Manipulation of Stock Price and Its Consequences
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The Economics of Commodity Market Manipulation: a Survey
The Economics of Commodity Market Manipulation: A Survey Craig Pirrong Bauer College of Business University of Houston February 11, 2017 1 Introduction The subject of market manipulation has bedeviled commodity markets since the dawn of futures trading. Allegations of manipulation have been extremely commonplace, but just what constitutes manipulation, and how charges of manipulation can be proven, have been the subject of intense controversy. The remark of a waggish cotton trader in testimony before a Senate Com- mittee in this regard is revealing: “the word manipulation . initsuse isso broad as to include any operation of the cotton market that does not suit the gentleman who is speaking at the moment.” The Seventh Circuit Court of Appeals echoed this sentiment, though less mordantly, in its decision in the case Cargill v. Hardin: “The methods and techniques of manipulation are limited only by the ingenuity of man.” Concerns about manipulation have driven the regulation of commodity markets: starting with the Grain Fu- tures Act of 1922, United States law has proscribed manipulation, including 1 specifically “corners” and “squeezes.” Exchanges have an affirmative duty to police manipulation, and in the United States, the Commodity Futures Trad- ing Commission and the Department of Justice can, and have exercised, the power to prosecute alleged manipulators. Nonetheless, manipulation does occur. In recent years, there have been allegations that manipulations have occurred in, inter alia, soybeans (1989), copper (1995), gold (2004-2014) nat- ural gas (2006), silver (1998, 2007-2014), refined petroleum products (2008), cocoa (2010), and cotton (2011). Manipulation is therefore both a very old problem, and a continuing one. -
Trading Frictions and Market Structure: an Empirical Analysis
Trading Frictions and Market Structure: An Empirical Analysis Charlie X. Cai, David Hillier, Robert Hudson, and Kevin Keasey1 February 3, 2005 JEL Classi…cation: G12; G14; D23; L22. Keywords: SETS; SEAQ; Trading Friction; Market Structure. 1 The Authors are from the University of Leeds. Address for correspondence: Charlie X. Cai, Leeds University Business School, Maurice Keyworth Building, The University of Leeds, Leeds LS2 9JT, UK., e-mail: [email protected]. All errors are our own. Trading Frictions and Market Structure: An Empirical Analysis Abstract Market structure a¤ects the informational and real frictions faced by traders in equity markets. We present evidence which suggests that while real fric- tions associated with the costs of supplying immediacy are less in order driven systems, informational frictions resulting from increased adverse selection risk are considerably higher in these markets. Firm value, transaction size and order location are all major determinants of the trading costs faced by investors. Consistent with the stealth trading hypothesis of Barclay and Warner (1993), we report that informational frictions are at their highest for small trades which go through the order book. Finally, while there is no doubt that the total costs of trading on order-driven systems are lower for very liquid securities, the inherent informational ine¢ ciencies of the format should be not be ignored. This is particularly true for the vast majority of small to mid-size stocks that experience infrequent trading and low transac- tion volume. JEL Classi…cation: G12; G14; D23; L22. Keywords: SETS; SEAQ; Trading Friction; Market Structure. 1 Introduction Trading frictions in …nancial markets are an important determinant of the liquidity of securities and the intertemporal e¢ ciency of prices. -
What Drives Market Resiliency on the Order-Driven Markets?
