Naked Short Selling: the Emperor's New Clothes?
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Short Sellers and Financial Misconduct 6 7 ∗ 8 JONATHAN M
jofi˙1597 jofi2009v2.cls (1994/07/13 v1.2u Standard LaTeX document class) June 25, 2010 19:56 JOFI jofi˙1597 Dispatch: June 25, 2010 CE: AFL Journal MSP No. No. of pages: 35 PE: Beetna 1 THE JOURNAL OF FINANCE • VOL. LXV, NO. 5 • OCTOBER 2010 2 3 4 5 Short Sellers and Financial Misconduct 6 7 ∗ 8 JONATHAN M. KARPOFF and XIAOXIA LOU 9 10 ABSTRACT 11 12 We examine whether short sellers detect firms that misrepresent their financial state- ments, and whether their trading conveys external costs or benefits to other investors. 13 Abnormal short interest increases steadily in the 19 months before the misrepresen- 14 tation is publicly revealed, particularly when the misconduct is severe. Short selling 15 is associated with a faster time-to-discovery, and it dampens the share price inflation 16 that occurs when firms misstate their earnings. These results indicate that short sell- 17 ers anticipate the eventual discovery and severity of financial misconduct. They also convey external benefits, helping to uncover misconduct and keeping prices closer to 18 fundamental values. 19 20 21 22 SHORT SELLING IS A CONTROVERSIAL ACTIVITY. Detractors claim that short sell- 23 ers undermine investors’ confidence in financial markets and decrease market 24 liquidity. For example, a short seller can spread false rumors about a firm 25 in which he has a short position and profit from the resulting decline in the 1 26 stock price. Advocates, in contrast, argue that short selling facilitates market 27 efficiency and the price discovery process. Investors who identify overpriced 28 firms can sell short, thereby incorporating their unfavorable information into 29 market prices. -
Asset Securitization
L-Sec Comptroller of the Currency Administrator of National Banks Asset Securitization Comptroller’s Handbook November 1997 L Liquidity and Funds Management Asset Securitization Table of Contents Introduction 1 Background 1 Definition 2 A Brief History 2 Market Evolution 3 Benefits of Securitization 4 Securitization Process 6 Basic Structures of Asset-Backed Securities 6 Parties to the Transaction 7 Structuring the Transaction 12 Segregating the Assets 13 Creating Securitization Vehicles 15 Providing Credit Enhancement 19 Issuing Interests in the Asset Pool 23 The Mechanics of Cash Flow 25 Cash Flow Allocations 25 Risk Management 30 Impact of Securitization on Bank Issuers 30 Process Management 30 Risks and Controls 33 Reputation Risk 34 Strategic Risk 35 Credit Risk 37 Transaction Risk 43 Liquidity Risk 47 Compliance Risk 49 Other Issues 49 Risk-Based Capital 56 Comptroller’s Handbook i Asset Securitization Examination Objectives 61 Examination Procedures 62 Overview 62 Management Oversight 64 Risk Management 68 Management Information Systems 71 Accounting and Risk-Based Capital 73 Functions 77 Originations 77 Servicing 80 Other Roles 83 Overall Conclusions 86 References 89 ii Asset Securitization Introduction Background Asset securitization is helping to shape the future of traditional commercial banking. By using the securities markets to fund portions of the loan portfolio, banks can allocate capital more efficiently, access diverse and cost- effective funding sources, and better manage business risks. But securitization markets offer challenges as well as opportunity. Indeed, the successes of nonbank securitizers are forcing banks to adopt some of their practices. Competition from commercial paper underwriters and captive finance companies has taken a toll on banks’ market share and profitability in the prime credit and consumer loan businesses. -
Auction Rate Securities 1
