This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Heterogeneous information flows and intra-day volatility dynamics: evidence from the UK FTSE-100 stock index futures market

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
David G. McMillan
Alan E. H. Speight
Abstract

Recent research has suggested that intra-day volatility may possess a component structure due to heterogeneous information arrivals. This paper reports evidence for the existence of such components in FTSE-100 stock index futures returns data. Preliminary GARCH model estimates support previous evidence for other markets indicating the breakdown of theoretical GARCH temporal aggregation properties over the intra-day period. However, the fractional integration properties of absolute and squared returns, and FIGARCH conditional volatility model estimates, lend strong support to the contention that volatility dynamics results from multiple sources given the invariance of the fractional difference parameter estimates to the degree of intra-day data temporal aggregation.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://taylorandfrancis.metapress.com/link.asp?target=contribution&id=K12323W51J427438
File Format: text/html
File Function:
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Taylor and Francis Journals in its journal Applied Financial Economics.

Volume (Year): 16 (2006)
Issue (Month): 13 (September)
Pages: 959-972
Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Handle: RePEc:taf:apfiec:v:16:y:2006:i:13:p:959-972

Contact details of provider:
Web page: http://www.tandf.co.uk/journals/routledge/09603107.html

Order Information:
Web: http://www.tandf.co.uk/journals/subscription.html

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Torben G. Andersen & Tim Bollerslev, 1996. "DM-Dollar Volatility: Intraday Activity Patterns, Macroeconomic Announcements, and Longer Run Dependencies," NBER Working Papers 5783, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  2. Torben G. Andersen & Tim Bollerslev, 1996. "Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long-Run in High Frequency Returns," NBER Working Papers 5752, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  3. Andersen, Torben G. & Bollerslev, Tim, 1997. "Intraday periodicity and volatility persistence in financial markets," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 115-158, June. [Downloadable!] (restricted)
  4. Anderson, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Labys, Paul, 2002. "Modeling and Forecasting Realized Volatility," Working Papers 02-12, Duke University, Department of Economics. [Downloadable!]
    Other versions:
  5. Morris, Stephen, 1994. "Trade with Heterogeneous Prior Beliefs and Asymmetric Information," Econometrica, Econometric Society, vol. 62(6), pages 1327-47, November. [Downloadable!] (restricted)
  6. Andersen, Torben G. & Bollerslev, Tim & Lange, Steve, 1999. "Forecasting financial market volatility: Sample frequency vis-a-vis forecast horizon," Journal of Empirical Finance, Elsevier, vol. 6(5), pages 457-477, December. [Downloadable!] (restricted)
  7. Bollerslev, Tim & Wright, Jonathan H., 2000. "Semiparametric estimation of long-memory volatility dependencies: The role of high-frequency data," Journal of Econometrics, Elsevier, vol. 98(1), pages 81-106, September. [Downloadable!] (restricted)
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. David G. McMillan & Alan E. H. Speight, 2006. "Market trader heterogeneity and high frequency volatility dynamics: further evidence from intra-day FTSE-100 futures data," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 2(2), pages 99-103, March. [Downloadable!] (restricted)
Statistics
Access and download statistics

Did you know? IDEAS also covers the most complete directory of Economics departments and institutes, EDIRC.

This page was last updated on 2008-8-31.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.