Insights on the Statistics and Market Behavior of Frequent Batch Auctions

Autor: Thiago W. Alves, Ionuţ Florescu, Dragoş Bozdog
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Mathematics, Vol 11, Iss 5, p 1223 (2023)
Druh dokumentu: article
ISSN: 2227-7390
DOI: 10.3390/math11051223
Popis: This paper extends previous research performed with the SHIFT financial market simulation platform. In our previous work, we show how this order-driven, distributed asynchronous, and multi-asset simulated environment is capable of reproducing known stylized facts of real continuous double auction financial markets. Using the platform, we study a pricing mechanism based on frequent batch auctions (FBA) proposed by a group of researchers from University of Chicago. We demonstrate our simulator’s capability as an environment to experiment with potential rule changes. We present the first side-by-side comparison of frequent batch auctions with a continuous double auction. We show that FBA is superior in terms of market quality measures but we also discover a potential problem in the technical implementation of FBA.
Databáze: Directory of Open Access Journals
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