thus, presents the required approach to reach an efficient solution.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Olmer Garcia-Bedoya ◽  
Oscar Granados ◽  
José Cardozo Burgos

Purpose The purpose of this paper is to examine the artificial intelligence (AI) methodologies to fight against money laundering crimes in Colombia. Design/methodology/approach This paper examines Colombian money laundering situations with some methodologies of network science to apply AI tools. Findings This paper identifies the suspicious operations with AI methodologies, which are not common by number, quantity or characteristics within the economic or financial system and normal practices of companies or industries. Research limitations/implications Access to financial institutions’ data was the most difficult element for research because affect the implementation of a set of different algorithms and network science methodologies. Practical implications This paper tries to reduce the social and economic implications from money laundering (ML) that result from illegal activities and different crimes against inhabitants, governments, public resources and financial systems. Social implications This paper proposes a software architecture methodology to fight against ML and financial crime networks in Colombia which are common in different countries. These methodologies complement legal structure and regulatory framework. Originality/value The contribution of this paper is how within the flow already regulated by financial institutions to manage the ML risk, AI can be used to minimize and identify this kind of risk. For this reason, the authors propose to use the graph analysis methodology for monitoring and identifying the behavior of different ML patterns with machine learning techniques and network science methodologies. These methodologies complement legal structure and regulatory framework.


2018 ◽  
Vol 10 (1) ◽  
pp. 85-110 ◽  
Author(s):  
Syed Zulfiqar Ali Shah ◽  
Maqsood Ahmad ◽  
Faisal Mahmood

Purpose This paper aims to clarify the mechanism by which heuristics influences the investment decisions of individual investors, actively trading on the Pakistan Stock Exchange (PSX), and the perceived efficiency of the market. Most studies focus on well-developed financial markets and very little is known about investors’ behaviour in less developed financial markets or emerging markets. The present study contributes to filling this gap in the literature. Design/methodology/approach Investors’ heuristic biases have been measured using a questionnaire, containing numerous items, including indicators of speculators, investment decisions and perceived market efficiency variables. The sample consists of 143 investors trading on the PSX. A convenient, purposively sampling technique was used for data collection. To examine the relationship between heuristic biases, investment decisions and perceived market efficiency, hypotheses were tested by using correlation and regression analysis. Findings The paper provides empirical insights into the relationship of heuristic biases, investment decisions and perceived market efficiency. The results suggest that heuristic biases (overconfidence, representativeness, availability and anchoring) have a markedly negative impact on investment decisions made by individual investors actively trading on the PSX and on perceived market efficiency. Research limitations/implications The primary limitation of the empirical review is the tiny size of the sample. A larger sample would have given more trustworthy results and could have empowered a more extensive scope of investigation. Practical implications The paper encourages investors to avoid relying on heuristics or their feelings when making investments. It provides awareness and understanding of heuristic biases in investment management, which could be very useful for decision makers and professionals in financial institutions, such as portfolio managers and traders in commercial banks, investment banks and mutual funds. This paper helps investors to select better investment tools and avoid repeating expensive errors, which occur due to heuristic biases. They can improve their performance by recognizing their biases and errors of judgment, to which we are all prone, resulting in a more efficient market. So, it is necessary to focus on a specific investment strategy to control “mental mistakes” by investors, due to heuristic biases. Originality/value The current study is the first of its kind, focusing on the link between heuristics, individual investment decisions and perceived market efficiency within the specific context of Pakistan.


