EconPapers    
Economics at your fingertips  
 

THE ENTROPIC MARKET HYPOTHESIS

Les Gulko ()
Additional contact information
Les Gulko: 287 Hamilton Avenue, #3C, Stamford, CT 06902, USA

International Journal of Theoretical and Applied Finance (IJTAF), 1999, vol. 02, issue 03, 293-329

Abstract: Information theory teaches that entropy is the fundamental limit for data compression, and electrical engineers routinely use entropy as a criterion for efficient storage and transmission of information. Since modern financial theory teaches that competitive market prices store and transmit information with some efficiency, should financial economists be concerned with entropy? This paper presents a market model in which entropy emerges endogenously as a condition for the operational efficiency of price discovery while entropy maximization emerges as a condition for the informational efficiency of market prices. The maximum-entropy formalism makes the efficient market hypothesis operational and testable. This formalism is used to establish that entropic markets admit no arbitrage and support both the Ross arbitrage pricing theory and the Black–Scholes stock option pricing model.

Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219024999000170
Access to full text is restricted to subscribers

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:wsi:ijtafx:v:02:y:1999:i:03:n:s0219024999000170

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219024999000170

Access Statistics for this article

International Journal of Theoretical and Applied Finance (IJTAF) is currently edited by L P Hughston

More articles in International Journal of Theoretical and Applied Finance (IJTAF) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:ijtafx:v:02:y:1999:i:03:n:s0219024999000170