The Stock Market Crash of 1929
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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. -
Records of the Immigration and Naturalization Service, 1891-1957, Record Group 85 New Orleans, Louisiana Crew Lists of Vessels Arriving at New Orleans, LA, 1910-1945
Records of the Immigration and Naturalization Service, 1891-1957, Record Group 85 New Orleans, Louisiana Crew Lists of Vessels Arriving at New Orleans, LA, 1910-1945. T939. 311 rolls. (~A complete list of rolls has been added.) Roll Volumes Dates 1 1-3 January-June, 1910 2 4-5 July-October, 1910 3 6-7 November, 1910-February, 1911 4 8-9 March-June, 1911 5 10-11 July-October, 1911 6 12-13 November, 1911-February, 1912 7 14-15 March-June, 1912 8 16-17 July-October, 1912 9 18-19 November, 1912-February, 1913 10 20-21 March-June, 1913 11 22-23 July-October, 1913 12 24-25 November, 1913-February, 1914 13 26 March-April, 1914 14 27 May-June, 1914 15 28-29 July-October, 1914 16 30-31 November, 1914-February, 1915 17 32 March-April, 1915 18 33 May-June, 1915 19 34-35 July-October, 1915 20 36-37 November, 1915-February, 1916 21 38-39 March-June, 1916 22 40-41 July-October, 1916 23 42-43 November, 1916-February, 1917 24 44 March-April, 1917 25 45 May-June, 1917 26 46 July-August, 1917 27 47 September-October, 1917 28 48 November-December, 1917 29 49-50 Jan. 1-Mar. 15, 1918 30 51-53 Mar. 16-Apr. 30, 1918 31 56-59 June 1-Aug. 15, 1918 32 60-64 Aug. 16-0ct. 31, 1918 33 65-69 Nov. 1', 1918-Jan. 15, 1919 34 70-73 Jan. 16-Mar. 31, 1919 35 74-77 April-May, 1919 36 78-79 June-July, 1919 37 80-81 August-September, 1919 38 82-83 October-November, 1919 39 84-85 December, 1919-January, 1920 40 86-87 February-March, 1920 41 88-89 April-May, 1920 42 90 June, 1920 43 91 July, 1920 44 92 August, 1920 45 93 September, 1920 46 94 October, 1920 47 95-96 November, 1920 48 97-98 December, 1920 49 99-100 Jan. -
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 $500 billion dollars of its value-- the largest single-day percentage drop in history. Volume surges to a then record of 604 million shares. Two days later, the DJIA recovered 289 points or 16.6% of its loss. It took two years for the DJIA to fully recover its losses, setting the stage for the longest bull market in U.S. history. Date Close Change Change % 10/19/87 1,738.70 -508.00 -22.6 10/20/87 1,841.00 102.30 5.9 10/21/87 2,027.90 186.90 10.2 Quick Facts on October 11, 1987 • DJIA fell 507.99 points to 1,738.74, a 22.6% drop (DJIA had opened at 2246.74 that day) o Record decline at that time o Friday, Oct. 16, DJIA fell 108 points, completing a 9.5 percent drop for the week o Aug. 1987, DJIA reached 2722.42, an all-time high; up 48% over prior 10 months o Today, DJIA above 14,000 • John Phelan, NYSE Chairman/CEO -- Credited with effective management of the crisis. A 23-year veteran of the trading floor, he became NYSE president in 1980 and chairman and chief executive officer in 1984, serving until 1990 NYSE Statistics (1987, then vs. now) 1987 Today (and current records) ADV - ytd 1987 (thru 10/19): 181.5 mil ADV – 1.76 billion shares (NYSE only) shares 10/19/1987: 604.3 million shares (reference ADV above) 10/20/1987: 608.1* million shares (reference ADV above) Oct. -
AVAILABLE from a Price Index for Deflation of Academic R&D
DOCUMENT RESUME ED 067 986 HE 003 406 TITLE A Price Index for Deflation of Academic R&D Expenditures. INSTITUTION National Science Foundation, Washington, D.C. REPORT NO NSF-72-310 PUB DATE 72 NOTE 38p. AVAILABLE FROMSuperintendent of Documents, U.S. Government Printing- Office, Washington, D.C. 20402 ($.25, 3800-00122) EDRS PRICE MF-$0.65 HC-$3.29 DESCRIPTORS Costs; Educational Finance; *Educational Research; Financial Problems; *Financial Support; *Higher Education; Research; Research and Development Centers; *Scientific Research; *Statistical Data ABSTRACT This study relates to price trends affecting research and development (R&D) activities at academic institutions. Part I of this report provides the overall results of the study with limited discussion of measurement concepts, methodology and limitations. Part II deals with price indexes and deflation-general concepts and methodology. Part III discusses methodology and data base and Part IV describes alternative computations and approaches. Statistical tables and charts are included.