Alternating direction implicit method for approximation solution of the HCIR model, including transaction costs in a Jump-Diffusion model
سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 253
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شناسه ملی سند علمی:
JR_CMDE-13-1_025
تاریخ نمایه سازی: 11 دی 1403
چکیده مقاله:
The standard model, which determines option pricing, is the well-known Black-Scholes formula. Heston in addition to Cox-Ingersoll-Ross which is called CIR, respectively, implemented the models of stochastic volatility and interest rate to the standard option pricing model. The cost of transaction, which the Black-Scholes method overlooked, is another crucial consideration that must be made when trading a service or production. It is acknowledged that by employing the log-normal stock diffusion hypothesis with constant volatility, the Black-Scholes model for option pricing departs from reality. The standard log-normal stock price distribution used in the Black-Scholes model is insufficient to account for the leaps that regularly emerge in the discontinuous swings of stock prices. A jump-diffusion model, which combines a jump process and a diffusion process is a type of mixed model in the Black-Scholes model belief. Merton developed a jump model as a modification of jump models to better describe purchasing and selling behavior. In this study, the Heston-Cox-Ingersoll-Ross (HCIR) model with transaction costs is solved using the alternating direction implicit (ADI) approach and the Monte Carlo simulation assuming the underlying asset adheres to the jump-diffusion case, then the outcomes are compared to the analytical solution. In addition, the consistency of the numerical method is proven for the model.
کلیدواژه ها:
Option pricing ، Stochastic volatility ، Stochastic interest rate ، Cost of transaction ، Alternating direction implicit approach ، Jump-diffusion process
نویسندگان
Elham Mashayekhi
Faculty of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran.
Javad Damirchi
Faculty of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran.
Ahmad Yazdanian
Faculty of Financial Sciences, Kharazmi University, Tehran, Iran.