IDEAS home Printed from https://ideas.repec.org/a/taf/oaefxx/v10y2022i1p2111783.html
   My bibliography  Save this article

Are Options Trading Strategies Really Effective for Hedging in the Indian Derivatives Market?

Author

Listed:
  • Shivaprasad S P
  • Geetha E
  • Raghavendra Acharya
  • Vidya Bai G
  • Rajeev Matha

Abstract

Hedging being a predominant financial concern, is considered as a robust method of managing investment risks. Literature evinces that the covered call strategy provides nominal returns alongside effective hedging. However, studies have not compared the hedging effectiveness of covered call, covered put, collar, and synthetic long call strategies in the equity segment. The study evaluates the hedging effectiveness of option trading strategies by applying them to the companies of the top six National Stock Exchange (NSE) sector indices for twelve years, from 2009 to 2020 under volatile and neutral market conditions. The study collects data of 18,720 option contracts and considers 3744 observations for each strategy. The panel regression analysis approach is being incorporated into the study. Hausman test results determine the appropriate model between fixed and random effects. Furthermore, the study compares the mean scores of selected strategies to identify significant differences between the groups using the Games-Howell Post Hoc Tukey Test. The study recommended covered call and covered put strategies effectively hedge the investment in both market conditions. The study’s findings help retail investors choose a better hedging strategy and employ the same in their trading, specific to the market condition. Future studies can apply and compare the effectiveness of these strategies in other emerging derivative markets.

Suggested Citation

  • Shivaprasad S P & Geetha E & Raghavendra Acharya & Vidya Bai G & Rajeev Matha, 2022. "Are Options Trading Strategies Really Effective for Hedging in the Indian Derivatives Market?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2111783-211, December.
  • Handle: RePEc:taf:oaefxx:v:10:y:2022:i:1:p:2111783
    DOI: 10.1080/23322039.2022.2111783
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23322039.2022.2111783
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/23322039.2022.2111783?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
    ---><---

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

    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:taf:oaefxx:v:10:y:2022:i:1:p:2111783. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/OAEF20 .

    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.