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! ]

Value at Risk Model Estimation Software

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
James Engel () (Australian Prudential Regulation Authority)

Additional information is available for the following registered author(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 page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.apra.gov.au/RePEc/RePEcDocs/Archive/code/cd0001.zip
File Format: application/zip
File Function: main text
Download Restriction: no

Publisher Info
Software component provided by Australian Prudential Regulation Authority in its series Programs and Software with number cd0001.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Size:
Programming language:
Requires:
Date of creation: 31 Jan 1999
Date of revision:
Handle: RePEc:apr:aprsft:cd0001

Note: This software is provided for public non-commercial illustrative purposes only. The author takes no responsibility for any errors. Use it at your own risk.
Contact details of provider:
Postal: 400 George Street, Sydney, NSW 2000, Australia
Phone: +61 (0)2 9210 3000
Fax: +61 (0)2 9210 3022
Web page: http://www.apra.gov.au/

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

Related research
Keywords: Value-at-Risk; RATS; Garch;

Find related papers by JEL classification:
C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General

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 2009-11-25.


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.