Market Efficiency in Real-Time

The Morning Call and Midday Call segments on CNBC TV provide a unique opportunity to shed light on the efficient market hypothesis. The segments report analysts' views about individual stocks and are broadcast when the market is open. We find that prices respond to the reports within seconds of the initial mention, with positive reports fully incorporated within one minute. The impact of negative reports is gradual, lasting 15 minutes. We find compelling evidence that viewers trade based on the information in the segments. Trading intensity doubles in the minute after the stock is mentioned on air, with a significant increase in buyer- (seller-) initiated trades after positive (negative) reports. Traders who lock in prices within 15 seconds of the initial mention make small but significant profits by trading on positive reports during the Midday Call. Our results highlight the role that active traders play in ensuring that prices quickly reflect new information.

[1]  R. Litzenberger,et al.  Announcement effects of new equity issues and the use of intraday price data , 1988 .

[2]  Soeren Hvidkjaer,et al.  A Trade-Based Analysis of Momentum , 2005 .

[3]  Jerold B. Warner,et al.  Using daily stock returns: The case of event studies , 1985 .

[4]  J. Patell,et al.  The intraday speed of adjustment of stock prices to earnings and dividend announcements , 1984 .

[5]  Sok-Tae Kim,et al.  Market Structure, Informed Trading, and Analysts' Recommendations , 1997, Journal of Financial and Quantitative Analysis.

[6]  Avanidhar Subrahmanyam,et al.  Market Liquidity and Trading Activity , 2000 .

[7]  Scott E. Stickel The effect of value line investment survey rank changes on common stock prices , 1985 .

[8]  Charles M. C. Lee,et al.  Inferring Trade Direction from Intraday Data , 1991 .

[9]  Hendrik Bessembinder,et al.  Issues in Assessing Trade Execution Costs , 2000 .

[10]  M. Beneish Stock Prices and the Dissemination of Analysts' Recommendations , 1993 .

[11]  Michael Canes,et al.  Stock Prices and the Publication of Second-Hand Information , 1978 .

[12]  E. Fama EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* , 1970 .

[13]  Howard Kurtz The fortune tellers : inside Wall Street's game of money, media, and manipulation , 2000 .

[14]  David Mayers,et al.  Trading rules, large blocks and the speed of price adjustment , 1977 .

[15]  How Do Stock Markets Process Analysts' Recommendations? An Intra-Daily Analysis , 1999 .

[16]  Robert H. Battalio,et al.  All else equal?: a multidimensional analysis of retail, market order execution quality , 2003 .

[17]  Bruce D. Phelps Can Investors Profit from the Prophets? Security Analyst Recommendations and Stock Returns , 2001 .

[18]  Maureen O'Hara,et al.  The Accuracy of Trade Classification Rules: Evidence from NASDAQ , 2000 .

[19]  R. Jennings,et al.  Information Content and the Speed of Stock Price Adjustment , 1985 .

[20]  Bing Liang Price Pressure: Evidence from the "Dartboard" Column , 1999 .

[21]  Scott E. Stickel Reputation and Performance Among Security Analysts , 1992 .

[22]  B. Lev,et al.  What Value Analysts? , 1999 .

[23]  B. Barber,et al.  The “Dartboard” Column: Second-Hand Information and Price Pressure , 1993, Journal of Financial and Quantitative Analysis.

[24]  Sanford J. Grossman On the Impossibility of Informationally Efficient Markets , 1980 .

[25]  Bernice W. Polemis Nonparametric Statistics for the Behavioral Sciences , 1959 .

[26]  Kent L. Womack Do Brokerage Analysts' Recommendations Have Investment Value? , 1996 .

[27]  Scott E. Stickel The Anatomy of the Performance of Buy and Sell Recommendations , 1995 .