IDEAS home Printed from https://ideas.repec.org/a/taf/apfiec/v19y2009i11p881-892.html
   My bibliography  Save this article

Calendar anomolies and stock market volatility in selected Arab stock exchanges

Author

Listed:
  • Ahmed Kamaly
  • Eskandar Tooma

Abstract

While seasonal effects for both advanced and emerging markets have been investigated extensively in mean and variance equations, Arab region asset markets have received much less attention. The objective of this article is to fill this gap in the literature by investigating the day-of-the-week effect in 12 major Arab stock markets using Arab Monetary Fund (AMF) daily index returns from May 2002 to December 2005. Our estimation strategy utilizes Autoregressive (AR) and Generalized Autoregressive Conditional Heteroscedastic (GARCH)-type specifications to allow for a time-varying variance. Among the most important results of this article are, first, is one-third of these markets exhibit significant day-of-the-week effect in returns. Second, two-third of these markets exhibit significant day-of-the-week effect on volatility. Third, most of these day-of-the-week effects are focused within the beginning and the end of the trading week. Finally, the existence of a significant risk premium was confirmed in five of the 12 studied markets.

Suggested Citation

  • Ahmed Kamaly & Eskandar Tooma, 2009. "Calendar anomolies and stock market volatility in selected Arab stock exchanges," Applied Financial Economics, Taylor & Francis Journals, vol. 19(11), pages 881-892.
    • Handle: RePEc:taf:apfiec:v:19:y:2009:i:11:p:881-892
    DOI: 10.1080/09603100802359976
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/09603100802359976
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09603100802359976?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Ko & Li, Yuming & Erickson, John, 1997. "A New Look at the Monday Effect," Journal of Finance, American Finance Association, vol. 52(5), pages 2171-2186, December.
    2. Engle, Robert F., 1982. "A general approach to lagrange multiplier model diagnostics," Journal of Econometrics, Elsevier, vol. 20(1), pages 83-104, October.
    3. Wooldridge, Jeffrey M., 1991. "On the application of robust, regression- based diagnostics to models of conditional means and conditional variances," Journal of Econometrics, Elsevier, vol. 47(1), pages 5-46, January.
    4. Bekaert, Geert & Harvey, Campbell R., 1997. "Emerging equity market volatility," Journal of Financial Economics, Elsevier, vol. 43(1), pages 29-77, January.
    5. Ederington, Louis H & Lee, Jae Ha, 1993. "How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-1191, September.
    6. Jeffrey Jaffe & R. Westerfield, "undated". "The Week-End Effect in Common Stock Returns: The International Evidence," Rodney L. White Center for Financial Research Working Papers 3-85, Wharton School Rodney L. White Center for Financial Research.
    7. Jaffe, Jeffrey F & Westerfield, Randolph, 1985. "The Week-End Effect in Common Stock Returns: The International Evidence," Journal of Finance, American Finance Association, vol. 40(2), pages 433-454, June.
    8. Richardson, Matthew P & Smith, Tom, 1994. "A Unified Approach to Testing for Serial Correlation in Stock Returns," The Journal of Business, University of Chicago Press, vol. 67(3), pages 371-399, July.
    9. Hakan Berument & Halil Kiymaz, 2001. "The day of the week effect on stock market volatility," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 25(2), pages 181-193, June.
    10. Philip Hans Franses & Richard Paap, 2000. "Modelling day-of-the-week seasonality in the S&P 500 index," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 483-488.
    11. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    12. Lakonishok, Josef & Levi, Maurice, 1982. "Weekend Effects on Stock Returns: A Note," Journal of Finance, American Finance Association, vol. 37(3), pages 883-889, June.
    13. Jeffrey Jaffe & R. Westerfield, "undated". "The Week-End Effect in Common Stock Returns: The International Evidence," Rodney L. White Center for Financial Research Working Papers 03-85, Wharton School Rodney L. White Center for Financial Research.
    14. LeBaron, B., 1992. "Do Moving Average Trading Rule Results Imply Nonlinearites in Foreign Exchange Markets?," Working papers 9222, Wisconsin Madison - Social Systems.
    15. Harvey, Campbell R & Huang, Roger D, 1991. "Volatility in the Foreign Currency Futures Market," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 543-569.
    16. Solnik, Bruno & Bousquet, Laurence, 1990. "Day-of-the-week effect on the Paris Bourse," Journal of Banking & Finance, Elsevier, vol. 14(2-3), pages 461-468, August.
    17. Hagerud, Gustaf E., 1997. "Modeling Nordic Stock Returns with Asymmetric GARCH models," SSE/EFI Working Paper Series in Economics and Finance 164, Stockholm School of Economics.
    18. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Persistence in Variance, Structural Change, and the GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 225-234, April.
    19. Gibbons, Michael R & Hess, Patrick, 1981. "Day of the Week Effects and Asset Returns," The Journal of Business, University of Chicago Press, vol. 54(4), pages 579-596, October.
    20. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    21. John G. Cross, 1973. "A Stochastic Learning Model of Economic Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(2), pages 239-266.
    22. Engle, Robert F & Gonzalez-Rivera, Gloria, 1991. "Semiparametric ARCH Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(4), pages 345-359, October.
    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. Shahid Raza & Sun Baiqing & Imtiaz Hussain & Pwint Kay-Khine, 2023. "Do good and bad news affect the day of the week effect? An analysis of the KSE-100 Index," SN Business & Economics, Springer, vol. 3(7), pages 1-22, July.
    2. Gonzalez-Perez, Maria T. & Guerrero, David E., 2013. "Day-of-the-week effect on the VIX. A parsimonious representation," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 243-260.
    3. Elena Lidia Melnic, 2016. "New Approaches In The Retail Banking System For Creating Long Term Loyalty Relationships With Customers: Case Study On The Romanian Market," Eurasian Journal of Business and Management, Eurasian Publications, vol. 4(3), pages 49-64.
    4. Sedeaq Nassar, 2016. "The Day of the Week Effect of Stock Returns: Empirical Evidence from Five Selected Arab Countries," Eurasian Journal of Business and Management, Eurasian Publications, vol. 4(2), pages 55-64.

