Are There Structural Breaks in Realized Volatility?

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Cite
Liu, C., and J. M. Maheu. “Are There Structural Breaks in Realized Volatility?”. Journal of Financial Econometrics, vol. 6, no. 3, 2008, pp. 326-60, https://doi.org/10.1093/jjfinec/nbn006.
Liu, C., & Maheu, J. M. (2008). Are There Structural Breaks in Realized Volatility?. Journal of Financial Econometrics, 6(3), 326-360. https://doi.org/10.1093/jjfinec/nbn006
Liu C, Maheu JM. Are There Structural Breaks in Realized Volatility?. Journal of Financial Econometrics. 2008;6(3):326-60.
Citations
Title Journal Journal Categories Citations Publication Date
Forecasting Ethereum’s volatility: an expansive approach using HAR models and structural breaks Cogent Economics & Finance
  • Social Sciences: Finance
  • Social Sciences: Economic theory. Demography
  • Social Sciences: Economic theory. Demography: Economics as a science
1 2024
A Nonparametric Test for Instantaneous Causality with Time-varying Variances SSRN Electronic Journal 2024
Bayesian estimation of realized GARCH-type models with application to financial tail risk management Econometrics and Statistics 8 2023
Change-points and functional features of intraday volatility in China stock market Annals of Operations Research
  • Technology: Manufactures: Production management. Operations management
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
2022
Forecasting volatility of Bitcoin Research in International Business and Finance
  • Social Sciences: Finance
  • Social Sciences: Economic theory. Demography: Economics as a science
  • Social Sciences: Commerce: Business
  • Social Sciences: Economic theory. Demography: Economics as a science
18 2022
Citations Analysis
The category Social Sciences: Economic theory. Demography: Economics as a science 37 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Do High-Frequency Measures of Volatility Improve Forecasts of Return Distributions? and was published in 2008. The most recent citation comes from a 2024 study titled A Nonparametric Test for Instantaneous Causality with Time-varying Variances. This article reached its peak citation in 2017, with 7 citations. It has been cited in 34 different journals, 8% of which are open access. Among related journals, the SSRN Electronic Journal cited this research the most, with 9 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year