Auction Rate Securities 1 Auction Rate Securities (ARS) were marketed by broker-dealers to investors, including individuals, corporations and charitable foundations as liquid, short-term, cash-equivalent investments similar to traditional commercial paper. The securities, however, were long-term floating rate bonds or preferred stock with floating rate coupons which gave them a superficial similarity to short-term investments. ARS’s liquidity and similarity to short-term investments were entirely dependent on the presence of sufficient orders to buy outstanding ARS at periodic auctions in which they were bought and sold subject to a contractual ceiling on the interest rate the issuer would have to pay. If the interest rate that would clear the market was greater than this maximum rate, the auctions “failed” and existing holders of the securities were forced to hold securities they wanted to sell and had previously thought were liquid. If the demand for an ARS was too low to clear the market, broker dealers sponsoring the auction could place bids just below the maximum interest rate to clear the auction. The lower the public demand for an issue, the larger the quantity broker dealers had to buy to avoid a failed auction. Participating broker dealers had better information than public investors about the creditworthiness of the ARS issuers and were the only parties with information about the broker dealers’ holdings and inclination to abandon their support of the auctions. In addition, brokerage firms involved in the auctions knew of temporary maximum rate waivers negotiated with the issuers and the ratings agencies that allowed auctions that would have failed in late 2007 to continue to clear. -
Brut FIX Specifications
Brut, LLC Title: Brut ECN Order API with the FIX Protocol. Synopsis: Brut ECN API for the complete handling of orders with the Brut system from an external source. Status: Release 1.29g Date: June 2005 File Name: Brut-fix-standard.doc Version: Release 1.29g Personal And Confidential - Brut's Order API Copyright 2005, The Nasdaq Stock Market, Inc. All rights resewed. Brut is a facility of The Nasdaq Stock Market, Inc. CONTENTS: I. INTRODUCTION 1.1. Order Entry 1.2. Order Cancel 1.3. Order CancelReplace 1.4. Order Brut Only 1.5. Order Through Brut 1.6. Order Cross 1.7. Order Hunter 1.8. Order Market 1.9. Order Discretion 1.10. Order Institutional Handling 1.11. Order Pegging 1.12. Order Directed Cross 1.13. Order Post-Only 1.14. Order Aggressive Cross 1.15. Order Super Aggressive Cross 2. REQUIREMENTS AND PROCEDURES 2.1. Version FIX 4.0 2.2. Header Field 2.3. Session Protocol 3. FIELD AND HEADER DEFINITION 3.1. Field Definition 3.2. FIX Required Fields 3.3. Required Empty Fields 3.4. FIX Header Definition 3.5. Time In Force Definition 3.6. Liquidity Flag Definition 4. IN BOUND MESSAGES 4.1. New Order Single 4.2. Order CancelReplace Request 4.3. Order Cancel Request 5. OUT BOUND MESSAGES 5.1. Execution Report 5.2. Order Cancel Reject 5.3. Inbound Request Resulting with Outbound Messages Personal And Confidential - Brut's Order API Copyright 2005, The Nasdaq Stock Market, Inc. All rights reserved. Brut is a facility of The Nasdaq Stock Market, Inc. -
Order Approving a Proposed Rule Change to Add a New Discretionary Limit Order Type Called D-Limit
SECURITIES AND EXCHANGE COMMISSION (Release No. 34-89686; File No. SR-IEX-2019-15) August 26, 2020 Self-Regulatory Organizations; Investors Exchange LLC; Order Approving a Proposed Rule Change to Add a New Discretionary Limit Order Type Called D-Limit I. Introduction On December 16, 2019, the Investors Exchange LLC (“IEX” or the “Exchange”) filed with the Securities and Exchange Commission (“Commission”), pursuant to Section 19(b)(1) of the Securities Exchange Act of 1934 (“Exchange Act”)1 and Rule 19b-4 thereunder,2 a proposed rule change to adopt a new order type, the Discretionary Limit order (“D-Limit”). The proposed rule change was published for comment in the Federal Register on December 30, 2019.3 On February 12, 2020, the Commission designated a longer period within which to approve the proposed rule change, disapprove the proposed rule change, or institute proceedings to determine whether to disapprove the proposed rule change.4 On March 27, 2020, the Commission instituted proceedings to determine whether to approve or disapprove the proposed rule change (“OIP”).5 This order approves the proposed rule change. 1 15 U.S.C. 78s(b)(1). 2 17 CFR 240.19b-4. 3 See Securities Exchange Act Release No. 87814 (December 20, 2019), 84 FR 71997 (“Notice”). Comments on the proposed rule change can be found at https://www.sec.gov/comments/sr-iex-2019-15/sriex201915.htm. 4 See Securities Exchange Act Release No. 88186 (February 12, 2020), 85 FR 9513 (February 19, 2020). 5 See Securities Exchange Act Release No. 88501 (March 27, 2020), 85 FR 18612 (April 2, 2020). -
