Andrey Kudryavtsev

Correspondence: Andrey Kudryavtsev,

Department of Economics and Management, The Max Stern Yezreel Valley College, Israel

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Present study explores the effect of the availability heuristic (representing people's tendency to determine the likelihood of an event according to the easiness of recalling similar instances, and, thus, to overweight current information, as opposed to processing all relevant information) on stock price dynamics following days of extremely high trading volumes. I hypothesize that if the sign of a stock's return on the day when it registers an extremely high trading volume corresponds to the sign of the same day's stock market index return, then because of the effect of the availability heuristic, investors may consider the underlying important news to have a greater subjective probability of leading to stock returns of the respective sign, amplifying the latter and creating overreaction, which results in subsequent price reversal. Defining high-volume days according to a number of alternative proxies, I document that, in line with my hypothesis, both positive and negative high-volume day stock returns accompanied by the same-sign contemporaneous daily market returns are followed by significant reversals on the next trading day and over five- and twenty-day intervals following the event, the magnitude of the reversals increasing over longer post-event windows, while high-volume day stock price changes taking place on the days when the market index moves in the opposite direction are followed by non-significant price drifts. The results remain robust after accounting for additional company-specific (size, beta, historical volatility) and event-specific (event-day stock's return) factors, and are stronger for low capitalization and high volatility stocks.


  Availability Heuristic; Behavioral Finance; High Trading Volumes; Overreaction; Stock Price Reversals.


Baker, M., and J. Stein, 2004, Market Liquidity as a Sentiment Indicator, Journal of Financial Markets, 7(3), 271-299.

Baker, M., and J. Wurgler, 2006, Investor Sentiment and the Cross-Section of Stock Returns, Journal of Finance, 61(4), 1645-1680.

Bamber, L.S., O.E. Barron, and T.L. Stober, 1997, Trading Volume and Different Aspects of Disagreement Coincident with Earnings Announcements, The Accounting Review, 72(4), 575-597.

Bamber, L.S., O.E. Barron, and T.L. Stober, 1999, Differential Interpretations and Trading Volume, The Journal of Financial and Quantitative Analysis, 34(3), 369-386.

Bamber, L.S., O.E. Barron, and D.E. Stevens, 2011, Trading Volume around Earnings Announcements and Other Financial Reports: Theory, Research Design, Empirical Evidence, and Directions for Future Research, Contemporary Accounting Research, 28(2), 431-471.

Barber, B.M., and T. Odean, 2008, All that Glitters: The Effect of Attention and News on the Buying behavior of Individual and Institutional Investors, Review of Financial Studies, 21(2), 785-818.

Barron, O.E., Harris, D.G., and M. Stanford, 2005, Evidence That Investors Trade on Private Event-Period Information around Earnings Announcements, The Accounting Review, 80(2), 403-421.

Beaver, W.H., 1968, The Information Content of Annual Earnings Announcements, Empirical Research in Accounting: Selected Studies, Supplement to Journal of Accounting Research, 6, 67–92.

Caginalpa, G., and M. Desantisa, 2011, Stock Price Dynamics: Nonlinear Trend, Volume, Volatility, Resistance and Money Supply, Quantitative Finance, 11(6), 849-861.

Campbell, J.Y., S.J. Grossman, and J. Wang, 1993, Trading Volume and Serial Correlation in Stock Returns, The Quarterly Journal of Economics, 108(4), 905–939.

Chen, G., M. Firth, and O.M. Rui, 2001, The Dynamic Relation between Stock Returns, Trading Volume and Volatility, The Financial Review, 36(2), 153-174.

Chordia, T., S.W. Huh, and A. Subrahmanyam, 2007, The Cross-Section of Expected Trading Activity, Review of Financial Studies, 30(2), 709-740.

Crouch, R.L., 1970, A Nonlinear Test of the Random-Walk Hypothesis, American Economic Review, 60(1), 199-202.

Daniel, K., D. Hirshleifer, and S. H. Teoh, 2002, Investor Psychology in Capital Markets: Evidence and Policy Implications, Journal of Monetary Economics, 49(1), 139-209.

