IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

Firm heterogeneity and calendar anomalies

  • Susan Sunila Sharma


  • Paresh Kumar Narayan


While the calendar anomalies and financial market relationship is one of the oldest relationships in financial economics, we treat this relationship differently by addressing two unknown issues: (a) do calendar anomalies have a heterogeneous effect on firm returns and firm volatility depending on the sectoral location of firms? and (b) do calendar anomalies affect firm returns and firm volatility differently depending on firm size? Unlike the assumption in this literature that firms are homogeneous, we show that they are in fact heterogeneous. Using 560 firms listed on the NYSE over the period 05 January 2000 to 31 December 2008, we find fresh results, previously undocumented in this literature. We find evidence of calendar anomalies affecting returns and return volatility of firms differently depending on their sectoral locations and size.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Our checks indicate that this address may not be valid because: 404 Not Found. If this is indeed the case, please notify (Dr Susan S Sharma)

Download Restriction: no

Paper provided by Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance in its series Financial Econometics Series with number 2011_12.

in new window

Length: 51
Date of creation: 29 Aug 2011
Date of revision:
Handle: RePEc:dkn:ecomet:fe_2011_12
Contact details of provider: Postal: 221 Burwood Highway, Burwood 3125
Phone: 61 3 9244 3815
Web page:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Pennings, Joost M. E. & Garcia, Philip, 2004. "Hedging behavior in small and medium-sized enterprises: The role of unobserved heterogeneity," Journal of Banking & Finance, Elsevier, vol. 28(5), pages 951-978, May.
  2. 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.
  3. Hanson, Samuel G. & Pesaran, M. Hashem & Schuermann, Til, 2008. "Firm heterogeneity and credit risk diversification," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 583-612, September.
  4. Lakonishok, Josef & Maberly, Edwin, 1990. " The Weekend Effect: Trading Patterns of Individual and Institutional Investors," Journal of Finance, American Finance Association, vol. 45(1), pages 231-43, March.
  5. Schwert, G William, 1989. " Why Does Stock Market Volatility Change over Time?," Journal of Finance, American Finance Association, vol. 44(5), pages 1115-53, December.
  6. John Y. Campbell & Ludger Hentschel, 1991. "No News is Good News: An Asymmetric Model of Changing Volatility in Stock Returns," NBER Working Papers 3742, National Bureau of Economic Research, Inc.
  7. Kamara, Avraham, 1997. "New Evidence on the Monday Seasonal in Stock Returns," The Journal of Business, University of Chicago Press, vol. 70(1), pages 63-84, January.
  8. 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.
  9. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
  10. 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.
  11. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
  12. Beltratti, Andrea, 2005. "Capital market equilibrium with externalities, production and heterogeneous agents," Journal of Banking & Finance, Elsevier, vol. 29(12), pages 3061-3073, December.
  13. Jain, Prem C. & Joh, Gun-Ho, 1988. "The Dependence between Hourly Prices and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(03), pages 269-283, September.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:dkn:ecomet:fe_2011_12. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dr Susan S Sharma)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.