Japan to Normalize Short-Selling Regulations
lakyara vol.164 Japan to normalize short-selling regulations Sadakazu Osaki 10. May. 2013 Japan to normalize short-selling regulations vol.164 Executive Summary Japan's Financial Services Agency has unveiled plans to rescind the emergency short-selling restrictions imposed during the 2008 financial crisis and replace them with revised permanent regulations. Its proposed revisions are timely and sensible. They should help to improve market liquidity and price formation. Sadakazu Osaki Head of Research Center for Strategic Management and Innovation Emergency short-selling restrictions have remained in effect in Japan In March 2013, Japan's Financial Services Agency (FSA) released a draft of revised short-selling regulations. In Japan, short-selling restrictions were tightened as an emergency measure in response to the market turmoil triggered by Lehman Brothers' September 2008 collapse. These emergency restrictions are still in effect, having been extended 12 times. With the recently released revised regulations slated to take effect in November, regulation of short-selling in Japanese markets is set to finally return to normal. Short selling is an investment technique whereby an investor borrows from a third party securities that he does not currently own and sells them in the aim of repurchasing them later at a lower price. When a security is sold short, its market price reflects the investment opinion of investors that do not own the security in the cash market. Short selling also enhances market liquidity by increasing sell orders. It thus fulfills a legitimate economic function but it can also trigger steep price declines if certain stocks are heavily sold short within a short timeframe. -
Increasing Time Granularity in Electricity Markets
INCREASING TIME GRANULARITY IN ELECTRICITY MARKETS INNOVATION LANDSCAPE BRIEF © IRENA 2019 Unless otherwise stated, material in this publication may be freely used, shared, copied, reproduced, printed and/or stored, provided that appropriate acknowledgement is given of IRENA as the source and copyright holder. Material in this publication that is attributed to third parties may be subject to separate terms of use and restrictions, and appropriate permissions from these third parties may need to be secured before any use of such material. ISBN 978-92-9260-127-0 Citation: IRENA (2019), Innovation landscape brief: Increasing time granularity in electricity markets, International Renewable Energy Agency, Abu Dhabi. About IRENA The International Renewable Energy Agency (IRENA) is an intergovernmental organisation that supports countries in their transition to a sustainable energy future, and serves as the principal platform for international co-operation, a centre of excellence, and a repository of policy, technology, resource and financial knowledge on renewable energy. IRENA promotes the widespread adoption and sustainable use of all forms of renewable energy, including bioenergy, geothermal, hydropower, ocean, solar and wind energy in the pursuit of sustainable development, energy access, energy security and low-carbon economic growth and prosperity. www.irena.org Acknowledgements This report was prepared by the Innovation team at IRENA’s Innovation and Technology Centre (IITC) and was authored by Arina Anisie, Elena Ocenic and Francisco Boshell with additional contributions and support by Harsh Kanani, Rajesh Singla (KPMG India). Valuable external review was provided by Helena Gerard (VITO), Pablo Masteropietro (Comillas Pontifical University), Rafael Ferreira (former CCEE, Brazilian market operator) and Gerard Wynn (IEEFA), along with Carlos Fernández, Martina Lyons and Paul Komor (IRENA). -
Equities: Characteristics and Markets I. Reading. A. BKM Chapter 3
