Informed Trading and Portfolio Returns

We solve a multi-period model of strategic trading with long-lived information in multiple assets with correlated innovations in fundamental values. Market makers in each asset can only condition their pricing functions on trading in each asset. Using daily non-public data from the New York Stock Exchange, we test the model's predictions on the conditional and unconditional lead--lag relations of institutional order flow and returns within portfolios. We find support for the model prediction of positive autocorrelations in portfolio returns as well as the predictions for how informed order flow positively predicts future returns and future informed order flow. We show that these relations strengthen for portfolios formed from assets within the same industry, which likely have higher correlation of fundamental values. Furthermore, we discuss issues that arise when testing implications of strategic models with imperfect proxies for the underlying strategic behaviour. Copyright , Oxford University Press.

[1]  Kewei Hou,et al.  Industry Information Diffusion and the Lead-Lag Effect in Stock Returns , 2007 .

[2]  B. Biais,et al.  Trading and Liquidity with Limited Cognition , 2010 .

[3]  B. King.  Market and Industry Factors in Stock Price Behavior , 1966 .

[4]  Matthew Richardson,et al.  A Tale of Three Schools: Insights on Autocorrelations of Short Horizon Stock Returns , 1994 .

[5]  P. Asquith,et al.  Short Sales and Trade Classification Algorithms , 2008 .

[6]  Avanidhar Subrahmanyam,et al.  Evidence on the Speed of Convergence to Market Efficiency , 2001 .

[7]  Anat R. Admati.  A Noisy Rational Expectations Equilibrium for Multi-Asset Securities Markets , 1985 .

[8]  Ekkehart Boehmer,et al.  Institutional Investors and the Informational Efficiency of Prices , 2005 .

[9]  L. Glosten,et al.  Market Microstructure: A Survey of Microfoundations, Empirical Results, and Policy Implications , 2005 .

[10]  J. Dennert,et al.  Price Competition between Market Makers , 1993 .

[11]  Frank T. Magiera,et al.  Evidence on the Speed of Convergence to Market Efficiency , 2005 .

[12]  Dan Bernhardt,et al.  Kyle v. Kyle (’85 v. ’89) , 2006 .

[13]  Laura T. Starks,et al.  Return autocorrelation and institutional investors , 1997 .

[14]  R. Anderson,et al.  Stock Return Autocorrelation is Not Spurious , 2005 .

[15]  Tarun Chordia,et al.  Trading Volume and Cross‐Autocorrelations in Stock Returns , 2000 .

[16]  Albert S. Kyle,et al.  Informed Speculation with Imperfect Competition , 1989 .

[17]  Austin Gerig,et al.  Automated Liquidity Provision , 2014 .

[18]  Drew Fudenberg,et al.  A "Signal-Jamming" Theory of Predation , 1986 .

[19]  D. Bernhardt,et al.  The Impact of Nonsynchronous Trading on Differences in Portfolio Cross-Autocorrelations , 2008 .

[20]  A. Lo,et al.  An Econometric Analysis of Nonsynchronous Trading , 1989 .

[21]  Liquidity Dynamics and Cross-Autocorrelations , 2011 .

[22]  Jayant R. Kale,et al.  Of Shepherds, Sheep, and the Cross-autocorrelations in Equity Returns , 1995 .

[23]  Paolo Pasquariello,et al.  Strategic Cross-Trading in the U.S. Stock Market , 2009 .

[24]  A. Lo,et al.  When are Contrarian Profits Due to Stock Market Overreaction? , 1989 .

[25]  P. Chelley-steeley,et al.  Portfolio size, non-trading frequency and portfolio return autocorrelation , 2014 .

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

[27]  Thierry Foucault,et al.  Learning from Prices, Liquidity Spillovers, and Market Segmentation , 2011 .

[28]  Kalok Chan.  Imperfect Information and Cross-Autocorrelation among Stock Prices , 1993 .

[29]  Gautam Kaul,et al.  Time-Variation in Expected Returns , 1988 .

[30]  Charles M. Jones,et al.  Does Algorithmic Trading Improve Liquidity? , 2010 .

[31]  Thierry Foucault,et al.  Dealer Attention, liquidity spillovers, and endogenous market segmentation , 2011 .

[32]  D. Bernhardt,et al.  Asymmetric information and stock return cross-autocorrelations , 2007 .

[33]  M. Brennan,et al.  Investment Analysis and the Adjustment of Stock Prices to Common Information , 1993 .

[34]  A. Craig MacKinlay,et al.  Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test , 1988 .

[35]  Ekkehart Boehmer,et al.  Order Flow and Prices , 2008 .

[36]  Tarun Chordia,et al.  Liquidity Dynamics and Cross-Autocorrelations , 2010 .

[37]  T. Andersen.  THE ECONOMETRICS OF FINANCIAL MARKETS , 1998, Econometric Theory.

[38]  J. Rochet,et al.  Insider Trading without Normality , 1994 .

[39]  Joel Hasbrouck,et al.  Measuring the Information Content of Stock Trades , 1991 .

[40]  Vyacheslav Fos,et al.  Do Prices Reveal the Presence of Informed Trading? , 2012 .

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

[42]  Jeremy C. Stein,et al.  Efficient Capital Markets, Inefficient Firms: A Model of Myopic Corporate Behavior , 1989 .

[43]  Dan Bernhardt,et al.  Cross‐Asset Speculation in Stock Markets , 2008 .

[44]  M. Krishnan,et al.  Imperfect Competition in a Multi-security Market with Risk Neutrality , 1994 .

[45]  Jong-Ho Park,et al.  Autocorrelation and partial price adjustment , 2013 .