Correction to Black-Scholes formula due to fractional stochastic volatility
Josselin Garnier, Knut Solna

TL;DR
This paper analyzes how fractional stochastic volatility models, specifically using fractional Ornstein-Uhlenbeck processes, affect the implied volatility's term structure, revealing a fractional power dependence on maturity.
Contribution
It provides a rigorous analysis of implied volatility in fractional Ornstein-Uhlenbeck volatility models, highlighting the fractional power law dependence on maturity.
Findings
Implied volatility exhibits a fractional power law dependence on maturity.
The model captures long-range dependence in volatility correlations.
Analytical results connect fractional Ornstein-Uhlenbeck processes to observed market phenomena.
Abstract
Empirical studies show that the volatility may exhibit correlations that decay as a fractional power of the time offset. The paper presents a rigorous analysis for the case when the stationary stochastic volatility model is constructed in terms of a fractional Ornstein Uhlenbeck process to have such correlations. It is shown how the associated implied volatility has a term structure that is a function of maturity to a fractional power.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Complex Systems and Time Series Analysis