What Drives Market Resiliency on the Order-Driven Markets? Dániel Havran1 Institute of Economics, Centre for Economic and Regional Studies Hungarian Academy of Sciences, H-1112 Budapest Budaörsi út 45. Department of Finance, Corvinus University of Budapest H-1093. Budapest Fővám tér 8. Tel: +361-482-5468, email: [email protected] Kata Váradi2 Corvinus University of Budapest H-1093. Budapest Fővám tér 8. Tel: +361-482-5373, email: [email protected] Abstract Our study investigates the market resiliency of order-driven stock markets. We define resiliency as the feature of the market in which new orders flow quickly to correct liquidity of the market after a 1 Dániel Havran is participant of the Hungarian Academy of Science Postdoctoral Fellowship Programme, in the period of 2013/09-2015/09. 2 This research was supported by the European Union and the State of Hungary, co-financed by the European Social Fund in the framework of TÁMOP 4.2.4. A/2-11-1-2012-0001 ‘National Excellence Program’. 1 shock. When an aggressive market order appears, it eliminates a significant ratio of the limit orders from the order book. The resulting lack of limit orders can cause notable price impact for market orders. It is crucial for the market players to know the duration of the correction and the possible long term effects of this kind of shocks. Based on the literature, we build up a vector autoregressive model to quantify the duration of the correction of market liquidity and explore the size of the critical market orders which drives to market shocks. -
Trading and the True Liquidity of an ETF
For Professional Clients and/or Qualified Investors only Trading and the true liquidity of an ETF Contact us ETFs are at least as liquid as the underlying securities they hold ETF Capital Markets: Even an ETF with low traded volume is liquid if its bid-ask spread is tight +44 (0)20 7011 4224 [email protected] The BMO ETF Capital Markets desk is the key contact for investors wanting to trade BMO ETFs as it assists clients Sales Support: throughout the trading process +44 (0)20 7011 4444 [email protected] An ETF’s underlying liquidity can be assessed by the difference between the buy (ask) price and sell (bid) price, or the “bid-ask spread”, resulting from the two-way Telephone calls may be recorded. traded flows in an ETF. A tighter bid-ask spread on an ETF generally indicates that the underlying securities also have tight bid-ask spreads and are therefore more liquid. The “market depth”, as seen on the Exchange’s order book of an ETF (list of all the bmogam.com/etfs quotes and trade sizes for an ETF) also provides an indication of the liquidity for an ETF. Follow us on LinkedIn The higher the number of buy and sell orders at each price, the greater the depth of the market. Some investors might not have access to this information readily but the Subscribe to our BMO Global Asset Management ETF Capital Markets desk does. BrightTALK channelan The average daily volume is not necessarily indicative of ETF liquidity; even an ETF with Subscribe to our market-driven low traded volume is liquid if its underlying holdings are liquid and its bid-ask spread investment strategy emails ALK. -
Regulatory Framework of Pre and Post Trading Transparency
Indian Journal of Fundamental and Applied Life Sciences ISSN: 2231– 6345 (Online) An Open Access, Online International Journal Available at www.cibtech.org/sp.ed/jls/2015/02/jls.htm 2015 Vol. 5 (S2), pp. 81-92/Sarvestani et al. Research Article REGULATORY FRAMEWORK OF PRE AND POST TRADING TRANSPARENCY IN THE TEHRAN STOCK EXCHANGE Hosein Hasanzadeh Sarvestani1, Seeyd Abbas Moosavian2 and Hashem Nikoumaram3 1Department of Financial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran 2Islamic Research Institute for Culture and Thought, Qom, Iran 3Science and Research Branch, Islamic Azad University, Tehran, Iran *Author for Correspondence ABSTRACT Information in securities markets plays central role. The issue of market transparency refers to the clarity with which market participants (and the public at large) can perceive the process of securities trading. In addition to helping investors make better decisions, transparency increases confidence in the fairness of the markets. Thus, regulators should aim to ensure that markets are fair, efficient and transparent and investors are given fair access to market information. In this study, we categorize portions of rules and regulations that were relevant to market transparency and after difining the association between the main categories; we present a regulatory framework for pre-post trading transparency. The main categories of regulatory framework are the dissemination of pre and post transactions information, prohibition of inside information abuse, prohibition of market manipulation, recording, maintenance and reporting documents and information by financial institutions, exchanges and self-regulatory organization, trader's information about procedures and regulation of stocks trading and violations and punishments. We explain the effects of these categories on the market transparency and conclude that the regulatory framework can be used by researchers and SEO for future researches and weaknesses amendment. -
Regulatory Notice 21-03
