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  • science

    • Handbook of Short Selling

  • science(1)

    • Copyright

  • science(2)

    • Preface

  • science(3)

    • Acknowledgments

  • science(4)

    • About the Editor

  • science(5)

    • Contributor Bios

  • science(6)

    • 1 Short Sales and Financial Innovation: How to Take the Good While Avoiding Widespread Default

      • 1.1 Introduction

      • 1.2 Markets with Short Sales

      • 1.3 Gains from Trade

        • 1.3.1 Market Equilibrium

      • 1.4 Social Diversity, Volatility, and Default

      • 1.5 Financial Innovation Creates Systemic Risks of Widespread Defaults

      • 1.6 Introducing Graduated Reserves

      • 1.7 Graduated Reserves Restore Stability and Prevent Default

      • 1.8 Conclusion

      • Acknowledgments

      • References

  • science(7)

    • 2 The Goldman Sachs Swaps Shop: An Examination of Synthetic Short Selling through Credit Default Swaps and Implications of ...

      • 2.1 Introduction

        • 2.1.1 Collateralized Debt Obligations

        • 2.1.2 Credit Default Swaps

      • 2.2 “Weapons of Mass Financial Destruction”

        • 2.2.1 Credit Default Swaps and the Sovereign Debt Crisis

        • 2.2.2 The Paulson “Put”

      • 2.3 Key Sources of Relevant U.S. Securities Law

        • 2.3.1 Derivatives Regulation—CDO and CDS

        • 2.3.2 “Short Sale” Definition Excludes CDS

      • 2.4 SEC v. Goldman Sachs & Co., et al.—The Complaint

        • 2.4.1 Securities and Exchange Commission Antifraud Enforcement Theories

        • 2.4.2 The Goldman Settlement

        • 2.4.3 Fab Fights Back during His 15 Minutes of Fame—The Answer

        • 2.4.4 The Key Legal Element: Materiality

        • 2.4.5 “Doing God’s Work”—Factual Rebuttals and Legal Defenses18

      • 2.5 Vampyroteuthis Infernalis—Collateral Consequences

        • 2.5.1 One Costly Debate—No Shortage of CDS Critics and Advocates

      • 2.6 Conclusion

      • Acknowledgments

      • References

      • Bibliography

  • science(8)

    • 3 Off-Shore Short Sales after Morrison: Will the Securities and Exchange Commission Be Emboldened or Constrained?

      • 3.1 Introduction

      • 3.2 Goldman and Paulson Enter into a Marriage of Convenience

      • 3.3 The Securities and Exchange Commission Charges Goldman and Tourre with Securities Fraud in Connection with ABACUS …

        • 3.3.1 Morrison Curbs Extraterritorial Application of Federal Securities Law

        • 3.3.2 Tourre Sought Judgment on the Pleadings Based on Morrison

        • 3.3.3 The SEC Opposition Advanced an Expansive and Malleable Morrison

        • 3.3.4 Tourre Retreats from Morrison and Colorfully Attacks the SEC Position as Encouraging “Judicial-Speculation-Made-Law”

      • 3.4 Climax: Dodd–Frank Affords the Securities and Exchange Commission Extraterritorial Jurisdiction

        • 3.4.1 Dodd–Frank as Deus ex Machina

        • 3.4.2 Dodd–Frank Codifies the “Conduct and Effects” Test and Gives Shape to an Expanded Enforcement Regime

      • 3.5 Conclusion—Tourre and His Cohorts Celebrate a Pyrrhic Victory

      • Bibliography

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    • 4 Regulating Short Sales in the 21st Century

      • 4.1 Introduction

      • 4.2 U.S. Short Sale Regulation Background

        • 4.2.1 The Tick Test

        • 4.2.2 Tick Test Elimination and 2008 Temporary Emergency Rules

      • 4.3 Current Securities and Exchange Commission Regulation of Short Selling Activity

        • 4.3.1 The Rule 201 Price Test

        • 4.3.2 Public Disclosure by Institutional Investment Managers

        • 4.3.3 Borrowing and Delivery Requirements

      • 4.4 Conclusion

      • Acknowledgment

      • References

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    • 5 Evolution of Short Selling Regulations and Trading Practices

      • 5.1 Introduction

      • 5.2 Literature Review

      • 5.3 Historical Background on Short Selling

      • 5.4 Short Selling and Financial Crisis

      • 5.5 A Detailed Analysis of Short Selling in Recent Times

        • 5.5.1 Descriptive Statistics

        • 5.5.2 Divergence of Opinion

      • 5.6 Conclusion

      • References

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    • 6 Financing Techniques for Short Sellers

