IDEAS home Printed from https://ideas.repec.org/a/eee/empfin/v15y2008i2p251-264.html
   My bibliography  Save this article

The factor structure of time-varying conditional volume

Author

Listed:
  • Chang, Eric C.
  • Cheng, Joseph W.
  • Pinegar, J. Michael

Abstract

We document a set of instruments that explain a large fraction of the time series variation in turnover between 1966 and 2003. We use these relations in latent variable tests that examine the number of predictable factors that drive conditional expected time-varying turnover. After refining the weighting matrix as suggested by Ferson and Foerster [Ferson, W. and S. Foerster, 1994. "Finite Sample Properties of the Generalized Method of Moments in Tests of Conditional Asset Pricing Models." Journal of Financial Economics 36, 29-55.] and Bekaert and Urias [Bekaert, G. and M.S. Urias, 1996. "Diversification, Integration and Emerging Market Closed-End Funds." Journal of Finance 51, 835-869.] and accounting for dimensionality as suggested by Gallant and Tauchen [Gallant, R. and G. Tauchen, 1991. "Seminonparametric Estimation of Conditionally Constrained Heterogeneous Processes: Asset Pricing Applications." Econometrica 57, 1091-1119.], we reject a one-factor model. However, this rejection is partially driven by non-stationarity. When we correct for non-stationarity by using normalized turnover, we reject a single-factor model in the second half of our sample but not in the first. Our work extends recent work by Tkac [Tkac, P.A., 1999. "A Trading Volume Benchmark: Theory and Evidence." Journal of Financial and Quantitative Analysis 34, 89-114.] and by Lo and Wang [Lo, A. and J. Wang, 2000. "Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory." Review of Financial Studies 13, 257-300.] who develop and test implications of share turnover for asset pricing relations.

