Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models

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ID: 290576
2002
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Ranked #5 of 145 articles by views in Journal of the Royal Statistical Society Series B (Statistical Methodology)

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Abstract
Summary The availability of intraday data on the prices of speculative assets means that we can use quadratic variation-like measures of activity in financial markets, called realized volatility, to study the stochastic properties of returns. Here, under the assumption of a rather general stochastic volatility model, we derive the moments and the asymptotic distribution of the realized volatility error—the difference between realized volatility and the discretized integrated volatility (which we call actual volatility). These properties can be used to allow us to estimate the parameters of stochastic volatility models without recourse to the use of simulation-intensive methods.
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openalex_W2140585983 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ole E. Barndorff–Nielsen, Neil Shephard
Journal Journal of the Royal Statistical Society Series B (Statistical Methodology)
Year 2002
DOI
10.1111/1467-9868.00336
URL
https://academic.oup.com/jrsssb/article-pdf/64/2/253/49721760/jrsssb_64_2_253.pdf
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