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Geometry of Financial Markets -- Towards Information Theory Model of Markets

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  • Edward W. Piotrowski
  • Jan Sladkowski

Abstract

Most of parameters used to describe states and dynamics of financial market depend on proportions of the appropriate variables rather than on their actual values. Therefore, projective geometry seems to be the correct language to describe the theater of financial activities. We suppose that the object of interest of agents, called here baskets, form a vector space over the reals. A portfolio is defined as an equivalence class of baskets containing assets in the same proportions. Therefore portfolios form a projective space. Cross ratios, being invariants of projective maps, form key structures in the proposed model. Quotation with respect to an asset X (i.e. in units of X) are given by linear maps. Among various types of metrics that have financial interpretation, the min-max metrics on the space of quotations can be introduced. This metrics has an interesting interpretation in terms of rates of return. It can be generalized so that to incorporate a new numerical parameter (called temperature) that describes agent's lack of knowledge about the state of the market. In a dual way, a metrics on the space of market quotation is defined. In addition, one can define an interesting metric structure on the space of portfolios/quotation that is invariant with respect to hyperbolic (Lorentz) symmetries of the space of portfolios. The introduced formalism opens new interesting and possibly fruitful fields of research.

Suggested Citation

  • Edward W. Piotrowski & Jan Sladkowski, 2006. "Geometry of Financial Markets -- Towards Information Theory Model of Markets," Papers physics/0607236, arXiv.org.
  • Handle: RePEc:arx:papers:physics/0607236
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    References listed on IDEAS

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    1. E. W. Piotrowski & M. Schroeder, 2007. "Kelly criterion revisited: optimal bets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 57(2), pages 201-203, May.
    2. Zambrzycka, Anna & Piotrowski, Edward W., 2007. "The matrix rate of return," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 347-353.
    3. A. Z. Gorski & S. Drozdz & J. Kwapien & P. Oswiecimka, 2006. "Complexity characteristics of currency networks," Papers physics/0606020, arXiv.org.
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    1. Szczypińska, Anna & Piotrowski, Edward W., 2009. "Inconsistency of the judgment matrix in the AHP method and the decision maker’s knowledge," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(6), pages 907-915.
    2. Marcin Makowski & Edward W. Piotrowski & Piotr Frk{a}ckiewicz & Marek Szopa, 2022. "Transactional Interpretation for the Principle of Minimum Fisher Information," Papers 2203.12607, arXiv.org.
    3. F. Bagarello & E. Haven, 2014. "Towards a formalization of a two traders market with information exchange," Papers 1412.8725, arXiv.org.
    4. Szczypińska, Anna & Piotrowski, Edward W., 2008. "Projective market model approach to AHP decision making," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3982-3986.
    5. E. W. Piotrowski & M. Schroeder, 2007. "Kelly criterion revisited: optimal bets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 57(2), pages 201-203, May.
    6. Edward W. Piotrowski & Jerzy Luczka, "undated". "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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