New IJF now accepts submissions exclusively via the Editorial Scholar portal — a dedicated submission & review system.
Go to Editorial Scholar →
Associated Management Consultants Pvt. Ltd. | COPE Member
Scopus Q2 UGC-CARE |
Indian Journal of Finance logo

Indian Journal of Finance

ISSN: 0973-8711 Frequency: Monthly Peer Review: Double-blind Published since: 2007 Language: English
A publication of AMCPL
amcon.co.in
New Delhi, India
Indexed in: Scopus Q2 UGC-CARE Group II Google Scholar J-Gate NISCAIR Crossref

Original Article

Open Access Original Article

Lower Boundary Conditions and Pricing Efficiency Testing of Indian Index Options Market : Empirical Evidence from Nifty 50 Index

Kelvin Mutum1,  Ashim Kr. Das2

1 Research Scholar, Department of Humanities and Social Sciences, NIT Silchar, Silchar - 788 010, Assam

2 Assistant Professor, Department of Management Studies, NIT Silchar, Silchar - 788 010, Assam

Volume 13
Issue 3
Pages 26–38
Year 2019
Received: June 7, 2018 Accepted: Feb. 10, 2019 Published: March 22, 2019
Abstract

This article examined the pricing efficiency of the Nifty 50 index options market by empirically testing the lower boundary conditions (LBCs), a model - free approach. The study covered a period from April 1, 2012 to March 31, 2018. The violations of LBCs indicated that options were underpriced (mispriced). The frequency and magnitude of mispriced signals were examined according to liquidity and maturity of the options contracts. This was done with the view that mere mispricing of options does not indicate inefficiency of the market. It is the opportunity to extract abnormal profit (arbitrage) from these mispriced signals which poses a serious threat to the market efficiency. It was observed that most of the mispriced signals were concentrated at the thinly traded region and options which were going to get expired. The magnitude of mispriced signals at the thinly traded region and options which were going to get expired was significantly larger than the moderately and highly traded levels and options, which were far away from the maturity date. Furthermore, in order to validate whether the differences in the magnitude of violations were statistically significant, the hypotheses were formulated and tested for both the call and put options. The results of the study suggested that the Indian index options market during the period of study was efficient as most of the mispriced signals were not exploitable due to lack of liquidity.

Keywords Abnormal Profits Lower Boundary Conditions Mispriced Options Call and Put Options
How to Cite

Kelvin Mutum, Ashim Kr. Das (2019). Lower Boundary Conditions and Pricing Efficiency Testing of Indian Index Options Market : Empirical Evidence from Nifty 50 Index. Indian Journal of Finance, 13(3), 26–38. https://doi.org/10.17010/ijf/2019/v13i3/142266

References
  1. Ackert, L. F., & Tian, Y. S. (2000). Evidence of the efficiency of index options markets. Federal Reserve Bank of Atlanta Economic Review, 85 (1), 40 - 52.
  2. Ackert, L. F., & Tian, Y. S. (2001). Efficiency in index options markets and trading in stock baskets. Journal of Banking & Finance, 25 (9), 1607 - 1634.
  3. Bhattacharya, M. (1983). Transactions data tests of efficiency of the Chicago board options exchange. Journal of Financial Economics, 12 (2), 161 - 185. DOI:10.1016/0304-405x(83)90034-x
  4. Chance, D. M. (1988). Boundary condition tests of bid and ask prices of index call options. Journal of Financial Research, 11(1), 21 - 31. DOI:10.1111/j.1475-6803.1988.tb00063.x
  5. Choksi, A. (2010). Derivative trading in Indian stock market: Investor's perception. Indian Journal of Finance, 4 (3), 50 - 58. DOI:10.17010/ijf/2010/v4i3/72631
  6. Dixit, A., Yadav, S. S., & Jain, P. K. (2009). Violation of lower boundary condition and market efficiency: An investigation into the Indian options market. Journal of Derivatives & Hedge Funds, 15 (1), 3 - 14. DOI:10.1057/jdhf.2008.30
  7. Dixit, A., Yadav, S. S., & Jain, P. K. (2011). Testing lower boundary conditions for index options using futures prices: Evidences from the Indian options market. Vikalpa, 36 (1), 15 - 32. DOI:10.1177/0256090920110102
  8. Galai, D. (1978). Empirical tests of boundary conditions for CBOE options. Journal of Financial Economics, 6 (2 - 3), 187 - 211. DOI:10.1016/0304-405x(78)90029-6
  9. Joshipura, M. (2010). Is an introduction of derivatives trading cause-increased volatility? Indian Journal of Finance, 4 (2), 3 - 7.
  10. Merton, R. C. (1973). Theory of rational option pricing. The Bell Journal of Economics and Management Science, 4 (1), 141 - 183. DOI:10.2307/3003143
  11. Mohanti, D., & Priyan, P. K. (2013). Examining market efficiency using lower boundary condition: An evidence from Indian options market. Vilakshan: The XIMB Journal of Management, 10 (2), 1-19.
  12. National Stock Exchange of India Ltd. (n.d.). Business growth in FO segment. Retrieved from <a href=https://www.nseindia.com/products/content/derivatives/equities/historical_fo_bussinessgrowth.htm target="_blank">https://www.nseindia.com/products/content/derivatives/equities/historical_fo_bussinessgrowth.htm</a>
  13. Pathak, R., Ranajee, & Kumar, S. (2014). Price discovery in the equity derivatives market: A literature survey. Indian Journal of Finance, 8 (6), 47 - 57. DOI:10.17010/ijf/2014/v8i6/71913
  14. Puttonen, V. (1993). Boundary conditions for index options: Evidence from the Finnish market. Journal of Futures Markets, 13 (5), 545 - 562. DOI:10.1002/fut.3990130508
  15. Ramanjaneyalu, N., & Hosmani, A. P. (2010). Financial derivatives and risk management : Retail investors' view. Indian Journal of Finance, 4 (10), 17 - 29.
Editorial Scholar

Submit your Research to IJF

Submit your Manuscript → Author Guidelines