IDEAS home Printed from https://ideas.repec.org/a/wly/apsmbi/v16y2000i1p47-71.html
   My bibliography  Save this article

Weekday dependence of German stock market returns

Author

Listed:
  • Helmut Herwartz

Abstract

The so‐called ‘Monday effect’ has been found for various stock markets of the world. The empirical finding that Monday returns are significantly smaller than returns measured for the remaining days of the week calls the efficiency hypothesis for pricing processes operating on stock markets into question. Investigating an index series measured at the Frankfurt stock exchange the paper compares estimation results of parametric and non‐parametric autoregressive models with respect to possible weekday dependence of return data. Allowing for heteroskedastic error distributions the wild bootstrap is used to infer against time‐varying means and correlation of return data in parametric models and to obtain confidence bands for non‐parametric estimates. It is shown that time dependence is an important feature describing the dynamics of German stock market returns in the period 1960–1979. Within two subsamples obtained from the period 1980–1997 the evidence in favour of such effects is mitigated substantially. Copyright © 2000 John Wiley & Sons, Ltd.

Suggested Citation

  • Helmut Herwartz, 2000. "Weekday dependence of German stock market returns," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 16(1), pages 47-71, January.
    • Handle: RePEc:wly:apsmbi:v:16:y:2000:i:1:p:47-71
    DOI: 10.1002/(SICI)1526-4025(200001/03)16:13.0.CO;2-#
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/(SICI)1526-4025(200001/03)16:13.0.CO;2-#
    Download Restriction: no
    File URL: https://libkey.io/10.1002/(SICI)1526-4025(200001/03)16:13.0.CO;2-#?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Koch, Rosemarie & Stadtmann, Georg, 2010. "Das Gesetz zur Angemessenheit der Vorstandsvergütung," Discussion Papers 288, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    2. Hafner, Christian M. & Herwartz, Helmut, 2001. "Option pricing under linear autoregressive dynamics, heteroskedasticity, and conditional leptokurtosis," Journal of Empirical Finance, Elsevier, vol. 8(1), pages 1-34, March.

    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:wly:apsmbi:v:16:y:2000:i:1:p:47-71. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1526-4025 .

    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.