De Long, B., A. Shleifer, L. Summers, and R. Waldmann, 1990, Positive Feedback Investment Strategies and Destabilizing Rational Speculation, Journal of Finance, 45(2), 379-386.

Diamond, D., and R.E. Verrecchia, 1987, Constraints on Short-Selling and Asset Price Adjustment to Private Information, Journal of Financial Economics, 18(2), 277-311.

Epps, T.W., 1975, Security Price Changes and Transaction Volumes: Theory and Evidence, American Economic Review, 65(4), 586–597.

Epps, T.W., 1977, Security Price Changes and Transaction Volumes: Some Additional Evidence, Journal of Financial and Quantitative Analysis, 12(1), 141–146.

Frieder, L., 2003, Evidence on Behavioral Biases in Trading Activity, Working Paper, UCLA, The Anderson School.

Gallant, R., P. Rossi, and G. Tauchen, 1992, Stock Prices and Volume, Review of Financial Studies, 5(2), 199-242.

Ganzach, Y., 2001, Judging Risk and Return of Financial Assets, Organizational Behavior and Human Decision Processes, 83(2), 353-370.

Garfinkel, J.A., and J. Sokobin, 2006, Volume, Opinion Divergence, and Returns: A Study of Post-Earnings Announcement Drift, Journal of Accounting Research, 44(1), 85-112.

Glaser, M., and M. Weber, 2009, Which Past Returns Affect Trading Volume? Journal of Financial Markets, 12(1), 1-31.

Griffin, M., F. Nardari, and R.M. Stulz, 2007, Do Investors Trade More When Stocks Have Performed Well? Evidence from 46 Countries, Review of Financial Studies, 20(3), 905–951.

Harris, L., 1983, The Joint Distribution of Speculative Prices and of Daily Trading Volume, Working Paper, University of Southern CA.

Harris, M., and A. Raviv, 1993, Differences of Opinion Make a Horse Race, Review of Financial Studies, 6(3), 473-506.

Hirshleifer, D., A. Subrahmanyam, and S. Titman, 1994, Security Analysis and Trading Patterns When Some Investors Receive Information before Others, Journal of Finance, 49 (5), 1665-698.

Hirshleifer, D., A. Subrahmanyam, and S. Titman, 2006, Feedback and the Success of Irrational Investors, Journal of Financial Economics, 81(2), 311-338.

Holthausen, R.W., and R.E. Verrecchia, 1990, The Effect of Informedness and Consensus on Price and Volume Behavior, The Accounting Review, 65(1), 191-208.

Hong, H., and J.C. Stein, 1999, A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets, Journal of Finance, 54(6), 2143-2184.

Hong, H., and J.C. Stein, 2007, Disagreement and the Stock Market, Journal of Economic Perspectives, 21(2), 109-128.

Hong, H., and J. Yu, 2009, Gone Fishin’: Seasonality in Trading Activity and Asset Prices, Journal of Financial Markets, 12(4), 672-702.

Israeli, D., 2015, Trading Volume Reactions to Earnings Announcements and Future Stock Returns, Working Paper, Interdisciplinary Center Herzliya.

Kandel, E., and N. Pearson, 1995, Differential Interpretation of Public Signals and Trade in Speculative Markets, Journal of Political Economy, 103(4), 831-872.

Karpoff, J.M., 1986, A Theory of Trading Volume, Journal of Finance, 41(5), 1069-1087.

Karpoff, J.M., 1987, The Relation between Price Changes and Trading Volume: A Survey, Journal of Financial and Quantitative Analysis, 22(1), 109-126.

Khan, S.U., and F. Rizwan, 2008, Trading Volume and Stock Returns: Evidence from Pakistan’s Stock Market, International Review of Business Research Papers, 4(2), 151-162.

Kim, O., and R.E. Verrecchia, 1991, Market Reaction to Anticipated Announcements, Journal of Financial Economics, 30(2), 273-309.

