IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v20y2007i6p1749-1782.html
   My bibliography  Save this article

Turning over Turnover

Author

Listed:
  • K. J. Martijn Cremers
  • Jianping Mei

Abstract

This article applies the methodology of Bai and Ng (2002, 2004) for decomposing panel data into systematic and idiosyncratic components to both stock returns and turnover panels. This approach works well for both returns and turnover, despite the presence of severe heteroscedasticity and nonstationarity of individual stocks' turnover. We test the mutual fund separation model of Lo and Wang (2000). Trading due to systematic risk in returns can account for 66% of systematic turnover. Thus, portfolio rebalancing due to systematic risk is a very important motive for stock trading. Finally, several common turnover measures may understate the impact of stock trading. , Oxford University Press.

Suggested Citation

  • K. J. Martijn Cremers & Jianping Mei, 2007. "Turning over Turnover," The Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1749-1782, November.
    • Handle: RePEc:oup:rfinst:v:20:y:2007:i:6:p:1749-1782
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhm038
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. repec:bla:jfinan:v:53:y:1998:i:5:p:1563-1587 is not listed on IDEAS
    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. David Easley & Soeren Hvidkjaer & Maureen O'Hara, 2002. "Is Information Risk a Determinant of Asset Returns?," Journal of Finance, American Finance Association, vol. 57(5), pages 2185-2221, October.
    4. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    5. Tarun Chordia & Richard Roll & Avanidhar Subrahmanyam, 2001. "Market Liquidity and Trading Activity," Journal of Finance, American Finance Association, vol. 56(2), pages 501-530, April.
    6. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
    7. Connor, Gregory & Korajczyk, Robert A, 1993. "A Test for the Number of Factors in an Approximate Factor Model," Journal of Finance, American Finance Association, vol. 48(4), pages 1263-1291, September.
    8. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2002. "Dynamic Volume-Return Relation of Individual Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1005-1047.
    9. 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.
    10. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2001. "Forecasting crashes: trading volume, past returns, and conditional skewness in stock prices," Journal of Financial Economics, Elsevier, vol. 61(3), pages 345-381, September.
    11. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    12. 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.
    13. 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.
    14. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    15. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    16. 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.
    17. Jonathan B. Berk, 2000. "Sorting Out Sorts," Journal of Finance, American Finance Association, vol. 55(1), pages 407-427, February.
    18. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2000. "Commonality in liquidity," Journal of Financial Economics, Elsevier, vol. 56(1), pages 3-28, April.
    19. 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.
    20. Stickel, Scott E., 1991. "The Ex-Dividend Behavior of Nonconvertible Preferred Stock Returns and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 26(1), pages 45-61, March.
    21. Connor, Gregory & Korajczyk, Robert A., 1988. "Risk and return in an equilibrium APT : Application of a new test methodology," Journal of Financial Economics, Elsevier, vol. 21(2), pages 255-289, September.
    22. 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.
    23. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    24. Maureen O'Hara, 2003. "Presidential Address: Liquidity and Price Discovery," Journal of Finance, American Finance Association, vol. 58(4), pages 1335-1354, August.
    25. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    26. 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.
    27. Hasbrouck, Joel & Seppi, Duane J., 2001. "Common factors in prices, order flows, and liquidity," Journal of Financial Economics, Elsevier, vol. 59(3), pages 383-411, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Azi Ben‐Rephael & Bruce I. Carlin & Zhi Da & Ryan D. Israelsen, 2021. "Information Consumption and Asset Pricing," Journal of Finance, American Finance Association, vol. 76(1), pages 357-394, February.
    2. Andrade, Sandro C. & Bian, Jiangze & Burch, Timothy R., 2013. "Analyst Coverage, Information, and Bubbles," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(5), pages 1573-1605, October.
    3. Hameed, Allaudeen & Xie, Jing, 2019. "Preference for dividends and return comovement," Journal of Financial Economics, Elsevier, vol. 132(1), pages 103-125.
    4. Ľuboš Pástor & Robert F. Stambaugh & Lucian A. Taylor, 2017. "Do Funds Make More When They Trade More?," Journal of Finance, American Finance Association, vol. 72(4), pages 1483-1528, August.
    5. Min Hwang & John Quigley, 2010. "Housing Price Dynamics in Time and Space: Predictability, Liquidity and Investor Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 41(1), pages 3-23, July.
    6. Aragon, George O. & Dieckmann, Stephan, 2011. "Stock market trading activity and returns around milestones," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 570-584, September.
    7. Edelen, Roger M. & Kadlec, Gregory B., 2012. "Delegated trading and the speed of adjustment in security prices," Journal of Financial Economics, Elsevier, vol. 103(2), pages 294-307.
    8. Perez, M. Fabricio & Shkilko, Andriy & Sokolov, Konstantin, 2015. "Factor models for binary financial data," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 177-188.
    9. Marcos Vizcaíno-González & Susana Iglesias-Antelo & Noelia Romero-Castro, 2019. "Assessing Sustainability-Related Systematic Reputational Risk through Voting Results in Corporate Meetings: A Cross-Industry Analysis," Sustainability, MDPI, vol. 11(5), pages 1-11, March.
    10. Rossi, Francesco, 2012. "UK cross-sectional equity data: The case for robust investability filters," European Economic Letters, European Economics Letters Group, vol. 1(1), pages 6-13.
    11. Dion Bongaerts & Richard Roll & Dominik Rösch & Mathijs van Dijk & Darya Yuferova, 2022. "How Do Shocks Arise and Spread Across Stock Markets? A Microstructure Perspective," Management Science, INFORMS, vol. 68(4), pages 3071-3089, April.
    12. Rossi, Francesco, 2011. "U.K. cross-sectional equity data: do not trust the dataset! The case for robust investability filters," MPRA Paper 38303, University Library of Munich, Germany, revised Nov 2011.
    13. Pankaj K. Jain & Mohamed Mekhaimer & Sandra Mortal, 2020. "Commonality in liquidity and multilateral trading facilities," The Financial Review, Eastern Finance Association, vol. 55(3), pages 481-502, August.
    14. Rossi, Francesco, 2011. "Risk components in UK cross-sectional equities: evidence of regimes and overstated parametric estimates," MPRA Paper 38682, University Library of Munich, Germany, revised 31 Mar 2012.

