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Does the day of the week effect exist once transaction costs have been accounted for? Evidence from the UK

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Author Info

  • A. Gregoriou
  • A. Kontonikas
  • N. Tsitsianis

Abstract

This article investigates the day of the week anomaly in the FTSE 100 Share Index over an 11-year time period from 1 January 1986 to 31 December 1997. Its focus is to assess whether the day of the week effect continues to persist once transactions costs are considered. Unlike previous literature it uses the bid-ask spread as a proxy for transactions costs. It finds that once returns become robust to transactions costs the anomaly appears to fade away. It then extends the research by looking at the time-varying volatility of stock returns with use of a GARCH model. The GARCH results further support the fact that transaction costs appear to die away the day of the week anomaly in the UK Stock market.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Financial Economics.

Volume (Year): 14 (2004)
Issue (Month): 3 ()
Pages: 215-220

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Handle: RePEc:taf:apfiec:v:14:y:2004:i:3:p:215-220

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References

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  1. Zainudin Arsad & J. Andrew Coutts, 1997. "Security price anomalies in the London International Stock Exchange: a 60 year perspective," Applied Financial Economics, Taylor & Francis Journals, vol. 7(5), pages 455-464.
  2. Keim, Donald B & Stambaugh, Robert F, 1984. " A Further Investigation of the Weekend Effect in Stock Returns," Journal of Finance, American Finance Association, vol. 39(3), pages 819-35, July.
  3. Thaler, Richard H, 1987. "Seasonal Movements in Security Prices II: Weekend, Holiday, Turn of the Month, and Intraday Effects," Journal of Economic Perspectives, American Economic Association, vol. 1(2), pages 169-77, Fall.
  4. Lakonishok, Josef & Levi, Maurice, 1982. " Weekend Effects on Stock Returns: A Note," Journal of Finance, American Finance Association, vol. 37(3), pages 883-89, June.
  5. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
  6. Rogalski, Richard J, 1984. " A Further Investigation of the Weekend Effect in Stock Returns," Journal of Finance, American Finance Association, vol. 39(3), pages 835-37, July.
  7. 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.
  8. Aggarwal, Raj & Rao, Ramesh P & Hiraki, Takato, 1989. "Skewness and Kurtosis in Japanese Equity Returns: Empirical Evidence," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 12(3), pages 253-60, Fall.
  9. Thaler, Richard H, 1987. "The January Effect," Journal of Economic Perspectives, American Economic Association, vol. 1(1), pages 197-201, Summer.
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Cited by:
  1. Mahendra Chandra, 2006. "The day-of-the-week effect in conditional correlation," Review of Quantitative Finance and Accounting, Springer, vol. 27(3), pages 297-310, November.
  2. Lucey, Brian M., 2006. "Investigating the determinants of the Wednesday seasonal in Irish Equities," Research in International Business and Finance, Elsevier, vol. 20(1), pages 62-76, March.
  3. P., Srinivasan & M., Kalaivani, 2013. "Day-of-the-Week Effects in the Indian stock market," MPRA Paper 46805, University Library of Munich, Germany.

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