Kim, O., and R.E. Verrecchia, 1994, Market Liquidity and Volume around Earnings Announcements, Journal of Accounting and Economics, 17(1), 41–67.

Kim, O., and R.E. Verrecchia, 1997, Pre-Announcement and Event-Period Private Information, Journal of Accounting and Economics, 24(3), 395-419.

Kliger, D, and A. Kudryavtsev, 2010, The Availability Heuristic and Investors’ Reaction to Company-Specific Events, Journal of Behavioral Finance, 11(1), 50-65.

Kudryavtsev, A., 2018, The Availability Heuristic and Reversals Following Large Stock Price Changes, Journal of Behavioral Finance, 19(2), 159-176.

Lee, B, J. O’Brien, and K. Sivaramakrishnan, 2007, An Analysis of Financial Analysts’ Optimism in Long-term Growth Forecasts, Journal of Behavioral Finance, 9(3), 171-184.

Lee, S.B., and O.M. Rui, 2002, The Dynamic Relationship between Stock Return and Trading Volume: Domestic and Cross-Country Evidence, Journal of Banking and Finance, 26(1), 51-78.

Llorente, G., R. Michaely, G. Saar, and J. Wang, 2002, Dynamic Volume-Return Relation of Individual Stocks, Review of Financial Studies, 15(4), 1005-1047.

Pathirawasam, C., 2011, The Relationship between Trading Volume and Stock Returns, Journal of Competitiveness, 3(3), 41-49.

Pisedtasalasai, A., and Gunasekarage, 2007, Causal and Dynamic Relationships among Stock Returns, Return Volatility and Trading Volume: Evidence from Emerging Markets in South-East Asia, Asia-Pacific Financial Markets, 14(4), 277-297.

Remorov, R., 2014, Stock Price and Trading Volume during Market Crashes, International Journal of Marketing Studies, 6(1), 21-30.

Rutledge, D.J.S., 1984, Trading Volume and Price Variability: New Evidence on the Price Effects of Speculation, In Peck A. E. (ed.), Selected Writings on Futures Markets: Research Directions in Commodity Markets, 237-251, Chicago: Chicago Board of Trade.

Saatccioglu, K., and L.T. Starks, 1998, The Stock Price–Volume Relationship in Emerging Stock Markets: The Case of Latin America, International Journal of Forecasting, 14(2), 215–225.

Schwert, W., 1989, Why Does Stock Market Volatility Change Over Time? Journal of Finance, 44(5), 1115-1155.

Shiller, R.J., 1998, Human Behavior and the Efficiency of the Financial System, NBER Working Paper.

Statman, M., S. Thorley, and K. Vorkink, 2006, Investor Overconfidence and Trading Volume, Review of Financial Studies, 19(4), 1531-1565.

Tversky, A., and D. Kahneman, 1973, Availability: A Heuristic for Judging Frequency and Probability, Cognitive Psychology, 4, 207-232.

Tversky, A., and D. Kahneman, 1974, Judgment under Uncertainty: Heuristics and Biases, Science, 185, 1124-1131.

Varian, H.R., 1989, Differences of Opinion in Financial Markets, In Financial Risk: Theory, Evidence and Implications: Proceedings of the 11th Annual Economic Policy Conference of the Federal Reserve Bank of St. Louis, 3–37.

Verrecchia, R.E., 1981, On the Relationship between Volume Reaction and Consensus of Investors: Implications for Interpreting Tests of Information Content, Journal of Accounting Research, 19(1), 271-283.

Westerfield, R., 1977, The Distribution of Common Stock Price Changes: An Application of Transactions Time and Subordinated Stochastic Models, Journal of Financial and Quantitative Analysis, 12(5), 743-765.

Ying, C.C., 1966, Stock Market Prices and Volumes of Sales, Econometrica, 34(3), 676-686.

Ziebart, D.A., 1990, The Association between Consensus of Beliefs and Trading Activity Surrounding Earnings Announcements, The Accounting Review, 65(2), 477-488.

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