Kelly criterion revisited: optimal bets
AbstractKelly criterion, that maximizes the expectation value of the logarithm of wealth for bookmaker bets, gives an advantage over different class of strategies. We use projective symmetries for a explanation of this fact. Kelly's approach allows for an interesting financial interpretation of the Boltzmann/Shannon entropy. A “no-go” hypothesis for big investors is suggested. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2007
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Bibliographic InfoArticle provided by Springer in its journal The European Physical Journal B.
Volume (Year): 57 (2007)
Issue (Month): 2 (05)
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Web page: http://www.springer.com/economics/journal/10051
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- Edward W. Piotrowski & Jan Sladkowski, .
"Geometry of Financial Markets - Towards Information Theory Model of Markets,"
Departmental Working Papers
26, University of Bialtystok, Department of Theoretical Physics.
- Edward W. Piotrowski & Jan Sladkowski, 2006. "Geometry of Financial Markets -- Towards Information Theory Model of Markets," Papers physics/0607236, arXiv.org.
- S. Illeris & G. Akehurst, 2001. "Introduction," The Service Industries Journal, Taylor & Francis Journals, vol. 21(1), pages 1-4, January.
- Luo, Yong & Zhu, Bo & Tang, Yong, 2014. "Simulated annealing algorithm for optimal capital growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 10-18.
- Edward W. Piotrowski & Jan Sladkowski & Anna Szczypinska, .
"Reinforcement Learning in Market Games,"
Departmental Working Papers
30, University of Bialtystok, Department of Theoretical Physics.
- Edward W. Piotrowski & Jerzy Luczka, . "The relativistic velocity addition law optimizes a forecast gambler's profit," Departmental Working Papers 31, University of Bialtystok, Department of Theoretical Physics.
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