IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01363700.html
   My bibliography  Save this paper

Relationships between Trading Volume, Stock Returns and Volatility: Evidence from the French Stock Market

Author

Listed:
  • Anthony Miloudi

    (CRIEF [Poitiers] - Centre de recherche sur l'intégration économique et financière - UP - Université de Poitiers = University of Poitiers, La Rochelle Business School)

  • Mondher Bouattour

    (La Rochelle Business School, LGCO - Laboratoire Gouvernance et Contrôle Organisationnel - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse)

  • Ramzi Benkraiem

    (Audencia Business School)

Abstract

This paper investigates the relations between market turnover, stock returns and conditional volatility on the French stock market. Our database consists of monthly observations of 128 common stocks from April 1996 to October 2014. We aggregate data to study the market-wide relationships between turnover, returns and volatility. Using contemporaneous relations, bivariate vector autoregression (VAR), Granger causality test and impulse response functions, we find that market turnover is positively related to contemporaneous and past returns, which we interpret as evidence of the mixture of distributions hypothesis (MDH) and the investor overconfidence hypothesis. This suggests that stock returns help forecast volume. However, there is weaker evidence regarding the informative content of trading volume when forecasting returns.

Suggested Citation

  • Anthony Miloudi & Mondher Bouattour & Ramzi Benkraiem, 2016. "Relationships between Trading Volume, Stock Returns and Volatility: Evidence from the French Stock Market," Post-Print hal-01363700, HAL.
  • Handle: RePEc:hal:journl:hal-01363700
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Olkhov, Victor, 2020. "Volatility Depend on Market Trades and Macro Theory," MPRA Paper 102434, University Library of Munich, Germany.
    2. Nidhal Mgadmi & Khemaies Bougatef, 2017. "Modeling volatility of the French stock market," Economics Bulletin, AccessEcon, vol. 37(2), pages 988-998.
    3. Olkhov, Victor, 2020. "Price, Volatility and the Second-Order Economic Theory," MPRA Paper 102767, University Library of Munich, Germany.
    4. Andrey Kudryavtsev, 2019. "The Effect Of Trading Volumes On Stock Returns Following Large Price Moves," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 64(220), pages 85-116, January –.

    More about this item

    Keywords

    Turnover; Stock market returns; VAR analysis; Granger causality test; Impulse response functions.;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    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:hal:journl:hal-01363700. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.