Know Your Clients’ Behaviours: A Cluster Analysis of Financial Transactions

John Thompson, Longlong Feng, R. Mark Reesor and Chuck Grace
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Longlong Feng: Department of Mathematics, Wilfrid Laurier University, Waterloo, ON N2L 3C5, Canada
R. Mark Reesor: Department of Mathematics, Wilfrid Laurier University, Waterloo, ON N2L 3C5, Canada
Chuck Grace: Department of Finance, Ivey Business School, London, ON N6G 0N1, Canada

JRFM, 2021, vol. 14, issue 2, 1-29

Abstract: In Canada, financial advisors and dealers are required by provincial securities commissions and self-regulatory organizations—charged with direct regulation over investment dealers and mutual fund dealers—to respectively collect and maintain know your client (KYC) information, such as their age or risk tolerance, for investor accounts. With this information, investors, under their advisor’s guidance, make decisions on their investments that are presumed to be beneficial to their investment goals. Our unique dataset is provided by a financial investment dealer with over 50,000 accounts for over 23,000 clients covering the period from January 1st to August 12th 2019. We use a modified behavioral finance recency, frequency, monetary model for engineering features that quantify investor behaviours, and unsupervised machine learning clustering algorithms to find groups of investors that behave similarly. We show that the KYC information—such as gender, residence region, and marital status—does not explain client behaviours, whereas eight variables for trade and transaction frequency and volume are most informative. Hence, our results should encourage financial regulators and advisors to use more advanced metrics to better understand and predict investor behaviours.

Keywords: machine learning; clustering; behavioral finance; financial advising (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Related works:
Working Paper: Know Your Clients' behaviours: a cluster analysis of financial transactions (2020)
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