Black-Scholes-Like Derivative Pricing With Tsallis Non-extensive Statistics
| dc.creator | Michael, Fredrick | |
| dc.creator | Johnson, M. D. | |
| dc.date | 2002-04-11 | |
| dc.date | 2002-04-30 | |
| dc.date.accessioned | 2026-07-07T12:06:40Z | |
| dc.date.available | 2026-07-07T12:06:40Z | |
| dc.description | We recently showed that the S&P500 stock market index is well described by Tsallis non-extensive statistics and nonlinear Fokker-Planck time evolution. We argued that these results should be applicable to a broad range of markets and exchanges where anomalous diffusion and `heavy' tails of the distribution are present. In the present work we examine how the Black-Scholes derivative pricing formula is modified when the underlying security obeys non-extensive statistics and Fokker-Planck time evolution. We answer this by recourse to the underlying microscopic Ito-Langevin stochastic differential equation of the non-extensive process. | |
| dc.description | 9 pages. Revised version, added derivation, deleted time homogeneous process. Submitted to Physica A | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0204261 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0204261 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/208722 | |
| dc.subject | Statistical Mechanics | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.subject | Pricing of Securities | |
| dc.title | Black-Scholes-Like Derivative Pricing With Tsallis Non-extensive Statistics | |
| dc.type | text |