Microscopic models for long ranged volatility correlations
We propose a general interpretation for long-range correlation effects in the activity and volatility of financial markets. This interpretation is based on the fact that the choice between `active' and `inactive' strategies is subordinated to random-walk like processes. We numerically demonstrate our scenario in the framework of simplified market models, such as the Minority Game model with an inactive strategy, or a more sophisticated version that includes some price dynamics. We show that real market data can be surprisingly well accounted for by these simple models.
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:||Jan 2001|
|Date of revision:|
|Publication status:||Published in Physica A 299 (1-2) (2001) pp. 28-39.|
|Contact details of provider:|| Postal: 6 boulevard Haussmann, 75009 Paris, FRANCE|
Web page: http://www.science-finance.fr/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:sfi:sfiwpa:500024. 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 references are entirely missing, you can add them using this form.