TY  - JOUR
AB  - Introduces the use of account activity relative to client peer groups as a means of identifying unusual behaviour, as part of money laundering detection; assumptions can be made about what constitutes normal transactional behaviour for an individual, so that deviations from this can generate risk factors. Analyses an account history as a time series of asset movements that can be characterised by a function whose Fourier transform can be computed, yielding a function of a frequency; the so‐called Power Spectrum can be derived, and this specifies the “power” or magnitude of asset movement in the account as a function of frequency. Points out that the method also allows detailed inter‐institutional comparisons of account activity.
VL  - 7
IS  - 4
SN  - 1368-5201
DO  - 10.1108/13685200410810001
UR  - https://doi.org/10.1108/13685200410810001
AU  - Young Carl
PY  - 2004
Y1  - 2004/01/01
TI  - Periodic account activity and automated money laundering detection
T2  - Journal of Money Laundering Control
PB  - Emerald Group Publishing Limited
SP  - 295
EP  - 297
Y2  - 2024/04/16
ER  -