IDEAS home Printed from https://ideas.repec.org/a/vrs/zirebs/v27y2024i1p201-230n1010.html
   My bibliography  Save this article

COVID-19 and Seasonality in Monthly Returns: a Firm Level Analysis of PSX

Author

Listed:
  • Naz Farah

    (Kinnaird College for Women, Lahore, Punjab, Pakistan.)

  • Lutfullah Tooba

    (Kinnaird College for Women, Lahore, Punjab, Pakistan.)

  • Zahra Kanwal

    (University of Central Punjab, Lahore, Punjab, Pakistan.)

Abstract

The current study scrutinizes the calendar anomalies in the context of the local market by analyzing the Pakistan Stock Exchange (PSX). For this purpose, closing prices of KSE-100, KSE-30 and KSE-All share Index from January, 2009 to June, 2021 have been used as well as a thorough individual firm level analysis is done, taking average log-returns of selected sample firms returns using OLS regression, general GARCH (1,1), asymmetric TGARCH and PGARCH models. The results indicate monthly seasonality, with significant April, July, and September effect in PSX indices returns. The findings of the study reveal that weak form inefficiency exists in Pakistan Stock Market, which implies the possibility of earning abnormal returns by investors using timing strategies. Due to global pandemic conditions, investor psychology investors turned circumspect. Consequently, the individual firms’ trading has also reduced.

Suggested Citation

  • Naz Farah & Lutfullah Tooba & Zahra Kanwal, 2024. "COVID-19 and Seasonality in Monthly Returns: a Firm Level Analysis of PSX," Zagreb International Review of Economics and Business, Sciendo, vol. 27(1), pages 201-230.
    • Handle: RePEc:vrs:zirebs:v:27:y:2024:i:1:p:201-230:n:1010
    DOI: 10.2478/zireb-2024-0010
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/zireb-2024-0010
    Download Restriction: no
    File URL: https://libkey.io/10.2478/zireb-2024-0010?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
    ---><---

    More about this item

    Keywords

    month-of-the-year effect; July Effect; Tax loss selling hypothesis; Pakistan stock exchange; calendar effect; July Effect; Tax loss selling;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    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:vrs:zirebs:v:27:y:2024:i:1:p:201-230:n:1010. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.