scholarly journals Option pricing using the fast Fourier transform under the double exponential jump model with stochastic volatility and stochastic intensity

2014 ◽  
Vol 263 ◽  
pp. 152-159 ◽  
Author(s):  
Jiexiang Huang ◽  
Wenli Zhu ◽  
Xinfeng Ruan
2014 ◽  
Vol 631-632 ◽  
pp. 1325-1328 ◽  
Author(s):  
Jin Yan Sang ◽  
Na Zhang ◽  
Ming Jian

This paper explores the valuation of European options when the underlying asset follows the double exponential jump process with stochastic rate, stochastic volatility and stochastic intensity. This model better describes market characteristics, such as the volatility smile, and jump behavior. By using FFT (Fast Fourier Transform) approach, a closed form representation of the characteristic function of the process is derived for the valuation of European options. Numerical results show that the FFT method is effective and competent.


2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Su-mei Zhang ◽  
Li-he Wang

We consider European options pricing with double jumps and stochastic volatility. We derived closed-form solutions for European call options in a double exponential jump-diffusion model with stochastic volatility (SVDEJD). We developed fast and accurate numerical solutions by using fast Fourier transform (FFT) technique. We compared the density of our model with those of other models, including the Black-Scholes model and the double exponential jump-diffusion model. At last, we analyzed several effects on option prices under the proposed model. Simulations show that the SVDEJD model is suitable for modelling the long-time real-market changes and stock returns are negatively correlated with volatility. The model and the proposed option pricing method are useful for empirical analysis of asset returns and managing the corporate credit risks.


2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Ying Chang ◽  
Yiming Wang

We present option pricing under the double stochastic volatility model with stochastic interest rates and double exponential jumps with stochastic intensity in this article. We make two contributions based on the existing literature. First, we add double stochastic volatility to the option pricing model combining stochastic interest rates and jumps with stochastic intensity, and we are the first to fill this gap. Second, the stochastic interest rate process is presented in the Hull–White model. Some authors have concentrated on hybrid models based on various asset classes in recent years. Therefore, we build a multifactor model with the term structure of stochastic interest rates. We also approximated the pricing formula for European call options by applying the COS method and fast Fourier transform (FFT). Numerical results display that FFT and the COS method are much faster than the numerical integration approach used for obtaining the semi-closed form prices. The COS method shows higher accuracy, efficiency, and stability than FFT. Therefore, we use the COS method to investigate the impact of the parameters in the stochastic jump intensity process and the existence of the process on the call option prices. We also use it to examine the impact of the parameters in the interest rate process on the call option prices.


2018 ◽  
Vol 33 (1) ◽  
pp. 81-104 ◽  
Author(s):  
Xingyu Han

In this paper, we extend the framework of Klein [15] [Journal of Banking & Finance 20: 1211–1229] to a general model under the double exponential jump model with stochastic volatility on the underlying asset and the assets of the counterparty. Firstly, we derive the closed-form characteristic functions for this dynamic. Using the Fourier-cosine expansion technique, we get numerical solutions for vulnerable European put options based on the characteristic functions. The inverse fast Fourier transform method provides a fast numerical algorithm for the twice-exercisable vulnerable Bermuda put options. By virtue of the modified Geske and Johnson method, we obtain an approximate pricing formula of vulnerable American put options. Numerical simulations are made for investigating the impact of stochastic volatility on vulnerable options.


2019 ◽  
Vol 61 (4) ◽  
pp. 382-397
Author(s):  
S. N. I. IBRAHIM ◽  
A. DÍAZ-HERNÁNDEZ ◽  
J. G. O’HARA ◽  
N. CONSTANTINOU

Options with extendable features have many applications in finance and these provide the motivation for this study. The pricing of extendable options when the underlying asset follows a geometric Brownian motion with constant volatility has appeared in the literature. In this paper, we consider holder-extendable call options when the underlying asset follows a mean-reverting stochastic volatility. The option price is expressed in integral forms which have known closed-form characteristic functions. We price these options using a fast Fourier transform, a finite difference method and Monte Carlo simulation, and we determine the efficiency and accuracy of the Fourier method in pricing holder-extendable call options for Heston parameters calibrated from the subprime crisis. We show that the fast Fourier transform reduces the computational time required to produce a range of holder-extendable call option prices by at least an order of magnitude. Numerical results also demonstrate that when the Heston correlation is negative, the Black–Scholes model under-prices in-the-money and over-prices out-of-the-money holder-extendable call options compared with the Heston model, which is analogous to the behaviour for vanilla calls.


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