The Significance of the KYC Procedure from the Perspective of Banking Institutions in Poland and the Perception of this Policy from the Clients' Perspective – Based on an Empirical Study

Authors

DOI:

https://doi.org/10.18778/2391-6478.3.43.07

Keywords:

bank, KYC, AML, banking sector

Abstract

The purpose of the article. Globalization in the world of finance leads to international flow of financial resources, but it is also a source of economic crimes and abuses. This has become the reason and necessity for establishing regulations on money laundering, terrorism financing, and tax evasion. To implement these procedures, financial institutions have adopted the Know Your Customer (KYC) policy. This policy is based on understanding the client, their structure, business principles, sources of funds, and assets. Banks are required to understand their clients in a way that ensures they are not involved in transactions considered prohibited and inconsistent with current policies.

On one hand, banks are obligated to report this information; failure to comply may result in financial penalties or exclusion from international cooperation. On the other hand, banks must obtain the required data from the client. Clients are not always aware of the regulations in force. Additionally, the necessity of reporting required data is often perceived as burdensome from their perspective and affects their use of banking products. Therefore, it is crucial to consider how clients should be informed about reporting rules and how this process can be made less burdensome from the consumer's perspective while remaining effective in obtaining comprehensive information for the bank.

Methodology. To find answers to the research questions, a quantitative study using a questionnaire survey was employed, which in the second stage was expanded to include a qualitative study – an Individual In-depth Interview (IDI).

The primary aim of the conducted research was to investigate whether KYC procedures are understandable to entrepreneurs as bank clients. The study aimed to determine whether the regulations within the KYC policy are perceived as a barrier to cooperation with banks and the use of banking services by business owners or managers. The focus was on banks operating in Poland. To verify the primary aim, specific objectives were also defined: elements of the KYC policy that particularly hinder the conduct of transactions; elements of the guidelines within the analyzed policy that serve as a barrier to using banking services; factors that hinder establishing a relationship with the bank; clients' expectations towards banking sector entities regarding the application of the KYC policy.

At the stage of formulating recommendations and suggestions, a generalizing-synthesizing method (deduction, reduction, induction) was applied. The inductive method helped analyze the significance of the KYC procedure from the perspective of banking institutions, starting from specific to general phenomena. On the other hand, using the deductive method, an attempt was made to analyze the problem starting from the effects of implementing the KYC policy on conducting settlements and using banking services by business entities that are bank clients. Based on the obtained research results and a critical analysis of the literature, it was possible to apply reduction, thereby verifying the previously formulated hypotheses.

Results of the research. The study confirmed that bank clients do not always understand the verification process related to anti-money laundering and counter-terrorism financing measures. It also highlighted that the requirement for detailed reporting complicates financial settlements for organizations and their use of banking products. By verifying correlations between variables, the study demonstrated a significant relationship between organizational complexity and more frequent verification by banks. It was also proven that entities operating in the market for over ten years more frequently encounter difficulties in reporting information to banking institutions compared to those operating for shorter periods.

Downloads

Download data is not yet available.

References

Anti-money laundering (AML)/ know your customer (KYC)/ combating financing of terrorism (cft) policy, https://www.cnhindustrialcapital.com/en_in/Documents/KYC-AML%20Policy_v.5.0.pdf [Accessed 30.03.2024].
Google Scholar

Banks, J. (2017). Online gambling and crime: Causes, controls and controversies. Routledge. https://doi.org/10.1057/978-1-137-57994-2
Google Scholar

Borrajo, D., Veloso, M. & Shah, S. (2018). Simulating and classifying behavior in adversarial environments based on action-state traces: An application to money laundering. https://doi.org/10.48550/arXiv.2011.01826
Google Scholar

Butaru, F., Chen, Q., Clark, B., Das, S., Lo, A.W., Siddique, A. (2016). Risk and risk management in the credit card industry, J. Bank. Financ., 72.
Google Scholar

