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Trading Volume and Asset Prices

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  • Jiang Wang

    (Sloan School of Management, MIT
    NBER)

Abstract

Price and quantity are the two fundamental variables in any analysis of market interactions. Yet the study of financial markets has focused primarily on the behavior of asset prices¡ªpredictability, volatility, and their relation to economic fundamentals. Far less attention has been devoted to the understanding of quantities such as trading volume. Only recently, there has been a growing body of work to link both price and volume to economic fundamentals. In this paper, I attempt to review some of these work within a unified framework. I start by describing an intertemporal asset pricing model that explicitly models investors¡¯ trading motives, their optimal portfolio choices and the resulting equilibrium asset prices. I then examine the price-volume implications within the framework of the model. Finally, I discuss the results from the empirical analysis of volume and stock returns based on the data of the U.S. stock market. The theoretical analysis together with its empirical support clearly demonstrate that volume and prices are jointly linked to the economic fundamentals, e.g., the risks of the assets and the investors¡¯ attitude toward them. Moreover, the behavior of volume is closely related to the behavior of prices and from which we can learn a great deal about the prices as well as the economic fundamentals.

Suggested Citation

  • Jiang Wang, 2002. "Trading Volume and Asset Prices," Annals of Economics and Finance, Society for AEF, vol. 3(2), pages 299-359, November.
  • Handle: RePEc:cuf:journl:y:2002:v:3:i:2:p:299-359
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    References listed on IDEAS

