scholarly journals Pricing vulnerable options under a jump-diffusion model with fast mean-reverting stochastic volatility

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Wan-Hua He ◽  
Chufang Wu ◽  
Jia-Wen Gu ◽  
Wai-Ki Ching ◽  
Chi-Wing Wong

2013 ◽  
Vol 15 (3) ◽  
pp. 204
Author(s):  
Chixiang CHEN ◽  
Biyi SHEN ◽  
Guangyu YANG


2019 ◽  
Vol 15 (1) ◽  
pp. 293-318 ◽  
Author(s):  
Qing-Qing Yang ◽  
◽  
Wai-Ki Ching ◽  
Wanhua He ◽  
Tak-Kuen Siu ◽  
...  






2021 ◽  
Vol 11 (02) ◽  
pp. 313-330
Author(s):  
Ndeye Fatou Sene ◽  
Mamadou Abdoulaye Konte ◽  
Jane Aduda


2020 ◽  
Vol 38 (2) ◽  
Author(s):  
Somayeh Fallah ◽  
Farshid Mehrdoust

It is widely accepted that certain financial data exhibit long range dependence. We consider a fractional stochastic volatility jump diffusion model in which the stock price follows a double exponential jump diffusion process with volatility described by a long memory stochastic process and intensity rate expressed by an ordinary Cox, Ingersoll, and Ross (CIR) process. By calibrating the model with real data, we examine the performance of the model and also, we illustrate the role of long range dependence property by comparing our presented model with the Heston model.



2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Xinfeng Ruan ◽  
Wenli Zhu ◽  
Shuang Li ◽  
Jiexiang Huang

We study the equity premium and option pricing under jump-diffusion model with stochastic volatility based on the model in Zhang et al. 2012. We obtain the pricing kernel which acts like the physical and risk-neutral densities and the moments in the economy. Moreover, the exact expression of option valuation is derived by the Fourier transformation method. We also discuss the relationship of central moments between the physical measure and the risk-neutral measure. Our numerical results show that our model is more realistic than the previous model.



Sign in / Sign up

Export Citation Format

Share Document