High-Frequency Trading and the Flash Crash: Structural Weaknesses in the Securities Markets and Proposed Regulatory Responses Ian Poirier
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Did Spillovers from Europe Indeed Contribute to the 2010 U.S. Flash Crash?
No. 622 / January 2019 Did Spillovers From Europe Indeed Contribute to the 2010 U.S. Flash Crash? David-Jan Jansen Did Spillovers From Europe Indeed Contribute to the 2010 U.S. Flash Crash? David-Jan Jansen * * Views expressed are those of the authors and do not necessarily reflect official positions of De Nederlandsche Bank. De Nederlandsche Bank NV Working Paper No. 622 P.O. Box 98 1000 AB AMSTERDAM January 2019 The Netherlands Did Spillovers From Europe Indeed Contribute to the 2010 U.S. Flash Crash?* David-Jan Jansen a a De Nederlandsche Bank, Amsterdam, The Netherlands This version: January 2019 Abstract Using intraday data, we study spillovers from European stock markets to the U.S. in the hours before the flash crash on 6 May 2010. Many commentators have pointed to negative market sentiment and high volatility during the European trading session before the Flash Crash. However, based on a range of vector autoregressive models, we find no robust evidence that spillovers increased at that time. On the contrary, spillovers on 6 May were mostly smaller than in the preceding days, during which there was great uncertainty surrounding the Greek sovereign debt crisis. The absence of evidence for spillovers underscores the difficulties in understanding the nature of flash events in financial markets. Keywords: flash crash, spillovers, financial stability, connectedness. JEL classifications: G15, N22, N24. * This paper benefitted from discussions with Sweder van Wijnbergen as well as from research assistance by Jack Bekooij. Any errors and omissions remain my responsibility. Views expressed in the paper do not necessarily coincide with those of de Nederlandsche Bank or the Eurosystem. -
Gary Dewaal Special Counsel and Chair, Financial Markets and Regulation
Gary DeWaal Special Counsel and Chair, Financial Markets and Regulation New York Office +1.212.940.6558 [email protected] Practices Gary DeWaal brings substantial experience from both industry and government FOCUS: Financial Markets and Funds to his practice counseling clients on exchange-traded derivatives and Broker-Dealer Regulation cryptoassets. He advises a worldwide client base on transactional and Distributed Ledger Products, Services and Technology regulatory matters relating to those and other complex financial products. ESG and Sustainable Investing Gary's clients benefit from his deep well of contacts and practical knowledge Financial Markets Litigation and Enforcement from his prior work with the world's largest exchange-traded derivatives broker Futures and Derivatives and, before that, as a senior trial attorney with the Division of Enforcement at International the US Commodity Futures Trading Commission (CFTC). Investment Management and Funds Quantitative and Algorithmic Trading Tapping deep knowledge to clear regulatory hurdles Industries Gary understands the urgency that drives the financial industry. His business Finance and Financial Markets background also gives him a unique understanding of his clients' products. This Private Client Services allows him to provide fast and practical responses to clients, often consulting Education directly with business executives as opposed to legal staff. JD, The State University of New York Buffalo Law School Before joining Katten, Gary interacted with regulators worldwide as the Group MBA, The State University of New York at General Counsel of Fimat (later known as Newedge), the exchange-traded Buffalo, with honors BA, The State University of New York at derivatives and securities broker. He also served in both business and legal Stony Brook, with high honors, Phi Beta roles for Brody, White & Co., and, before that, as a senior trial attorney with the Kappa, Omicron Delta Epsilon CFTC's Division of Enforcement. -
The Flash Crash: a New Deconstruction∗
