A Stochastic Price Duration Model for Estimating High-Frequency Volatility

IF 1.8 3区 经济学 Q2 BUSINESS, FINANCE
Denis Pelletier, Wei Wei
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引用次数: 0

Abstract

Abstract We propose a stochastic price duration model to estimate high-frequency volatility. A price duration is directly linked to volatility from the passage time theory for Brownian motions, and it possesses several advantages over returns for estimating volatility. We employ price durations in a parametric model that directly specifies stochastic volatility dynamics. Our approach allows us to estimate intraday spot volatility and our empirical results suggest the presence of important intraday volatility dynamics. We conduct an extensive integrated variance forecast comparison, which demonstrates the superior performance of our proposed models compared with other duration-based or return-based estimators.
估计高频波动率的随机价格持续时间模型
摘要提出了一个随机价格持续时间模型来估计高频波动率。从布朗运动的通过时间理论来看,价格持续时间与波动率直接相关,在估计波动率方面,它比回报有几个优势。我们在直接指定随机波动动力学的参数模型中使用价格持续时间。我们的方法允许我们估计日内现货波动,我们的经验结果表明,重要的日内波动动态的存在。我们进行了广泛的综合方差预测比较,这表明与其他基于持续时间或基于回报的估计器相比,我们提出的模型具有优越的性能。
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来源期刊
CiteScore
5.60
自引率
8.00%
发文量
39
期刊介绍: "The Journal of Financial Econometrics is well situated to become the premier journal in its field. It has started with an excellent first year and I expect many more."
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