Camino, R.D., State, R., Montero, L., & Valtchev, P. (2017). Finding suspicious activities in financial transactions and distributed ledgers. Paper presented at the 2017 IEEE International Conference on Data Mining Workshops (ICDMW). https://doi.org/10.1109/ICDMW.2017.109
Google Scholar

Chen, T.H. (2020). Do You Know Your Customer? Bank Risk Assessment Based on Machine Learning. Applied Soft Computing, 86, Article ID: 105779. https://doi.org/10.1016/j.asoc.2019.105779 [Accessed 14.05.2024].
Google Scholar

Cornett, M., Erhemjamts, O., Tehranian, H. (2014). Corporate Social Responsibility and the Impact on Financial Performance: Investigation of U.S. Commercial Banks, Boston College. https://www.researchgate.net/publication/272540009_Corporate_Social_Responsibility_and_Its_Impact_on_Financial_Performance_Investigation_of_the_US_Commercial_Banks [Accessed 2.06.2024].
Google Scholar

Deng, X., Joseph, V.R., Sudjianto, A., & Wu, C.J. (2009). Active learning through sequential design, with applications to detection of money laundering. Journal of the American Statistical Association, 104(487). https://doi.org/10.1198/jasa.2009.ap07625
Google Scholar

Directive 2011/16/EU of the Council of 15 February 2011 on administrative cooperation in the field of taxation and repealing Directive 77/799/EEC (Dyrektywa Rady 2011/16/UE z dnia 15 lutego 2011 r. w sprawie współpracy administracyjnej w dziedzinie opodatkowania i uchylająca dyrektywę 77/799/EWG).
Google Scholar

Doing business in high risk countries (2015), Strategy Corporate Governance. https://baselgovernance.org/sites/default/files/2019-01/Doingbusinessinhighriskcountries.pdf [Accessed 26.06.2024].
Google Scholar

European Central Bank, Harmonistaion KYC procedures, Summary of DIMCG separate session, 19.01.2021 https://www.ecb.europa.eu/paym/groups/pdf/dimcg/ecb.dimcg210127_item3.1b.en.pdf [Accessed: 15.05.2024].
Google Scholar

European Union (2016) Regulation (EU) 2016/679 of the European parliament and of the council of 27 April 2016. Off J Eur Union L119.
Google Scholar

Gee, S. (2014). Fraud and fraud detection: A data analytics approach. John Wiley & Sons., doi:10.1002/9781118936764.
Google Scholar

Guevara, J., Garcia-Bedoya, O., & Granados, O. (2020). Machine Learning Methodologies Against Money Informatics. doi:10.1007/978-3-030-61702-8_6.
Google Scholar

Haffke, L., Fromberger, M., Zimmermann, P. (2019). Virtual currencies and anti-money laundering – the shortcomings of the 5th AML directive (EU) and how to address them. Journal of Banking Regulation, 21(2).
Google Scholar

Hassan, K. (1998). The impact of globalisation on the financial markets of the developing countries, Journal of Economic Cooperation Among Islamic Countries 19, https://jecd.sesric.org/pdf.php?file=ART97100104-2.pdf [Accessed 20.05.2024].
Google Scholar

International Financial Institutions Anti-Corruption Task Force (2006). African Development Bank Group, Asian Development Bank European Bank for Reconstruction and Development, European Investment Bank Group International Monetary Fund, Inter-American Development Bank Group, World Bank Group, September 2006, https://www.adb.org/sites/default/files/publication/29036/ifi-taskforce-anticorruption.pdf [Accessed 11.12.2018].
Google Scholar

Iwanowicz-Drozdowska, M., Jaworski, W.L. (2023), Bankowość w gospodarce cyfrowej. Warszawa: Poltext.
Google Scholar

Lohmann, N. (2013). Compliance by design for artifact-centric business processes. Information Systems, 38(4). doi: 10.1007/978-3-642-23059-2_11
Google Scholar

