《A comparison principle between rough and non-rough Heston models - with
applications to the volatility surface》
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作者:
Martin Keller-Ressel and Assad Majid
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最新提交年份:
2019
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英文摘要:
We present a number of related comparison results, which allow to compare moment explosion times, moment generating functions and critical moments between rough and non-rough Heston models of stochastic volatility. All results are based on a comparison principle for certain non-linear Volterra integral equations. Our upper bound for the moment explosion time is different from the bound introduced by Gerhold, Gerstenecker and Pinter (2018) and tighter for typical parameter values. The results can be directly transferred to a comparison principle for the asymptotic slope of implied volatility between rough and non-rough Heston models. This principle shows that the ratio of implied volatility slopes in the rough vs. the non-rough Heston model increases at least with power-law behavior for small maturities.
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中文摘要:
我们给出了一些相关的比较结果,可以比较随机波动率的粗糙和非粗糙Heston模型之间的矩爆炸时间、矩母函数和临界矩。所有结果均基于某些非线性Volterra积分方程的比较原理。我们的力矩爆炸时间上限不同于Gerhold、Gerstenecker和Pinter(2018)提出的上限,对于典型的参数值更为严格。结果可以直接转化为粗糙和非粗糙Heston模型之间隐含波动率渐近斜率的比较原则。这一原理表明,对于小到期日,粗糙与非粗糙Heston模型中隐含波动率斜率的比率至少随着幂律行为的增加而增加。
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分类信息:
一级分类:Quantitative Finance 数量金融学
二级分类:Mathematical Finance 数学金融学
分类描述:Mathematical and analytical methods of finance, including stochastic, probabilistic and functional analysis, algebraic, geometric and other methods
金融的数学和分析方法,包括随机、概率和泛函分析、代数、几何和其他方法
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一级分类:Mathematics 数学
二级分类:Probability 概率
分类描述:Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory
概率论与随机过程的理论与应用:例如中心极限定理,大偏差,随机微分方程,统计力学模型,排队论
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