IDEAS home Printed from https://ideas.repec.org/a/sae/metjou/v15y2016i1p10-19.html
   My bibliography  Save this article

A Study of Expiration-day Effects of Index Derivatives Trading in India

Author

Listed:
  • Rachna Mahalwala

Abstract

This study examines the existence of expiration-day effects of index derivatives trading in India through volume, return, volatility, and price reversal characteristics of underlying stock market during expiration days of these contracts. Expiration-day effects can be a result of a mixture of factors, including the presence of arbitrage opportunities, the cash settlement nature of index derivative contracts, the stock market process for accommodating the unwinding of arbitrage positions in the stocks, and the efforts to wittingly manipulate prices. Using daily price and turnover data of CNX Nifty and employing time series “ARMA model with EGARCH errors,†the results of the study indicated the presence of some significant but non-disastrous expiration-day effects in India.

Suggested Citation

  • Rachna Mahalwala, 2016. "A Study of Expiration-day Effects of Index Derivatives Trading in India," Metamorphosis: A Journal of Management Research, , vol. 15(1), pages 10-19, June.
    • Handle: RePEc:sae:metjou:v:15:y:2016:i:1:p:10-19
    DOI: 10.1177/0972622516629029
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0972622516629029
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0972622516629029?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
    ---><---

    References listed on IDEAS

    as
    1. Antonios Antoniou & Phil Holmes & Richard Priestley, 1998. "The effects of stock index futures trading on stock index volatility: An analysis of the asymmetric response of volatility to news," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(2), pages 151-166, April.
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. Christian Schlag, 1996. "Expiration day effects of stock index derivatives in Germany," European Financial Management, European Financial Management Association, vol. 2(1), pages 69-95, March.
    4. Taisei Kaizoji & Thomas Lux, 2004. "Forecasting Volume and Volatility in the Tokyo Stock Market: The Advantage of Long Memory Models," Computing in Economics and Finance 2004 158, Society for Computational Economics.
    5. Andy Kan, 2001. "Expiration-day effect: evidence from high-frequency data in the Hong Kong stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 11(1), pages 107-118.
    6. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    7. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    8. Per Alkeback & Niclas Hagelin, 2004. "Expiration day effects of index futures and options: evidence from a market with a long settlement period," Applied Financial Economics, Taylor & Francis Journals, vol. 14(6), pages 385-396.
    9. M. Illueca & J. A. LaFuente, 2006. "New evidence on expiration‐day effects using realized volatility: An intraday analysis for the Spanish stock exchange," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(9), pages 923-938, September.
    10. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    11. N/A, 2004. "Index for 2004," European Union Politics, , vol. 5(4), pages 511-512, December.
    12. Lux, Thomas & Kaizoji, Taisei, 2004. "Forecasting volatility and volume in the Tokyo stock market: The advantage of long memory models," Economics Working Papers 2004-05, Christian-Albrechts-University of Kiel, Department of Economics.
    13. Maniar, Hiren M. & Bhatt, Rajesh & Maniyar, Dharmesh M., 2009. ""Expiration hour effect of futures and options markets on stock market" -- A case study on NSE (National Stock Exchange of India)," International Review of Economics & Finance, Elsevier, vol. 18(3), pages 381-391, June.
    14. Sumon Bhaumik & Suchismita Bose, 2007. "Impact of Derivatives Trading on Emerging Capital Markets: A Note on Expiration Day Effects in India," William Davidson Institute Working Papers Series wp863, William Davidson Institute at the University of Michigan.
    15. Chin-Lin Chuang & Dar-Hsin Chen & Chung-Hsien Su, 2008. "Reexamining The Expiration Day Effects Of Stock Index Derivatives: Evidence From Taiwan," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 2(2), pages 85-105.
    16. Eric Zivot, 2008. "Practical Issues in the Analysis of Univariate GARCH Models," Working Papers UWEC-2008-03-FC, University of Washington, Department of Economics.
    17. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    18. Donald Lien & Li Yang, 2003. "Options expiration effects and the role of individual share futures contracts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(11), pages 1107-1118, November.
    19. P. Corredor & P. Lechón & R. Santamaría, 2001. "Option‐Expiration Effects in Small Markets: The Spanish Stock Exchange," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(10), pages 905-928, October.
