Asymptotic Formulas with Error Estimates for Call Pricing Functions and the Implied Volatility at Extreme Strikes
A. Gulisashvili

TL;DR
This paper derives precise asymptotic formulas with error bounds for call pricing functions and implied volatility at extreme strikes, connecting to established tail-wing formulas and analyzing specific stochastic models.
Contribution
It introduces new asymptotic formulas with error estimates for implied volatility and call prices, extending existing tail-wing formulas to several stochastic models.
Findings
Asymptotic formulas with error estimates for implied volatility at extreme strikes.
Validation of formulas against Lee’s moment formulas and tail-wing formulas.
Application to Hull-White, Stein-Stein, and Heston models.
Abstract
In this paper, we obtain asymptotic formulas with error estimates for the implied volatility associated with a European call pricing function. We show that these formulas imply Lee's moment formulas for the implied volatility and the tail-wing formulas due to Benaim and Friz. In addition, we analyze Pareto-type tails of stock price distributions in uncorrelated Hull-White, Stein-Stein, and Heston models and find asymptotic formulas with error estimates for call pricing functions in these models.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Complex Systems and Time Series Analysis
