Detecting financial predators ahead of time: a two-group longitudinal study

Olivier Mesly

Applied Financial Economics, 2013, vol. 23, issue 16, 1325-1336

Abstract: This multidisciplinary article uses the works of Mesly from 1999 to 2013 to develop a mathematical model of financial predation to determine whether financial predators can be detected before they commit substantial fraud. Previous works by the author have shown that financial predators follow certain logic, which can be expressed by mathematical formulae. This article hypothesizes that the so-called predatory curve which has been identified in previous studies by the author is the result of the mobilization of four elements: essential resources ( R ), nonessential resources ( R n ), work or effort ( T ) and knowledge ( T h ). Failing to be able to detect a financial predator directly, one can measure one or all of these four elements that generate the predatory curve to see if abnormal behaviours are displayed, which would then be an indication of possible otherwise undetected financial predation. The implication for the average or wealthy investor is obvious: detecting the predator before he can act may mean saving thousands if not millions of dollars.

Date: 2013
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DOI: 10.1080/09603107.2013.804161

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