IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v145y2006i1p183-20010.1007-s10479-006-0030-y.html
   My bibliography  Save this article

Evaluation of Commodity Trading Advisors using fixed and variable and benchmark models

Author

Listed:
  • Greg Gregoriou
  • Yao Chen

Abstract

This paper examines the performance of Commodity Trading Advisors (CTAs) using fixed and variable benchmarking models. In order to avoid the troublesome passive and active commodity and managed futures benchmarks (indices) when examining the performance of CTAs, we innovate by using data envelopment analysis (DEA). Because this alternative class has non-linear returns due to long/short positions, and derivatives (i.e., dynamic trading strategies), DEA can alleviate the problems usually associated with these indices. The effectiveness of using benchmarking models in a DEA setting will provide investors with an alternative technique in assessing the performance and identifying efficient CTAs. Copyright Springer Science+Business Media, LLC 2006

Suggested Citation

  • Greg Gregoriou & Yao Chen, 2006. "Evaluation of Commodity Trading Advisors using fixed and variable and benchmark models," Annals of Operations Research, Springer, vol. 145(1), pages 183-200, July.
    • Handle: RePEc:spr:annopr:v:145:y:2006:i:1:p:183-200:10.1007/s10479-006-0030-y
    DOI: 10.1007/s10479-006-0030-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-006-0030-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10479-006-0030-y?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. Gregoriou, Greg N. & Sedzro, Komlan & Zhu, Joe, 2005. "Hedge fund performance appraisal using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 164(2), pages 555-571, July.
    2. Thomas Schneeweis & Uttama Savanayana & David McCarthy, 1991. "Alternative commodity trading vehicles: A performance analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(4), pages 475-490, August.
    3. Greg Gregoriou & Fabrice Rouah & Stephen Satchell & Fernando Diz, 2005. "Simple and cross efficiency of CTAs using data envelopment analysis," The European Journal of Finance, Taylor & Francis Journals, vol. 11(5), pages 393-409.
    4. Edwards, F.R. & Ma, C., 1988. "Commodity Pool Performance:Is The Information Contained In Pool Prospectuses Useful?," Papers csfm-166, Columbia - Center for Futures Markets.
    5. Franklin R. Edwards & Cindy Ma, 1988. "Commodity pool performance: Is the information contained in pool prospectuses useful?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 8(5), pages 589-616, October.
    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. Y Ito & S Managi & A Matsuda, 2013. "Performances of socially responsible investment and environmentally friendly funds," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(11), pages 1583-1594, November.
    2. J. Francisco Rubio & Neal Maroney & M. Kabir Hassan, 2018. "Can Efficiency of Returns Be Considered as a Pricing Factor?," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 25-54, June.
    3. Glawischnig, Markus & Sommersguter-Reichmann, Margit, 2010. "Assessing the performance of alternative investments using non-parametric efficiency measurement approaches: Is it convincing?," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 295-303, February.

    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. Tarnaud, Albane Christine & Leleu, Hervé, 2018. "Portfolio analysis with DEA: Prior to choosing a model," Omega, Elsevier, vol. 75(C), pages 57-76.
    2. Greg Gregoriou & Fabrice Rouah & Stephen Satchell & Fernando Diz, 2005. "Simple and cross efficiency of CTAs using data envelopment analysis," The European Journal of Finance, Taylor & Francis Journals, vol. 11(5), pages 393-409.
    3. Scott H. Irwin & Dwight R. Sanders & Aaron Smith & Scott Main, 2020. "Returns to Investing in Commodity Futures: Separating the Wheat from the Chaff," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(4), pages 583-610, December.
    4. Jacques Pézier, 2011. "Rationalization of Investment Preference Criteria," ICMA Centre Discussion Papers in Finance icma-dp2011-12, Henley Business School, University of Reading.
    5. S Lozano & E Gutiérrez, 2008. "TSD-consistent performance assessment of mutual funds," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(10), pages 1352-1362, October.
    6. Glawischnig, Markus & Sommersguter-Reichmann, Margit, 2010. "Assessing the performance of alternative investments using non-parametric efficiency measurement approaches: Is it convincing?," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 295-303, February.
    7. Lamb, John D. & Tee, Kai-Hong, 2012. "Data envelopment analysis models of investment funds," European Journal of Operational Research, Elsevier, vol. 216(3), pages 687-696.
    8. Martin Eling, 2006. "Performance measurement of hedge funds using data envelopment analysis," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(4), pages 442-471, December.
    9. Vassilios Babalos & Michael Doumpos & Nikolaos Philippas & Constantin Zopounidis, 2015. "Towards a Holistic Approach for Mutual Fund Performance Appraisal," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 35-53, June.
    10. Don Galagedera, 2010. "Association between environmental factors and equity market performance: evidence from a nonparametric frontier method," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 24(3), pages 245-269, September.
    11. Mamatzakis, Emmanuel & Xu, Bingrun, 2016. "Managerial attributes and equity mutual fund performance: evidence from china," MPRA Paper 76139, University Library of Munich, Germany.
    12. Silvio John Camilleri & Ritienne Farrugia, 2018. "The Risk-Adjusted Performance of Alternative Investment Funds and UCITS: A Comparative Analysis," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(7), pages 1-23, July.
    13. Carlos S�nchez-Gonz�lez & Jos� Luis Sarto & Luis Vicente, 2013. "The efficiency of Spanish mutual funds companies: A slacks-based measure approach," Documentos de Trabajo dt2013-01, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    14. Tae Hoon Oum & Katsuhiro Yamaguchi & Yuichiro Yoshida, 2011. "Efficiency Measurement Theory and its Application to Airport Benchmarking," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 13, Edward Elgar Publishing.
    15. Banker, Rajiv & Chen, Janice Y.S. & Klumpes, Paul, 2016. "A trade-level DEA model to evaluate relative performance of investment fund managers," European Journal of Operational Research, Elsevier, vol. 255(3), pages 903-910.
    16. Lin, Ruiyue & Liu, Qian, 2021. "Multiplier dynamic data envelopment analysis based on directional distance function: An application to mutual funds," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1043-1057.
    17. Simar, Léopold & Vanhems, Anne, 2012. "Probabilistic characterization of directional distances and their robust versions," Journal of Econometrics, Elsevier, vol. 166(2), pages 342-354.
    18. Brandouy, Olivier & Briec, Walter & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2010. "Portfolio performance gauging in discrete time using a Luenberger productivity indicator," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1899-1910, August.
    19. Briec, Walter & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2013. "Portfolio selection with skewness: A comparison of methods and a generalized one fund result," European Journal of Operational Research, Elsevier, vol. 230(2), pages 412-421.
    20. Edirisinghe, N.C.P. & Zhang, X., 2007. "Generalized DEA model of fundamental analysis and its application to portfolio optimization," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3311-3335, November.

    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:annopr:v:145:y:2006:i:1:p:183-200:10.1007/s10479-006-0030-y. 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.