A binomial option pricing model under stochastic volatility and jump

Chuang Chang Chang, Hsin Chang Fu

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Numerous papers have investigated the pricing of options on traded assets when either the underlying asset follows a jump diffusion process or the volatility of the underlying asset is assumed to be stochastic. This paper extends the literature by combining the transformation technique of Hilliard and Schwartz (1996) and the discrete-time jump diffusion model of Amin (1993) to develop a simple tree. The advantage of this approach is that it can easily value American options under a stochastic volatility and jump environment. We investigate how stochastic volatility and jump parameters affect the option values. From the simulation results, we find that the jump parameters significantly affect the American and European option values, especially for the near at-the-money options. We also demonstrate that our model can capture the volatility smile observed in the market.

Original languageEnglish
Pages (from-to)192-203
Number of pages12
JournalCanadian Journal of Administrative Sciences
Issue number3
StatePublished - Sep 2001


Dive into the research topics of 'A binomial option pricing model under stochastic volatility and jump'. Together they form a unique fingerprint.

Cite this