Lecture 3 Foundations of Finance Lecture 3: Equities: Characteristics and Markets I. Reading. A. BKM Chapter 3: Sections 3.2-3.5 and 3.8 are the most closely related to the material covered here. II. Terminology. A. Bid Price: 1. Price at which an intermediary is ready to purchase the security. 2. Price received by a seller. B. Asked Price: 1. Price at which an intermediary is ready to sell the security. 2. Price paid by a buyer. C. Spread: 1. Difference between bid and asked prices. 2. Bid price is lower than the asked price. 3. Spread is the intermediary’s profit. Investor Price Intermediary Buy Asked Sell Sell Bid Buy 1 Lecture 3 Foundations of Finance III. Secondary Stock Markets in the U.S.. A. Exchanges. 1. National: a. NYSE: largest. b. AMEX. 2. Regional: several. 3. Some stocks trade both on the NYSE and on regional exchanges. 4. Most exchanges have listing requirements that a stock has to satisfy. 5. Only members of an exchange can trade on the exchange. 6. Exchange members execute trades for investors and receive commission. B. Over-the-Counter Market. 1. National Association of Securities Dealers-National Market System (NASD-NMS) a. the major over-the-counter market. b. utilizes an automated quotations system (NASDAQ) which computer-links dealers (market makers). c. dealers: (1) maintain an inventory of selected stocks; and, (2) stand ready to buy a certain number of shares of stock at their stated bid prices and ready to sell at their stated asked prices. (a) pre-Jan 21, 1997, up to 1000 shares. -
Changing Business Models of Stock Exchanges and Stock Market Fragmentation
OECD Business and Finance Outlook 2016 Changing business models of stock exchanges and stock market fragmentation. This chapter from the 2016 OECD Business and Finance Outlook provides an overview of structural changes in the stock exchange industry. It provides data on CHANGING mergers and acquisitions as well as the changes in the aggregate revenue structure of major stock exchanges. It describes the fragmentation of the stock market resulting from an increase in stock exchange-like trading venues, such as alternative trading BUSINESS MODELS systems (ATSs) and multilateral trading facilities (MTFs), and a split between dark (non-displayed) and lit (displayed) trading. Based on firm-level data, statistics are provided for the relative distribution of stock trading across different trading venues as well as for different OF STOCK EXCHANGES trading characteristics, such as order size, company focus and the total volumes of dark and lit trading. The chapter ends with an overview of recent regulatory initiatives aimed at maintaining market fairness and a level playing field among investors. AND STOCK MARKET Find the OECD Business and Finance Outlook online at www.oecd.org/daf/oecd-business-finance-outlook.htm FRAGMENTATION This work is published under the responsibility of the Secretary-General of the OECD. The opinions expressed and arguments employed herein do not necessarily reflect the official views of OECD member countries. This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. OECD Business and Finance Outlook 2016 © OECD 2016 Chapter 4 Changing business models of stock exchanges and stock market fragmentation This chapter provides an overview of structural changes in the stock exchange industry. -
Options and the Bubble
Options and the Bubble ROBERT BATTALIO and PAUL SCHULTZ* ABSTRACT Many believe that a bubble existed in Internet stocks in the 1999 to 2000 period, and that short-sale restrictions prevented rational investors from driving Internet stock prices to reasonable levels. In the presence of such short-sale constraints, option and stock prices could decouple during a bubble. Using intraday options data from the peak of the Internet bubble, we find almost no evidence that synthetic stock prices diverged from actual stock prices. We also show that the general public could cheaply short synthetically using options. In summary, we find no evidence that short-sale restrictions affected Internet stock prices. *Both authors, Mendoza College of Business, University of Notre Dame. We thank Morgan Stanley & Co., Inc. for financial support. The views expressed herein are solely those of the authors and not those of any other person or entity including Morgan Stanley. We thank an anonymous firm for providing the option data used in our analysis. We gratefully acknowledge comments from seminar participants at the University of North Carolina, the University of Notre Dame, the 2005 American Finance Association meetings, the 2005 Morgan Stanley Equity Microstructure Conference, the 2005 Western Finance Association meetings, Marcus Brunnermeier, Shane Corwin, Tim Loughran, Stewart Mayhew, Allen Poteshman, Matthew Richardson, Robert Whitelaw, and an anonymous referee. Prices of Nasdaq-listed technology stocks rose dramatically in the late 1990s, peaked in March 2000, and then lost more than two-thirds of their value over the next two years. Many of the largest price run-ups and subsequent collapses were associated with Internet stocks. -