Regulatory Notice 21-03 Fraud Prevention February 10, 2021 FINRA Urges Firms to Review Their Policies and Notice Type Procedures Relating to Red Flags of Potential Securities 0 Special Alert Fraud Involving Low-Priced Securities Suggested Routing Summary 0 Anti-Money Laundering 0 Compliance Low-priced securities1 tend to be volatile and trade in low volumes. It may be difficult to find accurate information about them. There is a long history of 0 Financial Crimes bad actors exploiting these features to engage in fraudulent manipulations 0 Fraud of low-priced securities. Frequently, these actors take advantage of trends 0 Internal Audit and major events—such as the growth in cannabis-related businesses or the 0 Legal ongoing COVID-19 pandemic—to perpetrate the fraud.2 0 Operations FINRA has observed potential misrepresentations about low-priced securities 0 Risk issuers’ involvement with COVID-19 related products or services, such as 0 Senior Management vaccines, test kits, personal protective equipment and hand sanitizers. These misrepresentations appear to have been part of potential pump-and-dump Key Topics or market manipulation schemes that target unsuspecting investors.3 These 0 COVID-19-related manipulations are the most recent manifestation of this Anti-Money Laundering type of fraud. 0 Fraud 0 Low-Priced Securities This Notice provides information that may help FINRA member firms 0 Trading that engage in low-priced securities business assess and, as appropriate, strengthen their controls to identify and mitigate their risk, and the risk to their customers, including specified adults and seniors,4 of becoming involved Referenced Rules & Notices in activities related to fraud involving low-priced securities. -
Providing the Regulatory Framework for Fair, Efficient and Dynamic European Securities Markets
ABOUT CEPS Founded in 1983, the Centre for European Policy Studies is an independent policy research institute dedicated to producing sound policy research leading to constructive solutions to the challenges fac- Competition, ing Europe today. Funding is obtained from membership fees, contributions from official institutions (European Commission, other international and multilateral institutions, and national bodies), foun- dation grants, project research, conferences fees and publication sales. GOALS •To achieve high standards of academic excellence and maintain unqualified independence. Fragmentation •To provide a forum for discussion among all stakeholders in the European policy process. •To build collaborative networks of researchers, policy-makers and business across the whole of Europe. •To disseminate our findings and views through a regular flow of publications and public events. ASSETS AND ACHIEVEMENTS • Complete independence to set its own priorities and freedom from any outside influence. and Transparency • Authoritative research by an international staff with a demonstrated capability to analyse policy ques- tions and anticipate trends well before they become topics of general public discussion. • Formation of seven different research networks, comprising some 140 research institutes from throughout Europe and beyond, to complement and consolidate our research expertise and to great- Providing the Regulatory Framework ly extend our reach in a wide range of areas from agricultural and security policy to climate change, justice and home affairs and economic analysis. • An extensive network of external collaborators, including some 35 senior associates with extensive working experience in EU affairs. for Fair, Efficient and Dynamic PROGRAMME STRUCTURE CEPS is a place where creative and authoritative specialists reflect and comment on the problems and European Securities Markets opportunities facing Europe today. -
The Impact of Trading Halts on Liquidity of the Tehran
Indian Journal of Fundamental and Applied Life Sciences ISSN: 2231– 6345 (Online) An Open Access, Online International Journal Available at www.cibtech.org/sp.ed/jls/2014/04/jls.htm 2014 Vol. 4 (S4), pp. 1132-1141/Sarikhani and Talebbeydokhti Research Article THE IMPACT OF TRADING HALTS ON LIQUIDITY OF THE TEHRAN STOCK EXCHANGE Zahra Sarikhani1 and *Abbas Talebbeydokhti2 1Department of Management, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran Department of Management, Science and Research Branch, Islamic Azad University, Fars, Iran 2Department of Management, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran Department of Management, Science and Research Branch, Islamic Azad University, Fars, Iran *Author for Correspondence ABSTRACT This research examines the behavior of trading halt in liquidity of Tehran Stock Exchange. The statistical population of this study includes all of the companies listed in Tehran Stock Exchange. Using simple random sampling, 469 companies have been selected among the companies listed in the stock exchange and they were analyzed during the time period of 2009-2012. The collected data was analyzed using Wilcoxon test and Spss software version 19 and according to the results, there is a negative significant relationship between the indicators of liquidity (trading volume and price volatility and market depth) and trading halt. This means that these variables are reduced by applying trading halt. The Bid-Ask spread index is related negatively and directly to trading halt. This indicates that the value of this variable is increased by applying a trading halt. Therefore it can be concluded that trading halt is not an efficient mechanism in Tehran Stock Exchange. -
The Future of Computer Trading in Financial Markets (11/1276)
