Evaluating and Prioritizing of the Risk of Money Laundering Criteria (Case Study: Refah Bank)
Subject Areas : Journal of Investment KnowledgeSoodabeh Jafarzadeh 1 , Ahmadreza Ghasemi 2
1 - MA In Industrial Management Financial Trend, university of Ershad Damavand, Tehran, Iran
2 - Assistant Professor, Industrial and Technology Management Department, Faculty of Management and Accounting, University of Tehran college of Farabi, Qom, Iran
Keywords: money loundering, Refah Bank, money laundering risk criteria, BWM,
Abstract :
Money laundering is any action for hiding or changing the form of incomes with criminal identity in a way that they are pretended to be legal. Financial, accounting and legal tools were used. In this process as means of changing nature, identity, form and illegal assessing. The main objective of this study is evaluating and prioritizing risk indicators of money laundering of customers of Refah Bank. Data were collected from managers and experts who were familiar with money laundering issue and its criteria. In order to data analysis BWM technique was used. The results of prioritizing of 12 research's criteria indicated that "The amount of the first deposit at the opening of an account" and "The use of non-public services" from "Bank account" cluster was located in first and second priority. According to these results and given the economic and social disadvantages of money laundering, the sensitivity to the matching and proportionality of the first amount of deposit at the opening of the account with the type of the customer business and his/her economic activity, as well as the willingness of the customer to use non-public services such as Telephone, swift and the Internet can be considered as a warning to the phenomenon of money laundering. At the end, some practical suggestions and strategies for managers and some suggestions for future research have been developed.
* احمدینژاد منفرد، مریم .(1388). پولشویی و سیستم مالی شامل آثار اقتصادی، اجتماعی، فرهنگی. مجله توسعه صادرات، سال سیزدهم، شماره 78 ، صص 41-38.
* ارجمند نژاد، عبد المهدی و کیان، فرید.( 1393 ) . رویکرد و نظارت مبتنی بر ریسک برای پیشگیری ازپولشویی و تأمین مالی تروریسم.بانک مرکزی جمهوری اسلامی ایران.
* تذهیبی اصفهانی، فریده. پولشویی. چاپ اول. تهران: انتشارات زعیم. 1381
* جزایری، مینا .( 1383 ). نگاهی به جرم پولشویی و اسناد بینالمللی مهم مرتبط با آن. مجله روند، شماره 42 و 43 ، صص 169-215.
* رهبر، فرهاد. پولشویی و روشهای مقابله با آن. چاپ اول. تهران: موسسه انتشارات. 1388.
* قضاوتی، حسین و کیانی زاده، حسین ( 1391 ). بررسی پیامدهای پولشویی و آثار آن بر امنیت اقتصادی ایران. مجله اقتصادی، شماره 55
* صادقی پایین کو لائی، علیاکبر، ( 1389 ). عملیات پولشویی در بانکها مؤسسات مالی و اعتباری غیر بانکی،تعاونی اعتبار ثامنالائمه، مدیریت آموزش.
* صبوری دیلمی، محمدحسن و شفیعی سعیده، پیامدهای پولشویی و راهکارهای پیکار با آن در ایران. پژوهشنامه سیاسی-اقتصادی. شماره ۲۶۱ و ۲۶۲، خرداد و تیر ۱۳۸۸.
* Bagella, M., Busato, F., & Argentiero, A. (2009). Money laundering in a micro founded dynamic model: simulations for the US and the EU-15 economies, Review of Law & Economics, 5(2), 879-902.
* Bartlett, B. L. (2002). The negative effects of money laundering on economic development, Asian Development Bank Regional Technical Assistance Project No, 5967.
* Dion, M. (2015). Is money laundering an ethical issue?, Journal of Money Laundering Control, 18(4), 425-437.
* Frunza, M. C. (2015). Introduction to the Theories and Varieties of Modern Crime in Financial Markets. Academic Press.
* Ghasemi, AhmadReza. Pourmahdian, Hosein (2017). A Paradigmatic Model of customer money laundering risk in Iranian banks, International Journal of Commerce and Management Research, 3 (4), 34-42.
* Ghasemi, AhmadReza. (2011). Defining Organizational Size of Project Based Organization A Clustering Approaches (The Case of Department of Transportation and Traffic of Tehran Municipality). American Journal of Scientific Research, 3(28), 33-44.
* Lahey, H. K. (2005). Money Laundering:.Journal of American Criminal Law Review, 42 (2): 699–720.
* Mugarura, N. (2016). Uncoupling the relationship between corruption and money laundering crimes, Journal of Financial Regulation and Compliance, 24(1): 74-89.
* empirical findings. Global Business and Economics Review, 10(3), Naheem, M. A. (2017). Money laundering and illicit flows from China–the real estate problem. Journal of Money Laundering Control, 20(1), 15-26.
* Raza, M. S., Fayaz, M., Ijaz, M. H., Hussain, D., & Rubab, S. (2017). Money Laundering Risk Evaluation of Financial Institution with AHP Model. Journal of Financial Risk Management, 6(02), 119.
* Rezaei, J. (2015). Best-Worst Multi Criteria Decision-Making Method. Journal of Omega, 53, pp: 49–57.
* Rusanov, G., & Pudovochkin, Y. (2017). Money laundering and predicate offenses: models of criminological and legal relationships. Journal of Money Laundering Control, Vol. 21 Issue: 1, pp.22-32
* Schneider, F. (2008). Money laundering and financial means of organized crime: some preliminary 309-330.
* Soudijn, M. R. J. (2014). Using strangers for money: a discussion on money-launderers in organized crime. Trends in organized crime, 17(3), 199-217.
* Teichmann, F. M. J. (2017). Twelve methods of money laundering. Journal of Money Laundering Control, 20(2), 130-137
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