      • 6.1 Introduction

      • 6.2 Introducing the Repo Market for Fixed Income Securities

      • 6.3 Length of Trades

      • 6.4 Special Rate

      • 6.5 The Repo Market in Bankruptcy

      • 6.6 Haircuts and Margin Maintenance

      • 6.7 Financing Equity Short Positions

      • 6.8 In Lieu Payments and Other Rights

      • 6.9 Financing Currency Short Positions

      • 6.10 Financing Commodity Short Positions

      • 6.11 Trading in the Lending Markets

      • 6.12 Conclusion

      • References

      • Bibliography

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    • 7 A Survey of Short Selling in Canada

      • 7.1 Introduction

      • 7.2 Current Regulations

        • 7.2.1 The Uptick Rule

        • 7.2.2 Naked Short Sales

        • 7.2.3 Insiders and Short Sales

      • 7.3 Taxation of Short Sales

      • 7.4 Recent Trends in Canada

        • 7.4.1 Short Selling as a Percentage of Trading Activity

        • 7.4.2 Comparative Trade Attributes of Short Sales

        • 7.4.3 Short Exempt as a Proportion of Short Selling

        • 7.4.4 Prevalence of Short Position Reporting

        • 7.4.5 Relationship between Rates of Short Selling and Market Stress

      • 7.5 Impact of Recent Short Sale Prohibition

        • 7.5.1 Effect on Price Levels

        • 7.5.2 Trade Rate Review

        • 7.5.3 Volume Rate Review

        • 7.5.4 Review of Short Selling

        • 7.5.5 Effect on Market Quality

        • 7.5.6 Changes in Short Position

      • 7.6 Conclusion

      • References

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    • 8 Are Restrictions on Short Selling Good? A Look at European Markets

      • 8.1 Introduction

      • 8.2 Short Selling Bans and Analysis of Market Reactions

      • 8.3 Committee of European Securities Regulators Initiative and Its Impacts on Professional Equity Investments

      • 8.4 Conclusion

      • References

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    • 9 Short Selling, Clearing, and Settlement in Europe: Relations and Implications

      • 9.1 Introduction

      • 9.2 Short Selling and Settlement Risk

        • 9.2.1 Understanding Fails: Determinants and Consequences of Fails

        • 9.2.2 Short Selling as a Potential Cause of Settlement Risk

      • 9.3 Settlement Discipline in Europe

        • 9.3.1 Measures to Prevent Fails

        • 9.3.2 Measures to Discourage Fails

        • 9.3.3 Measures to Mitigate the Adverse Effects of Fails

      • 9.4 Relation between Short Selling Market Discipline and Settlement Discipline

      • 9.5 Impact of Short Selling and Fails on the Effectiveness of Settlement Discipline Measures

      • 9.6 Conclusion

      • References

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    • 10 The 2008 Emergency Regulation of Short Selling in the United Kingdom, United States, and Australia

      • 10.1 Introduction

      • 10.2 Objectives of Securities Regulation

        • 10.2.1 Objectives of Individual Securities Regulators

      • 10.3 Analysis of Emergency Responses

        • 10.3.1 Definition of Short Sale and Title Issues

        • 10.3.2 Short Selling Is a Legitimate Practice But...

      • 10.4 Types and Range of Initiatives

        • 10.4.1 Use of Disclosure-Based Initiatives

        • 10.4.2 Prohibition/Restriction Initiatives

        • 10.4.3 Managing Settlement Risk

      • 10.5 Conclusion

      • References

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    • 11 Reflections on Short Selling Regulations in Western and Eastern Europe

      • 11.1 Introduction

      • 11.2 A Review of the National Regulatory Regimes in the European Union (EU)

        • 11.2.1 Austria

        • 11.2.2 Belgium

        • 11.2.3 Denmark

        • 11.2.4 Finland

        • 11.2.5 France

        • 11.2.6 Germany

        • 11.2.7 Greece

        • 11.2.8 Ireland

        • 11.2.9 Italy

        • 11.2.10 Luxembourg

        • 11.2.11 The Netherlands

        • 11.2.12 Norway

        • 11.2.13 Portugal

        • 11.2.14 Spain

        • 11.2.15 United Kingdom

      • 11.3 The Case of Eastern Europe

        • 11.3.1 The Case of Undertakings for Collective Investments in Transferable Securities (UCITS)

      • 11.4 The New European Commission’s Draft Regulation

        • 11.4.1 The Draft Proposal

        • 11.4.2 Case Study: Porsche versus VW

      • 11.5 Conclusion

      • References

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    • 12 Regulating Short Selling: The European Framework and Regulatory Arbitrage

      • 12.1 Introduction

      • 12.2 Theoretical Views of Short Selling Regulation

      • 12.3 European Regulations after the Lehman Brothers Collapse

        • 12.3.1 Short Selling Regulation in the United Kingdom

        • 12.3.2 Short Selling Regulation in Germany

        • 12.3.3 Short Selling Regulation in France

        • 12.3.4 Short Selling Regulation in Italy

      • 12.4 Regulatory Asymmetries and Arbitrage

      • 12.5 Conclusion

      • References

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    • 13 Do Option Prices Reveal Short Sale Restrictions Impact on Banks’ Stock Prices? The German Case

      • 13.1 Introduction

      • 13.2 Literature Review

      • 13.3 Methodology

      • 13.4 Data

      • 13.5 Do Options Prices Reveal Short Sale Restrictions?

