The Impact of Arbitrage Between Stock Markets With and Without Maker–Taker Fees Using an Agent-Based Simulation

IF 2 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE New Generation Computing Pub Date : 2024-02-10 DOI:10.1007/s00354-023-00239-w
Xin Guan, Mahiro Hoshino, Takanobu Mizuta, Isao Yagi
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Abstract

An increasing number of exchanges, mainly in the U.S., have adopted a commission structure called maker–taker fees in which traders placing limit orders (makers) are paid a rebate (negative trading commission) and traders placing market orders (takers) are charged a trading fee. The reason is that by paying rebates to makers, exchanges can expect to receive a large number of maker’s orders and gain market share. Makers include arbitrageurs who make large transactions. Maker–taker fees constitute one of the most important commission structures for exchanges, because they are expected to attract arbitrageurs who are looking for rebate profits, on top of their trading profits. There have been many studies about arbitrage trading, but none we could find focused on the impact of arbitrage trading between markets with maker–taker fees where arbitrage traders place limit orders and markets without maker–taker fees where they place market orders. In this study, we investigated volatility and market liquidity by changing the amount of rebate under our proposed artificial markets, where there are or are not maker–taker fees. Then we checked the performance of arbitrage trading when the rebate increased. The results were that volatility in the market with maker–taker fees decreased and that in the market without maker–taker fees increased, and that market liquidity and arbitrage performance both increased in the market with maker–taker fees when rebates increased. The above results indicate that exchanges that operate markets adopting maker–taker fees can provide investors with more attractive markets than those that do not adopt them. However, if more arbitrageurs participate in the market with maker–taker fees to take advantage of these rebates, the cost burden on exchanges may increase unnecessarily.

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利用基于代理的仿真分析有做市商费用和无做市商费用的股票市场之间套利的影响
越来越多的交易所,主要是美国的交易所,采用了一种称为 "做市商--承销商费用 "的佣金结构,向下达限价订单的交易商(做市商)支付回扣(负交易佣金),向下达市价订单的交易商(承销商)收取交易费用。原因是,通过向做市商支付回扣,交易所可望收到大量做市商订单并获得市场份额。做市商包括进行大额交易的套利者。做市商费用是交易所最重要的佣金结构之一,因为它们有望吸引套利者,这些套利者希望在交易利润之外获得回扣利润。关于套利交易的研究有很多,但我们没有发现任何一项研究是关于套利交易者在有做市商费用的市场下限价订单和在没有做市商费用的市场下市价订单之间进行套利交易的影响。在本研究中,我们通过改变我们提出的人工市场(有或没有做市商费用)下的回扣金额来研究波动性和市场流动性。然后,我们检验了当回扣增加时套利交易的表现。结果表明,有做市商费用的市场波动性下降,无做市商费用的市场波动性上升;在有做市商费用的市场,当回扣增加时,市场流动性和套利绩效都有所提高。上述结果表明,与不采用做市商收费的市场相比,采用做市商收费的市场能够为投资者提供更具吸引力的市场。然而,如果有更多套利者参与收取做市商费用的市场以利用这些回扣,交易所的成本负担可能会不必要地增加。
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来源期刊
New Generation Computing
New Generation Computing 工程技术-计算机:理论方法
CiteScore
5.90
自引率
15.40%
发文量
47
审稿时长
>12 weeks
期刊介绍: The journal is specially intended to support the development of new computational and cognitive paradigms stemming from the cross-fertilization of various research fields. These fields include, but are not limited to, programming (logic, constraint, functional, object-oriented), distributed/parallel computing, knowledge-based systems, agent-oriented systems, and cognitive aspects of human embodied knowledge. It also encourages theoretical and/or practical papers concerning all types of learning, knowledge discovery, evolutionary mechanisms, human cognition and learning, and emergent systems that can lead to key technologies enabling us to build more complex and intelligent systems. The editorial board hopes that New Generation Computing will work as a catalyst among active researchers with broad interests by ensuring a smooth publication process.
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