一个Maker-Taker收费模型与准自然实验证据

Yiping Lin, P. Swan, F. Harris
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引用次数: 2

摘要

考虑到RegNMS规则611的设计排除了费用冲刷,我们将内生信息获取引入到具有访问费用和连续定价的限价订单的非对称信息模型中。知情的交易者最优地调整了知情交易的可能性,以匹配费用结构,尽管有相反的说法,但法律法规无法冲销。我们使用纳斯达克1.9万亿美元的“准自然”实验来测试这一含义,该实验单边降低了制造商收取的费用/回扣。我们发现,由于信息内容的恶化,导致福利损失和平台价格效率的恶化,收费价差缩小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Model of Maker-Taker Fees and Quasi-Natural Experimental Evidence
In recognition of the design of Rule 611 of RegNMS that precludes fee washout, we introduce endogenous information acquisition into an asymmetric information model of the limit order book with access fees and continuous pricing. Informed traders optimally adjust the likelihood of an informed trade to match fee structures which by legal fiat cannot washout despite claims to the contrary. We test this implication using NASDAQ’s ‘quasi-natural’ 1.9 trillion-dollar experiment with a unilateral maker-taker fee/rebate reduction. We show that the cum take-fee spread narrows due to a deterioration in informational content resulting in welfare loss and worsening of platform price efficiency.
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