How One Trade Could Change the World: High Frequency Trading And
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Of Crashes, Corrections, and the Culture of Financial Information- What They Tell Us About the Need for Federal Securities Regulation
Missouri Law Review Volume 54 Issue 3 Summer 1989 Article 2 Summer 1989 Of Crashes, Corrections, and the Culture of Financial Information- What They Tell Us about the Need for Federal Securities Regulation C. Edward Fletcher III Follow this and additional works at: https://scholarship.law.missouri.edu/mlr Part of the Law Commons Recommended Citation C. Edward Fletcher III, Of Crashes, Corrections, and the Culture of Financial Information-What They Tell Us about the Need for Federal Securities Regulation, 54 MO. L. REV. (1989) Available at: https://scholarship.law.missouri.edu/mlr/vol54/iss3/2 This Article is brought to you for free and open access by the Law Journals at University of Missouri School of Law Scholarship Repository. It has been accepted for inclusion in Missouri Law Review by an authorized editor of University of Missouri School of Law Scholarship Repository. For more information, please contact [email protected]. Fletcher: Fletcher: Of Crashes, Corrections, and the Culture of Financial Information OF CRASHES, CORRECTIONS, AND THE CULTURE OF FINANCIAL INFORMATION-WHAT THEY TELL US ABOUT THE NEED FOR FEDERAL SECURITIES REGULATION C. Edward Fletcher, III* In this article, the author examines financial data from the 1929 crash and ensuing depression and compares it with financial data from the market decline of 1987 in an attempt to determine why the 1929 crash was followed by a depression but the 1987 decline was not. The author argues that the difference between the two events can be understood best as a difference between the existence of a "culture of financial information" in 1987 and the absence of such a culture in 1929. -
Stock Market Performance Over Last 30 Years
SECURITY BENEFIT Stock Market Performance Over Last 30 Years 4000 Dec. 31, 2020 S&P closed at 3733.27 Dec. 31, 2019 S&P closed at 3215.18 3000 Dec. 31, 2014 S&P closed above 2,000 for the first time Mar. 1, 2020 Value ® A 20% decline in the Jan. 14, 2000 Oct. 9, 2007 peak S&P due to the 2000 Dot-com bubble End of 2000 Bull Covid-19 Pandemic peaks at 1465.15 market 1565.15 S&P 500 S&P Mar. & Aug. 2015 Two flash crashes of 2015 - attributed to the rise of algorithmic trading 1995–1997 1000 Beginning of the dot-com bubble August 8, 2011 Black Monday 2011 Market decline following Oct. 9, 2002 March 9, 2009 US debt downgrade from A 47% decline in the A 57% decline in the AAA to AA+ S&P from the peak of peak S&P from the peak the dot-com bubble of the housing bubble 0 Dec. 1990 Dec. 1995 Dec. 2000 Dec. 2005 Dec. 2010 Dec. 2015 Dec. 2020 Your path To and Through Retirement® begins here. Talk to your financial professional to learn more or contact us at 800.888.2461. Neither Security Benefit Life Insurance Company, First Security Benefit Life Insurance and Annuity companies are not sponsored, endorsed, sold or promoted by S&P Dow Jones Indices LLC, Dow Company of New York, Albany, NY, nor Security Distributors is a fiduciary and the information Jones, S&P or their respective affiliates and neither S&P Dow Jones Indices LLC, Dow Jones, S&P provided is not intended to be investment advice. -
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. -
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. -
October 19, 1987 – Black Monday, 20 Years Later BACKGROUND
October 19, 1987 – Black Monday, 20 Years Later BACKGROUND On Oct. 19, 1987, “Black Monday,” the DJIA fell 507.99 (508) points to 1,738.74, a drop of 22.6% or $500 billion dollars of its value-- the largest single-day percentage drop in history. Volume surges to a then record of 604 million shares. Two days later, the DJIA recovered 289 points or 16.6% of its loss. It took two years for the DJIA to fully recover its losses, setting the stage for the longest bull market in U.S. history. Date Close Change Change % 10/19/87 1,738.70 -508.00 -22.6 10/20/87 1,841.00 102.30 5.9 10/21/87 2,027.90 186.90 10.2 Quick Facts on October 11, 1987 • DJIA fell 507.99 points to 1,738.74, a 22.6% drop (DJIA had opened at 2246.74 that day) o Record decline at that time o Friday, Oct. 16, DJIA fell 108 points, completing a 9.5 percent drop for the week o Aug. 1987, DJIA reached 2722.42, an all-time high; up 48% over prior 10 months o Today, DJIA above 14,000 • John Phelan, NYSE Chairman/CEO -- Credited with effective management of the crisis. A 23-year veteran of the trading floor, he became NYSE president in 1980 and chairman and chief executive officer in 1984, serving until 1990 NYSE Statistics (1987, then vs. now) 1987 Today (and current records) ADV - ytd 1987 (thru 10/19): 181.5 mil ADV – 1.76 billion shares (NYSE only) shares 10/19/1987: 604.3 million shares (reference ADV above) 10/20/1987: 608.1* million shares (reference ADV above) Oct. -
Cracks in the Pipeline 2
