Strategic Trading as a Response to Short Sellers

We study empirically informed traders' reaction to the presence of short sellers in the market. We find that investors with positive views on a stock strategically slow down their trades when short sellers are present in the same stock. Moreover, they purchase larger amounts to take advantage of the price decline induced by short sellers. Furthermore, they break up their buy trades across multiple brokers, suggesting that they wish to hide from the short sellers. This behavior may impact price discovery, as we find a sizeable reduction of positive information impounding for stocks more exposed to short selling during information sensitive periods. The evidence is confirmed exploiting exogenous variation in short interest provided by the Reg SHO Pilot Program. The findings have relevance for the regulatory debate on the market impact of short selling.

[1]  Xiaoyan Zhang,et al.  What Do Short Sellers Know?* , 2020 .

[2]  Francesco Franzoni,et al.  What Constrains Liquidity Provision? Evidence From Institutional Trades , 2020 .

[3]  M. Pagano,et al.  Emergency Measures for Equity Trading: The Case Against Short-Selling Bans and Stock Exchange Shutdowns , 2020 .

[4]  Gábor Pintér,et al.  Clients' Connections: Measuring the Role of Private Information in Decentralised Markets , 2019, The Journal of Finance.

[5]  Charles G. Nathanson,et al.  On the Effects of Restricting Short-Term Investment , 2019, The Review of Financial Studies.

[6]  Ryan Riordan,et al.  Preventing Information Leakage , 2018, SSRN Electronic Journal.

[7]  Charles M. Jones,et al.  Potential Pilot Problems: Treatment Spillovers in Financial Regulatory Experiments , 2018, Journal of Financial Economics.

[8]  Yi Wang,et al.  Institutional Trading and Abel Noser Data , 2018, Journal of Corporate Finance.

[9]  Russell Jame,et al.  Liquidity Provision and the Cross Section of Hedge Fund Returns , 2018, Manag. Sci..

[10]  Volkan Cevher,et al.  Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces , 2018, Applied and Computational Harmonic Analysis.

[11]  D. Filipović,et al.  Replicating portfolio approach to capital calculation , 2017, Finance and Stochastics.

[12]  A. Barbon,et al.  Brokers and Order Flow Leakage: Evidence from Fire Sales , 2017, The Journal of Finance.

[13]  Michael Ludkovski,et al.  Sequential Design and Spatial Modeling for Portfolio Tail Risk Measurement , 2017, SIAM J. Financial Math..

[14]  A. Kermani,et al.  The Relevance of Broker Networks for Information Diffusion in the Stock Market , 2017, Journal of Financial Economics.

[15]  Abhishake Rastogi,et al.  Optimal Rates for the Regularized Learning Algorithms under General Source Condition , 2016, Front. Appl. Math. Stat..

[16]  Gustavo Grullon,et al.  The Effects of Short-Selling Threats on Incentive Contracts: Evidence from an Experiment , 2016 .

[17]  Kate Litvak,et al.  The SEC's Busted Randomized Experiment: What Can and Cannot Be Learned , 2016 .

[18]  A. Cohen,et al.  Optimal weighted least-squares methods , 2016, 1608.00512.

[19]  V. Paulsen,et al.  An Introduction to the Theory of Reproducing Kernel Hilbert Spaces , 2016 .

[20]  Guofu Zhou,et al.  Short Interest and Aggregate Stock Returns , 2016 .

[21]  Mark Broadie,et al.  Risk Estimation via Regression , 2015, Oper. Res..

[22]  Allen H. Huang,et al.  Short Selling and Earnings Management: A Controlled Experiment , 2015 .

[23]  M. Ludkovski,et al.  Statistical emulators for pricing and hedging longevity risk products , 2015, 1508.00310.

[24]  Azi Ben-Rephael,et al.  Do Short-Sellers Profit from Mutual Funds? Evidence from Daily Trades , 2015 .

[25]  A. Pelsser,et al.  The difference between LSMC and replicating portfolio in insurance liability modeling , 2015, European Actuarial Journal.

[26]  M. Massa,et al.  Competition of the Informed: Does the Presence of Short Sellers Affect Insider Selling? , 2014 .

[27]  Yinghua Li,et al.  Short Selling Pressure, Stock Price Behavior, and Management Forecast Precision: Evidence from a Natural Experiment , 2014 .

[28]  M. Massa,et al.  The Invisible Hand of Short Selling: Does Short Selling Discipline Earnings Management? , 2014 .

[29]  Benjamin M. Blau,et al.  Informed Trading Strategies with Borrowing Costs , 2014 .

[30]  R. Werner,et al.  Mathematical analysis of different approaches for replicating portfolios , 2014 .

[31]  James P. Weston,et al.  The Real Effects of Short-Selling Constraints , 2014 .