The Flash Crash: A New Deconstruction∗ Eric M. Aldrichy Joseph A. Grundfestz Department of Economics School of Law University of California, Santa Cruz Stanford University Gregory Laughlinx Department of Astronomy and Astrophysics University of California, Santa Cruz January 25, 2016 Abstract On May 6, 2010, in the span of a mere four and half minutes, the Dow Jones Industrial Average lost approximately 1,000 points. In the following fifteen minutes it recovered essentially all of its losses. This \Flash Crash" occurred in the absence of fundamental news that could explain the observed price pattern and is generally viewed as the result of endogenous factors related to the complexity of modern equity market trading. We present the first analysis of the entire order book at millisecond granularity, and not just of executed transactions, in an effort to ex- plore the causes of the Flash Crash. We also examine information flows as reflected in a variety of data feeds provided to market participants during the Flash Crash. While assertions relating to causation of the Flash Crash must be accompanied by significant disclaimers, we suggest that it is highly unlikely that, as alleged by the United States Government, Navinder Sarao's spoofing orders, even if illegal, could have caused the Flash Crash, or that the crash was a fore- seeable consequence of his spoofing activity. Instead, we find that the explanation offered by the joint CFTC-SEC Staff Report, which relies on prevailing market conditions combined with the introduction of a large equity sell order implemented in a particularly dislocating manner, is consistent with the data. -
Spoofing the Limit Order Book
Spoofing the Limit Order Book: An Agent-Based Model Xintong Wang Michael P. Wellman [email protected] [email protected] Computer Science & Engineering University of Michigan ABSTRACT to improved price discovery and efficiency, the automation We present an agent-based model of manipulating prices in and dissemination of market information may also introduce financial markets through spoofing: submitting spurious or- new possibilities of disruptive and manipulative practices in ders to mislead traders who observe the order book. Built financial markets. around the standard limit-order mechanism, our model cap- Recent years have witnessed several cases of fraud and tures a complex market environment with combined private manipulation in the financial markets, where traders made and common values, the latter represented by noisy observa- tremendous profits by deceiving investors or artificially af- fecting market beliefs. On April 21, 2015, nearly five years tions upon a dynamic fundamental time series. We consider 1 background agents following two types of trading strategies: after the “Flash Crash”, the U.S. Department of Justice zero intelligence (ZI) that ignores the order book and heuris- charged Navinder Singh Sarao with 22 criminal counts, in- tic belief learning (HBL) that exploits the order book to cluding fraud and market manipulation [3]. Prior to the predict price outcomes. By employing an empirical game- Flash Crash, Sarao allegedly used an automated program theoretic analysis to derive approximate strategic equilibria, to place orders amounting to about $200 million worth of we demonstrate the e↵ectiveness of HBL and the usefulness bets that the market would fall, and later replaced or mod- of order book information in a range of non-spoofing envi- ified those orders 19,000 times before cancellation. -
The Effectiveness of Short-Selling Bans
An Academic View: The Effectiveness of Short-Selling Bans Travis Whitmore Securities Finance Research, State Street Associates Introduction As the COVID-19 virus continues At the same time, regulators have reacted to tighten its grip on the by stiffening regulations to try and protect markets from further price declines. One such world – causing wide spread response, which is common during periods lockdowns and large-scale of financial turmoil, has been to impose disruptions to global supply chains short-selling bans. At the time of writing this, short-selling bans have been implemented in – governments, central banks, and seven countries with potentially more following regulators have been left with little suit. South Korea banned short selling in three choice but to intervene in financial markets, including its benchmark Kospi Index, markets. Central banks have for six months. As stock markets plunged across Europe in late March, Italy, Spain, already pulled out all the stops. France, Greece, and Belgium temporarily halted short selling on hundreds The US Federal Reserve slashed interest of stocks.2 rates to near zero and injected vast amounts of liquidity into the financial system with In this editorial, we discuss the impact “a $300 billion credit program for employers” of short-selling bans on markets and if it and “an open-ended commitment” of will be effective in stemming asset price quantitative easing, meaning unlimited declines resulting from the economic fallout buy back of treasuries and investment from COVID-19. To form an objective view, grade corporate debt. Governments have we review empirical findings from past started to pull on the fiscal policy lever academic studies and look to historical as well, approving expansive stimulus event studies of short-selling bans. -
