Decoupling Interday and Intraday Volatility Dynamics With Price Durations

ABSTRACT This article introduces a novel framework for volatility estimation based on price durations with an adaptive price change threshold. This innovation allows us to disentangle daily and intraday volatility dynamics from price durations, which greatly simplifies the parametric modelling of price durations and hence leads to more accurate volatility estimators. Simulation results demonstrate superior finite‐sample performance of our duration‐based estimators for both spot and integrated volatility compared with some established methods. An empirical application based on intraday data for the SPDR S&P 500 ETF highlights the improved forecasting accuracy of our integrated volatility estimator within a standard daily volatility forecasting framework. Furthermore, an intraday analysis of spot volatility estimation shows that our method can capture the immediate and substantial impact of FOMC news announcements on market volatility.

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Publication Details

Journal
Journal of Time Series Analysis
Published
2025-06-29
DOI
https://doi.org/10.1111/jtsa.12849
Citations
1
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
2.21

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article

Decoupling Interday and Intraday Volatility Dynamics With Price Durations

Shifan Yu, Sandra Nolte, Ingmar Nolte, Yifan Li
1 citations
Journal of Time Series Analysis
Financial Risk and Volatility Modeling
2.21
article

Decoupling Interday and Intraday Volatility Dynamics With Price Durations

Shifan Yu, Sandra Nolte, Ingmar Nolte, Yifan Li
article en
1 citations

Abstract

ABSTRACT This article introduces a novel framework for volatility estimation based on price durations with an adaptive price change threshold. This innovation allows us to disentangle daily and intraday volatility dynamics from price durations, which greatly simplifies the parametric modelling of price durations and hence leads to more accurate volatility estimators. Simulation results demonstrate superior finite‐sample performance of our duration‐based estimators for both spot and integrated volatility compared with some established methods. An empirical application based on intraday data for the SPDR S&P 500 ETF highlights the improved forecasting accuracy of our integrated volatility estimator within a standard daily volatility forecasting framework. Furthermore, an intraday analysis of spot volatility estimation shows that our method can capture the immediate and substantial impact of FOMC news announcements on market volatility.

Journal of Time Series AnalysisVol. 46(6)
University of Manchester (GB), Science Oxford (GB), Lancaster University (GB)
Economic and Social Research Council
Openalex Percentile: Top 12%
Financial Risk and Volatility Modeling
2.21
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