The Law and Ethics of High-Frequency Trading
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Ethics in Financial Markets
Chapter Five Ethics in Financial Markets Anything that can be owned can be traded, and if trading in something is frequent, a market probably exists for that purpose. This holds true not only for commodities and valuable objects, such as pork bellies and French Impres- sionist paintings, but also for financial instruments of all kinds. However, unlike pork bellies, which can be carved up and packaged only in limited ways, financial instruments can take a wide variety of forms for trade in many dif- ferent markets. With puts and calls, swaps and strips, and a host of other colorfully named instruments, the possibilities for trading in financial markets are limited only by human inventiveness and the constraints of law—which may often be gotten around with even more inventiveness. The broad aim of financial market regulation is to secure “fair and orderly markets” or “just and equitable principles of trade.” These expressions, which are standard in securities law and market rules, combine the economic value of efficiency with an ethical concern for fairness or equity, thereby giving rise to the familiar equity/efficiency trade-off. When applied to markets, the concepts of fairness, justice, and equity (which are roughly synonyms) serve mainly to forbid fraud and manipulation, the violation of certain rights, and the exploitation of asymmetries in such matters as information and bargaining power. Prohibitions of unfair market practices are designed to protect both market participants and the integrity of markets themselves, which cannot function properly when they lack fairness. In addition to an examination of what constitutes fairness in markets, this chapter examines three specific areas where unfairness is often alleged. -
I Mercati Veloci: Il Trading Ad Alta Frequenza
Corso di Laurea Magistrale in Economia e Finanza (Ordinamento ex D.M. 270/2004) Tesi di Laurea Magistrale I Mercati veloci: il Trading ad Alta Frequenza Relatore Ch. Prof. Marcella LUCCHETTA Correlatore Ch. Prof. Antonio PARADISO Laureando Francesco CARUZZO Matricola 842173 Anno Accademico 2016 / 2017 INDICE INTRODUZIONE…………………………………………………………...…………………4 CAPITOLO I EVOLUZIONE DEL TRADING ELETTRONICO 1.1 Evoluzione storica ed informatizzazione del Trading…………………….……………6 1.2 Drivers dello sviluppo del AT/HFT………………………………………….…………...8 1.3 Flash Crash: 6 Maggio 2010………………………………………………...…………….12 CAPITOLO II HIGH FREQUENCY TRADING: DEFINIZIONI E CONCETTI CONNESSI 2.1 Trading algoritmico……………………………………………...………………………..14 2.2 High Frequency Trading………………………………………..………………………..16 2.3 Concetti connessi……………………………………………………….…………………20 2.2.1 Market making…………………………………………………..…………………20 2.2.2 Quantitative Portfolio Management (QPM)…………………………………….21 2.2.3 Smart Order Routing (SOR)………………………………………………………23 CAPITOLO III STRATEGIE HIGH FREQUENCY TRADING 3.1 Strategie passive……………………………………………………………….………….26 3.2 Strategie aggressive……………………………………………………………….………33 3.2.1 Politiche riguardanti le strategie HF aggressive……………………….……….38 2 CAPITOLO IV IMPATTI POSITIVI E POSSIBILI EFFETTI NEGATIVI DEL HIGH FREQUENCY TRADING 4.1 Impatti positivi del Trading ad Alta Frequenza…………………………….…………42 4.2 Impatti negativi del Trading ad Alta Frequenza………………………………………47 CAPITOLO V TREND E PROFITTABILITA’ DEL TRADING AD ALTA FREQUENZA 5.1 Order to Trade Ratio (OTR)…………………………………………………...…………57 -
The Flash Crash of May 2010: Accident Or Market Manipulation? Chris Rose, Capella University, USA
Journal of Business & Economics Research – January, 2011 Volume 9, Number 1 The Flash Crash Of May 2010: Accident Or Market Manipulation? Chris Rose, Capella University, USA ABSTRACT On May 6th., 2010, the Dow fell about a thousand points in a half hour and Wall Street lost $800 billion of value. Some claim that it was just an isolated incident and there was nothing nefarious but with the majority of trading being done by electronic exchanges and with the increase in High Frequency Trading, evidence is emerging that the crash just might have been a case of deliberate manipulations of the market. Keywords: Flash crash; market manipulation; SEC; NYSE BACKGOUND tock