Asymptotic Analysis of Implied Volatility Under Stochastic Volatility Jump-Diffusion Models

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Autores principales: Revista, Zen, MATH, 10
Formato: Recurso digital
Publicado: Zenodo 2025
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author Revista, Zen
MATH, 10
author_facet Revista, Zen
MATH, 10
contents In this paper, we investigate the asymptotic behavior of implied volatility in financial markets under stochastic volatility jump-diffusion models. We derive approximations for the implied volatility surface when the time to maturity approaches zero and infinity. We analyze the impact of jumps in both the asset price and the volatility process on the short-term and long-term implied volatility smiles and skews. The study employs advanced techniques from stochastic calculus, including martingale theory and asymptotic expansion methods, to obtain closed-form approximations. We compare our theoretical results with numerical simulations to demonstrate the accuracy of our asymptotic formulas. The findings provide valuable insights for option pricing, risk management, and volatility trading strategies.
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spellingShingle Asymptotic Analysis of Implied Volatility Under Stochastic Volatility Jump-Diffusion Models
Revista, Zen
MATH, 10
In this paper, we investigate the asymptotic behavior of implied volatility in financial markets under stochastic volatility jump-diffusion models. We derive approximations for the implied volatility surface when the time to maturity approaches zero and infinity. We analyze the impact of jumps in both the asset price and the volatility process on the short-term and long-term implied volatility smiles and skews. The study employs advanced techniques from stochastic calculus, including martingale theory and asymptotic expansion methods, to obtain closed-form approximations. We compare our theoretical results with numerical simulations to demonstrate the accuracy of our asymptotic formulas. The findings provide valuable insights for option pricing, risk management, and volatility trading strategies.
title Asymptotic Analysis of Implied Volatility Under Stochastic Volatility Jump-Diffusion Models
url https://doi.org/10.5281/zenodo.17830217