IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v54y2022i3p326-339.html
   My bibliography  Save this article

Spot market and derivative segment of equity in India

Author

Listed:
  • Dheeraj Sharma
  • Shweta Ahalawat
  • Archana Patro
  • Patanjal Kumar

Abstract

The foremost objective of the manuscript is to predict the volatility and causality between spot and derivative segment of equity in India and also to determine long run relationship between the two. Monthly time-series data of 15 years have been taken, from 2003 to 2019 (pre- and post-financial crisis 2008). The unit root test, GARCH model, Granger Causality test under VECM framework have been smeared to infer the volatility and causality between the spot Nifty and Nifty futures. Johansen co-integration test and VECM have been used to determine the long and short run relationship between the two time series. Regression has been applied to determine the impact of spot market on Stock Futures. The outcomes depict that the two variables have positive impact and statistically significant in the short and long run. There exist fluctuations, volatility and lead lag relationship between the two which will help investors and policymakers to take well-formed decisions.

Suggested Citation

  • Dheeraj Sharma & Shweta Ahalawat & Archana Patro & Patanjal Kumar, 2022. "Spot market and derivative segment of equity in India," Applied Economics, Taylor & Francis Journals, vol. 54(3), pages 326-339, January.
  • Handle: RePEc:taf:applec:v:54:y:2022:i:3:p:326-339
    DOI: 10.1080/00036846.2021.1962509
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2021.1962509
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2021.1962509?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:applec:v:54:y:2022:i:3:p:326-339. 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/RAEC20 .

    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.