    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. Kiymaz, Halil & Berument, Hakan, 2003. "The day of the week effect on stock market volatility and volume: International evidence," Review of Financial Economics, Elsevier, vol. 12(4), pages 363-380.
    2. Chowdhury, Anup & Uddin, Moshfique & Anderson, Keith, 2022. "Trading behaviour and market sentiment: Firm-level evidence from an emerging Islamic market," Global Finance Journal, Elsevier, vol. 53(C).
    3. H. Kent Baker & Abdul Rahman & Samir Saadi, 2008. "The day‐of‐the‐week effect and conditional volatility: Sensitivity of error distributional assumptions," Review of Financial Economics, John Wiley & Sons, vol. 17(4), pages 280-295, December.
    4. Dumitriu, Ramona & Stefanescu, Razvan, 2013. "DOW effects in returns and in volatility of stock markets during quiet and turbulent times," MPRA Paper 47218, University Library of Munich, Germany, revised 02 Apr 2013.
    5. Halil Kiymaz & Hakan Berument, 2003. "The day of the week effect on stock market volatility and volume: International evidence," Review of Financial Economics, John Wiley & Sons, vol. 12(4), pages 363-380.
    6. Luo, Kevin & Tian, Shuairu, 2020. "The “Black Thursday” effect in Chinese stock market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    7. Swarn Chatterjee & Amy Hubble, 2016. "Day-Of-The-Week Effect In Us Biotechnology Stocks — Do Policy Changes And Economic Cycles Matter?," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 1-17, June.
    8. Gil-Alana, Luis A. & Cunado, Juncal & de Gracia, Fernando Perez, 2013. "Salient features of dependence in daily US stock market indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(15), pages 3198-3212.
    9. Syed Muhammad Majid Shah & Fahad Abdullah, 2015. "A Study of Day of the Week Effect in Karachi Stock Exchange During Different Political Regimes in Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 7(1), pages 41-66, April.
    10. Gallego, Oscar D, 2005. "The Day �of� The� Week Effect in the Colombia Stock Exchange," MPRA Paper 43112, University Library of Munich, Germany.
    11. Shahid Raza & Sun Baiqing & Imtiaz Hussain & Pwint Kay-Khine, 2023. "Do good and bad news affect the day of the week effect? An analysis of the KSE-100 Index," SN Business & Economics, Springer, vol. 3(7), pages 1-22, July.
    12. Leonard Grebe & Dirk Schiereck, 2024. "Day-of-the-week effect: a meta-analysis," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(4), pages 1057-1094, December.
    13. Konstantinos Drakos, 2009. "Cross-Country Stock Market Reactions to Major Terror Events: The Role of Risk Perception," Economics of Security Working Paper Series 16, DIW Berlin, German Institute for Economic Research.
    14. Wang, Xinya & Liu, Huifang & Huang, Shupei, 2019. "Identification of the daily seasonality in gold returns and volatilities: Evidence from Shanghai and London," Resources Policy, Elsevier, vol. 61(C), pages 522-531.
    15. Trabelsi, Mohamed Ali, 2010. "Choix de portefeuille: comparaison des différentes stratégies [Portfolio selection: comparison of different strategies]," MPRA Paper 82946, University Library of Munich, Germany, revised 01 Dec 2010.
    16. Mehmet Dicle & John Levendis, 2014. "The day-of-the-week effect revisited: international evidence," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(3), pages 407-437, July.
    17. Paul Alagidede & Theodore Panagiotidis, 2006. "Calendar Anomalies in an Emerging African Market: Evidence from the Ghana Stock Exchange," Discussion Paper Series 2006_13, Department of Economics, Loughborough University, revised Jun 2006.
    18. Sullivan, Ryan & Timmermann, Allan & White, Halbert, 2001. "Dangers of data mining: The case of calendar effects in stock returns," Journal of Econometrics, Elsevier, vol. 105(1), pages 249-286, November.
    19. Sullivan, Ryan & Timmermann, Allan & White, Halbert, 1998. "The dangers of data-driven inference: the case of calender effects in stock returns," LSE Research Online Documents on Economics 119142, London School of Economics and Political Science, LSE Library.
    20. Vipul Kumar Singh, 2019. "Day-of-the-week effect of major currency pairs: new evidences from investors’ fear gauge," Journal of Asset Management, Palgrave Macmillan, vol. 20(7), pages 493-507, December.

    More about this item

    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:taf:apfiec:v:19:y:2009:i:11:p:881-892. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAFE20 .

    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.