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On Using Proportional Representation Methods as Alternatives to Pro-rata Based Order Matching Algorithms in Stock Exchanges

Author

Listed:
  • Sanjay Bhattacherjee

    (University of Kent)

  • Palash Sarkar

    (Indian Statistical Institute)

Abstract

The first observation of the paper is that methods for determining proportional representation in electoral systems may be suitable as alternatives to the pro-rata order matching algorithm used in stock exchanges. The main part of our work is to comprehensively consider various well known proportional representation methods and analyse in details their suitability for replacing the pro-rata algorithm. Our analysis consists of a theoretical study as well as simulation studies based on data sampled from a distribution which has been suggested in the literature as models of limit orders. Based on our analysis, we put forward the suggestion that the well known Hamilton’s method is a superior alternative to the pro-rata algorithm for order matching applications.

Suggested Citation

  • Sanjay Bhattacherjee & Palash Sarkar, 2025. "On Using Proportional Representation Methods as Alternatives to Pro-rata Based Order Matching Algorithms in Stock Exchanges," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 1-20, January.
    • Handle: RePEc:kap:compec:v:65:y:2025:i:1:d:10.1007_s10614-024-10576-7
    DOI: 10.1007/s10614-024-10576-7
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    References listed on IDEAS

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    1. Jarosław Flis & Wojciech Słomczyński & Dariusz Stolicki, 2020. "Pot and ladle: a formula for estimating the distribution of seats under the Jefferson–D’Hondt method," Public Choice, Springer, vol. 182(1), pages 201-227, January.
    2. Carmen Herrero & Ricardo Martínez, 2008. "Balanced allocation methods for claims problems with indivisibilities," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 30(4), pages 603-617, May.
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