[32]  Mathieu Cambou,et al.  MODEL UNCERTAINTY AND SCENARIO AGGREGATION , 2014 .

[33]  Nicolas Privault Stochastic Finance , 2013 .

[34]  R. Stambaugh,et al.  Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle , 2012 .

[35]  Paul J. Irvine,et al.  Institutional Trading and Stock Resiliency: Evidence from the 2007-2009 Financial Crisis , 2012 .

[36]  Adam V. Reed,et al.  How are shorts informed , 2012 .

[37]  Ekkehart Boehmer,et al.  Short Selling and the Price Discovery Process , 2012 .

[38]  Nikolaos M. Freris,et al.  Randomized Extended Kaczmarz for Solving Least Squares , 2012, SIAM J. Matrix Anal. Appl..

[39]  Ingo Steinwart,et al.  Mercer’s Theorem on General Domains: On the Interaction between Measures, Kernels, and RKHSs , 2012 .

[40]  Thomas J. Chemmanur,et al.  The Role of Institutional Investors in Initial Public Offerings , 2010 .

[41]  Pedro A. C. Saffi,et al.  Price Efficiency and Short Selling , 2010 .

[42]  Andy Puckett,et al.  The Interim Trading Skills of Institutional Investors , 2010 .

[43]  Kenji Fukumizu,et al.  Universality, Characteristic Kernels and RKHS Embedding of Measures , 2010, J. Mach. Learn. Res..

[44]  Mikhail Belkin,et al.  On Learning with Integral Operators , 2010, J. Mach. Learn. Res..

[45]  M. Pagano,et al.  Short-Selling Bans Around the World: Evidence from the 2007-09 Crisis , 2009 .

[46]  Benjamin M. Blau,et al.  Informed or Speculative: Short Selling Analyst Recommendations , 2009 .

[47]  Maureen O'Hara,et al.  Is Market Fragmentation Harming Market Quality? , 2009 .

[48]  Kuan-Hui Lee,et al.  Short-Sale Strategies and Return Predictability , 2009 .

[49]  Gang Hu,et al.  The Role of Institutional Investors in Seasoned Equity Offerings , 2008 .

[50]  Sandeep Juneja,et al.  Nested Simulation in Portfolio Risk Measurement , 2008, Manag. Sci..

[51]  Marcin T. Kacperczyk,et al.  Competition and Bias , 2008 .

[52]  J. Campbell,et al.  Caught on Tape: Institutional Trading, Stock Returns, and Earnings Announcements , 2007 .

[53]  A. Caponnetto,et al.  Optimal Rates for the Regularized Least-Squares Algorithm , 2007, Found. Comput. Math..

[54]  G. J. Alexander,et al.  An analysis of trade-size clustering and its relation to stealth trading , 2007 .

[55]  S. Smale,et al.  Learning Theory Estimates via Integral Operators and Their Approximations , 2007 .

[56]  Sugato Chakravarty,et al.  Stealth Trading in Options Markets , 2007, Journal of Financial and Quantitative Analysis.

[57]  Charles M. Jones,et al.  Which Shorts are Informed? , 2007 .

[58]  Itay Goldstein,et al.  Payoff Complementarities and Financial Fragility: Evidence from Mutual Fund Outflows , 2007 .

[59]  Yiming Ying,et al.  Multi-kernel regularized classifiers , 2007, J. Complex..

[60]  Lorenzo Rosasco,et al.  On regularization algorithms in learning theory , 2007, J. Complex..

[61]  B. Schölkopf,et al.  Kernel methods in machine learning , 2007, math/0701907.

[62]  Yuesheng Xu,et al.  Universal Kernels , 2006, J. Mach. Learn. Res..

[63]  Yiming Ying,et al.  Learning Rates of Least-Square Regularized Regression , 2006, Found. Comput. Math..

[64]  Lorenzo Rosasco,et al.  Learning from Examples as an Inverse Problem , 2005, J. Mach. Learn. Res..

[65]  Ingo Steinwart,et al.  Fast Rates for Support Vector Machines , 2005, COLT.

[66]  Christopher J. Malloy,et al.  Supply and Demand Shifts in the Shorting Market , 2005 .

[67]  Hongwei Sun,et al.  Mercer theorem for RKHS on noncompact sets , 2005, J. Complex..

[68]  Hazem Daouk,et al.  A Study of Market-Wide Short-Selling Restrictions , 2005 .

[69]  Ning Zhu,et al.  Efficiency and the Bear: Short Sales and Markets around the World , 2004 .

[70]  Michael G. Ferri,et al.  Short-Selling Prior to Earnings Announcements , 2004 .

[71]  J. Stein,et al.  Differences of Opinion, Short-Sales Constraints, and Market Crashes , 2003 .

[72]  Felipe Cucker,et al.  Best Choices for Regularization Parameters in Learning Theory: On the Bias—Variance Problem , 2002, Found. Comput. Math..

