对虚假订单征税:信息强制税如何减少金融产品市场的操纵和扭曲

IF 0.2 4区 社会学 Q4 LAW
I. Beylin
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引用次数: 0

摘要

在一个行为受到私人秩序显著影响的社会中,他人的榜样是有意义的。行为,无论表现在行为者身上,都是用来通知和指导观察者的。此外,行为者的意图很难评估。这些观察结果在金融工具交易的背景下更为真实,金融工具交易在很大程度上是通过复杂的匿名算法决定的,并用于指导远远超出市场参与者对买入或卖出指令做出反应的参与者。《多德-弗兰克法案》(Dodd Frank Act)已经认识到,通过下达订单然后取消订单来误导客户的可能性,该法案对有意取消订单的交易员(或“欺骗者”)施加了惩罚。虚假的订单流可能危及市场并操纵价格,因为交易员会谨慎地观察扭曲的订单量。在当今电子驱动的金融市场中,谦虚既是一种美德,也是一种恶习。谦虚既是收集分散信息的手段,也是歪曲和操纵的来源。对订单取消的监管适当地认识到,交易者可能对金融产品的明显供求变化反应过度,以及价格信息的公共品性质。然而,后多德-弗兰克(dodd - frank)体制严重不足。只惩罚有意取消订单的行为既不够包容,也过于包容。意外的订单取消不仅仅是可能的,而是代表了当前市场动态中的绝大多数订单。非有意取消订单对价格信号的污染不亚于有意取消订单。在过于包容的方面,一致的出价和要约取消率是可预测的,因此不应显著扭曲价格。因此,稳定的订单取消率不应该受到惩罚,即使是故意的。此外,意图的先决条件导致了执行的倒退,执行成本高,执行不足。最后,监管制度(和文献)忽视了人为沉默的成本,而只关注过度的噪音。没有采取任何措施来阻止订单的过度短缺。这篇文章解释了如何通过一种与交易者的买盘或卖盘取消净数量呈超线性增长的税收来解决这些最初试图承认有效订单的社会成本的缺陷。对过度取消税收的意图不可知税将避免当前制度的过度和不足,以及其费用和递减后果。当市场参与者暂时退出交易时,税收所得可用于补贴订单。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Taxing Fictive Orders: How an Information Forcing Tax Can Reduce Manipulation and Distortion in Financial Product Markets
In a society where behavior is significantly influenced through private ordering, the example of others is meaningful. Actions, whatever they manifest on the part of the actor, serve to inform and direct observers. Furthermore, the intent of actors is difficult to assess. These observations are only more true in the context of financial instrument trading, which is largely determined through complex, anonymous algorithms and serves to guide actors far beyond the market participants responding to orders to buy or sell. The potential for misdirection through entering and then cancelling orders has been recognized by the Dodd Frank Act, which imposes penalties on traders that place an order with intent to cancel it (or "spoofers"). Fictive order flow can endanger markets and manipulate prices due to the modesty of traders observing distorted order volumes. Modesty in today's electronically driven financial markets is both a virtue and a vice. Modesty is both a means for impounding dispersed information and the source of distortion and manipulation.Policing order cancellations properly recognizes the potential for traders to over-react to changes in manifest supply and demand for a financial product and the public good nature of price information. The post-Dodd-Frank regime, however, is grossly inadequate. Punishing only intentional order cancellations is both under- and over-inclusive. Un-intended order cancellations are not simply likely, but represent the great majority of orders in status quo market dynamics. And un-intended order cancellations pollute the price signal no less than premeditated cancellations. On the over-inclusive side, consistent rates of bid- and offer-cancellations are predictable and thus should not significantly distort prices. Thus steady rates of order cancellation should not be penalized, even if intentional. Furthermore, the pre-requisite of intent results in regressive enforcement, high enforcement costs, and gross under-enforcement. Finally, the regulatory regime (and the literature) neglect the costs of artificial silence and focus only on excessive noise. Nothing is being done to deter excessive dearths of orders.This article explains how these flaws of the initial thrust to recognize the social costs of fictive orders should be addressed through a tax that ratchets super-linearly with a trader's net number of bid or offer cancellations. An intent-agnostic tax on excessive cancellations would avoid the over- and under-inclusion of the present regime as well as its expense and regressive consequences. Proceeds from the tax can be used to subsidize orders when market participants temporarily withdraw from trading.
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来源期刊
自引率
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发文量
35
期刊介绍: The University of Cincinnati Law Review is a quarterly publication produced by second and third-year law students. The Review, along with its counterparts at all other accredited law schools, makes a significant contribution to scholarly legal literature. In addition, the Review represents the College of Law to the outside community. Each year, approximately 30 students are invited to join the Law Review as Associate Members. All Associate Members are chosen on the basis of first year grade point average combined with a writing competition score. The competition begins immediately after completion of first year studies.
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