    as
    1. Lo, Andrew W. & Mackinlay, A. Craig, 1997. "Maximizing Predictability In The Stock And Bond Markets," Macroeconomic Dynamics, Cambridge University Press, vol. 1(1), pages 102-134, January.
    2. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
    3. Michaely, Roni & Vila, Jean-Luc & Wang, Jiang, 1996. "A Model of Trading Volume with Tax-Induced Heterogeneous Valuation and Transaction Costs," Journal of Financial Intermediation, Elsevier, vol. 5(4), pages 340-371, October.
    4. Tkac, Paula A., 1999. "A Trading Volume Benchmark: Theory and Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(1), pages 89-114, March.
    5. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    6. John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993. "Trading Volume and Serial Correlation in Stock Returns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 905-939.
    7. Foster, F Douglas & Smith, Tom & Whaley, Robert E, 1997. "Assessing Goodness-of-Fit of Asset Pricing Models: The Distribution of the Maximal R-Squared," Journal of Finance, American Finance Association, vol. 52(2), pages 591-607, June.
    8. Blake LeBaron, "undated". "Persistence of the Dow Jones Index on Rising Volume," Working papers _006, University of Wisconsin - Madison.
    9. Ajinkya, Bipin B. & Jain, Prem C., 1989. "The behavior of daily stock market trading volume," Journal of Accounting and Economics, Elsevier, vol. 11(4), pages 331-359, November.
    10. Lo, Andrew W & Wang, Jiang, 2000. "Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory," The Review of Financial Studies, Society for Financial Studies, vol. 13(2), pages 257-300.
    11. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
    12. Chamberlain, Gary & Rothschild, Michael, 1983. "Arbitrage, Factor Structure, and Mean-Variance Analysis on Large Asset Markets," Econometrica, Econometric Society, vol. 51(5), pages 1281-1304, September.
    13. Cready, William M. & Ramanan, Ramachandran, 1991. "The power of tests employing log-transformed volume in detecting abnormal trading," Journal of Accounting and Economics, Elsevier, vol. 14(2), pages 203-214, June.
    14. Chamberlain, Gary, 1983. "Funds, Factors, and Diversification in Arbitrage Pricing Models," Econometrica, Econometric Society, vol. 51(5), pages 1305-1323, September.
    15. Grossman, Sanford J. & Vila, Jean-Luc, 1992. "Optimal Dynamic Trading with Leverage Constraints," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(2), pages 151-168, June.
    16. Bamber, Ls, 1986. "The Information-Content Of Annual Earnings Releases - A Trading Volume Approach," Journal of Accounting Research, Wiley Blackwell, vol. 24(1), pages 40-56.
    17. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    18. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    19. Richardson, Gordon & Sefcik, Stephan E. & Thompson, Rex, 1986. "A test of dividend irrelevance using volume reactions to a change in dividend policy," Journal of Financial Economics, Elsevier, vol. 17(2), pages 313-333, December.
    20. Jain, Prem C. & Joh, Gun-Ho, 1988. "The Dependence between Hourly Prices and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(3), pages 269-283, September.
    21. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    22. Michaely, Roni & Vila, Jean-Luc, 1995. "Investors' Heterogeneity, Prices, and Volume around the Ex-Dividend Day," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(2), pages 171-198, June.
    23. Lakonishok, Josef & Smidt, Seymour, 1986. "Volume for Winners and Losers: Taxation and Other Motives for Stock Trading," Journal of Finance, American Finance Association, vol. 41(4), pages 951-974, September.
    24. Morse, Dale, 1980. "Asymmetrical Information in Securities Markets and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(5), pages 1129-1148, December.
    25. He, Hua & Wang, Jiang, 1995. "Differential Information and Dynamic Behavior of Stock Trading Volume," The Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 919-972.
    26. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    27. Vayanos, Dimitri, 1998. "Transaction Costs and Asset Prices: A Dynamic Equilibrium Model," The Review of Financial Studies, Society for Financial Studies, vol. 11(1), pages 1-58.
    28. George M. Constantinides, 2005. "Capital Market Equilibrium with Transaction Costs," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 7, pages 207-227, World Scientific Publishing Co. Pte. Ltd..
    29. Chan, Louis K C & Lakonishok, Josef, 1995. "The Behavior of Stock Prices around Institutional Trades," Journal of Finance, American Finance Association, vol. 50(4), pages 1147-1174, September.
    30. MacKinlay, A. Craig, 1987. "On multivariate tests of the CAPM," Journal of Financial Economics, Elsevier, vol. 18(2), pages 341-371, June.
    31. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    32. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-887, September.
    33. A. Craig MacKinlay, 1994. "Multifactor Models Do Not Explain Deviations from the CAPM," NBER Working Papers 4756, National Bureau of Economic Research, Inc.
    34. Michaely, Roni & Vila, Jean-Luc, 1996. "Trading Volume with Private Valuation: Evidence from the Ex-dividend Day," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 471-509.
    35. Sanford J. Grossman & Zhongquan Zhou, 1993. "Optimal Investment Strategies For Controlling Drawdowns," Mathematical Finance, Wiley Blackwell, vol. 3(3), pages 241-276, July.
    36. Grossman, Sanford J & Zhou, Zhongquan, 1996. "Equilibrium Analysis of Portfolio Insurance," Journal of Finance, American Finance Association, vol. 51(4), pages 1379-1403, September.
    37. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-168, February.
    38. Allen B. Atkins & Edward A. Dyl, 1997. "Market Structure And Reported Trading Volume: Nasdaq Versus The Nyse," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(3), pages 291-304, September.
    39. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," The Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
    40. Andersen, Torben G, 1996. "Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility," Journal of Finance, American Finance Association, vol. 51(1), pages 169-204, March.
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    2. Shi, Leilei, 2006. "Does security transaction volume–price behavior resemble a probability wave?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 419-436.
    3. Augustin, Patrick & Sokolovski, Valeri & Subrahmanyam, Marti G., 2016. "Why do investors buy sovereign default insurance?," CFS Working Paper Series 540, Center for Financial Studies (CFS).
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    5. Andrey Kudryavtsev, 2017. "The Effect of Stock Return Sequences on Trading Volumes," IJFS, MDPI, vol. 5(4), pages 1-15, October.

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    More about this item

    Keywords

    Trading volume; Asset prices;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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