Valuation of options subject to default risk under a mixed fractional and multiscale stochastic volatility model

Based on the recent trend in developing stochastic volatility models in terms of a fractional Brownian motion, we introduce a volatility model for option’s underlying asset and option issuer’s total assets by incorporating the short and long memory properties into the fast and slow scale variations...

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Published inAdvances in continuous and discrete models Vol. 2025; no. 1; p. 93
Main Authors Lee, Min-Ku, Kim, Jeong-Hoon
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 12.05.2025
Springer Nature B.V
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Abstract Based on the recent trend in developing stochastic volatility models in terms of a fractional Brownian motion, we introduce a volatility model for option’s underlying asset and option issuer’s total assets by incorporating the short and long memory properties into the fast and slow scale variations of volatility, respectively. We derive a closed-form formula explicitly for the approximate price of a European option with the option issuer’s default risk. We study the accuracy of the approximation and the sensitivity of the price formula to the fractional volatility parameters and provide a comparative analysis of the Black–Scholes (constant volatility) and the multiscale stochastic volatility models with or without the memory property in view of model fitting performance to Monte Carlo simulation data.
AbstractList Based on the recent trend in developing stochastic volatility models in terms of a fractional Brownian motion, we introduce a volatility model for option’s underlying asset and option issuer’s total assets by incorporating the short and long memory properties into the fast and slow scale variations of volatility, respectively. We derive a closed-form formula explicitly for the approximate price of a European option with the option issuer’s default risk. We study the accuracy of the approximation and the sensitivity of the price formula to the fractional volatility parameters and provide a comparative analysis of the Black–Scholes (constant volatility) and the multiscale stochastic volatility models with or without the memory property in view of model fitting performance to Monte Carlo simulation data.
ArticleNumber 93
Author Lee, Min-Ku
Kim, Jeong-Hoon
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Option pricing
Fractional Brownian motion
Multiscale
Default risk
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Snippet Based on the recent trend in developing stochastic volatility models in terms of a fractional Brownian motion, we introduce a volatility model for option’s...
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StartPage 93
SubjectTerms Accuracy
Analysis
Approximation
Arbitrage
Brownian motion
Default
Difference and Functional Equations
Functional Analysis
Mathematics
Mathematics and Statistics
Monte Carlo simulation
Ordinary Differential Equations
Parameter sensitivity
Partial Differential Equations
Securities prices
Stochastic models
Volatility
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Title Valuation of options subject to default risk under a mixed fractional and multiscale stochastic volatility model
URI https://link.springer.com/article/10.1186/s13662-025-03953-5
https://www.proquest.com/docview/3204002671
Volume 2025
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