markets today are very different from the first organized stock exchange, which was created in 1792 at Wall Street, New York. There a small group of financial leaders signed an agreement on fees, rules and S regulations that would apply in transactions. Every day securities were auctioned and the seller paid a commission on each stock or bond sold. These trades took place in a free and open market where willing buyers and sellers assembled and freely exchanged goods, services and information. Since 1998, the Securities and Exchange Commission (SEC) authorized the formation of electronic exchanges, so that anyone with a computer can compete within established markets such as the New York Stock Exchange (NYSE). About 97% of NYSE trades today are executed by computers on electronic communication networks (ECNs) which in the last decade have quickly replaced traders, trading on floors as the main global venue for buying and selling every asset, derivative, and contract (Stokes, 2009). -
UNITED STATES DISTRICT COURT SOUTHERN DISTRICT of NEW YORK X CITY of PROVIDENCE, RHODE ISLAND, Individually and on Behalf of Al
UNITED STATES DISTRICT COURT SOUTHERN DISTRICT OF NEW YORK x CITY OF PROVIDENCE, RHODE ISLAND, : Civil Action No. Individually and on Behalf of All Others Similarly: Situated, : CLASS ACTION : Plaintiff, : COMPLAINT FOR VIOLATION OF THE : FEDERAL SECURITIES LAWS vs. : : BATS GLOBAL MARKETS, INC., BOX : OPTIONS EXCHANGE LLC, CHICAGO : BOARD OPTIONS EXCHANGE, INC., : CHICAGO STOCK EXCHANGE, INC., C2 : OPTIONS EXCHANGE, INC., DIRECT EDGE : ECN, LLC, INTERNATIONAL SECURITIES : EXCHANGE HOLDINGS, INC., THE NASDAQ : STOCK MARKET LLC, NASDAQ OMX BX, : INC., NASDAQ OMX PHLX, LLC, NATIONAL : STOCK EXCHANGE, INC., NEW YORK : STOCK EXCHANGE, LLC, NYSE ARCA, : INC., ONECHICAGO, LLC, BANK OF : AMERICA CORPORATION, BARCLAYS PLC, : CITIGROUP INC., CREDIT SUISSE GROUP : AG, DEUTSCHE BANK AG, THE GOLDMAN : SACHS GROUP, INC., JPMORGAN CHASE & : CO., MORGAN STANLEY & CO. LLC, UBS : AG, THE CHARLES SCHWAB : CORPORATION, E*TRADE FINANCIAL : CORPORATION, FMR, LLC, FIDELITY : BROKERAGE SERVICES, LLC, SCOTTRADE : FINANCIAL SERVICES, INC., TD : AMERITRADE HOLDING CORPORATION, : CITADEL LLC, DRW HOLDINGS, LLC, GTS : SECURITIES, LLC, HUDSON RIVER : TRADING LLC, JUMP TRADING, LLC, KCG : HOLDINGS, INC., QUANTLAB FINANCIAL : LLC, TOWER RESEARCH CAPITAL LLC, : TRADEBOT SYSTEMS, INC., TRADEWORX : INC., VIRTU FINANCIAL INC. and CHOPPER : TRADING, LLC, : : Defendants. : x DEMAND FOR JURY TRIAL SUMMARY OF THE COMPLAINT 1. This securities class action is brought on behalf of public investors who purchased and/or sold shares of stock in the United States between April 18, 2009 and the present (the “Class Period”) on a registered public stock exchange (the “Exchange Defendants”) or a United States- based alternate trading venue and were injured as a result of the misconduct detailed herein (the “Plaintiff Class”). 2. -
Dark Pools and High Frequency Trading for Dummies
Dark Pools & High Frequency Trading by Jay Vaananen Dark Pools & High Frequency Trading For Dummies® Published by: John Wiley & Sons, Ltd., The Atrium, Southern Gate, Chichester, www.wiley.com This edition first published 2015 © 2015 John Wiley & Sons, Ltd, Chichester, West Sussex. Registered office John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, United Kingdom For details of our global editorial offices, for customer services and for information about how to apply for permission to reuse the copyright material in this book please see our website at www.wiley.com. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or trans- mitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by the UK Copyright, Designs and Patents Act 1988, without the prior permission of the publisher. Wiley publishes in a variety of print and electronic formats and by print-on-demand. Some material included with standard print versions of this book may not be included in e-books or in print-on-demand. If this book refers to media such as a CD or DVD that is not included in the version you purchased, you may download this material at http://booksupport.wiley.com. For more information about Wiley products, visit www.wiley.com. Designations used by companies to distinguish their products are often claimed as trademarks. All brand names and product names used in this book are trade names, service marks, trademarks or registered trademarks of their respective owners. The publisher is not associated with any product or vendor men- tioned in this book. -
