Effectiveness of Maker-Taker Fees to Total Trading Costs and Market Liquidity Using an Agent-based Model
Author:
Affiliation:
1. Information and Computer Sciences, Graduate School of Kanagawa Institute of Technology
2. SPARX Asset Management Co., Ltd.
3. Department of Information Systems and Applied Mathematics, Faculty of Informatics, Kogakuin University
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
https://www.jstage.jst.go.jp/article/tjsai/36/5/36_36-5_AG21-G/_pdf
Reference23 articles.
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2. [CFTC-SEC 11] CFTC-SEC: Recommendations Regarding Regulatory Responses to the Market Events of May 6, 2010, Technical report, CFTC-SEC Joint Advisory Committee (2011)
3. [Chen 12] Chen, S.-H., Chang, C.-L., and Du, Y.-R.: Agent-based economic models and econometrics,The Knowledge Engineering Review, Vol. 27, No. 2, pp. 187–219 (2012)
4. [Chiarella 09] Chiarella, C., Iori, G., and Perell ́o, J.: The impact of heterogeneous trading rules on the limit order book and order flows, Journal of Economic Dynamics and Control, Vol. 33, No. 3, pp. 525–537 (2009)
5. [Cont 01] Cont, R.: Empirical properties of asset returns: Stylizedfacts and statistical issues, Quantitative Finance, Vol. 1, pp. 223–236(2001)
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1. Investigation into effectiveness of maker-taker fees in stock markets using artificial market;SSRN Electronic Journal;2022
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