Origins of the scaling behaviour in the dynamics of financial data
The Conditionally Exponential Decay (CED) model is used to explain the scaling laws observed in financial data. This approach enables us to identify the distributions of currency exchange rate or economic indices returns (changes) corresponding to the empirical scaling laws. This is illustrated for daily returns of the Dow Jones Industrial Average (DJIA) and the Standard & Poor’s 500 (S&P500) indices as well as for high frequency returns of the USD/DEM exchange rate.
|Date of creation:||1998|
|Date of revision:|
|Publication status:||Published in Physica A 264 (1999) 562-569.|
|Contact details of provider:|| Postal: Wybrzeze Wyspianskiego 27, 50-370 Wroclaw|
Web page: http://prac.im.pwr.wroc.pl/~hugo
More information through EDIRC
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.:
- Aleksander Janicki & Aleksander Weron, 1994. "Simulation and Chaotic Behavior of Alpha-stable Stochastic Processes," HSC Books, Hugo Steinhaus Center, Wroclaw University of Technology, number hsbook9401.
When requesting a correction, please mention this item's handle: RePEc:wuu:wpaper:hsc9801. 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: (Rafal Weron)
If references are entirely missing, you can add them using this form.