Unravelling the Trading Invariance Hypothesis

Author:

Benzaquen Michael12,Donier Jonathan1,Bouchaud Jean-Philippe13

Affiliation:

1. Capital Fund Management, 23 rue de l’Université, 75007 Paris, France

2. Ladhyx, UMR CNRS 7646, École Polytechnique, 91128 Palaiseau Cedex, France

3. Department of Mathematics, CFM-Imperial Institute of Quantitative Finance, Imperial College, 180 Queen’s Gate, London SW7 2RH, UK

Abstract

We confirm and substantially extend the recent empirical result of Andersen et al. (Andersen, T. G., O. Bondarenko, A. S. Kyle and A. A. Obizhaeva, 2015, Unpublished), where it is shown that the amount of risk [Formula: see text] exchanged in the E-mini S&P futures market (i.e., price times volume times volatility) scales like the 3/2 power of the number of trades [Formula: see text]. We show that this 3/2-law holds very precisely across 12 futures contracts and 300 single US stocks, and across a wide range of time scales. However, we find that the “trading invariant” [Formula: see text] proposed by Kyle and Obizhaeva is in fact quite different for different contracts, in particular, between futures and single stocks. Our analysis suggests [Formula: see text] as a more natural candidate, where [Formula: see text] is the average spread cost of a trade, defined as the average of the trade size times the bid–ask spread. We also establish two more complex scaling laws for the volatility [Formula: see text] and the traded volume [Formula: see text] as a function of [Formula: see text], that reveal the existence of a characteristic number of trades [Formula: see text] above which the expected behavior [Formula: see text] and [Formula: see text] hold, but below which strong deviations appear, induced by the size of the tick.

Publisher

World Scientific Pub Co Pte Lt

Subject

Ocean Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Are Asian exchanges outliers? A market quality criterion;Investment Management and Financial Innovations;2021-05-05

2. Are trading invariants really invariant? Trading costs matter;Quantitative Finance;2020-04-07

3. Universal features of price formation in financial markets: perspectives from deep learning;Quantitative Finance;2019-07-09

4. Broken Exchanges;SSRN Electronic Journal;2019

5. Are Trading Invariants Really Invariant? Trading Costs Matter;SSRN Electronic Journal;2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3