The Maximum-Entropy Distribution of the Future Market Price of a Stock
John M. Cozzolino and
Michael J. Zahner
Additional contact information
John M. Cozzolino: University of Pennsylvania, Philadelphia, Pennsylvania
Michael J. Zahner: Sun Services Corporation, Philadelphia, Pennsylvania
Operations Research, 1973, vol. 21, issue 6, 1200-1211
Abstract:
This paper uses the principle of maximum entropy to construct a probability distribution of future stock price for a hypothetical investor having specified expectations. The result obtained is in good agreement with observations recorded in the literature. Thus, the paper concludes that the hypothetical individual investor is representative of a large class of investors. This new derivation of the well known random-walk theory of stock-price movements leads to an improved understanding of the model parameters by relating the variance of the random-walk process to the risk aversion of the investors. A practical use of the model is proposed to help the investor form an objective opinion of his skill.
Date: 1973
References: Add references at CitEc
Citations: View citations in EconPapers (16)
Downloads: (external link)
http://dx.doi.org/10.1287/opre.21.6.1200 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:21:y:1973:i:6:p:1200-1211
Access Statistics for this article
More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().