MEDIA CONTACT: Lauren Strayer | [email protected] 212-389-1413 FINANCIAL PIPELINE .o rg Series CRACKS IN THE PIPELINE 2 HIGH FREQUENCY TRADING by: Wallace C. Turbeville his is the second of a series of articles, that increase the inefficiency of Capital Intermediation and entitled “The Financial Pipeline Series”, its cost. The increased volumes in the traded markets are examining the underlying validity of the largely a result of high-speed, computer driven trading assertion that regulation of the financial by large banks and smaller specialized firms. This article markets reduces their efficiency. These illustrates how this type of trading (along with other activ- articles assert that the value of the finan- ities discussed in subsequent articles) extracts value from cial markets is often mis-measured. The the Capital Intermediation process rendering it less efficient. efficiency of the market in intermediat- It also describes how the value extracted is a driver of even ing flows between capital investors and more increased volume creating a dangerous and powerful capital users (like manufacturing and service businesses, feedback loop. individuals and governments) is the proper measure. Unreg- Tying increased trading volume to inefficiencies runs ulated markets are found to be chronically inefficient using counter to a fundamental tenet of industry opponents to Tthis standard. This costs the economy enormous amounts financial reform. They assert that burdens on trading will each year. In addition, the inefficiencies create stresses to the reduce volumes and thereby impair the efficient functioning system that make systemic crises inevitable. Only prudent of the markets. regulation that moderates trading behavior can reduce these The industry’s position that increased volume reduces inefficiencies. -
The Future of Computer Trading in Financial Markets an International Perspective
The Future of Computer Trading in Financial Markets An International Perspective FINAL PROJECT REPORT This Report should be cited as: Foresight: The Future of Computer Trading in Financial Markets (2012) Final Project Report The Government Office for Science, London The Future of Computer Trading in Financial Markets An International Perspective This Report is intended for: Policy makers, legislators, regulators and a wide range of professionals and researchers whose interest relate to computer trading within financial markets. This Report focuses on computer trading from an international perspective, and is not limited to one particular market. Foreword Well functioning financial markets are vital for everyone. They support businesses and growth across the world. They provide important services for investors, from large pension funds to the smallest investors. And they can even affect the long-term security of entire countries. Financial markets are evolving ever faster through interacting forces such as globalisation, changes in geopolitics, competition, evolving regulation and demographic shifts. However, the development of new technology is arguably driving the fastest changes. Technological developments are undoubtedly fuelling many new products and services, and are contributing to the dynamism of financial markets. In particular, high frequency computer-based trading (HFT) has grown in recent years to represent about 30% of equity trading in the UK and possible over 60% in the USA. HFT has many proponents. Its roll-out is contributing to fundamental shifts in market structures being seen across the world and, in turn, these are significantly affecting the fortunes of many market participants. But the relentless rise of HFT and algorithmic trading (AT) has also attracted considerable controversy and opposition. -
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 -
Bubbles, Manias and Market Failures
7 February 2019 Bubbles, Manias and Market Failures PROFESSOR D’MARIS COFFMAN transcribed by Mr Imad Uddin Ahmed Thank you all, it’s a great honour to be here. This is actually my second time lecturing in this hall. I was first here about 5 years ago in 2013 when I was talking about something else entirely. I’m thrilled to be back, and I would like to thank Michael Mainelli, who is not here, for in fact convincing me to do this for a second time. Tonight, I’ll talk about bubbles, manias and market failures and particularly about the unintended consequences of regulatory responses to these events. And I think when you begin talking about the subject, it’s almost imperative that you start with Tulipmania which is the paradigmatic early-modern financial crisis. Some of you may recognise this wonderful print from 1637/38 by Peter Nolpe which shows a fool’s cap in which people are playing a gambling game that was played in the inns near the flower markets. It was a kind of auction game, bit of a spread-betting game in which they bid up the price of tulips. And this print shows the devastation that Tulipmania was supposed to have caused to the morals and the economic welfare of the Dutch republic. Now most of when we actually see copies of this print, don’t see the copies from the 1636-37 but rather recycled copies from the 1720s in a much different context. We’ll talk in a moment about that context. -
