Asset Return Volatility, High-Frequency Data, and the New Financial Econometrics
With an eye toward financial asset pricing, asset allocation, and risk management, I review and interpret the rapidly-growing literature on modeling and forecasting realized volatility constructed from high-frequency returns. I discuss a variety of applications and extensions, including recent work on realized betas, and methods for disentangling the continuous and jump components of total return variability in stock, bond and foreign exchange markets.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||11 Aug 2004|
|Contact details of provider:|| Phone: 1 212 998 3820|
Fax: 1 212 995 4487
Web page: http://www.econometricsociety.org/pastmeetings.asp
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:ecm:ausm04:352. 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: (Christopher F. Baum)
If references are entirely missing, you can add them using this form.