IDEAS home Printed from https://ideas.repec.org/a/spr/jecfin/v24y2000i1p64-76.html
   My bibliography  Save this article

Tax-free trading on calendar stock and bond market patterns

Author

Listed:
  • William Compton
  • Robert Kunkel

Abstract

This study investigates the feasibility of using individual retirement accounts to exploit well-known calendar anomalies in the financial markets. We find no evidence of either a January effect or a weekend effect which may imply that investors have traded them out of existence. However, we find a significant turn-of-the-month effect in both stocks and bonds and show that investors may be able to enhance the performance of their retirement portfolios. We demonstrate that investors using a turn-of-the-month switching strategy would have outperformed a buy-and-hold strategy in stocks or bonds. Finally, our results have policy implications for investment companies. Copyright Springer 2000

Suggested Citation

  • William Compton & Robert Kunkel, 2000. "Tax-free trading on calendar stock and bond market patterns," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 24(1), pages 64-76, March.
  • Handle: RePEc:spr:jecfin:v:24:y:2000:i:1:p:64-76
    DOI: 10.1007/BF02759696
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02759696
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02759696?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. Compton, William S. & Kunkel, Robert A., 1998. "A Tax-Free Exploitation of the Turn-of-the-Month Effect: C.R.E.F," Financial Services Review, Elsevier, vol. 7(1), pages 11-23.
    2. Rozeff, Michael S. & Kinney, William Jr., 1976. "Capital market seasonality: The case of stock returns," Journal of Financial Economics, Elsevier, vol. 3(4), pages 379-402, October.
    3. Agrawal, Anup & Tandon, Kishore, 1994. "Anomalies or illusions? Evidence from stock markets in eighteen countries," Journal of International Money and Finance, Elsevier, vol. 13(1), pages 83-106, February.
    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 231-243, March.
    5. Edward H. Chow & Ping Hsiao & Michael E. Solt, 1997. "Trading Returns for the Weekend Effect Using Intraday Data," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(3), pages 425-444.
    6. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    7. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    8. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    9. Lakonishok, Josef & Smidt, Seymour, 1984. "Volume and turn-of-the-year behavior," Journal of Financial Economics, Elsevier, vol. 13(3), pages 435-455, September.
    10. Ogden, Joseph P, 1990. "Turn-of-Month Evaluations of Liquid Profits and Stock Returns: A Common Explanation for the Monthly and January Effects," Journal of Finance, American Finance Association, vol. 45(4), pages 1259-1272, September.
    11. Ritter, Jay R & Chopra, Navin, 1989. " Portfolio Rebalancing and the Turn-of-the-Year Effect," Journal of Finance, American Finance Association, vol. 44(1), pages 149-166, March.
    12. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
    13. Cadsby, Charles Bram & Ratner, Mitchell, 1992. "Turn-of-month and pre-holiday effects on stock returns: Some international evidence," Journal of Banking & Finance, Elsevier, vol. 16(3), pages 497-509, June.
    14. Savin, N Eugene & White, Kenneth J, 1977. "The Durbin-Watson Test for Serial Correlation with Extreme Sample Sizes or Many Regressors," Econometrica, Econometric Society, vol. 45(8), pages 1989-1996, November.
    15. Reinganum, Marc R., 1983. "The anomalous stock market behavior of small firms in January : Empirical tests for tax-loss selling effects," Journal of Financial Economics, Elsevier, vol. 12(1), pages 89-104, June.
    16. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    17. Penman, Stephen H., 1987. "The distribution of earnings news over time and seasonalities in aggregate stock returns," Journal of Financial Economics, Elsevier, vol. 18(2), pages 199-228, June.
    18. James A. Ligon, 1997. "A Simultaneous Test Of Competing Theories Regarding The January Effect," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(1), pages 13-32, 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. Nippani, Srinivas & Arize, Augustine C., 2008. "U.S. corporate bond returns: A study of market anomalies based on broad industry groups," Review of Financial Economics, Elsevier, vol. 17(3), pages 157-171, August.
    2. Denis Boudreaux & Spuma Rao & Phillip Fuller, 2010. "An investigation of the weekend effect during different market orientations," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 34(3), pages 257-268, July.
    3. Anthony Gu, 2004. "The Reversing Weekend Effect: Evidence from the U.S. Equity Markets," Review of Quantitative Finance and Accounting, Springer, vol. 22(1), pages 5-14, January.