      • 13.6 Conclusion

      • References

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    • 14 Short Selling in France during the Crisis, the Bans, and What Has Changed since the Euro Correction

      • 14.1 Introduction

      • 14.2 Literature Review

      • 14.3 Regulatory Developments Concerning Short Selling in France

      • 14.4 Statistics

        • 14.4.1 The Effect of the Ban in France

        • 14.4.2 Comparison to Switzerland and Sweden

      • 14.5 Discussion

      • References

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    • 15 The Chinese Real Estate Bubble: Is It an Opportunity for Short Selling?

      • 15.1 Introduction

      • 15.2 Comparison with the United States

      • 15.3 The Bubble in China

      • 15.4 The Debt Deflation Model—Does It Apply to China?

      • 15.5 The Stock Market—Forecasting the Bursting of the Bubble?

      • 15.6 Problems in Shorting Chinese Stocks

      • 15.7 Conclusion

      • References

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    • 16 Introduction of Margin Trading and Short Selling in China’s Securities Market: The Case of Disordered Warrant Prices

      • 16.1 Introduction

      • 16.2 The Disordered Warrant Price in China’s Securities Market

      • 16.3 Development of Margin Trading and Short Selling in China

      • 16.4 Introduction and Interpretation of China’s Key Rules on Margin Trading and Short Selling

        • 16.4.1 Dealer Limits, Investor Limits, and Account Limits

        • 16.4.2 Margin Trading and Short Selling with Brokerage Firms’ Funds and Securities

        • 16.4.3 Underlying Stock Limits, Collateral Limits, and Margin Limits

        • 16.4.4 Certain Regulations of Trading: Tick Rule, Duration Limits, Amount Limits, and Naked Short Selling Limits

      • 16.5 Conclusion

      • Acknowledgments

      • References

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    • 17 Impact of Short Selling on China Stock Prices

      • 17.1 Introduction

      • 17.2 Literature Review

        • 17.2.1 Reasons for Securities Lending and Borrowing

        • 17.2.2 Impact of Short Selling on Asset Prices

      • 17.3 Methodology

      • 17.4 Sample and Hypotheses

      • 17.5 Empirical Findings

      • 17.6 Conclusion

      • References

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    • 18 Short Selling the Real Estate Bubble in China

      • 18.1 Introduction

      • 18.2 Is There a Bubble in China’s Real Estate Market?

      • 18.3 How to Short Sell the Real Estate Bubble

      • 18.4 Conclusion

      • References

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    • 19 Impact of Macroeconomic Indicators on Short Selling: Evidence from the Tokyo Stock Exchange

      • 19.1 Introduction

      • 19.2 Data and Brief Overview of Japanese Macroeconomic Indicators

      • 19.3 Data and Methodology

        • 19.3.1 Granger Causality between Macroeconomic Variables and Short Selling

        • 19.3.2 Cointegration between Short Selling Volume and the Nikkei 225 Index

      • 19.4 Conclusion

      • Data Appendix

      • References

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    • 20 New Regulatory Developments for Short Selling in Asia: A Review

      • 20.1 Introduction

      • 20.2 Typical Short Selling Constraints

      • 20.3 Examples of a Few Asian Countries

        • 20.3.1 Hong Kong

        • 20.3.2 Korea

        • 20.3.3 Taiwan

        • 20.3.4 Japan

        • 20.3.5 Singapore

        • 20.3.6 Australia

        • 20.3.7 Indonesia

        • 20.3.8 China

        • 20.3.9 India

        • 20.3.10 Malaysia

        • 20.3.11 Other Countries

      • 20.4 Recent Developments in China

      • 20.5 Conclusion

      • References

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    • 21 The Signaling of Short Selling Activity in Australia

      • 21.1 Introduction

        • 21.1.1 Australian Regulation

        • 21.1.2 Signaling Theory

      • 21.2 Literature Review

      • 21.3 Data and Methodology

      • 21.4 Findings

      • 21.5 Conclusion

      • References

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    • 22 Sourcing Securities for Short Sales: The Proper Legal Characterization of Securities Loans

      • 22.1 Introduction

      • 22.2 Transactional Attributes of Securities Loans

      • 22.3 Securities Loans and Short Sales

      • 22.4 Securities Loans and Voting Rights

      • 22.5 Legal Characterization of Securities Loans

      • 22.6 Conclusion

      • References

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    • 23 Short Selling in Emerging Markets: A Comparison of Market Performance during the Global Financial Crisis