    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. Martijn Cremers & Jianping Mei, 2004. "Turning Over Turnover," Yale School of Management Working Papers ysm429, Yale School of Management, revised 01 May 2008.
    2. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    3. Serge Darolles & Gaëlle Le Fol, 2003. "Trading Volume and Arbitrage," Working Papers 2003-46, Center for Research in Economics and Statistics.
    4. Gagnon, Louis & Karolyi, G. Andrew, 2009. "Information, Trading Volume, and International Stock Return Comovements: Evidence from Cross-Listed Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(4), pages 953-986, August.
    5. Zhaodan Huang & James B. Heian, 2010. "Trading‐Volume Shocks And Stock Returns: An Empirical Analysis," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(2), pages 153-177, June.
    6. Chuang, Wen-I & Lee, Bong-Soo, 2006. "An empirical evaluation of the overconfidence hypothesis," Journal of Banking & Finance, Elsevier, vol. 30(9), pages 2489-2515, September.
    7. Yamani, Ehab, 2023. "Return–volume nexus in financial markets: A survey of research," Research in International Business and Finance, Elsevier, vol. 65(C).
    8. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    9. Wang, Zijun & Qian, Yan & Wang, Shiwen, 2018. "Dynamic trading volume and stock return relation: Does it hold out of sample?," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 195-210.
    10. Nyborg, Kjell G. & Östberg, Per, 2014. "Money and liquidity in financial markets," Journal of Financial Economics, Elsevier, vol. 112(1), pages 30-52.
    11. Tarun Chordia & Asani Sarkar & Avanidhar Subrahmanyam, 2001. "Common determinants of bond and stock market liquidity: the impact of financial crises, monetary policy, and mutual fund flows," Staff Reports 141, Federal Reserve Bank of New York.
    12. Chordia, Tarun & Sarkar, Asani & Subrahmanyam, Avanidhar, 2005. "The Joint Dynamics of Liquidity, Returns, and Volatility Across Small and Large Firms," University of California at Los Angeles, Anderson Graduate School of Management qt6z81z2wc, Anderson Graduate School of Management, UCLA.
    13. Chuang, Wen-I & Liu, Hsiang-Hsi & Susmel, Rauli, 2012. "The bivariate GARCH approach to investigating the relation between stock returns, trading volume, and return volatility," Global Finance Journal, Elsevier, vol. 23(1), pages 1-15.
    14. 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.
    15. Khandani, Amir E. & Lo, Andrew W., 2011. "What happened to the quants in August 2007? Evidence from factors and transactions data," Journal of Financial Markets, Elsevier, vol. 14(1), pages 1-46, February.
    16. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
    17. Guo, Hui & Savickas, Robert, 2006. "Idiosyncratic Volatility, Stock Market Volatility, and Expected Stock Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 43-56, January.
    18. Chordia, Tarun & Sarkar, Asani & Subrahmanyam, Avanidhar, 2001. "An Empirical Analysis of Stock and Bond Market Liquidity: Forthcoming in the Review of Financial Studies," University of California at Los Angeles, Anderson Graduate School of Management qt9178v9kq, Anderson Graduate School of Management, UCLA.
    19. Tarun Chordia & Asani Sarkar & Avanidhar Subrahmanyam, 2003. "An empirical analysis of stock and bond market liquidity," Staff Reports 164, Federal Reserve Bank of New York.
    20. Mamdouh Medhat & Maik Schmeling, 2022. "Short-term Momentum," The Review of Financial Studies, Society for Financial Studies, vol. 35(3), pages 1480-1526.

    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:oup:rfinst:v:20:y:2007:i:6:p:1749-1782. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sfsssea.html .

    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.