IDEAS home Printed from https://ideas.repec.org/a/taf/quantf/v7y2007i1p1-12.html
   My bibliography  Save this article

Nobel Prize versus no bells and whistles: an assessment of two active portfolio construction techniques

Author

Listed:
  • David Buckle

Abstract

No abstract is available for this item.

Suggested Citation

  • David Buckle, 2007. "Nobel Prize versus no bells and whistles: an assessment of two active portfolio construction techniques," Quantitative Finance, Taylor & Francis Journals, vol. 7(1), pages 1-12.
  • Handle: RePEc:taf:quantf:v:7:y:2007:i:1:p:1-12
    DOI: 10.1080/14697680600919219
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/14697680600919219
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14697680600919219?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. Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," The Journal of Business, University of Chicago Press, vol. 54(4), pages 513-533, October.
    2. Dybvig, Philip H & Ross, Stephen A, 1985. "The Analytics of Performance Measurement Using a Security Market Line," Journal of Finance, American Finance Association, vol. 40(2), pages 401-416, June.
    3. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    4. Dybvig, Philip H & Ross, Stephen A, 1985. "Differential Information and Performance Measurement Using a Security Market Line," Journal of Finance, American Finance Association, vol. 40(2), pages 383-399, June.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    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. Bessler, Wolfgang & Drobetz, Wolfgang & Henn Overbeck, Jacqueline, 2005. "Hedge Funds: Die Königsdisziplin" der Kapitalanlage," Working papers 2005/04, Faculty of Business and Economics - University of Basel.
    2. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    3. Anjum, Sohail & Qayyum, Unbreen & Qureshi, Madeeha Gohar, 2019. "Aggregate performance evaluation of US Equity Mutual Funds - Explaining the performance of Growth Funds vs. Value Funds," MPRA Paper 100043, University Library of Munich, Germany.
    4. Thomas A. Severini, 2015. "A note on the effects of market inefficiency and portfolio constraints on the relationship between the expected return of an asset and the market," Economics and Business Letters, Oviedo University Press, vol. 4(4), pages 175-182.
    5. Peñaranda, Francisco, 2009. "Understanding portfolio efficiency with conditioning information," LSE Research Online Documents on Economics 24415, London School of Economics and Political Science, LSE Library.
    6. Avramov, Doron & Wermers, Russ, 2006. "Investing in mutual funds when returns are predictable," Journal of Financial Economics, Elsevier, vol. 81(2), pages 339-377, August.
    7. Connie Becker & Wayne Ferson & David Myers & Michael Schill, 1998. "Conditional Market Timing with Benchmark Investors," NBER Working Papers 6434, National Bureau of Economic Research, Inc.
    8. Christensen, Michael, 2003. "Evaluating Danish Mutual Fund Performance," Finance Working Papers 03-4, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    9. Sebastian Bunnenberg & Martin Rohleder & Hendrik Scholz & Marco Wilkens, 2019. "Jensen's alpha and the market‐timing puzzle," Review of Financial Economics, John Wiley & Sons, vol. 37(2), pages 234-255, April.
    10. Bowden, Roger J., 2000. "The ordered mean difference as a portfolio performance measure," Journal of Empirical Finance, Elsevier, vol. 7(2), pages 195-223, August.
    11. Newton, David & Platanakis, Emmanouil & Stafylas, Dimitrios & Sutcliffe, Charles & Ye, Xiaoxia, 2021. "Hedge fund strategies, performance &diversification: A portfolio theory & stochastic discount factor approach," The British Accounting Review, Elsevier, vol. 53(5).
    12. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    13. Heber Farnsworth & Wayne E. Ferson & David Jackson & Steven Todd, 2002. "Performance Evaluation with Stochastic Discount Factors," NBER Working Papers 8791, National Bureau of Economic Research, Inc.
    14. Glosten, L. R. & Jagannathan, R., 1994. "A contingent claim approach to performance evaluation," Journal of Empirical Finance, Elsevier, vol. 1(2), pages 133-160, January.
    15. David R. Gallagher, 2001. "Attribution of investment performance: an analysis of Australian pooled superannuation funds," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 41(1‐2), pages 41-62, July.
    16. William Goetzmann & Jonathan Ingersoll & Zoran Ivkovich, 1998. "Monthly Measurement of Daily Timers," Yale School of Management Working Papers ysm88, Yale School of Management, revised 01 Oct 2000.
    17. Shafiqur Rahman & Cheng-Few Lee & Yaqing Xiao, 2017. "The investment performance, attributes, and investment behavior of ethical equity mutual funds in the US: an empirical investigation," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 91-116, July.
    18. Da, Zhi & Guo, Re-Jin & Jagannathan, Ravi, 2012. "CAPM for estimating the cost of equity capital: Interpreting the empirical evidence," Journal of Financial Economics, Elsevier, vol. 103(1), pages 204-220.
    19. Glode, Vincent, 2011. "Why mutual funds "underperform"," Journal of Financial Economics, Elsevier, vol. 99(3), pages 546-559, March.
    20. Keith Pilbeam & Hamish Preston, 2019. "An Empirical Investigation of the Performance of Japanese Mutual Funds: Skill or Luck?," IJFS, MDPI, vol. 7(1), pages 1-16, January.

    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:taf:quantf:v:7:y:2007:i:1:p:1-12. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RQUF20 .

    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.