IDEAS home Printed from https://ideas.repec.org/a/jfr/afr111/v4y2015i1p129.html
   My bibliography  Save this article

Rating the Stock Market Performance through Zero-Investment Strategies

Author

Listed:
  • Maria-Teresa Bosch-Badia
  • Joan Montllor-Serrats
  • Maria-Antonia Tarrazon-Rodon

Abstract

The central aim of this work is to find a method for rating the performance of stock market indices. Although stock market indices are the most frequent benchmark for portfolio performance measurement, there is no benchmark for them except its own history and other market indices. Comparing the present performance with the past or with other markets means to introduce the variables time and distance into the analysis, which leads to compare different contexts. This arouses the question whether we can measure the stock market performance putting aside time and distance. We find a positive answer by means of options that have the index as their underlying asset. Properly chosen, these options create thresholds that classify the performance level on each period according to a systematic scale. To this end, we develop an option based zero-investment strategy that interacts a long call and short put that capture the market risk premium at their maturity. The notional return on this strategy can be taken as a performance measure that enables us to rate the market performance according to four categories depending on its capacity of overcoming or not the cost of protecting a long position with a put or a short position with a call. We prove that our measure adds a new interpretation to the Sharpe ratio because it is quasi-proportional to it for the usual values of volatility. The paper includes an application to the historical performance of S&P 500 (1959-2013).Â

Suggested Citation

  • Maria-Teresa Bosch-Badia & Joan Montllor-Serrats & Maria-Antonia Tarrazon-Rodon, 2015. "Rating the Stock Market Performance through Zero-Investment Strategies," Accounting and Finance Research, Sciedu Press, vol. 4(1), pages 129-129, February.
  • Handle: RePEc:jfr:afr111:v:4:y:2015:i:1:p:129
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/afr/article/download/5899/3884
    Download Restriction: no

    File URL: https://www.sciedupress.com/journal/index.php/afr/article/view/5899
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Juliane Proelss & Denis Schweizer, 2014. "Polynomial goal programming and the implicit higher moment preferences of US institutional investors in hedge funds," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(1), pages 1-28, February.
    2. Treynor, Jack L & Black, Fischer, 1973. "How to Use Security Analysis to Improve Portfolio Selection," The Journal of Business, University of Chicago Press, vol. 46(1), pages 66-86, January.
    3. Eling, Martin & Schuhmacher, Frank, 2007. "Does the choice of performance measure influence the evaluation of hedge funds?," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2632-2647, September.
    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. Bosch-Badia, Maria Teresa & Montllor-Serrats, Joan & Tarrazon-Rodon, Maria-Antonia, 2014. "Unveiling the embedded coherence in divergent performance rankings," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 154-165.
    2. Grose, Chris & Dasilas, Apostolos & Alexakis, Christos, 2014. "Performance persistence in fixed interest funds: With an eye on the post-debt crisis period," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 155-182.
    3. Auer, Benjamin R. & Marohn, Marcel, 2024. "Computational dynamics of information ratios," Economics Letters, Elsevier, vol. 236(C).
    4. Zakamouline, Valeri & Koekebakker, Steen, 2009. "Portfolio performance evaluation with generalized Sharpe ratios: Beyond the mean and variance," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1242-1254, July.
    5. Seitz, Franz & Auer, Benjamin R., 2008. "Performancemessung: Theoretische Maße und empirische Umsetzung mit VBA," Weidener Diskussionspapiere 12, University of Applied Sciences Amberg-Weiden (OTH).
    6. Dombrowski, Niclas & Drobetz, Wolfgang & Momtaz, Paul P., 2023. "Performance measurement of crypto funds," Economics Letters, Elsevier, vol. 228(C).
    7. Darolles, Serge & Gourieroux, Christian, 2010. "Conditionally fitted Sharpe performance with an application to hedge fund rating," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 578-593, March.
    8. Stadtmüller, Immo & Auer, Benjamin R. & Schuhmacher, Frank, 2022. "On the benefits of active stock selection strategies for diversified investors," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 342-354.
    9. Monika Mościbrodzka, 2021. "Alternative investment funds – the evaluation of managers’ abilities in the light of the amendments to the Act on Investment Fund," Bank i Kredyt, Narodowy Bank Polski, vol. 52(6), pages 517-544.
    10. Butt, Prof. Khursheed A & Pandow, Bilal Ahmad, 2013. "An analysis into the Stock Selectivity skill of Indian Fund Managers," MPRA Paper 83500, University Library of Munich, Germany, revised 2013.
    11. Pirgaip, Burak & Arslan-Ayaydin, Özgür & Karan, Mehmet Baha, 2021. "Do Sukuk provide diversification benefits to conventional bond investors? Evidence from Turkey," Global Finance Journal, Elsevier, vol. 50(C).
    12. Fernandes, Marcelo & Mergulhão, João, 2016. "Anticipatory effects in the FTSE 100 index revisions," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 79-90.
    13. Jeroen Derwall & Kees Koedijk, 2009. "Socially Responsible Fixed‐Income Funds," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(1‐2), pages 210-229, January.
    14. Hsiao-Fen Hsiao & Jiang-Chuan Huang & Zheng-Wei Lin, 2020. "Portfolio construction using bootstrapping neural networks: evidence from global stock market," Review of Derivatives Research, Springer, vol. 23(3), pages 227-247, October.
    15. Andrei Kapaev, 2013. "Remark on repo and options," Papers 1311.5211, arXiv.org.
    16. 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.
    17. Massimiliano Caporin & Grégory M. Jannin & Francesco Lisi & Bertrand B. Maillet, 2014. "A Survey On The Four Families Of Performance Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 917-942, December.
    18. Enrico G. De Giorgi & Thierry Post, 2011. "Loss Aversion with a State-Dependent Reference Point," Management Science, INFORMS, vol. 57(6), pages 1094-1110, June.
    19. Mario Alejandro Acosta R., 2014. "Las acciones como activo de reserva para el Banco de la República," Documentos CEDE 11004, Universidad de los Andes, Facultad de Economía, CEDE.
    20. Amparo Soler Domínguez & Juan Carlos Matallín Sáez & Emili Tortosa Ausina, 2011. "On the informativeness of persistence for mutual funds' performance evaluation using partial frontiers," Working Papers. Serie EC 2011-08, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:jfr:afr111:v:4:y:2015:i:1:p:129. 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: Sciedu Press (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.