      • 23.1 Introduction

      • 23.2 Short Selling in Emerging Markets: Main Characteristics

      • 23.3 Emerging Market Main Indicators

        • 23.3.1 Market Performance during the Last Decade (2002–2010)

        • 23.3.2 Comparison of Market Performance during the Global Financial Crisis (2007–2010)

      • 23.4 Conclusion

      • References

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    • 24 Short Selling and the Problem of Market Maturity in Latin America

      • 24.1 Introduction

      • 24.2 Review of National Regulatory Regimes in Latin America

        • 24.2.1 Legality and Feasibility of Short Sales

        • 24.2.2 Review of Regulatory Regimes in Latin America

      • 24.3 Previous Studies on Short Selling in Latin America

      • 24.4 The Practice of Short Selling in Latin America

        • 24.4.1 Currency Markets

        • 24.4.2 Debt Markets

        • 24.4.3 Stock Markets

          • 24.4.3.1 Analysis of Latin American Stock Markets

          • 24.4.3.2 Market Development

      • 24.5 Conclusion

      • References

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    • 25 Short Selling—The Ambrosia or Kryptonite of Emerging Markets?

      • 25.1 Introduction

      • 25.2 Emerging Market Benefits from Short Selling

      • 25.3 Risk of Short Selling to an Emerging Market

      • 25.4 Short Selling in BRIC Nations

        • 25.4.1 Brazil

        • 25.4.2 Russia

        • 25.4.3 India

        • 25.4.4 China

      • 25.5 Short Selling in Other Key Areas

        • 25.5.1 South Korea

        • 25.5.2 Indonesia

        • 25.5.3 United Arab Emirates

        • 25.5.4 Eastern Europe

      • 25.6 Helpful Investor Mechanisms

      • 25.7 Conclusion

      • References

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    • 26 Short Selling Consistency in South Africa

      • 26.1 Introduction

      • 26.2 Johannesburg Stock Exchange and Financial Markets Regulation

      • 26.3 South African Markets prior to and during the Global Financial Crisis

      • 26.4 South African Short Selling Rules

      • 26.5 Conclusion

      • Acknowledgment

      • References

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    • 27 Short Selling in Russia: Main Regulations and Empirical Evidence from Medium- and Long-Term Portfolio Strategies

      • 27.1 Introduction

      • 27.2 Main Regulations and Practices

        • 27.2.1 Current Situation

        • 27.2.2 The Short Selling Ban in 2008 and 2009

        • 27.2.3 Brokers That Allow Short Selling and Average Costs

        • 27.2.4 A Brief Summary of Russian Markets Risk and Performance Indicators

      • 27.3 Empirical Analysis: A Comparison of Asset Allocation Strategies

      • 27.4 Conclusion

      • References

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    • 28 Performance Persistence of Short-Biased Hedge Funds

      • 28.1 Introduction

      • 28.2 What Are Short-Biased Hedge Funds?

      • 28.3 Past Performance of Short-Biased Hedge Funds

      • 28.4 Future Performance of Short-Biased Hedge Funds

      • 28.5 Asset Allocation and Short-Biased Hedge Funds

      • 28.6 Conclusion

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    • 29 An Empirical Analysis of Short-Biased Hedge Funds’ Risk-Adjusted Performance: A Panel Approach

      • 29.1 Introduction

      • 29.2 Literature Review

      • 29.3 Data Analysis

      • 29.4 Empirical Analysis: A Panel Approach

      • 29.5 Conclusion

      • Acknowledgment

      • References

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    • 30 Short Selling by Portfolio Managers: Performance and Risk Effects across Investment Styles

      • 30.1 Introduction

        • 30.1.1 What Is a Short Sale?

        • 30.1.2 What Is a Naked Short Sale?

        • 30.1.3 What Is the “Uptick” Rule?

        • 30.1.4 Historical Perspective on Short Selling

        • 30.1.5 Recent Crisis

      • 30.2 Data Description

      • 30.3 Research Question/Hypothesis

      • 30.4 Methodology

      • 30.5 Results

        • 30.5.1 Does Short Selling Have an Overall Impact on Return across All Managers?

        • 30.5.2 Does Short Selling Have a Differential Return Impact for Specific Types of Managers?

        • 30.5.3 Does Short Selling Have an Overall Impact on Risk across All Managers?

        • 30.5.4 Does Short Selling Have a Differential Risk Impact for Specific Types of Managers?