(Author/CS) cO Cr` CD :w U S DEPARTMENT OF HEALTH EDUCATION & WELFARE OFFICE OF EDUCATION THIS DOCUMENT HASBEEN REPRO DUCED EXACTLY ASRECEIVED FROM THE PERSON OR ORGANIZATION ORIG INATING IT POINTS OFVIEW OR OPIN IONS STATED DONOT NECESSARILY REPRESENT OFFICIALOFFICE OF EDU CATION POSITION OR POLICY RELATED PUBLICATIONS Title Number Price National Patterns of R&D Resources: Funds and Manpower in the United States, 1953-72 72-300 $0.50 Resources for Scientific Activities at Universi- ties and Colleges, 1971 72-315 In press Availability of Publications Those publications marked with a price should be obtained directly from the Superintendent of Documents, U.S. Government Printing Office, Washington, D.C. -
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. -
Does Google Search Index Help Track and Predict Inflation Rate? an Exploratory Analysis for India
Does Google Search Index Help Track and Predict Inflation Rate? An Exploratory Analysis for India By G. P. Samanta1 Abstract: The forward looking outlook or market expectations on inflation constitute valuable input to monetary policy, particularly in the ‘inflation targeting' regime. However, prediction or quantification of market expectations is a challenging task. The time lag in the publication of official statistics further aggravates the complexity of the issue. One way of dealing with non-availability of relevant data in real- time basis involves assessing the current or nowcasting the inflation based on a suitable model using past or present data on related variables. The forecast may be generated by extrapolating the model. Any error in the assessment of the current inflationary pressure thus may lead to erroneous forecasts if the latter is conditional upon the former. Market expectations may also be quantified by conducting suitable surveys. However, surveys are associated with substantial cost and resource implications, in addition to facing certain conceptual and operational challenges in terms of representativeness of the sample, estimation techniques, and so on. As a potential alternative to address this issue, recent literature is examining if the information content of the vast Google trend data generated through the volume of searches people make on the keyword ‘inflation' or a suitable combination of keywords. The empirical literature on the issue is mostly exploratory in nature and has reported a few promising results. Inspired by this line of works, we have examined if the search volume on the keywords ‘inflation’ or ‘price’in the Google search engine is useful to track and predict inflation rate in India. -
Dietz, Cyrus E 1928-1929
Cyrus E. Dietz 1928-1929 © Illinois Supreme Court Historic Preservation Commission Image courtesy of the Illinois Supreme Court Cyrus Edgar Dietz was born on a farm near Onarga, Illinois, a town on the Illinois Central Railroad in Iroquois County on March 17, 1875. At the peak of a highly successful career as a prominent attorney, he won a seat on the Supreme Court only to die of injuries sustained in an equestrian accident barely nine months after his swearing-in, making his tenure one of the shortest in the Court’s history. His parents were Charles Christian Dietz and Elizabeth Orth Dietz. He was the youngest of eight children. His father was born in Philadelphia of Alsatian background. His mother came from a Moravian family that settled in Pennsylvania in the early eighteenth century. Elizabeth Orth Dietz’s uncle was Godlove Orth, a friend of Abraham Lincoln’s during the Civil War, a prominent lawyer in Indiana, serving in the state legislature, in the United States House of Representatives, and as minister to the court of Vienna.1 His education began at the Grand Prairie Seminary at Onarga. From there he went to Northwestern University and majored in speech and law, obtaining his Bachelor of Law degree in 1902. His brother Godlove Orth Dietz graduated with him.2 While pursuing his double-major at Northwestern, he also played fullback for the university football team, an effort that earned him All-American status in 1901.3 2 After graduation he stayed near Northwestern to practice law in the Chicago office of William Dever, who would later become mayor of Chicago in the 1920s. -
