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! ]

Bayesian range-based estimation of stochastic volatility models

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Brandt, Michael W.
Jones, Christopher S.
Abstract

No abstract is available for this item.

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://www.sciencedirect.com/science/article/B7CPP-4H6XM2Y-2/2/b589b936eaef31e49b991b8d513d4c8e
File Format:
File Function:
Download Restriction: Full text for ScienceDirect subscribers only

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 Elsevier in its journal Finance Research Letters.

Volume (Year): 2 (2005)
Issue (Month): 4 (December)
Pages: 201-209
Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Handle: RePEc:eee:finlet:v:2:y:2005:i:4:p:201-209

Contact details of provider:
Web page: http://www.elsevier.com/locate/frl

For technical questions regarding this item, or to correct its listing, contact: (Heidi Boesdal).

Related research
Keywords:

Statistics
Access and download statistics

Did you know? There is a FAQ (frequently asked questions).

This page was last updated on 2009-1-6.


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.