      • 30.6 Conclusion

      • References

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    • 31 Short Selling in an Asset Allocation Framework—The Search for Alpha

      • 31.1 Introduction

      • 31.2 A Stylized Example

      • 31.3 Alpha Transportation in Practice

      • 31.4 An Illustrative Example

        • 31.4.1 Transporting Fund of Funds Alpha

        • 31.4.2 Data

        • 31.4.3 Empirical Results

      • 31.5 Conclusion

      • References

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    • 32 Machine Learning and Short Positions in Stock Trading Strategies

      • 32.1 Introduction

      • 32.2 Literature Review

        • 32.2.1 Support Vector Machines in Classification

        • 32.2.2 Logistic Regression

      • 32.3 Data and Methodology

        • 32.3.1 Methodology

        • 32.3.2 Investment Strategy

      • 32.4 Empirical Results

      • 32.5 Conclusion

      • Acknowledgment

      • References

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    • 33 Short Selling Stock Indices on Signals from Implied Volatility Index Changes: Evidence from Quantile Regression-Based Techniques

      • 33.1 Introduction

      • 33.2 Literature Review

        • 33.2.1 Quantile Regression

        • 33.2.2 Kernel Quantile Regression

        • 33.2.3 Quantile Regression Forests

      • 33.3 Data and Methodology

        • 33.3.1 Trading Strategy

      • 33.4 Results

      • 33.5 Conclusion

      • Acknowledgment

      • References

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    • 34 Short Selling and the Equity Premium Puzzle

      • 34.1 Introduction

      • 34.2 Theory

      • 34.3 Data

      • 34.4 Impact of Short Selling in a Heterogeneous Group of Investors

      • 34.5 Discussion

      • 34.6 Conclusion

      • Acknowledgment

      • References

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    • 35 Affine Term Structure Models and Short Selling: The Liberal Case against Prohibitions

      • 35.1 Introduction

      • 35.2 Affine Term Structure Models

      • 35.3 Macroeconomic Shocks Affecting Government Surpluses Are Affine

      • 35.4 Some Evidence on Affine Term Structure Models

      • 35.5 Risks of Sovereign Debt Rollover

      • 35.6 How Multiple Equilibrium Works and How It Could Result in “Runs” on Government Issuances

      • 35.7 Prohibition in Naked Short Selling: A Poor Workaround with Little Effective Consequences

      • 35.8 Conclusion

      • Acknowledgment

      • References

      • Bibliography

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    • 36 Short Sale Constraints in the Equity Market and the Term Structure of Interest Rates

      • 36.1 Introduction

      • 36.2 Data and Method

        • 36.2.1 Data Description

        • 36.2.2 Summary Statistics

        • 36.2.3 Empirical Method

      • 36.3 Main Findings

        • 36.3.1 The Ban and Daily Innovations

        • 36.3.2 The Ban and Daily Volatility of Innovations

        • 36.3.3 The Ban and Daily Skewness of Innovations

        • 36.3.4 The Ban and Daily Kurtosis of Innovations

      • 36.4 Conclusion and Policy Implications

      • References

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    • 37 Short Selling Assessment Where Consumer Prices Involve Both Currency Trades and Weather Shocks

      • 37.1 Introduction

      • 37.2 Methodology

        • 37.2.1 The Fixed Forgetting Factor

        • 37.2.2 VECM Modeling for an I(1) System

      • 37.3 Data and Empirical Application

      • 37.4 Conclusion

      • References

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    • 38 Aggregate Short Selling during Earnings Seasons

      • 38.1 Introduction

      • 38.2 Data and Methodology

      • 38.3 Empirical Results

      • 38.4 Conclusion

      • References

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    • 39 The Information Content of Short Selling before Macroeconomic Announcements

