- Volume 13 Number 1 ( Feb. 2023)
- Volume 13 Number 2 ( April. 2023)
- Volume 13 Number 3 (Jun. 2023)
- Volume 13 Number 4 (Aug. 2023)
- Volume 13 Number 5 ( Oct. 2023)
- Volume 13 Number 6 ( Dec. 2023)
- Volume 12 Number 1 ( Feb. 2022)
- Volume 12 Number 2 ( May. 2022)
- Volume 12 Number 3 (Aug. 2022)
- Volume 12 Number 4 ( Nov. 2022)
- Volume 11 Number 1 ( Feb. 2021)
- Volume 11 Number 2 ( May. 2021)
- Volume 11 Number 3 (Aug. 2021)
- Volume 11 Number 4 ( Nov. 2021)
- Volume 10 Number 1 ( Feb. 2020)
- Volume 10 Number 2 ( May. 2020)
- Volume 10 Number 3 (Aug. 2020)
- Volume 10 Number 4 ( Nov. 2020)
- Volume 9 Number 1 ( Feb. 2019)
- Volume 9 Number 2 ( May. 2019)
- Volume 9 Number 3 ( Aug. 2019)
- Volume 9 Number 4 ( Nov. 2019)
- Volume 8 Number 1 ( Jan. 2018)
- Volume 8 Number 2 (Feb. 2018)
- Volume 8 Number 3 (Mar. 2018)
- Volume 8 Number 4 (Apr. 2018)
- Volume 8 Number 5 (May. 2018)
- Volume 8 Number 6 (Jun. 2018)
- Volume 8 Number 7 (Jul. 2018)
- Volume 8 Number 8 (Aug. 2018)
- Volume 8 Number 9 (Sep. 2018)
- Volume 8 Number 10 (Oct. 2018)
- Volume 8 Number 11 (Nov. 2018)
- Volume 8 Number 12 (Dec. 2018)
- Volume 7 Number 1 (Jan. 2017)
- Volume 7 Number 2 (Feb. 2017)
- Volume 7 Number 3 (Mar. 2017)
- Volume 7 Number 4 (April. 2017)
- Volume 7 Number 5 (May. 2017)
- Volume 7 Number 6 (Jun. 2017)
- Volume 7 Number 7 (Jul. 2017)
- Volume 7 Number 8 (Aug. 2017)
- Volume 7 Number 9 (Sep. 2017)
- Volume 7 Number 10 ( Oct. 2017)
- Volume 7 Number 11 ( Nov. 2017)
- Volume 7 Number 12 ( Dec. 2017)
- Volume 6 Number 1 (Jan. 2016)
- Volume 6 Number 2 (Feb. 2016)
- Volume 6 Number 3 (Mar. 2016)
- Volume 6 Number 4 (Apr. 2016)
- Volume 6 Number 5 (May 2016)
- Volume 6 Number 6 (Jun. 2016)
- Volume 6 Number 7 (Jul. 2016)
- Volume 6 Number 8 (Aug. 2016)
- Volume 6 Number 9 (Sep. 2016)
- Volume 6 Number 10 (Oct. 2016)
- Volume 6 Number 11 (Nov. 2016)
- Volume 6 Number 12 (Dec. 2016)
- Volume 5 Number 1 (Jan. 2015)
- Volume 5 Number 2 (Feb. 2015)
- Volume 5 Number 3 (Mar. 2015)
- Volume 5 Number 4 (Apr. 2015)
- Volume 5 Number 5 (May 2015)
- Volume 5 Number 6 (Jun. 2015)
- Volume 5 Number 7 (Jul. 2015)
- Volume 5 Number 8 (Aug. 2015)
- Volume 5 Number 9 (Sep. 2015)
- Volume 5 Number 10 (Oct. 2015)
- Volume 5 Number 11 (Nov. 2015)
- Volume 5 Number 12 (Dec. 2015)
- Volume 4 Number 1 (Jan. 2014)
- Volume 4 Number 2 (Mar. 2014)
- Volume 4 Number 3 (May 2014)
- Volume 4 Number 4 (Jul. 2014)
- Volume 4 Number 5 (Sep. 2014)
- Volume 4 Number 6 (Nov. 2014)
- Volume 3 Number 1 (Jan. 2013)
- Volume 3 Number 2 (Mar. 2013)
- Volume 3 Number 3 (May 2013)
- Volume 3 Number 4 (Jul. 2013)
- Volume 3 Number 5 (Sep. 2013)
- Volume 3 Number 6 (Nov. 2013)
- Volume 2 Number 1 (Jan. 2012)
- Volume 2 Number 2 (Mar. 2012)
- Volume 2 Number 3 (May 2012)
- Volume 2 Number 4 (Jul. 2012)
- Volume 2 Number 5 (Sep. 2012)
- Volume 2 Number 6 (Nov. 2012)
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
- ISSN: 2010-3646 (Online)
- Abbreviated Title: Int. J. Social. Scienc. Humanit.
- Frequency: Bimonthly
- DOI: 10.18178/IJSSH
- Editor-in-Chief: Prof. Paul Sudnik
- Executive Editor: Ms. Yoyo Y. Zhou
- Abstracting/ Indexing: Google Scholar, Index Copernicus, Crossref, Electronic Journals Library
- E-mail: ijssh.editorial.office@gmail.com
Home> Archive> 2016> Volume 6 Number 12 (Dec. 2016)
IJSSH 2016 Vol.6(12): 913-918 ISSN: 2010-3646
doi: 10.18178/ijssh.2016.V6.772
doi: 10.18178/ijssh.2016.V6.772
Indian Derivatives Market: A Study of Impact on Volatility and Investor Perception
Divya Verma Gakhar
Abstract—Derivatives Market has an important role to play in the economic development of a country. The objective of the study is to examine the impact of financial derivatives (futures and options) on the underlying market volatility. The paper also analyses derivatives awareness level of Indian investor and perception of investor about future of derivatives market in India.
Data has been collected for a period of 18 years from January 1, 1997 to February 5, 2015. The questionnaire was distributed to 1000 respondents but 522 filled questionnaires were received and have been analyzed in this study.
The final AR (1)-GARCH (1,1) model show that overall volatility has reduced in the spot market after the introduction of derivatives. The results of Structural Equation Modelling reveals perception of investors about future of derivatives market in India includes having an investor grievance redressal mechanism which is approachable under trading hours, steps to be taken by regulators to increase investments, conducting investor training and awareness programmes, global integration will happen, derivatives market will affect growth of the economy and consolidation of exchanges is required.
Index Terms—Volatility, derivatives, GARCH, perception, derivatives awareness level, NIFTY.
Divya Verma Gakhar is with University School of Management Studies Institution - Guru Gobind Singh Indraprastha University, New Delhi, India (e-mail: divya.ipu@gmail.com).
Index Terms—Volatility, derivatives, GARCH, perception, derivatives awareness level, NIFTY.
Divya Verma Gakhar is with University School of Management Studies Institution - Guru Gobind Singh Indraprastha University, New Delhi, India (e-mail: divya.ipu@gmail.com).
Cite: Divya Verma Gakhar, "Indian Derivatives Market: A Study of Impact on Volatility and Investor Perception," International Journal of Social Science and Humanity vol. 6, no. 12, pp. 913-918, 2016.