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. -
Burgernomics: a Big Mac Guide to Purchasing Power Parity
Burgernomics: A Big Mac™ Guide to Purchasing Power Parity Michael R. Pakko and Patricia S. Pollard ne of the foundations of international The attractive feature of the Big Mac as an indi- economics is the theory of purchasing cator of PPP is its uniform composition. With few power parity (PPP), which states that price exceptions, the component ingredients of the Big O Mac are the same everywhere around the globe. levels in any two countries should be identical after converting prices into a common currency. As a (See the boxed insert, “Two All Chicken Patties?”) theoretical proposition, PPP has long served as the For that reason, the Big Mac serves as a convenient basis for theories of international price determina- market basket of goods through which the purchas- tion and the conditions under which international ing power of different currencies can be compared. markets adjust to attain long-term equilibrium. As As with broader measures, however, the Big Mac an empirical matter, however, PPP has been a more standard often fails to meet the demanding tests of elusive concept. PPP. In this article, we review the fundamental theory Applications and empirical tests of PPP often of PPP and describe some of the reasons why it refer to a broad “market basket” of goods that is might not be expected to hold as a practical matter. intended to be representative of consumer spending Throughout, we use the Big Mac data as an illustra- patterns. For example, a data set known as the Penn tive example. In the process, we also demonstrate World Tables (PWT) constructs measures of PPP for the value of the Big Mac sandwich as a palatable countries around the world using benchmark sur- measure of PPP. -
Dimensions of Macroeconomic Uncertainty: a Common Factor Analysis
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Henzel, Steffen; Rengel, Malte Working Paper Dimensions of Macroeconomic Uncertainty: A Common Factor Analysis CESifo Working Paper, No. 4991 Provided in Cooperation with: Ifo Institute – Leibniz Institute for Economic Research at the University of Munich Suggested Citation: Henzel, Steffen; Rengel, Malte (2014) : Dimensions of Macroeconomic Uncertainty: A Common Factor Analysis, CESifo Working Paper, No. 4991, Center for Economic Studies and ifo Institute (CESifo), Munich This Version is available at: http://hdl.handle.net/10419/103134 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die -
Nasdaq Trader Manual
Nasdaq Trader Manual Notice: This manual is in no way intended to be a substitution for, or relied upon in lieu of, the rules contained in the NASD Manual. The design and information contained in this manual are owned by The Nasdaq Stock Market, Inc. (Nasdaq), or one of its affiliates, the National Association of Securities Dealers, Inc. (NASD), NASD Regulation, Inc. (NASDR), Nasdaq International Ltd., or Nasdaq International Market Initiatives, Ltd. (NIMI). The information contained in the manual may be used and copied for internal business purposes only. All copies must bear this permission notice and the following copyright citation on the first page: “Copyright © 1998, The Nasdaq Stock Market, Inc. All rights reserved.” The information may not other- wise be used (not copied, performed, distributed, rented, sublicensed, altered, stored for subsequent use, or otherwise used in whole or in part, in any manner) without Nasdaq’s prior written consent except to the extent that such use constitutes “fair use” under the “Copyright Act” of 1976 (17 U.S.C. Section 107), as amended. In addition, the information may not be taken out of context or presented in a unfair, misleading or discriminating manner. THE INFORMATION CONTAINED HEREIN IS PROVIDED ONLY FOR THE PURPOSE OF PRO- VIDING GENERAL GUIDANCE AS TO THE APPLICATION OF PARTICULAR NASD RULES. ALL USERS, INCLUDING BUT NOT LIMITED TO, MEMBERS, ASSOCIATED PERSONS AND THEIR COUNSEL SHOULD CONSIDER THE NEED FOR FURTHER GUIDANCE AS TO THE APPLICATION OF NASD RULES TO THEIR OWN UNIQUE CIRCUMSTANCES. NO STATE- MENTS ARE INTENDED AS EXPRESS WARRANTIES. ALL INFORMATION CONTAINED HEREIN IS PROVIDED “AS IS” WITHOUT WARRANTY OF ANY KIND.