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Equilibrium origins of rough volatility

Ascertain how rough volatility—e.g., log-volatility dynamics driven by fractional Brownian motion with Hurst exponent H < 1/2—can arise endogenously within equilibrium asset-pricing models for equity indexes. Develop an equilibrium framework that explains the emergence of rough volatility consistent with observed market features.

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Background

Empirical studies show that equity index volatilities exhibit rough behavior, often modeled via fractional Brownian motion with small Hurst exponent, and rough volatility models can reproduce the power-law term structure of ATM implied volatility skew. While microstructural foundations have been proposed to justify roughness, connecting these features to equilibrium asset-pricing remains unresolved.

The authors highlight that constructing equilibrium models that generate rough volatility and associated skew behavior is an open challenge; they propose ranking mechanisms as a potential ingredient but leave a full equilibrium development for future work.

References

Constructing an equilibrium model to elucidate the power-law term structure of ATM skews is an intriguing problem. While existing literature, such as \citet{jaisson2016rough} and \citet{el2018microstructural}, offers arguments rooted in microstructure foundations to account for rough volatilities, the question of how rough volatilities manifest in equilibrium remains unanswered.

On short-time behavior of implied volatility in a market model with indexes (2402.16509 - Chau et al., 26 Feb 2024) in Introduction, contributions/limitations/comparisons bullet 6