City Research Online City, University of London Institutional Repository Citation: Atak, A. (2011). The Future of Computer Trading in Financial Markets (11/1276). Government Office for Science. This is the published version of the paper. This version of the publication may differ from the final published version. Permanent repository link: https://openaccess.city.ac.uk/id/eprint/13825/ Link to published version: 11/1276 Copyright: City Research Online aims to make research outputs of City, University of London available to a wider audience. Copyright and Moral Rights remain with the author(s) and/or copyright holders. URLs from City Research Online may be freely distributed and linked to. Reuse: Copies of full items can be used for personal research or study, educational, or not-for-profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. City Research Online: http://openaccess.city.ac.uk/ [email protected] The Future of Computer Trading in Financial Markets Working paper Foresight, Government Office for Science This working paper has been commissioned as part of the UK Government’s Foresight Project on The Future of Computer Trading in Financial Markets. The views expressed are not those of the UK Government and do not represent its policies. Introduction by Professor Sir John Beddington Computer based trading has transformed how our financial markets operate. The volume of financial products traded through computer automated trading taking place at high speed and with little human involvement has increased dramatically in the past few years. -
Market Abuse Outlook: Overview of Global Regulatory Priorities and Focus Areas
February 2021 Market Abuse Outlook: Overview of Global Regulatory Priorities and Focus Areas Contents Introduction 2 Governance landscape 3 Lessons from the past 5 Emerging expectations 9 Technology at play 11 Planning ahead 13 Appendix A—Key Regulators and Exchanges 14 Appendix B—Key Market Abuse Behaviors 18 Endnotes 20 Market Abuse Outlook: Overview of Global Regulatory Priorities and Focus Areas Introduction N 2020, THE US regulator Commodity Futures In 2019 alone, regulators levied fines of Trading Commission (CFTC) filed a record approximately US$1.78 billion across as many as Inumber of enforcement actions related to 160 individual incidents in the United States, market abuse incidents that cumulatively United Kingdom (UK), and several countries in the accounted for more than US$1 billion.1 Over the Asia-Pacific (APAC) region2. In 2020, the trend past decade, numerous organizations have been continued; the pandemic provided a further found guilty of market abuse, driven by regulators’ opportunity for wrongdoing and manipulative adoption of advanced technologies for market behaviors, due to the widespread move to remote surveillance. This trend is evolving across a range working, and the dynamic market conditions of financial products, leading to hefty penalties associated with increased trading volumes and and multi-year remediation programs to address volatility. In parallel, over the past few years the regulatory expectations. financial services industry has been actively working toward an enhanced control environment In financial -
Algorithmic Trading Strategies
CSP050 MAY 2020 Algorithmic Trading Strategies ANZHELIKA ISHKHANYAN AND ASHER TRANGLE Memorandum TO: Special Counsel, CFTC Division of Market Oversight FROM: Director, CFTC Division of Market Oversight RE: Algorithmic Trading and Regulation Automated Trading DATE: January 9, 2020 Welcome to DMO. I’m confident that you’ll find the position a challenging one, and I’ve already got a meaty topic to get you started on. I recently received an email from the Chairman expressing his concerns regarding the negative effects of algorithmic trading on financial markets. The Chairman is convinced that the CFTC should have direct access to trading systems’ source code to prevent potential market abuses with systemic implications. To that end, the Chairman proposes we reconsider Regulation Automated Trading (“Regulation AT”) which would require all traders using algorithms to register with the CFTC and would give CFTC direct and unfettered access to their source code. Please find attached the Chairman’s email which outlines his priorities and main concerns pertaining to algorithmic trading. In addition, I have sketched out my own reactions to reconsidering Regulation AT in an informal memo, attached as Appendix I. In addition, you may find it useful to refer to a legal intern’s memoranda, attached as Appendix II, which offers a brief overview of Regulation AT, its history, and a short discussion of other regulators’ efforts to address algorithmic trading. After considering these materials, please come and brief me on the following questions: ● What, precisely, are the public policy challenges posed by the emergence of algorithmic trading, and does this practice pose any serious problems to U.S. -
Staff Report on Algorithmic Trading in U.S. Capital Markets
Staff Report on Algorithmic Trading in U.S. Capital Markets As Required by Section 502 of the Economic Growth, Regulatory Relief, and Consumer Protection Act of 2018 This is a report by the Staff of the U.S. Securities and Exchange Commission. The Commission has expressed no view regarding the analysis, findings, or conclusions contained herein. August 5, 2020 1 Table of Contents I. Introduction ................................................................................................................................................... 3 A. Congressional Mandate ......................................................................................................................... 3 B. Overview ..................................................................................................................................................... 4 C. Algorithmic Trading and Markets ..................................................................................................... 5 II. Overview of Equity Market Structure .................................................................................................. 7 A. Trading Centers ........................................................................................................................................ 9 B. Market Data ............................................................................................................................................. 19 III. Overview of Debt Market Structure .................................................................................................