Small-time moderate deviations for the randomised Heston model
Antoine Jacquier, Fangwei Shi

TL;DR
This paper extends large deviations results to moderate deviations for the randomised Heston model, using advanced probabilistic tools to analyze the model's behavior.
Contribution
It introduces moderate deviation analysis to the randomised Heston model, expanding the understanding beyond large deviations.
Findings
Established moderate deviation principles for the model
Applied G"artner-Ellis theorem and sharp large deviations techniques
Enhanced the theoretical framework for stochastic volatility models
Abstract
We extend previous large deviations results for the randomised Heston model to the case of moderate deviations. The proofs involve the G\"artner-Ellis theorem and sharp large deviations tools.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Random Matrices and Applications
