IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-08g00001.html
   My bibliography  Save this article

Day-of-the-week effects in Selected East Asian stock markets

Author

Listed:
  • Venus Khim-Sen Liew

    (Labuan School of International Business and Finance, Universiti Malaysia Sabah)

  • Ricky Chee-Jiun Chia

    (Labuan School of International Business and Finance, Universiti Malaysia Sabah)

  • Syed Azizi Wafa Syed Khalid Wafa

    (Labuan School of International Business and Finance, Universiti Malaysia Sabah)

Abstract

This study examines the day-of-the-week effects in the Taiwan, Singapore, Hong Kong and South Korea stock markets. Various significant day-of-the-week effects, including the typical negative Monday and positive Friday effects are detected in the stock markets Taiwan, Singapore and Hong Kong. Further analysis shows that only Friday effect in Taiwan is sustainable while all other effects disappeared completely after accounting for equity risks. Besides, this study also finds evidences of risk and return tradeoff as well as asymmetrical market effects.

Suggested Citation

  • Venus Khim-Sen Liew & Ricky Chee-Jiun Chia & Syed Azizi Wafa Syed Khalid Wafa, 2008. "Day-of-the-week effects in Selected East Asian stock markets," Economics Bulletin, AccessEcon, vol. 7(5), pages 1-8.
  • Handle: RePEc:ebl:ecbull:eb-08g00001
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/pubs/EB/2008/Volume7/EB-08G00001A.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Chris Brooks & Gita Persand, 2001. "Seasonality in Southeast Asian stock markets: some new evidence on day-of-the-week effects," Applied Economics Letters, Taylor & Francis Journals, vol. 8(3), pages 155-158.
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. Taufiq Choudhry, 2000. "Day of the week effect in emerging Asian stock markets: evidence from the GARCH model," Applied Financial Economics, Taylor & Francis Journals, vol. 10(3), pages 235-242.
    4. Syed Basher & Perry Sadorsky, 2006. "Day-of-the-week effects in emerging stock markets," Applied Economics Letters, Taylor & Francis Journals, vol. 13(10), pages 621-628.
    5. Brian Lucey, 2000. "Anomalous daily seasonality in Ireland?," Applied Economics Letters, Taylor & Francis Journals, vol. 7(10), pages 637-640.
    6. 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.
    7. Ercan Balaban & Asli Bayar & Ozgur Berk Kan, 2001. "Stock returns, seasonality and asymmetric conditional volatility in world equity markets," Applied Economics Letters, Taylor & Francis Journals, vol. 8(4), pages 263-268.
    8. Robert Engle, 2001. "GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 157-168, Fall.
    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. Anwar, Yunita & Mulyadi, Martin Surya, 2009. "The day of the week effects in Indonesia, Singapore, and Malaysia stock market," MPRA Paper 16873, University Library of Munich, Germany.
    2. Chia Ricky Chee-Jiun & Lim Shiok Ye, 2011. "Stock Market Anomalies in South Africa and its Neighbouring Countries," Economics Bulletin, AccessEcon, vol. 31(4), pages 3123-3137.
    3. Balaban, Ercan & Ozgen, Tolga & Karidis, Socrates, 2018. "Intraday and interday distribution of stock returns and their asymmetric conditional volatility: Firm-level evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 905-915.
    4. Roberto Joaquín Santillán Salgado & Alejandro Fonseca Ramírez & Luis Nelson Romero, 2019. "The "day-of-the-week" effects in the exchange rate of Latin American currencies," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(PNEA), pages 485-507, Agosto 20.
    5. 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).
    6. Kemal Eyuboglu & Sinem Eyuboglu & Rahmi Yamak, 2016. "Predicting Intra-Day and Day of the Week Anomalies in Turkish Stock Market," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 18(59), pages 73-94, March.