Informational Inequality: How High Frequency Traders Use Premier Access to Information to Prey on Institutional Investors
INFORMATIONAL INEQUALITY: HOW HIGH FREQUENCY TRADERS USE PREMIER ACCESS TO INFORMATION TO PREY ON INSTITUTIONAL INVESTORS † JACOB ADRIAN ABSTRACT In recent months, Wall Street has been whipped into a frenzy following the March 31st release of Michael Lewis’ book “Flash Boys.” In the book, Lewis characterizes the stock market as being rigged, which has institutional investors and outside observers alike demanding some sort of SEC action. The vast majority of this criticism is aimed at high-frequency traders, who use complex computer algorithms to execute trades several times faster than the blink of an eye. One of the many complaints against high-frequency traders is over parasitic trading practices, such as front-running. Front-running, in the era of high-frequency trading, is best defined as using the knowledge of a large impending trade to take a favorable position in the market before that trade is executed. Put simply, these traders are able to jump in front of a trade before it can be completed. This Note explains how high-frequency traders are able to front- run trades using superior access to information, and examines several proposed SEC responses. INTRODUCTION If asked to envision what trading looks like on the New York Stock Exchange, most people who do not follow the U.S. securities market would likely picture a bunch of brokers standing around on the trading floor, yelling and waving pieces of paper in the air. Ten years ago they would have been absolutely right, but the stock market has undergone radical changes in the last decade. It has shifted from one dominated by manual trading at a physical location to a vast network of interconnected and automated trading systems.1 Technological advances that simplified how orders are generated, routed, and executed have fostered the changes in market † J.D. -
Modelling and Mitigation of Flash Crashes
Munich Personal RePEc Archive Modelling and mitigation of Flash Crashes Fry, John and Serbera, Jean-Philippe School of Computing Mathematics and Digital Technology, Manchester Metropolitan University, Sheffield Business School, Sheffield Hallam University 12 September 2017 Online at https://mpra.ub.uni-muenchen.de/82457/ MPRA Paper No. 82457, posted 08 Nov 2017 22:35 UTC Modelling and mitigation of Flash Crashes September 2017 Abstract The algorithmic trading revolution has had a dramatic effect upon markets. Trading has become faster, and in some ways more efficient, though potentially at the cost higher volatility and increased uncertainty. Stories of predatory trading and flash crashes constitute a new financial reality. Worryingly, highly capitalised stocks may be particularly vulnerable to flash crashes. Amid fears of high-risk technology failures in the global financial system we develop a model for flash crashes. Though associated with extreme forms of illiquidity and market concentration flash crashes appear to be unpredictable in advance. Several measures may mitigate flash crash risk such as reducing the market impact of individual trades and limiting the profitability of high-frequency and predatory trading strategies. JEL Classification: C1 F3 G1 K2 Keywords: Flash Crashes; Flash Rallies; Econophysics; Regulation 1 Introduction Algorithmic Trading (AT) incorporates a range of high speed and predatory strategies termed Flash Trading Strategies by Lewis (2014) in recognition of the sheer speed involved – orders of magnitude faster than the blink of a human eye. Searching for a competitive edge the need for speed even led to the construction of new optic fibre tunnels to shorten the network distance between New York and Chicago to save crucial milliseconds. -
Tempest in a Teapot: Michael Lewis' Flash Boys Solve a Problem That Is Ba