[73]  Yan Zhang,et al.  The Information Content of Short Interest: A Natural Experiment , 2002 .

[74]  Felipe Cucker,et al.  On the mathematical foundations of learning , 2001 .

[75]  Sugato Chakravarty Stealth-Trading: Which Traders' Trades Move Stock Prices? , 2001 .

[76]  Phillip Bonacich,et al.  Eigenvector-like measures of centrality for asymmetric relations , 2001, Soc. Networks.

[77]  Bernhard Schölkopf,et al.  Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.

[78]  Kent D. Daniel,et al.  Measuring mutual fund performance with characteristic-based benchmarks , 1997 .

[79]  F. Foster,et al.  Strategic Trading When Agents Forecast the Forecasts of Others , 1996 .

[80]  I. Pinelis OPTIMUM BOUNDS FOR THE DISTRIBUTIONS OF MARTINGALES IN BANACH SPACES , 1994, 1208.2200.

[81]  Laura T. Starks,et al.  Short-Sale Restrictions and Market Reaction to Short-Interest Announcements , 1993, Journal of Financial and Quantitative Analysis.

[82]  Robert A. Jarrow,et al.  Market Manipulation, Bubbles, Corners, and Short Squeezes , 1992, Journal of Financial and Quantitative Analysis.

[83]  Franklin Allen,et al.  Stock-Price Manipulation , 1992 .

[84]  B. Boser,et al.  A training algorithm for optimal margin classifiers , 1992, COLT '92.

[85]  Avanidhar Subrahmanyam,et al.  Long‐Lived Private Information and Imperfect Competition , 1992 .

[86]  Kenneth A. Froot,et al.  Herd on the Street: Informational Inefficiencies in a Market with Short-Term Speculation , 1990 .

[87]  Lawrence R. Glosten,et al.  Components of the Bid-Ask Spread and the Statistical Properties of Transaction Prices , 1987 .

[88]  Robert E. Verrecchia,et al.  Constraints on short-selling and asset price adjustment to private information , 1987 .

[89]  P. Bonacich Power and Centrality: A Family of Measures , 1987, American Journal of Sociology.

[90]  A. Lo,et al.  Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test , 1987 .

[91]  W. Newey,et al.  A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelationconsistent Covariance Matrix , 1986 .

[92]  A. Kyle Continuous Auctions and Insider Trading , 1985 .

[93]  E. Miller Risk, Uncertainty, and Divergence of Opinion , 1977 .

[94]  G. Pisier,et al.  The Law of Large Numbers and the Central Limit Theorem in Banach Spaces , 1976 .

[95]  E. Fama,et al.  Risk, Return, and Equilibrium: Empirical Tests , 1973, Journal of Political Economy.

[96]  Leo Katz,et al.  A new status index derived from sociometric analysis , 1953 .

[97]  N. Aronszajn Theory of Reproducing Kernels. , 1950 .

[98]  Brian M. Weller Does Algorithmic Trading Reduce Information Acquisition? , 2017 .

[99]  L. Fleischer Regularization Of Inverse Problems , 2016 .

[100]  Rado,et al.  Ownership Structure, Limits to Arbitrage, and Stock Returns: Evidence from Equity Lending Markets∗ , 2013 .

[101]  A. Anand,et al.  Performance of Institutional Trading Desks: An Analysis of Persistence in Trading Costs , 2009 .

[102]  Kuan-Hui Lee,et al.  Charles A. Dice Center for Research in Financial Economics It’s SHO Time! Short-Sale Price-Tests and Market Quality , 2007 .

[103]  F. Cucker,et al.  Learning Theory: An Approximation Theory Viewpoint: Estimating covering numbers , 2007 .

[104]  Adam V. Reed Costly short -selling and stock price adjustment to earnings announcements , 2002 .

[105]  Y. Amihud,et al.  Illiquidity and Stock Returns: Cross-Section and Time-Series Effects , 2000 .

[106]  Mark A. Peterson,et al.  Short Selling on the New York Stock Exchange and the Effects of the Uptick Rule , 1999 .

[107]  Robert E. Verrecchia,et al.  Market liquidity and volume around earnings announcements , 1994 .

[108]  S. Viswanathan,et al.  The Effect of Public Information and Competition on Trading Volume and Price Volatility , 1993 .

[109]  M. Yor,et al.  Continuous martingales and Brownian motion , 1990 .

[110]  P. Bonacich Factoring and weighting approaches to status scores and clique identification , 1972 .

[111]  Tosio Kato Perturbation theory for linear operators , 1966 .

[112]  Michael Wolf,et al.  Centre De Referència En Economia Analítica Barcelona Economics Working Paper Series Working Paper Nº 17 Stewise Multiple Testing as Formalized Data Snooping Stepwise Multiple Testing as Formalized Data Snooping , 2022 .