IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/19681.html
   My bibliography  Save this paper

Construction d’un portefeuille efficient : Application empirique à partir d’un échantillon de valeurs cotées à la Bourse des Valeurs de Casablanca
[THE efficient portfolio construction: an empirical investigation based on some listed shares in casablanca stock exchange]

Author

Listed:
  • El Bouhadi, A.
  • Ounir, A.
  • El Maguiri, M.

Abstract

In this paper, we try to build an efficient portfolio among four possible portfolios based on the some 31 Casablanca listed shares. Our analysis concerns the risk which arises from the Markowitz mean-variance approach. Our work method will be implemented as following: first of all, we will test the normality and the stationarity of 31 shares which have composed our sample; secondly we will review a theoretical literature about the optimal portfolio choices (based on the Markowitz mean-variance analysis). Thirdly and related to the practical part, we enumerate and emphasize the steps that lead to the construction of efficient portfolio. The presented modelling is used in order to optimally allocate the selected financial assets. The different methods of measurement of return, risk and the other statistical properties constitute, in fact, the pillars of companies sample listed analysis in the case of Casablanca Stock Exchange. Our purpose ends with the assets selection which allows us to choose the efficient portfolio. The selection process of efficient portfolio can be summarized in the following stages: the collection of data to be able to constitute our sample; the estimation of returns, of beta sensibility coefficients and risky assets of investment; the selection of efficient and profitable assets according to some criteria; the weighting coefficients allocation presenting the efficient border of portfolios. In this article and under the choice of companies sample composing our portfolios, we shall take into account, the shares monthly returns, the rate of dispersal around the average of returns, the covariance between assets (degree of interdependence between assets) and the type of sector that each company sets up (in order to highlight an analysis based on a disparity in achievement yields).

Suggested Citation

  • El Bouhadi, A. & Ounir, A. & El Maguiri, M., 2008. "Construction d’un portefeuille efficient : Application empirique à partir d’un échantillon de valeurs cotées à la Bourse des Valeurs de Casablanca [THE efficient portfolio construction: an empirica," MPRA Paper 19681, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:19681
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/19681/1/MPRA_paper_19681.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sharpe, William F., 1967. "Portfolio Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 2(2), pages 76-84, 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. Sharpe, William F, 1991. "Capital Asset Prices with and without Negative Holdings," Journal of Finance, American Finance Association, vol. 46(2), pages 489-509, June.
    2. Füss, Roland & Miebs, Felix & Trübenbach, Fabian, 2014. "A jackknife-type estimator for portfolio revision," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 14-28.
    3. Ravi Jagannathan & Tongshu Ma, 2003. "Risk Reduction in Large Portfolios: Why Imposing the Wrong Constraints Helps," Journal of Finance, American Finance Association, vol. 58(4), pages 1651-1683, August.
    4. Onour, Ibrahim, 2009. "Natural Gas markets:How Sensitive to Crude Oil Price Changes?," MPRA Paper 14937, University Library of Munich, Germany.
    5. Gatfaoui Hayette, 2004. "Idiosyncratic Risk, Systematic Risk and Stochastic Volatility: An Implementation of Merton’s Credit Risk Valuation," Finance 0404004, University Library of Munich, Germany.
    6. Pinto, Cristian F. & Acuña, Andres A., 2011. "Consistencia de la evaluación de desempeño de inversiones financieras: Pruebas de dominación estocástica versus índices media-varianza [Consistency in the evaluation of financial investment perform," MPRA Paper 31301, University Library of Munich, Germany.
    7. Darren Hayunga & R. Pace, 2010. "Spatial Statistics Applied to Commercial Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 41(2), pages 103-125, August.
    8. Walter Briec & Kristiaan Kerstens & Octave Jokung, 2007. "Mean-Variance-Skewness Portfolio Performance Gauging: A General Shortage Function and Dual Approach," Management Science, INFORMS, vol. 53(1), pages 135-149, January.
    9. Frahm, Gabriel & Memmel, Christoph, 2008. "Dominating estimators for the global minimum variance portfolio," Discussion Papers in Econometrics and Statistics 2/08, University of Cologne, Institute of Econometrics and Statistics.
    10. Mahnke, Volker & Overby, Mikkel Lucas, 2006. "Managing Risk and Synergies R&D-Collaborations," Working Papers 2004-16, Copenhagen Business School, Department of Informatics.
    11. Mohamed Saidane & Christian Lavergne, 2007. "A structured variational learning approach for switching latent factor models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 91(3), pages 245-268, October.
    12. Andersson, Åke E, 2009. "Productivity of and Returns to Knowledge Investments," Working Paper Series in Economics and Institutions of Innovation 165, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    13. Cabrini, Silvina M. & Stark, Brian G. & Irwin, Scott H. & Good, Darrel L. & Martines-Filho, Joao, 2005. "Portfolios of Agricultural Market Advisory Services: How Much Diversification Is Enough?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 37(1), pages 101-114, April.
    14. Gómez-Déniz, E., 2004. "A note on mixture prior distributions with applications in actuarial statistic/Sobre las Distribuciones a Priori Mixtas con Aplicaciones en la Estadística Actuarial," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 22, pages 372(15á)-37, Agosto.
    15. Joseph Friedman & Herbert E Phillips, 2010. "The Portfolio Implications of Adding Social Security Private Account Options to Ongoing Investments," DETU Working Papers 1004, Department of Economics, Temple University.
    16. Rym Ayadi & Georges Pujals, 2005. "Banking Mergers and Acquisitions in the EU: Overview, Assessment and Prospects," SUERF Studies, SUERF - The European Money and Finance Forum, number 2005/3 edited by Morten Balling, May.
    17. Alex Kane & Alan J. Marcus, 1986. "The Valuation of Security Analysis," NBER Working Papers 1958, National Bureau of Economic Research, Inc.
    18. Gopal K. Basak & Ravi Jagannathan & Tongshu Ma, 2004. "A Jackknife Estimator for Tracking Error Variance of Optimal Portfolios Constructed Using Estimated Inputs1," NBER Working Papers 10447, National Bureau of Economic Research, Inc.
    19. Oberndorfer Ulrich & Ziegler Andreas, 2009. "2002 German Federal Elections and Associated Energy Policy: How Were Energy Corporations Financially Affected?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(5), pages 570-583, October.
    20. Turvey, Calum G. & Weersink, Alfons, 2005. "Pricing Weather Insurance with a Random Strike Price: An Application to the Ontario Ice Wine Harvest," 2005 Annual meeting, July 24-27, Providence, RI 19255, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    More about this item

    Keywords

    Portfolio Construction; Stationarity; Normality of Return; Risk; Efficient Portfolio; Markowitz Model; Casablanca Stock Exchange.;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:pra:mprapa:19681. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.