An analytical study of equity derivatives traded on the NSE of India
Parizad Phiroze Dungore,
Kulbir Singh and
Rajesh Pai
Cogent Business & Management, 2022, vol. 9, issue 1, 2100616
Abstract:
To analyze day trading dynamics for Nifty Index futures and options contracts, a detailed study is steered to understand the quantum of volume traded and how volume traded affects the underlying volatility. Day trades are about 30% and 46% of the total trades for futures and options contracts, respectively. This signifies high volatility. Volume traded by individuals is bulk compared to other categories for both intraday and non-day trades. This study estimates the volatility volume dynamics. Volatility is assessed by the minimum-variance unbiased estimator. This method, independent of the drift and opening jumps, provides estimates of the least variance for more accuracy. Volume is segmented into a number of trades and average trade size. To understand the effect of volume, trade size and inventory on volatility, we use the logit regression function. For non-day Nifty Index futures contracts, low volumes are traded as opposed to high volumes for day trades, suggesting high speculative activity. For options contracts, the volume volatility estimates although significant are weak compared to futures contracts.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/23311975.2022.2100616 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:oabmxx:v:9:y:2022:i:1:p:2100616
Ordering information: This journal article can be ordered from
http://cogentoa.tandfonline.com/journal/OABM20
DOI: 10.1080/23311975.2022.2100616
Access Statistics for this article
Cogent Business & Management is currently edited by Len Tiu Wright and Tahir Nisar
More articles in Cogent Business & Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().