This article needs attention from an expert in Statistics. The specific problem is: the article lacks a definition, illustrative examples, but is of importance (Poisson process, Lévy process)..(December 2013)
A jump process is a type of stochastic process that has discrete movements, called jumps, with random arrival times, rather than continuous movement, typically modelled as a simple or compound Poisson process.
In finance, various stochastic models are used to model the price movements of financial instruments; for example the Black–Scholes model for pricing options assumes that the underlying instrument follows a traditional diffusion process, with continuous, random movements at all scales, no matter how small. John Carrington Cox and Stephen Ross:145–166 proposed that prices actually follow a 'jump process'.
- Levy process
- Poisson process
- Counting process
- Interacting particle system
- Kolmogorov equations
- Kolmogorov equations (Markov jump process)
- Tankov, P. (2003). Financial modelling with jump processes (Vol. 2). CRC press.
- Cox, J. C.; Ross, S. A. (1976). "The valuation of options for alternative stochastic processes". Journal of Financial Economics. 3: 145. doi:10.1016/0304-405X(76)90023-4.
- Merton, R. C. (1976). "Option pricing when underlying stock returns are discontinuous". Journal of Financial Economics. 3: 125–144. doi:10.1016/0304-405X(76)90022-2. hdl:1721.1/1899.
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