IDEAS home Printed from https://ideas.repec.org/a/bbz/fcpbbr/v9y2012i2p109-133.html
   My bibliography  Save this article

Dynamic strategies to optimize asset allocation: empirical evidence in the Brazilian market

Author

Listed:
  • Hedmilton Mourão Cardoso

    (IBMEC-RJ)

  • Claudio Henrique da Silveira Barbedo

    (IBMEC-RJ)

  • José Valentim Machado Vicente

    (IBMEC-RJ)

Abstract

Short-term return bear influence on common investors and fund managers. However, the correct forecast of short-term market movements is not a trivial task. The purpose of this essay is to verify, according to Herold et al. (2007), if the dynamic allocation amongst main Brazilian asset classes can generate long-term gains and limit losses in shorter periods. The test results involving Ibovespa as the only risk asset confirmed this purpose. Tests involving fixed-income assets, variable-income assets and inflation-linked assets proved that the return is limited by this strategy. Static allocation and protection strategies were concurrently tested for short-term situations.

Suggested Citation

  • Hedmilton Mourão Cardoso & Claudio Henrique da Silveira Barbedo & José Valentim Machado Vicente, 2012. "Dynamic strategies to optimize asset allocation: empirical evidence in the Brazilian market," Brazilian Business Review, Fucape Business School, vol. 9(2), pages 109-133, April.
  • Handle: RePEc:bbz:fcpbbr:v:9:y:2012:i:2:p:109-133
    as

    Download full text from publisher

    File URL: http://bbronline.com.br/index.php/bbr/article/download/272/415
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 73-92.
    2. Stulz, ReneM., 1982. "Options on the minimum or the maximum of two risky assets : Analysis and applications," Journal of Financial Economics, Elsevier, vol. 10(2), pages 161-185, July.
    3. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    4. Dichtl, Hubert & Drobetz, Wolfgang, 2011. "Portfolio insurance and prospect theory investors: Popularity and optimal design of capital protected financial products," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1683-1697, July.
    5. Jiang, Chonghui & Ma, Yongkai & An, Yunbi, 2009. "The effectiveness of the VaR-based portfolio insurance strategy: An empirical analysis," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 185-197, September.
    6. Dierkes, Maik & Erner, Carsten & Zeisberger, Stefan, 2010. "Investment horizon and the attractiveness of investment strategies: A behavioral approach," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 1032-1046, May.
    7. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    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. Dichtl, Hubert & Drobetz, Wolfgang, 2011. "Portfolio insurance and prospect theory investors: Popularity and optimal design of capital protected financial products," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1683-1697, July.
    2. Hubert Dichtl & Wolfgang Drobetz & Martin Wambach, 2017. "A bootstrap-based comparison of portfolio insurance strategies," The European Journal of Finance, Taylor & Francis Journals, vol. 23(1), pages 31-59, January.
    3. Häckel, Björn & Pfosser, Stefan & Tränkler, Timm, 2017. "Explaining the energy efficiency gap - Expected Utility Theory versus Cumulative Prospect Theory," Energy Policy, Elsevier, vol. 111(C), pages 414-426.
    4. Wentao Hu & Cuixia Chen & Yufeng Shi & Ze Chen, 2022. "A Tail Measure With Variable Risk Tolerance: Application in Dynamic Portfolio Insurance Strategy," Methodology and Computing in Applied Probability, Springer, vol. 24(2), pages 831-874, June.
    5. Shuonan Yuan & Marc Oliver Rieger, 2021. "Diversification with options and structured products," Review of Derivatives Research, Springer, vol. 24(1), pages 55-77, April.
    6. Myroslava Kushnir, 2015. "Investment strategy to avoid losses on the ukrainian stock market," Ukrainian Journal Ekonomist, Yuriy Kovalenko, issue 11, pages 19-22, November.
    7. David Happersberger & Harald Lohre & Ingmar Nolte, 2020. "Estimating portfolio risk for tail risk protection strategies," European Financial Management, European Financial Management Association, vol. 26(4), pages 1107-1146, September.
    8. Chen, An & Hentschel, Felix & Klein, Jakob K., 2015. "A utility- and CPT-based comparison of life insurance contracts with guarantees," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 327-339.
    9. Vorst, A. C. F., 1988. "Option Pricing And Stochastic Processes," Econometric Institute Archives 272366, Erasmus University Rotterdam.
    10. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    11. Alan Kirman & François Laisney & Paul Pezanis-Christou, 2023. "Relaxing the symmetry assumption in participation games: a specification test for cluster-heterogeneity," Experimental Economics, Springer;Economic Science Association, vol. 26(4), pages 850-878, September.
    12. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    13. Chenglu Jin & Thomas Conlon & John Cotter, 2023. "Co-Skewness across Return Horizons," Journal of Financial Econometrics, Oxford University Press, vol. 21(5), pages 1483-1518.
    14. Jozsef Sakovics, 2007. "Reference price distortion," Edinburgh School of Economics Discussion Paper Series 177, Edinburgh School of Economics, University of Edinburgh.
    15. Teck-Hua Ho & Juanjuan Zhang, 2008. "Designing Pricing Contracts for Boundedly Rational Customers: Does the Framing of the Fixed Fee Matter?," Management Science, INFORMS, vol. 54(4), pages 686-700, April.
    16. Raquel M. Gaspar & Paulo M. Silva, 2023. "Investors’ perspective on portfolio insurance," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 22(1), pages 49-79, January.
    17. De Borger, Bruno & Fosgerau, Mogens, 2007. "Discrete choices and the trade-off between money and time: A test of the theory of reference-dependent preferences," MPRA Paper 3904, University Library of Munich, Germany.
    18. 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.
    19. Edoardo GAFFEO & Ivan PETRELLA & Damjan PFAJFAR & Emiliano SANTORO, 2010. "Reference-dependent preferences and the transmission of monetary policy," Working Papers of Department of Economics, Leuven ces10.28, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    20. Tian, Ye & Li, Yudi & Sun, Jian, 2022. "Stick or carrot for traffic demand management? Evidence from experimental economics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 235-254.

    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:bbz:fcpbbr:v:9:y:2012:i:2:p:109-133. 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: Sarah Lasso (email available below). General contact details of provider: https://edirc.repec.org/data/fucapbr.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.