Sudden Stops and Currency Crises: the Periphery in the Classical Gold Standard
Sudden Stops and Currency Crises: The Periphery in the Classical Gold Standard Luis Catão* Research Department International Monetary Fund First Draft: November 2004 Abstract While the pre-1914 gold standard is typically viewed as a successful system of fixed exchange rates, several countries in the system’s periphery experienced dramatic exchange rate adjustments. This paper relates the phenomenon to a combination of sudden stops in international capital flows with domestic financial imperfections that heightened the pro-cyclicality of the monetary transmission mechanism. It is shown that while all net capital importers during the period occasionally faced such “sudden stops”, the higher elasticity of monetary expansion to capital inflows and disincentives to reserve accumulation in a subset of these countries made them more prone to currency crashes. JEL Classification: E44, F31, F34 Keywords: Gold Standard, Exchange Rates, International Capital Flows, Currency Crises. ___________________ * Author’s address: Research Department, International Monetary Fund, 700 19th street, Washington DC 20431. Email: [email protected]. I thank George Kostelenos, Pedro Lains, Agustín Llona, Leandro Prados, Irving Stone, Gail Triner, and Jeffrey Williamson for kindly sharing with me their unpublished data. The views expressed here are the author’s alone and do not necessarily represent those of the IMF. - 2 - I. Introduction The pre-1914 gold standard is often depicted as a singularly successful international system in that it managed to reconcile parity stability among main international currencies with both rapid and differential growth across nations and unprecedented capital market integration. Nevertheless, several countries in the periphery of the system experienced dramatic bouts of currency instability. -
THE ABRAHAM L. POMERANTZ LECTURE: Don't Blink: Snap Decisions and Securities Regulation, 77 Brook
Brooklyn Law Review Volume 77 | Issue 1 Article 4 2011 THE ABRAHAM L. POMERANTZ EL CTURE: Don't Blink: Snap Decisions and Securities Regulation Frank Partnoy Follow this and additional works at: https://brooklynworks.brooklaw.edu/blr Recommended Citation Frank Partnoy, THE ABRAHAM L. POMERANTZ LECTURE: Don't Blink: Snap Decisions and Securities Regulation, 77 Brook. L. Rev. (2011). Available at: https://brooklynworks.brooklaw.edu/blr/vol77/iss1/4 This Article is brought to you for free and open access by the Law Journals at BrooklynWorks. It has been accepted for inclusion in Brooklyn Law Review by an authorized editor of BrooklynWorks. THE ABRAHAM L. POMERANTZ LECTURE Don’t Blink SNAP DECISIONS AND SECURITIES REGULATION Frank Partnoy† Modern securities markets move at record speed. Trading decisions are faster than ever. Average investors can immediately acquire information. Rapid technologies have benefits, particularly reduced costs. But fast-moving markets can also be dangerous. Few people had time to think carefully during the financial crisis of 2008 or the “flash crash” of May 6, 2010, when stocks plunged 5-6 percent in minutes and then rebounded almost as quickly. This article explores the consequences of this speed for securities markets. It addresses the extent to which securities regulation should take into account the pace of decision making. It discusses recent scholarly research on snap decisions and suggests legal reforms, some designed to harness the power of quick decisions and others directed at their dangers. It proposes that regulators slow down the markets with proposals ranging from the improbably difficult (steps to respond more deliberately to crises) to the improbably simple (adding a lunch break to the trading day). -
The Flash Crash: the Impact of High Frequency Trading on an Electronic Market∗