      • 39.1 Introduction

      • 39.2 Data Sources and Sample Details

      • 39.3 Measures and Methods

      • 39.4 Results

      • 39.5 Conclusion

      • References

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    • Index

      • A

      • B

      • C

      • D

      • E

      • F

      • G

      • H

      • I

      • J

      • K

      • L

      • M

      • N

      • O

      • P

      • Q

      • R

      • S

      • T

      • U

      • V

      • W

      • Z

Nội dung

Handbook of Short Selling Handbook of Short Selling Greg N. Gregoriou Editor AMSTERDAM • BOSTON • HEIDELBERG • LONDON NEW YORK • OXFORD • PARIS • SAN DIEGO SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO Academic Press is an imprint of Elsevier Academic Press is an imprint of Elsevier 225 Wyman Street, Waltham, MA 02451, USA The Boulevard, Langford Lane, Kidlington, Oxford, OX5 1GB, UK © 2012, Elsevier Inc. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the Publisher. Details on how to seek permission, further information about the Publisher’s permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions. This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein). Notices Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary. Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein. In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility. To the fullest extent of the law, neither the Publisher nor the authors, contributo rs, or editors, assume any liability for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions, or ideas contained in the material herein. Library of Congress Cataloging-in-Publication Data Gregoriou, Greg N., 1956- Handbook of short selling / Greg N. Gregoriou. p. cm. ISBN 978-0-12-387724-6 1. Short selling. 2. Speculation. 3. Risk-taking (Psychology) I. Title. HG6041.G725 2012 332.64'5–dc23 2011020284 British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library. For information on all Academic Press publications visit our Web site at www.elsevierdirect.com Typeset by: diacriTech, Chennai, India Printed in the United States of America 111213141516 7654321 Preface This handbook differs from other edited books because on a global scale it addresses new rules and regulations about short selling. Quan titative papers in this book use the latest data available, but more importantly, the papers are written by well-known academics and money managers. Many investors believe that short sellers are responsible for market down- turns, but academic theory does not suggest this. Instead, short sellers create liquidity in markets and are the best at spotting overpriced stocks as well as m aking markets more efficient through the aid of p rice discovery. This short selling handbook comes at a time when financial markets world- wide are recuperating from the credit crisis and the global c arnage of 2008. It can assist investors, hedge fund managers, investment analysts, research analysts, lawyers, account ants, endowments, found ations, and high net worth i ndividuals to better understand short selling during and after the crisis of 2008. The 39 chapters in this handbook will be a valuable source of information to anyone interested in short selling. Among its most exciting subjects are views of what the regulators temporarily did to ban shor t selling in o rder to prevent markets from further collapse. Contributors look both at developed global markets and emerging markets. They also take up naked short selling, the ethics of short sell ing, and other important issues. The first section of the book is devoted to regulation in the United States with a chapter for Canada. The second section examines both eastern and western European m arkets, while the third focuses on Japan, China, and Australia. Section four investigates short selling in Russia and in emerging marketssuchasinLatinAmericaandSouthAfrica.Thefifthsectionexam- ines portfolio management and performance of short biased hedge funds, xvii short selling by portfolio managers, and more. The last section addresses modeling, earnings, announcements, and term structure in a short selling framework. In short, the book does a tour of every c ontinent to investigate short selling during the recent market meltdown. For more information see the companion site at http://www.elsevierdirect .com/companion.jsp?ISBN=9780123877246 xviii Preface . Acknowledgments I thank the handful of anonymous referees during the selection process. In addition, I also thank J. Scott Bentley, Ph.D., executive finance editor at Elsevier, for his helpful sugge stions to ameliorate this book, Kathleen Paoni, editorial project manager as well as Heather Tighe, associate project manager at Elsevier. I also thank Sol Waksman, president at Barclay Hedge, for sup- plying hedge fund data for Chapter 29. In addition, we thank PerTrac for the use of PerTrac Analytics which enabl ed critical parts of our analysis in Chapter 29. Each contributor is responsible for his or her own chapter. Neither the editor nor the publisher is responsible for chapter content. xix About the Editor A native of Montreal, Professor Greg N. Gregoriou obtained his Joint Ph.D. at the University of Quebec at Montreal (UQAM) in Finance which merges the resources of Montreal’s four major universities UQAM-McGill-Concordia-HEC. He is Professor of Finance at State University of New York (Plattsburgh). He has published 43 books, 60 refereed publications in peer-reviewed journals, and 20 book chapte rs since his arrival at SUNY Plattsburgh in August 2003. His books have been published by McGraw-Hill, John Wiley & Sons, Elsevier-Butterworth/Heinemann, Taylor and Francis/CRC Press, Palgrave-Macmillan, and Risk Books. In addition, his articles have appeared in the Review of Asset P ricing Studies, Journal of Portfolio Management, Journal of Futures Markets, European Journal of Operational Research, Annals of Opera- tions Research, Computers and Operations Research,etc.ProfessorGregoriou is hedge fund editor and editorial board member for