Tempest in a Teapot: Michael Lewis’ Flash Boys Solve a Problem that is Barely There By Laurence B. Siegel April 29, 2014 Michael Lewis is the finest writer in a generation to turn his attention to the practice of finance, but in Flash Boys: A Wall Street Revolt — his account of high-frequency trading (HFT) and of a likeable trader who found a way to beat it — he is a few steps off base. Flash Boys is a terrific read, with dashing heroes and dastardly villains. But life isn’t like that, and HFT is neither good nor evil. It’s a new way of profiting froM the trading activity of buyers and sellers of equities. It either raises or lowers total transaction costs by a sMall amount, but we have no way of knowing which. Lewis is convinced that HFT is evil and needs to be stopped. In contrast, I believe in evaluating business practices using data about their costs, benefits and unintended consequences and letting those practices be unless they are clearly dishonest and harMful. Applying those criteria to HFT, I aM not convinced of its harM. Of course, it is entirely proper that we should look for ways to trade against HFT and keep soMe of the profit for our clients and for ourselves. That is exactly what Brad KatsuyaMa, Lewis’ hero, did, and he should be coMMended for his work. Flash Boys did teach me a lot about modern market institutions, which are so new and coMplex that Most people don’t understand theM at all. -
Mr. Brad Katsuyama
Testimony of Investors Exchange Chief Executive Officer Bradley Katsuyama Before the U.S. House of Representatives Committee on Financial Services Subcommittee on Capital Markets, Securities, and Investment June 27, 2017 Introduction Chairman Huizenga, Ranking Member Maloney and members of the Subcommittee, my name is Brad Katsuyama and I am the CEO of IEX Group, Inc. and Investors Exchange LLC, more commonly known as “IEX”. I appreciate the opportunity to offer this testimony and also appreciate your willingness to provide a forum to consider ways to strengthen the U.S. equity markets. The U.S. equity markets constitute a critical national asset. They provide a vital source of capital for companies, large and small, and they provide the chance for millions of ordinary Americans to help fund and participate in the benefits of economic growth. From my perspective, the question we should always consider is whether the markets are primarily focused on serving the interests of investors and public companies, and the value of any agenda items should be determined based on whether they advance or detract from this primary focus. If the equity markets are not adequately serving these constituents and advancing the principles of fairness, transparency, and trust, then action must be taken to re-focus the markets on these tenets. Technology has been the largest driver of change in the equity markets over the past two decades, as I will detail later. As trading has become highly electronic, technology has delivered a variety of efficiencies and -
Using the Market to Manage Proprietary Algorithmic Trading HOLLY A
Source: Hester Peirce and Benjamin Klutsey, eds., Reframing Financial Regulation: Enhancing Stability and Protecting Consumers. Arlington, VA: Mercatus Center at George Mason University, 2016. CHAPTER 10 Using the Market to Manage Proprietary Algorithmic Trading HOLLY A. BELL University of Alaska Anchorage ven before Michael Lewis1 published his popu lar and controver- sial2 book on high- frequency trading (HFT), traditional traders and regulators wer e asking what they should do about this new evolution Ein financial market trading technology in which traders use algorithms— computerized trading programs—to automatically trade securities in finan- cial markets. But what exactly about high- frequency trading do traders and regulators wish to see controlled, and can th ese issues be regulated away? Or are there better, more market- based solutions to address the issues associated with evolving market technology? The intent of this chapter is to broadly discuss categories of concerns about algorithmic and, more specifically, proprietary algorithmic trading based on issues regulators and legislators themselves have given as rationale for market intervention, but not to explore in detail every pos si ble issue that might be raised. The chapter defines algorithmic and proprietary trading and describes how the technology and regulatory environments have gotten us to to day’s financial market structure. I pres ent some of the broad concerns algorithmic trading technologies have created for regulators, legislators, the public, and other stakeholders, -
