EconPapers    
Economics at your fingertips  
 

A Structure for General and Specific Market Risk

Eckhard Platen () and Gerhard Stahl

No 91, Research Paper Series from Quantitative Finance Research Centre, University of Technology, Sydney

Abstract: The paper presents a consistent approach to the modeling of general and specific market risk as defined in regulatory documents. It compares the statistically based beta-factor model with a class of benckmark models that use a broadly based index as major building block for modeling. The investigation of log-return of stock prices that are expressed in units of the market index reveals that these are likely to be Student t distributed. A corresponding discrete time benchmark model is then used to calculate Value-at-Risk for equity portfolios.

Keywords: risk measurement; general market risk; specific market risk; value at risk; financial modeling; benchmark model; growth optimal portfolio (search for similar items in EconPapers)
Pages: 19 pages
Date: 2003-02-01
New Economics Papers: this item is included in nep-fmk
References: Add references at CitEc
Citations: View citations in EconPapers (11)

Published as: Platen, E. and Stahl, G., 2004, "A Structure for General and Specific Market Risk", Computational Statistics, 18(3), 355-373.

Downloads: (external link)
http://www.qfrc.uts.edu.au/research/research_papers/rp91.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://www.qfrc.uts.edu.au/research/research_papers/rp91.pdf [301 Moved Permanently]--> http://www.uts.edu.au/node/51831 [301 Moved Permanently]--> https://www.uts.edu.au/node/51831)

Related works:
Journal Article: A Structure for General and Specific Market Risk (2003) Downloads
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:uts:rpaper:91

Access Statistics for this paper

More papers in Research Paper Series from Quantitative Finance Research Centre, University of Technology, Sydney PO Box 123, Broadway, NSW 2007, Australia. Contact information at EDIRC.
Bibliographic data for series maintained by Duncan Ford ().

 
Page updated 2025-04-02
Handle: RePEc:uts:rpaper:91