    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. Balaban, Ercan & Ozgen, Tolga & Karidis, Socrates, 2018. "Intraday and interday distribution of stock returns and their asymmetric conditional volatility: Firm-level evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 905-915.
    2. repec:ebl:ecbull:v:7:y:2008:i:5:p:1-8 is not listed on IDEAS
    3. 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).
    4. Chia, Ricky Chee-Jiun & Liew, Venus Khim-Sen & Syed Khalid Wafa, Syed Azizi Wafa, 2006. "Calendar anomalies in the Malaysian stock market," MPRA Paper 516, University Library of Munich, Germany.
    5. Roberto Joaquín Santillán Salgado & Alejandro Fonseca Ramírez & Luis Nelson Romero, 2019. "The "day-of-the-week" effects in the exchange rate of Latin American currencies," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(PNEA), pages 485-507, Agosto 20.
    6. Balaban, Ercan & Ozgen, Tolga, 2016. "Trading session effects on stock returns and their conditional volatility: Firm-level evidence from a European Union accession country," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 446(C), pages 264-271.
    7. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    8. Willy Alanya & Gabriel Rodríguez, 2018. "Stochastic Volatility in the Peruvian Stock Market and Exchange Rate Returns: A Bayesian Approximation," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(3), pages 354-385, December.
    9. Allen, David E. & McAleer, Michael & Powell, Robert J. & Singh, Abhay K., 2017. "Volatility Spillovers from Australia's major trading partners across the GFC," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 159-175.
    10. Bucevska Vesna, 2013. "An Empirical Evaluation of GARCH Models in Value-at-Risk Estimation: Evidence from the Macedonian Stock Exchange," Business Systems Research, Sciendo, vol. 4(1), pages 49-64, March.
    11. Ndako, Umar Bida, 2013. "The Day of the Week effect on stock market returns and volatility: Evidence from Nigeria and South Africa," MPRA Paper 48076, University Library of Munich, Germany.
    12. Carl H. Korkpoe & Peterson Owusu Junior, 2018. "Behaviour of Johannesburg Stock Exchange All Share Index Returns - An Asymmetric GARCH and News Impact Effects Approach," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 68(1), pages 26-42, January-M.
    13. Iorember, Paul & Sokpo, Joseph & Usar, Terzungwe, 2017. "Inflation and Stock Market Returns Volatility: Evidence from the Nigerian Stock Exchange 1995Q1-2016Q4: An E-GARCH Approach," MPRA Paper 85656, University Library of Munich, Germany.
    14. 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.
    15. Naseem Al Rahahleh & Robert Kao, 2018. "Forecasting Volatility: Evidence from the Saudi Stock Market," JRFM, MDPI, vol. 11(4), pages 1-18, November.
    16. Pavlidis Efthymios G & Paya Ivan & Peel David A, 2010. "Specifying Smooth Transition Regression Models in the Presence of Conditional Heteroskedasticity of Unknown Form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-40, May.
    17. Horváth, Roman & Šopov, Boril, 2016. "GARCH models, tail indexes and error distributions: An empirical investigation," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 1-15.
    18. Allen, David E. & Amram, Ron & McAleer, Michael, 2013. "Volatility spillovers from the Chinese stock market to economic neighbours," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 238-257.
    19. Liu, Heping & Erdem, Ergin & Shi, Jing, 2011. "Comprehensive evaluation of ARMA-GARCH(-M) approaches for modeling the mean and volatility of wind speed," Applied Energy, Elsevier, vol. 88(3), pages 724-732, March.
    20. Osabuohien-Irabor Osarumwense, 2015. "Day-of-the-week effect in the Nigerian Stock Market Returns and Volatility: Does the Distributional Assumptions Influence Disappearance?," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2015(4), pages 33-44.
    21. Paul Alagidede & Theodore Panagiotidis, 2009. "Calendar Anomalies in the Ghana Stock Exchange," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(1), pages 1-23, April.

    More about this item

    Keywords

    EGARCH mean;

    JEL classification:

    • G0 - Financial Economics - - General

    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:ebl:ecbull:eb-08g00001. 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: John P. Conley (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.