Gibbs sampler with jump diffusion model: application in European call option and annuity
Kein Joe Lau, Yong Kheng Goh, An-Chow Lai

TL;DR
This paper introduces a Gibbs sampler-based method for estimating market parameters in jump diffusion models and demonstrates its application in pricing European call options and annuities, highlighting jump effects.
Contribution
It presents a novel Gibbs sampling approach for estimating jump diffusion market parameters and applies it to option and annuity pricing under jump risk.
Findings
Effective estimation of jump diffusion parameters
Impact of jump effects on option prices
Comparison with conventional models
Abstract
In this paper, we are presenting a method for estimation of market parameters modeled by jump diffusion process. The method proposed is based on Gibbs sampler, while the market parameters are the drift, the volatility, the jump intensity and its rate of occurrence. Demonstration on how to use these parameters to estimate the fair price of European call option and annuity will be shown, for the situation where the market is modeled by jump diffusion process with different intensity and occurrence. The results is compared to conventional options to observe the impact of jump effects.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Complex Systems and Time Series Analysis