'Over the Edge' – Energy Risk Trading in a Negative Demand Environment
IAEE Energy Forum / Second Quarter 2021 ‘Over the edge’ – energy risk trading in a negative demand environment BY FARHAD BILLIMORIA Farhad Billimoria is with the Energy Abstract Minimum demand trends & Power Group, and tip-over points Department of Large scale distributed energy resource deployment Engineering Science, is expected to result in negative regional demand in With ongoing growth in rooftop University of Oxford, grid-edge markets. While the price signal provides the solar deployment, South Australia and is an energy economic rationale for consumption, a cohesive risk is likely to be the first gigawatt scale professional with management framework for negative prices under- power system in the world to reach over fourteen years pinned by foundation risk trading mechanisms are of global energy negative operational demand. The experience. He required for co-ordinated operational, commercial and Australian Energy Market Operator investment decision-making. may be reached at (AEMO) expects this to occur within farhad.billimoria@ the next 1-3 years. Other regions Introduction gmail.com in the National Electricity Market On Sunday 11 October 2020, just past midday, a (NEM)of Australia such Victoria are also following in this new record for minimum demand of 300MW was set trend (with negative tip-over expected in the next 6-7 in the South Australia region of the National Electricity years), which suggests that by the next decade a signif- Market (NEM). Minimum operational demand levels in icant portion of the grid may face negative minimum the region have been on a steep downward trend since demand. While there are characteristics of the system 2012, and with ongoing deployment of rooftop solar is and topology that make the challenge in NEM unique, projected to tip over into negative minimum demand- this is also of relevance for grids experiencing signifi- between 2021 and 2024. -
Characteristics Which Predict Naked Short Selling
Journal of Finance and Accountancy Volume 21 Over-the-counter delivery failures: Characteristics which predict naked short selling Paul Ziegler University of Mary Hardin-Baylor Chris Neuenschwander Anderson University ABSTRACT This research deals with the impact of naked short selling on small firms whose stock is traded “over the counter”. Virtually all research into naked short selling has been conducted using data taken exclusively from the major exchanges. Existing research continues to focus on major exchanges even as regulators stress that small firms, in particular those trading over-the- counter, are the most vulnerable to manipulation. Using publically available information, this study has found that several variables including the average daily trading volume, the number of shares in float, and a firm’s market capitalization can be used to identify firms which might be subject to a higher level of naked short selling as identified by post-trade delivery failures. Keywords: Naked short selling, delivery failure, Over-the-Counter Copyright statement: Authors retain the copyright to the manuscripts published in AABRI journals. Please see the AABRI Copyright Policy at http://www.aabri.com/copyright.html Over the counter, Page 1 Journal of Finance and Accountancy Volume 21 INTRODUCTION This research was conducted to discover if directly observable firm characteristics for stocks which trade over-the-counter can be used to predict the level of naked short selling. Generally speaking, stock traded directly between broker/dealers rather than via a formal exchange are termed “over-the-counter” or OTC. Often these firms are small and do not meet the listing requirements of a formal exchange, such as trading volume, market capitalization, or meeting required reporting standards.