Parodi, Bernhard R. (2014): A Ponzi scheme exposed to volatile markets.
Preview |
PDF
MPRA_paper_60584.pdf Download (414kB) | Preview |
Abstract
The PGBM model for a couple of counteracting, exponentially growing capital flows is presented: the available capital stock $X(t)$ evolves according to a variant of inhomogeneous geometric Brownian motion (GBM) with time-dependent drift, in particular, to the stochastic differential equation $dX(t)=[pX(t)+\rho_1\exp(q_1 t)+\rho_2\exp(q_2 t)]dt+\sigma X(t) dW(t)$, where $W(t)$ is a Wiener process. As a paragon, we study a continuous-time model for a nine-parameter Ponzi scheme with an exponentially growing number of investors. Investors either maintain their investment or withdraw it after some fixed investment span and quit the system. The first two moments of the process and hence a closed-form solution for the mean path are given. The capital stock exhibits a dynamic lognormal probability distribution as long as the system remains solvent. The assumed stochastic performance allows for earlier or later collaps of the investment system as compared to the deterministic analogy ($\sigma = 0$). Allowing also for negative capital values the system's default probability can be calculated at any time by numerically solving the corresponding Kolmogorov forward equation. We use the finite difference method and obtain results in accordance with those of simple Monte-Carlo simulations. Finally, a minor modification of the payout function provides a toy model for a social security system exhibiting critical behaviour. Depending on whether some parameter value violates a weak no-Ponzi game condition or not, the system represents either a non-lasting Ponzi game or a lasting no-Ponzi game in the weak sense.
Item Type: | MPRA Paper |
---|---|
Original Title: | A Ponzi scheme exposed to volatile markets |
Language: | English |
Keywords: | Ponzi scheme; geometric brownian motion; probability density; Kolmogorov forward equation; default probability; critical behaviour |
Subjects: | A - General Economics and Teaching > A2 - Economic Education and Teaching of Economics > A20 - General C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C50 - General G - Financial Economics > G0 - General > G00 - General G - Financial Economics > G2 - Financial Institutions and Services > G20 - General |
Item ID: | 60584 |
Depositing User: | Bernhard R. Parodi |
Date Deposited: | 13 Dec 2014 08:18 |
Last Modified: | 05 Oct 2019 21:45 |
References: | Artzrouni, M. (2009), The mathematics of Ponzi schemes. Mathematical Social Sciences 58(2), pp. 190-201; online http://mpra.ub.uni-muenchen.de/14420/ . Blanchard, O. (2011), Macroeconomics, 5th edition (updated), chapter 26. Pearson, Boston. Cunha, M., Valente, H., Vasconcelos, P.B. (2013), Ponzi schemes: computer simulation. Observat\'orio de economia e gest\~ao de fraude (OBEGEF), working paper no. 23; online via www.gestaodefraude.eu. Dickens, Charles (1857), Little Dorrit. Online, e.g., www.gutenberg.org/ebooks/963. Gardiner, C.W. (1985), Handbook of stochastic methods: for physics, chemistry and the natural sciences. Second ed., Springer-Verlag, Berlin. Chapters 3.5 and 5.2. Geering, H.P., Dondi, G., Herzog, F., Keel, S. (2011), Stochastic systems. Course script, chapter 3. ETH Z\"urich \& IMRT Measurment and Control Laboratory. Huang, H., Milevsky, M., Wang, J. (2003), Ruined moments in your life: How good are the approximations? Working paper, chapter 7: appendix. York University; online via ssrn.com. Mayorga-Zambrano, J. (2011), Un modelo matem\'atico para esquemas piramidales tipo Ponzi. Anal\'itika: Revista de an\'alisis estad\'istico, Vol. 1(1), 119-129. Parodi, B.R. (2013), Abc-Modell eines Ponzi-Systems. MPRA-paper no. 45083, 12 pages; online mpra.ub.uni-muenchen.de/45083/. Quituisaca-Samaniego, L., Mayorga-Zambrano, J., Medina, P. (2013), Simulaci\'on estoc\'astica de esquemas piramidales tipo Ponzi. Anal\'itika: Revista de an\'alisis estad\'istico, Vol. 6(2), 51-66. Rujivan, S. (2011), Affine transformations of It\^o diffusions and their transition densities. Walailak J. Sci. \& Tech., Vol. 8(1), pp. 71-79. Schwab, C., Hilber, N. (2007), Computational methods for quantitative finance. Lecture notes and exercises, ETH Z\"urich, chapter 3.5 and exercise series 4. Tanner, M. (2011), Social Security, Ponzi Schemes, and the Need for Reform. Cato Institute Policy Analysis no. 689, 16 pages; online via cato.org/publications/. Zhao, B. (2009), Inhomogenous geometric Brownian motions. Cass Business School research paper, 38 pages, City University London; online via cassknowledge.com/research/author/bo-zhao. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/60584 |
Available Versions of this Item
- A Ponzi scheme exposed to volatile markets. (deposited 13 Dec 2014 08:18) [Currently Displayed]