IDEAS home Printed from https://ideas.repec.org/a/pal/assmgt/v10y2009i5d10.1057_jam.2009.16.html
   My bibliography  Save this article

Investment performance and holding periods: An investigation of the major UK asset classes

Author

Listed:
  • Lakshman Alles

    (School of Economics and Finance, Curtin University of Technology)

  • Louis Murray

Abstract

The objective of this article is to offer further investigation of the practice of investors to concentrate their investments in cash or bonds as they grow older, and their investment horizons decrease. To provide evidence in this regard, we assess the impact of investment horizon by computing returns, risks and end-of-period wealth distributions of the major UK asset classes, over increasing time horizons. We use monthly observations between 1963 and 2005, and our assessment is based on a block bootstrapping technique. This methodology offers an improvement on previous studies, as it facilitates the retention of past time series patterns of returns. It is likely that these patterns will continue into the future. Results show that investment outcomes at short horizons are different to outcomes at longer horizons. Evidence is provided in favour of time diversification, up to a 5-year horizon. Further, we find that the probability of ending with a shortfall in end-of-period wealth decreases as the holding period lengthens. We also find that higher risk asset classes outperform lower risk asset classes and have higher end-of-period wealth for longer holding periods.

Suggested Citation

  • Lakshman Alles & Louis Murray, 2009. "Investment performance and holding periods: An investigation of the major UK asset classes," Journal of Asset Management, Palgrave Macmillan, vol. 10(5), pages 280-292, December.
  • Handle: RePEc:pal:assmgt:v:10:y:2009:i:5:d:10.1057_jam.2009.16
    DOI: 10.1057/jam.2009.16
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/jam.2009.16
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/jam.2009.16?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. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    2. Norman Strong & Nicholas Taylor, 2001. "Time Diversification: Empirical Tests," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(3‐4), pages 263-302, April.
    3. Norman Strong & Nicholas Taylor, 2001. "Time Diversification: Empirical Tests," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(3‐4), pages 263-302, April.
    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. Annika Hegemann & Angela Kunoth & Kristina Rupp & Caren Sureth-Sloane, 2017. "Hold or sell? How capital gains taxation affects holding decisions," Review of Managerial Science, Springer, vol. 11(3), pages 571-603, July.
    2. Jia Wang, 2011. "Impact of investment horizon on the performance of value versus growth styles and style allocation," Journal of Asset Management, Palgrave Macmillan, vol. 12(6), pages 438-446, December.

    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. Summers, Barbara & Duxbury, Darren & Hudson, Robert & Keasey, Kevin, 2006. "As time goes by: An investigation of how asset allocation varies with investor age," Economics Letters, Elsevier, vol. 91(2), pages 210-214, May.
    2. Ken Johnston & John Hatem & Elton Scott, 2013. "A note on the evaluation of long-run investment decisions using the sharpe ratio," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(1), pages 150-157, January.
    3. Ibarra, Raul, 2013. "A spatial dominance approach to evaluate the performance of stocks and bonds: Does the investment horizon matter?," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(4), pages 429-439.
    4. Kalayci, Erkan & Basdas, Ulkem, 2010. "Does the prospect theory also hold for power traders? Empirical evidence from a Swiss energy company," Review of Financial Economics, Elsevier, vol. 19(1), pages 38-45, January.
    5. Loh, Lixia, 2013. "Co-movement of Asia-Pacific with European and US stock market returns: A cross-time-frequency analysis," Research in International Business and Finance, Elsevier, vol. 29(C), pages 1-13.
    6. Erkan Kalayci & Ulkem Basdas, 2010. "Does the prospect theory also hold for power traders? Empirical evidence from a Swiss energy company," Review of Financial Economics, John Wiley & Sons, vol. 19(1), pages 38-45, January.
    7. İşcanoğlu-Çekiç, Ayşegül & Gülteki̇n, Havva, 2019. "Are cross-correlations between Turkish Stock Exchange and three major country indices multifractal or monofractal?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 978-990.
    8. Chun, Young H. & Plante, Robert D. & Schneider, Helmut, 2002. "Buying and selling an asset over the finite time horizon: A non-parametric approach," European Journal of Operational Research, Elsevier, vol. 136(1), pages 106-120, January.
    9. Dominique Guégan & Marius Cristian Frunza, 2018. "Is the Bitcoin Rush Over?," Documents de travail du Centre d'Economie de la Sorbonne 18014, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    10. Zhuo Qiao & Keith Lam, 2011. "Granger causal relations among Greater China stock markets: a nonlinear perspective," Applied Financial Economics, Taylor & Francis Journals, vol. 21(19), pages 1437-1450.
    11. Ya-Wen Lai, 2023. "Impact of futures’ trader types on stock market quality: evidence from Taiwan," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 417-436, June.
    12. Yoon, Byung-Sam & Brorsen, B. Wade, 2005. "Can Multiyear Rollover Hedging Increase Mean Returns?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 37(1), pages 65-78, April.
    13. Shyh-Wei Chen, 2008. "Non-stationarity and Non-linearity in Stock Prices: Evidence from the OECD Countries," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-11.
    14. Alagidede, Paul & Panagiotidis, Theodore, 2009. "Modelling stock returns in Africa's emerging equity markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 1-11, March.
    15. Choi, Gahyun & Park, Kwangyeol & Yi, Eojin & Ahn, Kwangwon, 2023. "Price fairness: Clean energy stocks and the overall market," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    16. repec:wyi:journl:002087 is not listed on IDEAS
    17. Dhanya Jothimani & Ravi Shankar & Surendra S. Yadav, 2016. "Discrete Wavelet Transform-Based Prediction of Stock Index: A Study on National Stock Exchange Fifty Index," Papers 1605.07278, arXiv.org.
    18. Neely, Christopher J. & Weller, Paul, 2000. "Predictability in International Asset Returns: A Reexamination," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(4), pages 601-620, December.
    19. Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
    20. Tobias J. Moskowitz & Mark Grinblatt, 2002. "What Do We Really Know About the Cross-Sectional Relation Between Past and Expected Returns?," Yale School of Management Working Papers ysm259, Yale School of Management.
    21. João A. Bastos & Jorge Caiado, 2014. "Clustering financial time series with variance ratio statistics," Quantitative Finance, Taylor & Francis Journals, vol. 14(12), pages 2121-2133, December.

    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:pal:assmgt:v:10:y:2009:i:5:d:10.1057_jam.2009.16. 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.palgrave-journals.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.