IDEAS home Printed from https://ideas.repec.org/p/ivi/wpasec/2006-05.html
   My bibliography  Save this paper

New Evidence On Expiration-Day Effects Using Realized Volatility: An Intraday Analysis For The Spanish Stock Exchange

Author

Listed:
  • Juan A. Lafuente

    (Universitat Jaume I)

  • Manuel Illueca Muñoz

    (Universitat Jaume I)

Abstract

In this paper we provide additional evidence on expiration effects in the Ibex 35 stock index futures market using realized volatility as proposed in Andersen et al. (2003, Econometrica 71, 529-626). Our findings reveal not only a significant increase in spot trading activity, but also the existence of a significant jump in spot volatility at index futures expiration. Moreover, we analyze the importance of the data frequency considered, revealing that the use of GARCH methodology from daily data does not have the ability to statistically assess such expiration-day effect. Additional empirical evidence is provided for the S&P 500 stock index futures market. Neither unconditional nor conditional realized volatility has a significant increase at expiration for the US market, suggesting that this effect is specific for the Spanish market, at least for the period analyzed. Este artículo proporciona nueva evidencia empírica sobre el efecto del vencimiento de los contratos de futuros sobre el índice IBEX 35, utilizando la medida de volatilidad realizada propuesta en Andersen et al. (2003, Econometrica 71, 529-626). Nuestros resultados ponen de manifiesto que al vencimiento de los contratos de futuros se produce no sólo un incremento en el volumen negociado en el mercado de contado, sino también un incremento significativo de la volatilidad del activo subyacente. Además, el trabajo pone de manifiesto la importancia de contar con información intradía para llevar a cabo el análisis empírico. De hecho, el uso de la metodología GARCH a partir de datos diarios no permite apreciar las anomalías que se producen en el mercado de contado cuando vencen los contratos de futuros. También se proporciona evidencia empírica relativa al mercado de futuros sobre el índice S&P 500. En este caso, ni la volatilidad condicionada ni la volatilidad no condicionada aumentan significativamente en los días de vencimiento de los contratos de futuros, sugiriendo que la evidencia reportada en este trabajo constituye una característica específica del mercado español, al menos durante el periodo analizado.

Suggested Citation

  • Juan A. Lafuente & Manuel Illueca Muñoz, 2006. "New Evidence On Expiration-Day Effects Using Realized Volatility: An Intraday Analysis For The Spanish Stock Exchange," Working Papers. Serie EC 2006-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  • Handle: RePEc:ivi:wpasec:2006-05
    as

    Download full text from publisher

    File URL: http://www.ivie.es/downloads/docs/wpasec/wpasec-2006-05.pdf
    File Function: Fisrt version / Primera version, 2006
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Vicent Arago & A. Fernandez, 2002. "Expiration and maturity effect: empirical evidence from the Spanish spot and futures stock index," Applied Economics, Taylor & Francis Journals, vol. 34(13), pages 1617-1626.
    2. Tim Bollerslev & Jeffrey M. Wooldridge, 1988. "Quasi-Maximum Likelihood Estimation of Dynamic Models with Time-Varying Covariances," Working papers 505, Massachusetts Institute of Technology (MIT), Department of Economics.
    3. Epps, Thomas W & Epps, Mary Lee, 1976. "The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis," Econometrica, Econometric Society, vol. 44(2), pages 305-321, March.
    4. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Heiko Ebens, 2000. "The Distribution of Stock Return Volatility," NBER Working Papers 7933, National Bureau of Economic Research, Inc.
    5. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    6. Rahman, Shafiqur & Lee, Cheng-few & Ang, Kian Ping, 2002. "Intraday Return Volatility Process: Evidence from NASDAQ Stocks," Review of Quantitative Finance and Accounting, Springer, vol. 19(2), pages 155-180, September.
    7. M. Illueca & J. A. Lafuente, 2003. "The effect of spot and futures trading on stock index market volatility: A nonparametric approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(9), pages 841-858, September.
    8. Hans R. Stoll & Robert E. Whaley, 1997. "Expiration†Day Effects of the All Ordinaries Share Price Index Futures: Empirical Evidence and Alternative Settlement Procedures," Australian Journal of Management, Australian School of Business, vol. 22(2), pages 139-174, December.
    9. Fung, Hung-Gay & Patterson, Gary A., 1999. "The dynamic relationship of volatility, volume, and market depth in currency futures markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(1), pages 33-59, January.
    10. Stoll, Hans R & Whaley, Robert E, 1990. "Program Trading and Individual Stock Returns: Ingredients of the Triple-Witching Brew," The Journal of Business, University of Chicago Press, vol. 63(1), pages 165-192, January.
    11. Connolly, Robert A., 1989. "An Examination of the Robustness of the Weekend Effect," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(2), pages 133-169, June.
    12. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    13. Suominen, Matti, 2001. "Trading Volume and Information Revelation in Stock Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 545-565, December.
    14. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-229, March.
    15. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003. "Modeling and Forecasting Realized Volatility," Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
    16. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    17. Harris, Lawrence, 1989. " S&P 500 Cash Stock Price Volatilities," Journal of Finance, American Finance Association, vol. 44(5), pages 1155-1175, December.
    18. Copeland, Thomas E, 1976. "A Model of Asset Trading under the Assumption of Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 31(4), pages 1149-1168, September.
    19. Andersen, Torben G, 1996. "Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility," Journal of Finance, American Finance Association, vol. 51(1), pages 169-204, March.
    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. 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.
    2. 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.
    3. 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.
    4. Milena Suliga, 2017. "Price reversal as potential expiration day effect of stock and index futures: evidence from Warsaw Stock Exchange," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 18(2), pages 201-225.
    5. Julien Chevallier & Benoît Sévi, 2011. "On the realized volatility of the ECX CO 2 emissions 2008 futures contract: distribution, dynamics and forecasting," Annals of Finance, Springer, vol. 7(1), pages 1-29, February.
    6. Vortelinos, Dimitrios I. & Lakshmi, Geeta, 2015. "Market risk of BRIC Eurobonds in the financial crisis period," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 295-310.
    7. Matthew Clifton, 2010. "Liquidity and Efficiency During Unusual Market Conditions: An Analysis of Short Selling Restrictions and Expiration-Day Procedures on the London Stock Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 14, July-Dece.
    8. Emily Lin & Carl R. Chen, 2019. "Settlement procedures and stock market efficiency," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(2), pages 164-185, February.
    9. Julien Chevallier & Benoît Sévi, 2009. "On the realized volatility of the ECX CO2 emissions 2008 futures contract: distribution, dynamics and forecasting," Working Papers hal-04140871, HAL.
    10. repec:dau:papers:123456789/4598 is not listed on IDEAS
    11. Ané, Thierry & Métais, Carole, 2009. "The distribution of realized variances: Marginal behaviors, asymmetric dependence and contagion effects," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 134-150, June.