    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. Compton, William S. & Kunkel, Robert A., 1998. "A Tax-Free Exploitation of the Turn-of-the-Month Effect: C.R.E.F," Financial Services Review, Elsevier, vol. 7(1), pages 11-23.
    2. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    3. 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.
    4. Plastun, Alex & Bouri, Elie & Havrylina, Ahniia & Ji, Qiang, 2022. "Calendar anomalies in passion investments: Price patterns and profit opportunities," Research in International Business and Finance, Elsevier, vol. 61(C).
    5. Stefanescu, Răzvan & Dumitriu, Ramona, 2020. "Efectul Turn-of-the-Year pe piaţa valutară din România [The Turn-of-the-Year Effect in the Romanian foreign exchange market]," MPRA Paper 99365, University Library of Munich, Germany, revised 30 Mar 2020.
    6. 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.
    7. Lee, Yu Kyung & Kim, Ryumi, 2022. "The turn-of-the-month effect and trading of types of investors," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    8. Stefanescu, Răzvan & Dumitriu, Ramona, 2020. "Introducere în analiza anomaliilor calendaristice, Partea a doua [An Introduction to the Analysis of the Calendar Anomalies, Part 2]," MPRA Paper 97961, University Library of Munich, Germany.
    9. Abdul Rashid & Saba Kausar, 2019. "Testing the Monthly Calendar Anomaly of Stock Returns in Pakistan: A Stochastic Dominance Approach," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 58(1), pages 83-104.
    10. Khalil Jebran & Shihua Chen, 2017. "Examining anomalies in Islamic equity market of Pakistan," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 7(3), pages 275-289, July.
    11. 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).
    12. Mark Griffiths & Drew Winters, 1997. "On a Preferred Habitat for Liquidity at the Turn-of-the-Year: Evidence from the Term-Repo Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 12(1), pages 21-38, August.
    13. 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.
    14. Satish K. Mittal & Sonal Jain, 2009. "Stock Market Behaviour: Evidences from Indian Market," Vision, , vol. 13(3), pages 19-29, July.
    15. Kohers, Theodor & Patel, Jayen B., 1996. "An examination of the day-of-the-week effect in junk bond returns over business cycles," Review of Financial Economics, Elsevier, vol. 5(1), pages 31-46.
    16. Sun, Qian & Tong, Wilson H.S., 2010. "Risk and the January effect," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 965-974, May.
    17. Fatta Bahadur K.C. Ph. D. & Nayan Krishna Joshi, 2005. "The Nepalese Stock Market: Efficient and Calendar Anomalies," NRB Economic Review, Nepal Rastra Bank, Research Department, vol. 17, pages 40-85, April.
    18. Li, Kun & Cursio, Joseph D. & Jiang, Mengfei & Liang, Xi, 2019. "The significance of calendar effects in the electricity market," Applied Energy, Elsevier, vol. 235(C), pages 487-494.
    19. Restocchi, Valerio & McGroarty, Frank & Gerding, Enrico, 2019. "Statistical properties of volume and calendar effects in prediction markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1150-1160.
    20. Jonathan Wiley & Leonard Zumpano, 2009. "Institutional Investment and the Turn-of-the-Month Effect: Evidence from REITs," The Journal of Real Estate Finance and Economics, Springer, vol. 39(2), pages 180-201, August.

    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:spr:jecfin:v:24:y:2000:i:1:p:64-76. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.