2015 ◽  
Vol 36 (2) ◽  
pp. 216-235 ◽  
Author(s):  
Carlos Gradín ◽  
Olga Cantó ◽  
Coral del Río

Purpose – The purpose of this paper is to analyze the different dynamic characteristics of unemployment in a selected group of European Union countries during the current Great Recession, which had unequal consequences on employment depending on the country considered. Design/methodology/approach – The paper follows Shorrocks’s proposal of a duration-sensitive measure of unemployment, and uses cross-sectional data reported by Eurostat coming from European Labour Force Surveys. Findings – The results add some evidence on the relevance of incorporating spells’ duration in measuring unemployment, finding remarkable differences in unemployment patterns in time among European countries. Research limitations/implications – In this paper unemployment is analyzed for all the labor force. Future research should investigate patterns across specific groups such as young people, women, immigrants or the low skilled. Practical implications – It is generally accepted that the negative impact of unemployment on individual welfare can be very different depending on its duration. However, conventional statistics on unemployment do not adequately capture to what extent the recession is not only increasing the incidence of unemployment but also its severity in terms of duration in time of ongoing unemployment spells. The paper shows an easy and practical way to do it in order to improve the understanding of the unemployment phenomenon, using information usually reported by statistical offices. Originality/value – First, the paper provides a tool for dynamic analysis of unemployment based on reported cross-sectional data. Second, the paper demonstrates the empirical relevance of considering spells’ duration when assessing differences in unemployment across countries or in unemployment trends. This is usually neglected or only partially addressed by most conventional measures of unemployment.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ferdinando Ofria ◽  
Massimo Mucciardi

PurposeThe purpose is to analyze the spatially varying impacts of corruption and public debt as % of GDP (proxies of government failures) on non-performing loans (NPLs) in European countries; comparing two periods: one prior to the crisis of 2007 and another one after that. The authors first modeled the NPLs with an ordinary lest square (OLS) regression and found clear evidence of spatial instability in the distribution of the residuals. As a second step, the authors utilized the geographically weighted regression (GWR) to explore regional variations in the relationship between NPLs and the proxies of “Government failures”.Design/methodology/approachThe authors first modeled the NPL with an OLS regression and found clear evidence of spatial instability in the distribution of the residuals. As a second step, the author utilized the Geographically Weighted Regression (GWR) (Fotheringham et al., 2002) to explore regional variations in the relationship between NPLs and proxies of “Government failures” (corruption and public debt as % of GDP).FindingsThe results confirm that corruption and public debt as % of GDP, after the crisis of 2007, have affected significantly on NPLs of the EU countries and the following countries neighboring the EU: Switzerland, Iceland, Norway, Montenegro, and Turkey.Originality/valueIn a spatial prospective, unprecedented in the literature, this research focused on the impact of corruption and public debt as % of GDP on NPLs in European countries. The positive correlation, as expected, between public debt and NPLs highlights that fiscal problems in Eurozone countries have led to an important rise of problem loans. The impact of institutional corruption on NPLs reports that the higher the corruption, the higher is the level of NPLs.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marwa Fersi ◽  
Mouna Bougelbène

PurposeThe purpose of this paper was to investigate the impact of credit risk-taking on financial and social efficiency and examine the relationship between credit risk, capital structure and efficiency in the context of Islamic microfinance institutions (MFIs) compared to their conventional counterparts.Design/methodology/approachThe stochastic frontier approach was used to estimate the financial and social efficiency scores, in a first step. In a second step, the impact of risk-taking on efficiency was evaluated. The authors also took into account the moderating role of capital structure in this effect using the fixed and random effects generalized least squares (GLS) with a first-order autoregressive disturbance. The used dataset covers 326 conventional MFIs and 57 Islamic MFIs in six different regions of the world over the period of 2005–2015.FindingsThe overall average efficiency scores are less than 50%, where CMFIs could have produced their outputs using 48% of their actual inputs. IMFIs record the lowest financial (cost) efficiency that is equal to 28% on average. The estimation results also reveal a negative impact of nonperforming loan on financial and social efficiency. Finally, the moderating effect of leverage funding on the relationship between credit risk-taking and financial efficiency was confirmed in CMFIs. However, leverage seems to moderate the effect of risk-taking behavior on social efficiency for IMFIs.Originality/valueThis paper makes an initial attempt to evaluate the effect of risk-taking decision and its implication on efficiency and MFIs' sustainability. Besides, it takes into consideration the role played by the mode of governance through the ownership structure. In addition, this research study sheds light on the importance of the financial support for the development and sustainability of these institutions, which in return, contributes to a sustainable economic development.


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