Sunshine Trading: Flashes of Trading Intent at the NASDAQ*
Sunshine trading: Flashes of trading intent at the NASDAQ* Johannes A. Skjeltorp Norges Bank Elvira Sojli Erasmus University and Duisenberg School of Finance Wing Wah Tham Erasmus University December 15, 2011 Abstract We use the introduction and the subsequent removal of the flash order facility (an ac- tionable indication of interest, IOI) from Nasdaq as a natural experiment to investigate the impact of voluntary disclosure of trading intent on market quality. We find that flash or- ders significantly improve liquidity in Nasdaq. In addition overall market quality improves substantially when the flash functionality is introduced and deteriorates when it is removed. One explanation for our findings is that flash orders are placed by less informed traders and fulfil their role as advertisement of uninformed liquidity needs. They successfully attract re- sponses from liquidity providers immediately after the announcement is placed, thus lowering the risk bearing cost for the overall market. Our study is important in understanding the impact of voluntary disclosure, in guiding future market design choices, and in the current debate on dark pools and IOIs. Keywords: Actionable Indication of Interest (IOI); Flash orders; High-frequency Trading; Market quality; Market transparency; Sunshine trading. JEL Classification: G10; G20; G14. *The authors thank Mark van Achter, Yakov Amihud, Sabrina Buti, Christian Ewerhart, Thierry Foucault, Michael Goldstein, Jennifer Koski, Albert Menkveld, Erik Sirri, Jeff Smith, Bernt-Arne Ødegaard, and participants at the European Finance Association Meeting 2011, 6th Annual Central Bank Workshop on the Microstructure of Financial Markets, the 4th Erasmus Liquidity Conference, Infiniti Conference 2010, and seminars in Vrije Univer- siteit Amsterdam, Babson College, and Nasdaq for useful comments and suggestions. -
Paradigm Shifts & Unintended Consequences
FIU Law Review Volume 8 Number 1 Article 15 Fall 2012 Paradigm Shifts & Unintended Consequences: The Death of the Specialist, the Rise of High Frequency Trading, & the Problem of Duty-Free Liquidity in Equity Markets Jennifer Victoria Christine Dean Follow this and additional works at: https://ecollections.law.fiu.edu/lawreview Part of the Other Law Commons Online ISSN: 2643-7759 Recommended Citation Jennifer V. Dean, Paradigm Shifts & Unintended Consequences: The Death of the Specialist, the Rise of High Frequency Trading, & the Problem of Duty-Free Liquidity in Equity Markets, 8 FIU L. Rev. 217 (2012). DOI: https://dx.doi.org/10.25148/lawrev.8.1.15 This Article is brought to you for free and open access by eCollections. It has been accepted for inclusion in FIU Law Review by an authorized editor of eCollections. For more information, please contact [email protected]. Paradigm Shifts & Unintended Consequences: The Death of the Specialist, the Rise of High Frequency Trading, & the Problem of Duty-Free Liquidity in Equity Markets Jennifer Victoria Christine Dean* I. INTRODUCTION Every business day, hundreds of thousands of people turn on their televisions to watch CNBC.1 Millions more tune in to listen to Bloomberg radio.2 Thousands of men and women get home from work and open brokerage statements received in the day’s mail. These people have one thing in common: they want to know what is happening with the money. The stock market is more than just a place where people buy and sell stocks; the health of the stock market (more specifically the health of the stock marketplace) is both an indi- cator of, and a substantial factor in, the health of the worldwide econ- omy.3 The stock market is more than just some abstraction on the news; it is to financial capitalism what the circulatory system is to the * Jennifer Victoria Christine Dean, J.D., Florida International University College of Law, 2012; B.A., New York University, Gallatin School of Individualized Study, 2002; M.N.M., Florida Atlantic University, 2009.