    20. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Henryk Gurgul & Milena Suliga, 2020. "Impact of futures expiration on underlying stocks: intraday analysis for Warsaw Stock Exchange," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(3), pages 869-904, September.
    2. Chhabra, Damini & Gupta, Mohit, 2022. "Calendar anomalies in commodity markets for natural resources: Evidence from India," Resources Policy, Elsevier, vol. 79(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rachna Mahalwala, 2022. "Analysing exchange rate volatility in India using GARCH family models," SN Business & Economics, Springer, vol. 2(9), pages 1-16, September.
    2. Subrata ROY, 2021. "Volatility Forecasting, Market Efficiency and Effect of Recession of SRI Indices," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(627), S), pages 259-284, Summer.
    3. Karime Sleiman & Sayilir Özlem, 2019. "Political news and stock market reactions: evidence from Turkey over the period 2008–2017," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 55(2), pages 83-98, June.
    4. Beg, A.B.M. Rabiul Alam & Anwar, Sajid, 2012. "Sources of volatility persistence: A case study of the U.K. pound/U.S. dollar exchange rate returns," The North American Journal of Economics and Finance, Elsevier, vol. 23(2), pages 165-184.
    5. David McMillan & Alan Speight, 2003. "Asymmetric volatility dynamics in high frequency FTSE-100 stock index futures," Applied Financial Economics, Taylor & Francis Journals, vol. 13(8), pages 599-607.
    6. Erie Febrian & Aldrin Herwany, 2009. "Volatility Forecasting Models and Market Co-Integration: A Study on South-East Asian Markets," Working Papers in Economics and Development Studies (WoPEDS) 200911, Department of Economics, Padjadjaran University, revised Sep 2009.
    7. Altaf Muhammad & Zhang Shuguang, 2015. "Impact Of Structural Shifts on Variance Persistence in Asymmetric Garch Models: Evidence From Emerging Asian and European Markets," Romanian Statistical Review, Romanian Statistical Review, vol. 63(1), pages 57-70, March.
    8. Gerard H. Kuper & Daan P. van Soest, 2006. "Does Oil Price Uncertainty Affect Energy Use?," The Energy Journal, , vol. 27(1), pages 55-78, January.
    9. Theodore Panagiotidis, 2010. "Market efficiency and the Euro: the case of the Athens stock exchange," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 37(3), pages 237-251, July.
    10. Ender Su & John Bilson, 2011. "Trading asymmetric trend and volatility by leverage trend GARCH in Taiwan stock index," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3891-3905.
    11. Chuong Luong & Nikolai Dokuchaev, 2018. "Forecasting of Realised Volatility with the Random Forests Algorithm," JRFM, MDPI, vol. 11(4), pages 1-15, October.
    12. Sébastien Laurent & Luc Bauwens & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109.
    13. Catania, Leopoldo & Proietti, Tommaso, 2020. "Forecasting volatility with time-varying leverage and volatility of volatility effects," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1301-1317.
    14. Mehmet Sahiner, 2022. "Forecasting volatility in Asian financial markets: evidence from recursive and rolling window methods," SN Business & Economics, Springer, vol. 2(10), pages 1-74, October.
    15. Issler, João Victor, 1999. "Estimating and forecasting the volatility of Brazilian finance series using arch models (Preliminary Version)," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 347, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    16. Turan Bali & Panayiotis Theodossiou, 2007. "A conditional-SGT-VaR approach with alternative GARCH models," Annals of Operations Research, Springer, vol. 151(1), pages 241-267, April.
    17. Jorge Caiado, 2004. "Modelling And Forecasting The Volatility Of The Portuguese Stock Index Psi-20," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 9(1), pages 3-21.
    18. Výrost, Tomáš & Baumöhl, Eduard, 2009. "Asymmetric GARCH and the financial crisis: a preliminary study," MPRA Paper 27939, University Library of Munich, Germany.
    19. Martinez Oscar & Olmo Jose, 2012. "A Nonlinear Threshold Model for the Dependence of Extremes of Stationary Sequences," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(3), pages 1-39, September.
    20. Muhammad Sheraz & Imran Nasir, 2021. "Information-Theoretic Measures and Modeling Stock Market Volatility: A Comparative Approach," Risks, MDPI, vol. 9(5), pages 1-20, May.

    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:sae:metjou:v:15:y:2016:i:1:p:10-19. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: SAGE Publications (email available below). General contact details of provider: .

    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.