the Journal of Deriva- tives and Hedge Funds, as well as editorial board member for the Journal of Wealth Management,theJournal of Risk M anagement in Financial Institutions, Market Integrity, IEB International Journal of Finance,andtheBrazilian Busi- ness Review. Professor Gregoriou ’s interests focu s on hedge funds, funds of funds, and C TAs. He also is Research Associate at the EDHEC Business School in Nice, France . xxi Contributor Bios Paul U. Ali is an associate professor in the Faculty of Law, University of Melbourne, and a member of that law faculty’s center for Co rporate Law and Securities Regulation. Prior to becoming an academic, Paul was, for sev- eral years, a l awyer in Sydney. Paul has published widely on banking and finance law, derivatives, securitization,andstructuredfinance,including,in 2009, a book on credit derivatives. Paul has also recently participated in Joint India-IMF a nd M alaysia-IMF training programs as p art of an IMF project on derivatives in emerging markets. DavidE.Allenis a professor of finance a t Edith Cowan University, Perth, Western Australia. He is the author of three monographs and over 70 refereed publications on a diver se rang e of topics covering corporate finan- cial policy decisions, asset pricing, business economics, funds management and performance bench-marking, volatility modeling and hedging, and market microstructure and liquidity. Jørgen Vitting Andersen, Ph.D., is a physicist and a senior researcher at CNRS, University of Nice (France). He has broad international experience and has worked at the following universities: Paris X (France), McGill (Canada), Nordita (Denmark), and Imperial College (UK). Over the last 10 years he h as published a series of seminal papers in the new domain of econophysics, applying ideas from complexity theory to financial markets. Paul Brockman is the Joseph R. Perella and Amy M. Perella Chair of Finance at Lehigh University. He holds a B.A. degree in interna tional studies from Ohio State University (summa cum laude), an M.B.A. degree from Nova Southeastern Unive rsity (accounting minor), a nd a Ph.D. in finance (eco- nomics minor) from Louisiana State University. He received his certified public accoun tant (CPA) designation (Florida, 1990) and worked for several years as an accountant, cash ma nager, and futures and options trader. His xxiii academic publications have appeared in such journals as the Journal of Finance, Journal of Financial Economics, Journal of Financial and Quant itative Analysis, Journal of Banking and Finance, Journal of Corporate Finan ce ,andthe Journal of Empirical Finance, among others. Pau l has served as a member of the editorial board for the Journal of Multinational Financial Management and the Hong Kong Securities Institute’s Securities Journal. Soufiane Cherkaoui awa its admission to practice law in the state of New York and is presently an LL.M. d egree candidate in the Fordh am University School of Law Corporate, Banking and Finance Law program. He holds a Juris Doctor from Pace University Law School and a B.A. from New York University. Graciela Chichilnisky has worked extensively in the Kyoto Protocol process, creatin g and designing the carbon marke t concept t hat becam e international law in 2005. She also ac ted as a lead author of the Intergovernmental Panel on Climate Change, which received the 2007 N obel Prize. A frequent key- note speaker and special adviser to several UN o rganizations and heads of state, her pioneering work uses i nnovative mark et mecha nisms to redu ce carbon emissions, conserve biodiversity and ecosystem services, and improve the lot of the poor. She is a professor of economics and mathematical statis- tics at Columbia University and the Sir Louis Matheson Distinguished Professor at Monash University. Her mo st recent book is Saving Kyoto,coau- thored with K. Sheeran. Stefano Corradin is an economist at Europ ean Central Bank, rese arch division. He earned his B.A. in economics from the University of Verona (1998), his M.Sc. in economics from CORIPE (1999), and his Ph.D. in busi- ness administration from the UniversityofCaliforniaatBerkeley(2008). From 2000 to 2004 he worked in the risk management department of Cattolica Assicurazioni and Allianz-RAS. Jeannine Daniel is an investment analyst at Kedge Capital. Prior to joining Kedge, she worked at Ivy Asset Management, a fund of hedge funds, where she was charged with coordinating the firm’s European research efforts, which included the sourcing and investment due dili gence of manag ers across the various hedge fund strategies. Prior to Ivy, Jeannine worked at Barclays Global Investors and JP Morgan Chase. She hold s a B.Sc. (Hons) in business management from the University of London. Miguel Díaz-Martí nez holds an MBA from the University of Bath and was a Senior Consultant of the National Planning Department of Colombia xxiv Contributor Bios where he analyzed the financial strategies of public companies and advised the National Government in external debt topics. He has also held positio ns a s trader and financial an alyst in firms such as Banco San- tander and ICAP. Miguel holds a Bachelors Degree and a Specialisation Degree in Finance and Internatio nal A ffairs from the Externado University in Colombia, and an International De gree in Political Science from the Institute of Political Studies in Paris. Elena Dukh ovnaya is a consultant at Ernst & Young in Moscow, one of the leading international audit and consulting companies. She graduated from Plekhanov Academy of Economics (Moscow, Russia) with a degree in economics and mathematics in 2005, and also successfully completed 1 year i n the University of Konsta nz (G ermany) on an exchange program. She specializes in business, accounting, and regulatory advisory services to telecommunication and media companies. Mohamed El Hedi Arouri is currently an associ ate professor of finance at the University of Orleans, France, and a researcher at EDHEC Business School. He holds a master’s degree in economics