INDIA VIX: Examining the Negative and Asymmetric Volatility Index – Market Return Relationship

Authors

  •   Gangineni Dhanaiah PhD Research Scholar, JNT University, Hyderabad – 500072
  •   D. Raghunatha Reddy Professor, School of Management Studies, JNT University, Kukatpally, Hyderabad – 500072
  •   T. N. L. Prasad DGM – Finance, NCC Limited, NCC House, Madhapur, Hyderabad- 500081

Keywords:

Volatility Index

, Hedging, Derivatives, Indian Stock market

G1

, G11, G12, G14

Abstract

This paper examines the behavior of India Volatility Index (India VIX). The researchers examined two aspects: First, the negative correlation between changes in India VIX and market returns. Second, the asymmetric nature of the changes in India VIX with respect to market returns. S&P CNX NIFTY Index has been used as a proxy for the market and the study period covers the period from March 2009 through November 2011. Using OLS Regression method on daily data, this study finds an inverse relation between movements in India VIX and movements in the NIFTY. The study reveals the asymmetric nature of the Volatility Index- Market Return relationship. This study is useful for understanding the behavior of India VIX and helps policymakers in the design of appropriate instruments based on India VIX for hedging and risk management.

Downloads

Download data is not yet available.

Downloads

Published

2012-05-01

How to Cite

Dhanaiah, G., Raghunatha Reddy, D., & Prasad, T. N. L. (2012). INDIA VIX: Examining the Negative and Asymmetric Volatility Index – Market Return Relationship. Indian Journal of Finance, 6(5), 4–10. Retrieved from https://indianjournalofcomputerscience.com/index.php/IJF/article/view/72415

Issue

Section

Articles

References

Alessandro Cipollini, A. (2007). 'Can the VIX Signal Market Direction? An Asymmetric Dynamic Strategy'. SSRN. Retrieved from http://ssrn.com/abstract=996384, accessed on October 21,2011.

Badshah, I. U. (2009). 'Asymmetric Return-Volatility Relation, Volatility Transmission and Implied Volatility Indexes.' SSRN. Retrieved from http://ssrn.com/abstract=1344413, accessed on October 22, 2011.

Bagchi, D. (2011). 'Some Preliminary Examination of Predictive Ability of India VIX Abstract.' NSE News, Retrieved from http://www.nseindia.com/content/research/res_241_completed.pdf, accessed on October 20, 2011.

Corrado, C. J., & Miller, T. W., Jr. (2003). 'The Forecast Quality of CBOE Implied Volatility Indexes.' SSRN , Retrieved from papers.ssrn.com/sol3/papers.cfm?abstract_id=436300, accessed on October 20, 2011.

Costas, S., & Athanasios, F. (2009). 'Implied Volatility Indices A Review.' SSRN , Retrieved from papers.ssrn.com/sol3/Delivery.cfm?abstractid=1421202., accessed on October 22, 2011.

Giot, P. (2005). 'On The Relationships Between Implied Volatility Indices And Stock Index Returns.' Journal of Portfolio Management, Spring 2005, Vol. 31, No. 3, pp. 92-100.

Hibbert, A. M., Daigler, R. T., & Dupoyet, B. (2008). 'A Behavioral Explanation For The Negative Asymmetric ReturnVolatility Relation.' Journal of Banking & Finance, Vol. 32, No.2, pp. 2254 - 2266.

Mishra, P. K., K. B. Das and B. B. Pradhan (2010): “Global Financial Crisis and Stock Return Volatility in India.†Indian Journal of Finance, Vol.4, No.6, pp. 21- 41.

Nousiainen, S. (2010). “The Secret Life of Fear: Interdependencies among Implied Volatilities Represented by different Stock Volatility Indices Treated as Assets.†Thesis, University of Gothenburg.

Padhi, P. (2011). 'On the Linkages among Selected Asian, European and the US Implied Volatility Indices.' NSE News. Retrieved from http://www.nseindia.com/education/content/NSEWP_3.pdf, accessed on October 22, 2011.

Whaley, R. E. (2008). 'Understanding VIX.' SSRN, Retrieved from http://ssrn.com/abstract=1296743, accessed on October 21, 2011, pp. 1-35.