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The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility

Patton, Andrew J., Sheppard, Kevin·2015·Review of Economics and Statistics

Abstract

Using estimators of the variation of positive and negative returns (realized semivariances) and high-frequency data for the S&P 500 Index and 105 individual stocks, this paper sheds new light on the predictability of equity price volatility.We showthat future volatility is more strongly related to the volatility of past negative returns than to that of positive returns and that the impact of a price jump on volatility depends on the sign of the jump, with negative (positive) jumps leading to higher (lower) future volatility. We show that models exploiting these findings lead to significantly better out-of-sample forecast performance.

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Metadata

Authors
Patton, A. J., & Sheppard, K.
Venue
Review of Economics and Statistics
Published
2015-07
Volume
97
Issue
3
Pages
683-697
ISSN
  • 0034-6535 (ISSN-L)
  • 1530-9142
OpenAlex
W2066815740
Cited by
769
References
43
FWCI
83.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility. https://app.cochat.ai/papers/10.1162/rest_a_00503
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Patton, A. J., & Sheppard, K. (2015). Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility. Review of Economics and Statistics. https://doi.org/10.1162/rest_a_00503

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.