Suggested Citation

  • Chang, Eric C. & Cheng, Joseph W. & Pinegar, J. Michael, 2008. "The factor structure of time-varying conditional volume," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 251-264, March.
    • Handle: RePEc:eee:empfin:v:15:y:2008:i:2:p:251-264
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927-5398(07)00065-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Andrew W. Lo & Jiang Wang, 2006. "Trading Volume: Implications of an Intertemporal Capital Asset Pricing Model," Journal of Finance, American Finance Association, vol. 61(6), pages 2805-2840, December.
    3. 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.
    4. Bessembinder, Hendrik & Chan, Kalok & Seguin, Paul J., 1996. "An empirical examination of information, differences of opinion, and trading activity," Journal of Financial Economics, Elsevier, vol. 40(1), pages 105-134, January.
    5. Campbell, John Y., 1987. "Stock returns and the term structure," Journal of Financial Economics, Elsevier, vol. 18(2), pages 373-399, June.
    6. Campbell, John Y & Hamao, Yasushi, 1992. "Predictable Stock Returns in the United States and Japan: A Study of Long-Term Capital Market Integration," Journal of Finance, American Finance Association, vol. 47(1), pages 43-69, March.
    7. Gibbons, Michael R. & Ferson, Wayne, 1985. "Testing asset pricing models with changing expectations and an unobservable market portfolio," Journal of Financial Economics, Elsevier, vol. 14(2), pages 217-236, June.
    8. Schwert, G William, 1989. " Why Does Stock Market Volatility Change over Time?," Journal of Finance, American Finance Association, vol. 44(5), pages 1115-1153, December.
    9. K. Geert Rouwenhorst, 1999. "Local Return Factors and Turnover in Emerging Stock Markets," Journal of Finance, American Finance Association, vol. 54(4), pages 1439-1464, August.
    10. Tarun Chordia & Bhaskaran Swaminathan, 2000. "Trading Volume and Cross‐Autocorrelations in Stock Returns," Journal of Finance, American Finance Association, vol. 55(2), pages 913-935, April.
    11. 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.
    12. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    13. Bekaert, Geert & Urias, Michael S, 1996. "Diversification, Integration and Emerging Market Closed-End Funds," Journal of Finance, American Finance Association, vol. 51(3), pages 835-869, July.
    14. Blume, Lawrence & Easley, David & O'Hara, Maureen, 1994. "Market Statistics and Technical Analysis: The Role of Volume," Journal of Finance, American Finance Association, vol. 49(1), pages 153-181, March.
    15. Simon Gervais & Ron Kaniel & Dan H. Mingelgrin, 2001. "The High‐Volume Return Premium," Journal of Finance, American Finance Association, vol. 56(3), pages 877-919, June.
    16. Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-1286, September.
    17. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-858, May.
    18. Chang, Eric C. & Huang, Roger D., 1990. "Time-Varying Return and Risk in the Corporate Bond Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(3), pages 323-340, September.
    19. Lars Peter Hansen & Robert J. Hodrick, 1983. "Risk Averse Speculation in the Forward Foreign Exchange Market: An Econometric Analysis of Linear Models," NBER Chapters, in: Exchange Rates and International Macroeconomics, pages 113-152, National Bureau of Economic Research, Inc.
    20. Ferson, Wayne E. & Foerster, Stephen R., 1994. "Finite sample properties of the generalized method of moments in tests of conditional asset pricing models," Journal of Financial Economics, Elsevier, vol. 36(1), pages 29-55, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wayne E. Ferson & Ravi Jagannathan, 1996. "Econometric evaluation of asset pricing models," Staff Report 206, Federal Reserve Bank of Minneapolis.
    2. Clare, A. D. & Smith, P. N. & Thomas, S. H., 1997. "UK stock returns and robust tests of mean variance efficiency," Journal of Banking & Finance, Elsevier, vol. 21(5), pages 641-660, May.
    3. Ahn, Seung C. & Gadarowski, Christopher, 2004. "Small sample properties of the GMM specification test based on the Hansen-Jagannathan distance," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 109-132, January.
    4. Siddique, Akhtar R., 2003. "Common asset pricing factors in volatilities and returns in futures markets," Journal of Banking & Finance, Elsevier, vol. 27(12), pages 2347-2368, December.
    5. Clémentine Florens & Eric Jondeau & Hervé Le Bihan, 2001. "Assessing GMM Estimates of the Federal Reserve Reaction Function," Econometrics 0111003, University Library of Munich, Germany.
    6. Bekaert, Geert & Harvey, Campbell R., 1997. "Emerging equity market volatility," Journal of Financial Economics, Elsevier, vol. 43(1), pages 29-77, January.
    7. Peter Smith & Michael Wickens, 2002. "Asset Pricing with Observable Stochastic Discount Factors," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 397-446, July.
    8. Patricia Fraser & Andrew McKaig, 2001. "Basis variation and a common source of risk: evidence from UK futures markets," The European Journal of Finance, Taylor & Francis Journals, vol. 7(1), pages 39-62.
    9. Kim, Kenneth A. & Limpaphayom, Piman, 1997. "The effect of economic regimes on the relation between term structure and real activity in Japan," Journal of Economics and Business, Elsevier, vol. 49(4), pages 379-392.
    10. Bekaert, Geert & Harvey, Campbell R, 1995. "Time-Varying World Market Integration," Journal of Finance, American Finance Association, vol. 50(2), pages 403-444, June.
    11. Motohiro Yogo, 2006. "A Consumption‐Based Explanation of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 61(2), pages 539-580, April.
    12. Alizadeh, Amir H., 2013. "Trading volume and volatility in the shipping forward freight market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 250-265.
    13. Bakshi, Gurdip S. & Chen, Zhiwu & Naka, Atsuyuki, 1995. "Production-based asset pricing in Japan," Pacific-Basin Finance Journal, Elsevier, vol. 3(2-3), pages 217-240, July.
    14. Scott Gilbert & Petr Zemčík, 2005. "Testing for Latent Factors in Models with Autocorrelation and Heteroskedasticity of Unknown Form," Southern Economic Journal, John Wiley & Sons, vol. 72(1), pages 236-252, July.
    15. Guedhami, Omrane & Sy, Oumar, 2005. "Does conditional market skewness resolve the puzzling market risk-return relationship?," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 582-598, September.
    16. Keunbae Ahn, 2021. "Predictable Fluctuations in the Cross-Section and Time-Series of Asset Prices," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2021.
    17. Ayadi, Mohamed A. & Kryzanowski, Lawrence, 2005. "Portfolio performance measurement using APM-free kernel models," Journal of Banking & Finance, Elsevier, vol. 29(3), pages 623-659, March.
    18. Bakshi, Gurdip S. & Naka, Atsuyuki, 1997. "An empirical investigation of asset pricing models using Japanese stock market data," Journal of International Money and Finance, Elsevier, vol. 16(1), pages 81-112, February.
    19. Charles Cao & Jing-Zhi Huang, 2007. "Determinants of S&P 500 index option returns," Review of Derivatives Research, Springer, vol. 10(1), pages 1-38, January.
    20. Li, Yuming, 1998. "Expected stock returns, risk premiums and volatilities of economic factors1," Journal of Empirical Finance, Elsevier, vol. 5(2), pages 69-97, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:empfin:v:15:y:2008:i:2:p:251-264. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jempfin .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.