Realising the future: forecasting with high frequency based volatility (HEAVY) models
Neil Shephard () and
Kevin Sheppard ()
No 2009-W03, Economics Papers from Economics Group, Nuffield College, University of Oxford
Abstract:
This paper studies in some detail a class of high frequency based volatility (HEAVY) models. These models are direct models of daily asset return volatility based on realized measures constructed from high frequency data. Our analysis identifies that the models have momentum and mean reversion effects, and that they adjust quickly to structural breaks in the level of the volatility process. We study how to estimate the models and how they perform through the credit crunch, comparing their fit to more traditional GARCH models. We analyse a model based bootstrap which allow us to estimate the entire predictive distribution of returns. We also provide an analysis of missing data in the context of these models.
Keywords: ARCH models; bootstrap; missing data; multiplicative error model; multistep ahead prediction; non-nested likelihood ratio test; realised kernel; realised volatility. (search for similar items in EconPapers)
Pages: 41 pages
Date: 2009-07-10
New Economics Papers: this item is included in nep-ecm, nep-for and nep-mst
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)
Downloads: (external link)
http://www.nuffield.ox.ac.uk/economics/papers/2009/w3/heavy080709.pdf (application/pdf)
Related works:
Journal Article: Realising the future: forecasting with high-frequency-based volatility (HEAVY) models (2010) 
Working Paper: Realising the future: forecasting with high frequency based volatility (HEAVY) models (2009)
Working Paper: Realising the future: forecasting with high frequency based volatility (HEAVY) models (2009) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nuf:econwp:0903
Access Statistics for this paper
More papers in Economics Papers from Economics Group, Nuffield College, University of Oxford Contact information at EDIRC.
Bibliographic data for series maintained by Maxine Collett ().