Econometric Analysis of Realised Volatility and Its Use in Estimating Stochastic Volatility Models.

The availability of intra-day data on the prices of speculative assets means that we can use quadratic variation like measures of activity in financial markets, called realised volatility, to study the stochastic properties of returns. Here we derive the moments and the asymptotic distribution of th...

Full description

Bibliographic Details
Main Authors: Barndorff-Nielsen, O, Shephard, N
Format: Working paper
Language:English
Published: Department of Economics (University of Oxford) 2001
_version_ 1826291050894852096
author Barndorff-Nielsen, O
Shephard, N
author_facet Barndorff-Nielsen, O
Shephard, N
author_sort Barndorff-Nielsen, O
collection OXFORD
description The availability of intra-day data on the prices of speculative assets means that we can use quadratic variation like measures of activity in financial markets, called realised volatility, to study the stochastic properties of returns. Here we derive the moments and the asymptotic distribution of the realised volatility error - the difference between realised volatility and the actual volatility. These properties can be used to allow us to estimate the parameters of stochastic volatility models.
first_indexed 2024-03-07T02:53:34Z
format Working paper
id oxford-uuid:ae840c5b-a605-4920-b49b-37c3ebec9e59
institution University of Oxford
language English
last_indexed 2024-03-07T02:53:34Z
publishDate 2001
publisher Department of Economics (University of Oxford)
record_format dspace
spelling oxford-uuid:ae840c5b-a605-4920-b49b-37c3ebec9e592022-03-27T03:42:59ZEconometric Analysis of Realised Volatility and Its Use in Estimating Stochastic Volatility Models.Working paperhttp://purl.org/coar/resource_type/c_8042uuid:ae840c5b-a605-4920-b49b-37c3ebec9e59EnglishOxford University Research Archive - ValetDepartment of Economics (University of Oxford)2001Barndorff-Nielsen, OShephard, NThe availability of intra-day data on the prices of speculative assets means that we can use quadratic variation like measures of activity in financial markets, called realised volatility, to study the stochastic properties of returns. Here we derive the moments and the asymptotic distribution of the realised volatility error - the difference between realised volatility and the actual volatility. These properties can be used to allow us to estimate the parameters of stochastic volatility models.
spellingShingle Barndorff-Nielsen, O
Shephard, N
Econometric Analysis of Realised Volatility and Its Use in Estimating Stochastic Volatility Models.
title Econometric Analysis of Realised Volatility and Its Use in Estimating Stochastic Volatility Models.
title_full Econometric Analysis of Realised Volatility and Its Use in Estimating Stochastic Volatility Models.
title_fullStr Econometric Analysis of Realised Volatility and Its Use in Estimating Stochastic Volatility Models.
title_full_unstemmed Econometric Analysis of Realised Volatility and Its Use in Estimating Stochastic Volatility Models.
title_short Econometric Analysis of Realised Volatility and Its Use in Estimating Stochastic Volatility Models.
title_sort econometric analysis of realised volatility and its use in estimating stochastic volatility models
work_keys_str_mv AT barndorffnielseno econometricanalysisofrealisedvolatilityanditsuseinestimatingstochasticvolatilitymodels
AT shephardn econometricanalysisofrealisedvolatilityanditsuseinestimatingstochasticvolatilitymodels