Official Journal of the European Union L 156, June 19, 2018, pp. 26–42, as amended. Regulation of the European Parliament and of the Council (EU) 2018/842 of May 30, 2018 on binding annual greenhouse gas emission reductions by Member States from 2021 to 2030 contributing to climate action to meet commitments under the Paris Agreement and amending Regulation (EU) No 525/2013 (Dz. Urz. UE L 156 z 19.6.2018, str. 26–42 z późn. zm. Rozporządzenie Parlamentu Europejskiego i Rady (UE) 2018/842 z dnia 30 maja 2018 r. w sprawie wiążących rocznych redukcji emisji gazów cieplarnianych przez państwa członkowskie od 2021 r. do 2030 r. przyczyniających się do działań na rzecz klimatu w celu wywiązania się z zobowiązań wynikających z Porozumienia paryskiego oraz zmieniającego rozporządzenie (UE) nr 525/2013).
Google Scholar

Ostern, N.K., Riedel, J., (2020). Know-Your-Customer (KYC) Requirements for Initial Coin Offerings Toward Designing a Compliant-by-Design KYC-System Based on Blockchain Technology. Bus Inf Syst Eng, 63. https://doi.org/10.1007/s12599-020-00677-6 [Accessed 2.06.2024].
Google Scholar

Owen, D., Swift, T., Hunt, K. (2001). Questioning the Role of Stakeholder Engagement in Social and Ethical Accounting, Auditing and Reporting. Accounting Forum, 25(3).
Google Scholar

Patel, N. (2021). International Trade Finance and the Cost Channel of Monetary Policy in Open Economies. International Journal of Central Banking, 10.2021.
Google Scholar

Peng, Y., Wang, G., Kou, G., Shi, Y. (2011). An empirical study of classification algorithm evaluation for financial risk prediction. Applied Soft Computing, 11(2).
Google Scholar

Qureshi, W.A. (2017). An Overview of Money Laundering in Pakistan and Worldwide: Causes, Methods, and Socioeconomic Effects. U. Bologna L. Rev., 2(2).
Google Scholar

Regulation 2018/1673 of October 23, 2018 (Dyrektywa Parlamentu Europejskiego i Rady (UE) 2018/1673 z dnia 23 października 2018 r. w sprawie zwalczania prania pieniędzy za pomocą środków prawnokarnych, PE/30/2018/REV/1, Dz.U. L 284 z 12.11.2018).
Google Scholar

Rojszczak, M. (2018). Międzynarodowa współpraca organów podatkowych a dopuszczalny zakres ingerencji w prawa podstawowe: uwagi krytyczne po dwóch latach obowiązywania umowy FATCA. Przegląd Prawa Handlowego, 8(312).
Google Scholar

Sasaki, H., Yamaguchi, S. and Hisada, T. (2006). The globalisation of financial markets and monetary policy. https://www.bis.org/publ/confer08c.pdf [Accessed 14.05.2024].
Google Scholar

Schmidpeter, R. (2013). Corporate Social Responsibility: A New Management Paradigm? In: J. Okpara, S. Idowu, ed., Corporate Social Responsibility. Berlin: Springer.
Google Scholar

Sinha, P., Kaul, A. (2018). Decentralized KYC systems. Int Res J Eng Technol, 5.
Google Scholar

Ting-Hsuan, Chen (2019). Do you know your customer? Bank risk assessment based on machine learning. Applied Soft Computing, 86. https://doi.org/10.1016/j.asoc.2019.105779.
Google Scholar

Usman, A., Naveed, N. and Munawar, S. (2023). Intelligent Anti-Money Laundering Fraud Control Using Graph-Based Machine Learning Model for the Financial Domain. Journal of Cases on Information Technology, 25(1). doi: 10.4018/JCIT.316665.
Google Scholar

Downloads

Published

2024-09-27

How to Cite

Rybacka, J. (2024). The Significance of the KYC Procedure from the Perspective of Banking Institutions in Poland and the Perception of this Policy from the Clients’ Perspective – Based on an Empirical Study. Journal of Finance and Financial Law, 3(43), 117–137. https://doi.org/10.18778/2391-6478.3.43.07

Issue

Section

Article