    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. Ai-ru (Meg) Cheng & Yin-Wong Cheung, 2008. "Return, Trading Volume, and Market Depth in Currency Futures Markets," Working Papers 202008, Hong Kong Institute for Monetary Research.
    2. Do, Hung Xuan & Brooks, Robert & Treepongkaruna, Sirimon & Wu, Eliza, 2014. "How does trading volume affect financial return distributions?," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 190-206.
    3. Loredana Ureche-Rangau & Quiterie de Rorthays, 2009. "More on the volatility-trading volume relationship in emerging markets: The Chinese stock market," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 779-799.
    4. Slim, Skander & Dahmene, Meriam, 2016. "Asymmetric information, volatility components and the volume–volatility relationship for the CAC40 stocks," Global Finance Journal, Elsevier, vol. 29(C), pages 70-84.
    5. Rzayev, Khaladdin & Ibikunle, Gbenga, 2019. "A state-space modeling of the information content of trading volume," Journal of Financial Markets, Elsevier, vol. 46(C).
    6. Chia-Hao Lee & Pei-I Chou, 2012. "Trading Activity and Financial Market Integration," The Financial Review, Eastern Finance Association, vol. 47(3), pages 589-616, August.
    7. Ahadzie, Richard Mawulawoe & Jeyasreedharan, Nagaratnam, 2020. "Trading volume and realized higher-order moments in the Australian stock market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    8. Henryk Gurgul & Roland Mestel & Tomasz Wojtowicz, 2007. "Distribution of volume on the American stock market," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 1, pages 143-163.
    9. Taylor, Nicholas, 2008. "Can idiosyncratic volatility help forecast stock market volatility?," International Journal of Forecasting, Elsevier, vol. 24(3), pages 462-479.
    10. Park, Beum-Jo, 2010. "Surprising information, the MDH, and the relationship between volatility and trading volume," Journal of Financial Markets, Elsevier, vol. 13(3), pages 344-366, August.
    11. Kalev, Petko S. & Liu, Wai-Man & Pham, Peter K. & Jarnecic, Elvis, 2004. "Public information arrival and volatility of intraday stock returns," Journal of Banking & Finance, Elsevier, vol. 28(6), pages 1441-1467, June.
    12. Kumar, Brajesh & Singh, Priyanka & Pandey, Ajay, 2009. "The Dynamic Relationship between Price and Trading Volume:Evidence from Indian Stock Market," IIMA Working Papers WP2009-12-04, Indian Institute of Management Ahmedabad, Research and Publication Department.
    13. Go, You-How & Lau, Wee-Yeap, 2020. "The impact of global financial crisis on informational efficiency: Evidence from price-volume relation in crude palm oil futures market," Journal of Commodity Markets, Elsevier, vol. 17(C).
    14. Brajesh Kumar, 2010. "The Dynamic Relationship between Price and Trading Volume: Evidence from Indian Stock Market," Working Papers id:2379, eSocialSciences.
    15. Yamani, Ehab, 2023. "Return–volume nexus in financial markets: A survey of research," Research in International Business and Finance, Elsevier, vol. 65(C).
    16. Michelle B Graczyk & Sílvio M Duarte Queirós, 2017. "Intraday seasonalities and nonstationarity of trading volume in financial markets: Collective features," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-23, July.
    17. Abhinava Tripathi, 2021. "The Arrival of Information and Price Adjustment Across Extreme Quantiles: Global Evidence," IIM Kozhikode Society & Management Review, , vol. 10(1), pages 7-19, January.
    18. Alizadeh, Amir H. & Tamvakis, Michael, 2016. "Market conditions, trader types and price–volume relation in energy futures markets," Energy Economics, Elsevier, vol. 56(C), pages 134-149.
    19. David McMillan & Alan Speight, 2002. "Return-volume dynamics in UK futures," Applied Financial Economics, Taylor & Francis Journals, vol. 12(10), pages 707-713.
    20. Farag, Hisham & Cressy, Robert, 2011. "Do regulatory policies affect the flow of information in emerging markets?," Research in International Business and Finance, Elsevier, vol. 25(3), pages 238-254, September.

    More about this item

    Keywords

    Mercados de futuros; Volatilidad realizada; Desestabilización del mercado de contado Futures Markets; Realized volatility; spot market destabilization;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G19 - Financial Economics - - General Financial Markets - - - Other
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:ivi:wpasec:2006-05. 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: Departamento de Edición (email available below). General contact details of provider: https://edirc.repec.org/data/ievages.html .

    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.