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! ]

Are combination forecasts of S&P 500 volatility statistically superior?

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Ralf Becker
Adam Clements ()

Additional information is available for the following registered author(s):

Abstract

Forecasting volatility has received a great deal of research attention. Many articles have considered the relative performance of econometric model based and option implied volatility forecasts. While many studies have found that implied volatility is the preferred approach, a number of issues remain unresolved. One issue being the relative merit of combination forecasts. By utilising recent econometric advances, this paper considers whether combination forecasts of S&P 500 volatility are statistically superior to a wide range of model based forecasts and implied volatility. It is found that combination forecasts are the dominant approach, indicating that the VIX cannot simply be viewed as a combination of various model based forecasts.

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.ncer.edu.au/papers/documents/WpNo17June07.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by National Centre for Econometric Research in its series NCER Working Paper Series with number 17.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length: 28
Date of creation: 14 Jun 2007
Date of revision:
Handle: RePEc:qut:auncer:2007-92

Contact details of provider:
Phone: 07 3138 5066
Fax: 07 3138 1500
Web page: http://www.ncer.edu.au
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (School of Economics).

Related research
Keywords: Implied volatility volatility forecasts volatility models realized volatility combination forecasts.

Other versions of this item:

Find related papers by JEL classification:
C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models
G00 - Financial Economics - - General - - - General

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? To receive notification of recent additions to the database, subscribe to the free NEP reports.

This page was last updated on 2008-10-23.


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.