The Flash Crash: The Impact of High Frequency Trading on an Electronic Market∗ Andrei Kirilenko|MIT Sloan School of Management Albert S. Kyle|University of Maryland Mehrdad Samadi|University of North Carolina Tugkan Tuzun|Board of Governors of the Federal Reserve System Original Version: October 1, 2010 This version: May 5, 2014 ABSTRACT This study offers an empirical analysis of the events of May 6, 2010, that became known as the Flash Crash. We show that High Frequency Traders (HFTs) did not cause the Flash Crash, but contributed to it by demanding immediacy ahead of other market participants. Immediacy absorption activity of HFTs results in price adjustments that are costly to all slower traders, including the traditional market makers. Even a small cost of maintaining continuous market presence makes market makers adjust their inventory holdings to levels that can be too low to offset temporary liquidity imbalances. A large enough sell order can lead to a liquidity-based crash accompanied by high trading volume and large price volatility { which is what occurred in the E-mini S&P 500 stock index futures contract on May 6, 2010, and then quickly spread to other markets. Based on our results, appropriate regulatory actions should aim to encourage HFTs to provide immediacy, while discouraging them from demanding it, especially at times of significant, but temporary liquidity imbalances. In fast automated markets, this can be accomplished by a more diligent use of short-lived trading pauses that temporarily halt the demand for immediacy, especially if significant order flow imbalances are detected. These short pauses followed by coordinated re-opening procedures would force market participants to coordinate their liquidity supply responses in a pre-determined manner instead of seeking to demand immediacy ahead of others. -
The Federal Reserve's Response to the 1987 Market Crash
PRELIMINARY YPFS DISCUSSION DRAFT | MARCH 2020 The Federal Reserve’s Response to the 1987 Market Crash Kaleb B Nygaard1 March 20, 2020 Abstract The S&P500 lost 10% the week ending Friday, October 16, 1987 and lost an additional 20% the following Monday, October 19, 1987. The date would be remembered as Black Monday. The Federal Reserve responded to the crash in four distinct ways: (1) issuing a public statement promising to provide liquidity as needed, “to support the economic and financial system,” (2) providing support to the Treasury Securities market by injecting in-high- demand maturities into the market via reverse repurchase agreements, (3) allowing the Federal Funds Rate to fall from 7.5% to 7.0%, and (4) intervening directly to allow the rescue of the largest options clearing firm in Chicago. Keywords: Federal Reserve, stock market crash, 1987, Black Monday, market liquidity 1 Research Associate, New Bagehot Project. Yale Program on Financial Stability. [email protected]. PRELIMINARY YPFS DISCUSSION DRAFT | MARCH 2020 The Federal Reserve’s Response to the 1987 Market Crash At a Glance Summary of Key Terms The S&P500 lost 10% the week ending Friday, Purpose: The measure had the “aim of ensuring October 16, 1987 and lost an additional 20% the stability in financial markets as well as facilitating following Monday, October 19, 1987. The date would corporate financing by conducting appropriate be remembered as Black Monday. money market operations.” Introduction Date October 19, 1987 The Federal Reserve responded to the crash in four Operational Date Tuesday, October 20, 1987 distinct ways: (1) issuing a public statement promising to provide liquidity as needed, “to support the economic and financial system,” (2) providing support to the Treasury Securities market by injecting in-high-demand maturities into the market via reverse repurchase agreements, (3) allowing the Federal Funds Rate to fall from 7.5% to 7.0%, and (4) intervening directly to allow the rescue of the largest options clearing firm in Chicago. -
Dangers of Regulatory Overreaction to the October 1987 Crash Lawrence Harris
Cornell Law Review Volume 74 Article 9 Issue 5 July 1989 Dangers of Regulatory Overreaction to the October 1987 Crash Lawrence Harris Follow this and additional works at: http://scholarship.law.cornell.edu/clr Part of the Law Commons Recommended Citation Lawrence Harris, Dangers of Regulatory Overreaction to the October 1987 Crash , 74 Cornell L. Rev. 927 (1989) Available at: http://scholarship.law.cornell.edu/clr/vol74/iss5/9 This Article is brought to you for free and open access by the Journals at Scholarship@Cornell Law: A Digital Repository. It has been accepted for inclusion in Cornell Law Review by an authorized administrator of Scholarship@Cornell Law: A Digital Repository. For more information, please contact [email protected]. THE DANGERS