In this paper, option pricing is given via stochastic analysis and invariant subspace method. Finally numerical solutions is driven and shown via diagram. The considered model is one of the most well known non-linear time series model in which the switching mechanism is controlled by an unobservable state variable that follows a first-order Markov chain. Some analytical solutions for option pricing are given under our considered model. Then numerical solutions are presented via finite difference method.
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Hejazi, R., Dastranj, E., Habibi, N., & Naderifard, A. (2022). Stochastic analysis and invariant subspace method for handling option pricing with numerical simulation. Computational Methods for Differential Equations, 10(2), 419-430. doi: 10.22034/cmde.2021.38468.1692
MLA
Reza Hejazi; Elham Dastranj; Noora Habibi; Azadeh Naderifard. "Stochastic analysis and invariant subspace method for handling option pricing with numerical simulation". Computational Methods for Differential Equations, 10, 2, 2022, 419-430. doi: 10.22034/cmde.2021.38468.1692
HARVARD
Hejazi, R., Dastranj, E., Habibi, N., Naderifard, A. (2022). 'Stochastic analysis and invariant subspace method for handling option pricing with numerical simulation', Computational Methods for Differential Equations, 10(2), pp. 419-430. doi: 10.22034/cmde.2021.38468.1692
VANCOUVER
Hejazi, R., Dastranj, E., Habibi, N., Naderifard, A. Stochastic analysis and invariant subspace method for handling option pricing with numerical simulation. Computational Methods for Differential Equations, 2022; 10(2): 419-430. doi: 10.22034/cmde.2021.38468.1692
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