A Direct Test of the Mixture of Distributions Hypothesis: Measuring the Information Flow Throughout the Day
AbstractThis paper proposes and conducts direct tests of the mixture of distributions model for stock prices. By exploiting the model’s bivariate conditional normality of price changes and trading volume, these restrictions can be tested under very weak assumptions regarding the daily flow of information to the market. As a technical byproduct, important parameters governing the distribution of this unobservable information flow are estimated.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
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.
Bibliographic InfoPaper provided by Wharton School Rodney L. White Center for Financial Research in its series Rodney L. White Center for Financial Research Working Papers with number 17-92.
Date of creation:
Date of revision:
Contact details of provider:
Postal: 3254 Steinberg Hall-Dietrich Hall, Philadelphia, PA 19104-6367
Phone: (215) 898-7616
Fax: (215) 573-8084
Web page: http://finance.wharton.upenn.edu/~rlwctr/
More information through EDIRC
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel).
If references are entirely missing, you can add them using this form.