2021
DOI: 10.1007/s10614-021-10121-w
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A Mellin Transform Approach to the Pricing of Options with Default Risk

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Cited by 8 publications
(3 citation statements)
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“…The model (1) also has been calibrated by Kim et al 5 for the pricing group parameters of European vanilla options. So, we inevitably use an ad-hoc reasonable choice of the parameter values for the experiment which have been used for numerical experiments in the previous literature of Yoon and Park 16 and Choi et al 7 Based on the order condition for 𝛿 and 𝜖, they are K = 100, B = 80, t = 0, T = 1, N = 1000, r = 0.02, 𝜎 = 0.3, 𝜌 = 0.2, m = 0, 𝜈 = 0.5, y 0 = 0.3, 𝛿 = 0.001, and 𝜖 = 0.006. The function f is chosen to be wide range of underlying prices.…”
Section: Numerical Experimentsmentioning
confidence: 99%
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“…The model (1) also has been calibrated by Kim et al 5 for the pricing group parameters of European vanilla options. So, we inevitably use an ad-hoc reasonable choice of the parameter values for the experiment which have been used for numerical experiments in the previous literature of Yoon and Park 16 and Choi et al 7 Based on the order condition for 𝛿 and 𝜖, they are K = 100, B = 80, t = 0, T = 1, N = 1000, r = 0.02, 𝜎 = 0.3, 𝜌 = 0.2, m = 0, 𝜈 = 0.5, y 0 = 0.3, 𝛿 = 0.001, and 𝜖 = 0.006. The function f is chosen to be wide range of underlying prices.…”
Section: Numerical Experimentsmentioning
confidence: 99%
“…The model (1) also has been calibrated by Kim et al 5$$ {}^5 $$ for the pricing group parameters of European vanilla options. So, we inevitably use an ad‐hoc reasonable choice of the parameter values for the experiment which have been used for numerical experiments in the previous literature of Yoon and Park 16 and Choi et al 7 Based on the order condition for δ$$ \delta $$ and ϵ$$ \epsilon $$, they are K=100$$ K=100 $$, B=80$$ B=80 $$, t=0$$ t=0 $$, T=1$$ T=1 $$, N=1000$$ N=1000 $$, r=0.02$$ r=0.02 $$, σ=0.3$$ \sigma =0.3 $$, ρ=0.2$$ \rho =0.2 $$, m=0$$ m=0 $$, ν=0.5$$ \nu =0.5 $$, y0=0.3$$ {y}_0=0.3 $$, δ=0.001$$ \delta =0.001 $$, and …”
Section: Numerical Experimentsmentioning
confidence: 99%
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