Asset Allocation Using Extreme Value Theory
No abstract is available for this item.
|Length:||29 pages Abstract: This paper examines asset allocation strategies in an extreme value at risk (VaR) framework in which the risk measure is the p-quantile from the extreme value distribution. The main focus is on the allocation problem faced by an extremely risk-averse institution, such as a central bank. The optimal portfolio in terms of excess return over the risk-free rate per unit of risk is also described. An example of asset allocation is presented using a 1-year treasury bill and a 5-year zero-coupon bond. The allocation is conducted using different risk measures: duration, standard VaR, the quantile of the empirical distribution, and the quantile of the extreme distribution. An approximation procedure is described for the allocation of N-assets. An example of allocating eight Canadian treasuries and bonds is given (covering the whole Canadian term structure). The implications of the results on optimal allocation of capital under stressed market conditions are discussed. Some practical issues concerning the use of the results are described, such as who should allocate capital based on extreme values.|
|Date of creation:||2002|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: 613 782-8845
Fax: 613 782-8874
Web page: http://www.bank-banque-canada.ca/
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.:
- Younes Bensalah, 2000. "Steps in Applying Extreme Value Theory to Finance: A Review," Working Papers 00-20, Bank of Canada.
When requesting a correction, please mention this item's handle: RePEc:bca:bocawp:02-2. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.