Interview of George Mehales About the Stock Market Crash of 1929, December 1938
Interview of George Mehales about the Stock Market Crash of 1929, December 1938 One day, one of my customers showed me how much money he was making in the market. I had never even thought about the stock market before. For a few days, I looked at the market page in the newspaper. It looked good to me, and I bit with what you folks call 'hook, line and sinker.' All the money I took in, I put into stocks. The first day of October in 1929 made me feel like I was rich. The stocks I bought had gone up and up. I sold some of them and bought others. I often thought about what my mother had said and that was “You'll get rich in America someday!' I should have paid for my fixtures, but I figured I could pay them any time. You might think I would have known better, but I didn't. I figured I could pay my debts any time, and I just let them ride. Trouble hit me hard during the last day of October of that year. I had become so interested with the market that I let my own business go down. I wasn't there half the time. I need my own place of business as a place to hang around in. Business dropped off, but I didn't care “cause I was making plenty money in the market. During the last days of October, my stocks began to drop. I was gambling on the margin. My brother called me and told me I would have to put up more cash. -
Recession Outlook ➢ Impact of Recessions on Investments ➢ Conventional-Wisdom Investments for Recessions
Chap quoit A Division of Dynamic Portfolios Presentation of Managing the Risk of a Looming U.S. Recession During 2020 May 10, 2020 1 Chap quoit A Division of Dynamic Portfolios Impact of Recessions on Investments Virtually all recessions are accompanied by a large stock market drawdown. 2 Chap quoit A Division of Dynamic Portfolios S&P500 Daily-Close Maximum Drawdowns In Last 10 Recessions: 7 Bear Markets, 3 Corrections Black Monday 1987. Credit Crunch of 66. Computerized selling Long-Term Capital Flash Crash of 62. Liquidity Crisis in dictated by portfolio and Hedge Fund US Steel Price Bond Markets. insurance hedges. Redemptions Surprise. Bear Market Line Correction Line Shading represents US economic recessions as defined by the National Bureau of Economic Research (NBER). Chap quoit A Division of Dynamic Portfolios Managing 2020 Recession Risk Topics For Discussion ➢ Definition of a Recession ➢ Primary Factor for Declaring Dates for a Recession ➢ Historical Causes of Recessions ➢ Indicators to Help Estimate Timing of Recessions ➢ Current Recession Outlook ➢ Impact of Recessions on Investments ➢ Conventional-Wisdom Investments for Recessions 4 Chap quoit A Division of Dynamic Portfolios Definition of a Recession The National Bureau of Economic Research (NBER) Defines a Recession as: “A significant decline in economic activity spread across the economy, lasting more than a few months, normally visible in real GDP, real income, employment, industrial production, and wholesale-retail sales.” Rule of thumb: Real GDP declines in two negative quarters. Official Recession Dates are declared by the NBER Business Cycle Dating Committee. -December 1, 2008, announced its most recent U.S. recession started December 2007, a full year after the recession began. -
Ai: Understanding and Harnessing the Potential Wireless & Digital Services Ai: Understanding and Harnessing the Potential White Paper
AI: UNDERSTANDING AND HARNESSING THE POTENTIAL WIRELESS & DIGITAL SERVICES AI: UNDERSTANDING AND HARNESSING THE POTENTIAL WHITE PAPER CONTENTS INTRODUCTION ..............................................................................................................................................................................02 1. THE PRODUCTIVITY CONUNDRUM: WILL AI HELP US BREAK INTO A NEW CYCLE? ...........................................................05 1.1 Global productivity growth is faltering ...................................................................................................... 05 1.2 AI has the potential to drive productivity improvements and hence economic growth .................................... 06 2. AI FUTURES ........................................................................................................................................................................11 2.1 Replacing the smartphone with a ubiquitous voice assistant ....................................................................... 11 2.2 Your AI powered personal digital assistant ............................................................................................... 12 2.3 Is AI the missing piece for a truly smart city? ........................................................................................... 14 2.4 City of the future ................................................................................................................................... 16 2.5 Giving medics more time to care ............................................................................................................