and a Ph.D. in finance from the University of Paris X Nanterre. His research focuses on the cost of capital, stock market integration, and international portfolio choice. He published articles in refereed journals such as Intern ational Journal of Business, Applied Financial Economics, Frontiers of Finance and Economics, Annals of Economics and Statistics, Finance, and Economics Bulletin. Wei Fan obtained his Ph.D. from the University of Electronic Science and Technology of China, Chengdu Nankai University, Tianjin. He is senior vice- president of the fixed-income department at Hong Yuan Securities Co. Ltd. in Beiji ng and is in charge of interest-rate derivatives pricing. He has authored more than 10 academic papers in the International Financial Review, Journal o f Financial Transformation, New Mathematics and Natu ral Computation, Journal of Management (Chinese), and Ope ration and Man age ment (Chinese). In addition, he has been in charge of two National Natu ral Science Founda- tion projects and one Securities Associa tion of China projec t. Hi s re search focuses on asset pricing. Sihai Fan g obtained his Ph.D. in Economics from Naikai University in Tianjing, China. He is a Professor of Finance at the University of Electronic Science and Technology in Chengdu, China. He is a well-known economist in Mainland China and has published over 100 articles. He is Managing Director and Chief Economist of Hongyuan Securities, Co. Ltd., in Beijing. His research area focuses on asset pricing. Contributor Bios xxv [...]... default by creating system-wide risks through a cascading effect where default by one trader leads to default by all, (Chichilnisky and Wu, 2006) We show that graduated reserves dampens limits volatility and restores market equilibrium With the appropriate system of Handbook of Short Selling DOI: 10.1016/B97 8-0 -1 2-3 8772 4-6 .0000 1-5 © 2012, Elsevier Inc All rights reserved 3 4 CHAPTER 1: Short Sales and Financial... or value of the short trade This means that the relative value to the trader of selling short decreases the larger short sale 9 10 CHAPTER 1: Short Sales and Financial Innovation x p y Short sales FIGURE 1.1 Short sales without reserves x Reserves ratio y Short sales FIGURE 1.2 Short sales with fixed reserves ratio x Reserves ratio increases with the size or value of the trade y FIGURE 1.3 Short sales... 19 One Costly Debate—No Shortage of CDS Critics and Advocates 49 Conclusion 53 Acknowledgments 55 References 55 Bibliography 62 Handbook of Short Selling DOI: 10.1016/B97 8-0 -1 2-3 8772 4-6 .0000 2-7 © 2012, Elsevier Inc All rights... degrees from the Swiss Federal Institute of Technology (ETH) and is also a CFA charter holder Kaiguo Zhou is a deputy head and associate professor of the Department of Finance of Lingnan (University) College of Sun Yat-Sun University in China He graduated from City University of Hong Kong with a Ph.D degree in finance in 2003 and served as visiting fellow of Sloan School of Management at MIT in 2006 Zhou... bachelor of art, a bachelor of engineering, and a master of engineering from Tianjin University (China) Grace has published in the Journal of Financial Economics and won the Fama-DFA first prize for the best paper published in 2007 in the Journal of Financial Economics She has served as an ad-hoc reviewer for the Journal of Finance, Journal of Financial and Quantitative Analysis, Journal of Banking... of Missouri He has several working papers in the areas of short selling, mutual funds, and asset pricing and has presented them at the Southwestern Finance Association and the University of Missouri Mario Maggi is an assistant professor of mathematical finance at the University of Pavia He holds a M.S in economics from the University of Pavia and a Ph.D in mathematical finance from the University of. .. out of 4990 academics in the number of articles published during 1990–2002 His co-authored, path-breaking articles on intraday stock market patterns originally published in the Journal of Finance was selected for inclusion in (1) Microstructure: The Organization of Trading and Short Term Price Behavior, which is part of the series edited by Richard Roll of UCLA entitled The International Library of. .. engineering practice of Duff & Phelps, LLC, in the San Francisco office In 2009 she worked in the risk management department of Commerzbank AG in Frankfurt R Deane Terrell is a financial econometrician and officer in the general division of the Order of Australia He served as vice-chancellor of the ANU from 1994 to 2000 He has also held visiting appointments at the London School of Economics, the Wharton... support from Grant No 522 2-7 2 of the U.S Air Force Office of Research and its officer Professor Jun Zhang (Arlington, VA) CCRM Web site: http:// columbiariskmanagement.org/ REFERENCES Chichilnisky, G (1991, 1995) Limited arbitrage is necessary and sufficient for the existence of competitive equilibrium with or without short sales Discussion Paper No 650, Columbia University Department of Economics, December... introduction of an appropriate system of graduated reserves that reduces the likelihood of default and restores the market equilibrium in markets with short sales We show rigorously how graduated reserves dampen the incentives for taking large short- term positions and help stabilize short sales Markets with short sales as defined here differ from Arrow–Debreu markets in that traders have no bounds on short . Congress Cataloging-in-Publication Data Gregoriou, Greg N., 195 6- Handbook of short selling / Greg N. Gregoriou. p. cm. ISBN 97 8-0 -1 2-3 8772 4-6 1. Short selling. 2. Speculation. 3. Risk-taking (Psychology). Handbook of Short Selling Handbook of Short Selling Greg N. Gregoriou Editor AMSTERDAM • BOSTON • HEIDELBERG • LONDON NEW YORK. better understand short selling during and after the crisis of 2008. The 39 chapters in this handbook will be a valuable source of information to anyone interested in short selling. Among its

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