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interest to determine what strategies or conditions allow Ponzi scheme promoters to profit or avoid collapse over long periods of time, and under what conditions they easily collapse. Perhaps the most intuitive way to represent a simple Ponzi scheme is using a discrete model of difference equations.
A first order linear differential equation is used to describe the dynamics of an investment fund that promises more than it can deliver, also known as a Ponzi scheme.
2 Απρ 2009 · TLDR. A computational approach to the mathematical model developed by Artzrouni (2009) to study Ponzi schemes is presented, which describes the dynamics of an investment fund that promises higher incomes than those it can effectively offer and simulates the impact on the success or the collapse of the investment fund. Expand.
1 Σεπ 2009 · A first order linear differential equation is used to describe the dynamics of an investment fund that promises more than it can deliver, also known as a Ponzi scheme.
main features of a Ponzi scheme. The model is described in section 2 with detailed results on the behavior of the fund a. a function of seven parameters. In section 3 we describe Charles Ponzi's eponymous 1920 scheme and crudely ̄t the model to the data available (see Zucko® (2005) and Dunn (2004) for biograp.
24 Ιουλ 2011 · Moreover, this innovative work successfully detects key fraud features within the Ponzi scheme dataset, reducing the number of features from 70 to only 10 while maintaining a high level of...
This document provides a mathematical model of Ponzi schemes using a first-order linear differential equation. The model accounts for parameters like the promised interest rate, actual interest rate, cash inflow rate, and withdrawal rate.
