Abstract
In this article, we consider a Markov process [Formula presented], which solves a stochastic differential equation driven by a Brownian motion and an independent pure jump component exhibiting both state-dependent jump intensity and infinite jump activity. A second order expansion is derived for the tail probability [Formula presented] in small time [Formula presented], where [Formula presented] is the initial value of the process and [Formula presented]. As an application of this expansion and a suitable change of the underlying probability measure, a second order expansion, near expiration, for out-of-the-money European call option prices is obtained when the underlying stock price is modeled as the exponential of the jump–diffusion process [Formula presented] under the risk-neutral probability measure.
Original language | English |
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Pages (from-to) | 4207-4245 |
Number of pages | 39 |
Journal | Stochastic Processes and their Applications |
Volume | 128 |
Issue number | 12 |
DOIs | |
Publication status | Published - Dec 2018 |
Externally published | Yes |
Keywords
- Local jump–diffusion Markov models
- Option pricing
- Short-time asymptotics
- Stochastic differential equations with jumps