OF REGULATORY OVERREACTION TO THE OCTOBER 1987 CRASH Lawrence Harrist INTRODUCTION The October 1987 crash was the largest stock market crash ever experienced in the United States. Many people, remembering that the Great Depression followed the 1929 crash, expressed serious concerns about the 1987 Crash's potentially destabilizing effects. Fortunately, these concerns have not yet been realized. In hindsight, economic analyses show that the 1929 crash was only a minor cause of the Great Depression. The most important cause of the Depression was the tight monetary policy following the crash. The Federal Reserve failed to provide liquidity sought by the financial sector, and this led to several banking crises. The tight monetary policy was implemented in response to fears about infla- tion-the governors probably were overly impressed by the German hyperinflation. The Federal Reserve learned its lesson well. -
Bitwise Asset Management, Inc., NYSE Arca, Inc., and Vedder Price P.C
MEMORANDUM TO: File No. SR-NYSEArca-2019-01 FROM: Lauren Yates Office of Market Supervision, Division of Trading and Markets DATE: March 20, 2019 SUBJECT: Meeting with Bitwise Asset Management, Inc., NYSE Arca, Inc., and Vedder Price P.C. __________________________________________________________________________ On March 19, 2019, Elizabeth Baird, Christian Sabella, Natasha Greiner, Michael Coe, Edward Cho, Neel Maitra, David Remus (by phone), and Lauren Yates from the Division of Trading and Markets; Charles Garrison, Johnathan Ingram, Cindy Oh, Andrew Schoeffler (by phone), Amy Starr (by phone), Sara Von Althann, and David Walz (by phone) from the Division of Corporation Finance; and David Lisitza (by phone) from the Office of General Counsel, met with the following individuals: Teddy Fusaro, Bitwise Asset Management, Inc. Matt Hougan, Bitwise Asset Management, Inc. Hope Jarkowski, NYSE Arca, Inc. Jamie Patturelli, NYSE Arca, Inc. David DeGregorio, NYSE Arca, Inc. (by phone) Tom Conner, Vedder Price P.C. John Sanders, Vedder Price P.C. The discussion concerned NYSE Arca, Inc.’s proposed rule change to list and trade, pursuant to NYSE Arca Rule 8.201-E, shares of the Bitwise Bitcoin ETF Trust. Bitwise Asset Management, Inc. also provided the attached presentation to the Commission Staff. Bitwise Asset Management Presentation to the U.S. Securities and Exchange Commission March 19, 2019 About Bitwise 01 VENTURE INVESTORS Pioneer: Created the world’s first crypto index fund. 02 TEAM BACKGROUNDS Specialist: The only asset we invest in is crypto. 03 Experienced: Deep expertise in crypto, asset management and ETFs. 2 Today’s Speakers Teddy Fusaro Matt Hougan Chief Operating Officer Global Head of Research Previously Senior Vice President and Senior Previously CEO of Inside ETFs. -
Sarao Criminal Complaint
AO 91(Rev.11/11) Criminal Complaint DOJ Fraud Section Assistant Chief Brent S. Wible (202) 257-4592 and DOJ Fraud Section Trial Attorney Michael T. O'Neill (202) 304-2637 UNITED STATES DISTRICT COURT NORTHERN DISTRICT OF ILLINOIS EASTERN DIVISION MAGISTRATE JUDGE tl/IART«N UNITED STATES OF AMERICA CASE NUMBER: v. UNDER SEAL NAVINDER SINGH SARAO 15Cll 75 CRIMINAL COMPLAINT I, the complainant in this case, state that the following is true to the best of my knowledge and belief. From in or about June 2009 through in or about April 2014, in Chicago, in the Northern District of Illinois, Eastern Division, and elsewhere, the defendant violated: Code Section Offense Description Title 18, United States Code, Section 1343 Defendant willfully and knowingly, having devised and intending to devise a scheme and artifice to defraud, and for obtaining money and property by means of false and fraudulent pretenses, representations, and promises, did transmit and cause to be transmitted by means of wire communication in interstate and foreign commerce, writings, signs, signals, pictures, and sounds for the purpose of executing such scheme and artifice. Title 18, United States Code, Section 1348 Defendant knowingly executed, and attempted to execute, a scheme and artifice to defraud a person in connection with a commodity for future delivery, and to obtain, by means of false and fraudulent pretenses, representations, and promises, any money and property in connection with the purchase and sale of any commodity for future delivery. Title 7, United States Code, Section 13(a)(2) Defendant knowingly and intentionally manipulated and attempted to manipulate the price of a commodity in interstate commerce.