Cram\'{e}r moderate deviation expansion for martingales with one-sided Sakhanenko's condition and its applications
Xiequan Fan, Ion Grama, Quansheng Liu

TL;DR
This paper establishes a new Cramér moderate deviation expansion for martingales with specific moment conditions, leading to a half-side deviation principle and applications to mixing sequences and inequalities.
Contribution
It introduces a novel moderate deviation expansion for martingales under Sakhanenko's condition, applicable even to independent variables, with optimal bounds and broad applications.
Findings
Derived a new moderate deviation expansion for martingales.
Established a half-side moderate deviation principle.
Applied results to mixing sequences and quantile inequalities.
Abstract
We give a Cram\'{e}r moderate deviation expansion for martingales with differences having finite conditional moments of order and finite one-sided conditional exponential moments. The upper bound of the range of validity and the remainder of our expansion are both optimal. Consequently, it leads to a "half-side" moderate deviation principle for martingales. It is worth mentioning that our result is new even for independent random variables. Moreover, applications to quantile coupling inequality, -mixing and -mixing sequences are discussed.
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Taxonomy
TopicsProbability and Risk Models · Financial Risk and Volatility Modeling · Stochastic processes and financial applications
