IDEAS home Printed from https://ideas.repec.org/a/prs/recofi/ecofi_0987-3368_2008_hos_7_1_5208.html
   My bibliography  Save this article

La gestion stratégique d’actifs d’un fonds de réserve face au risque financier

Author

Listed:
  • Stéphane Hamayon
  • Florence Legros

Abstract

[fre] Les effets des récentes turbulences financières posent la question de la sensibilité du fonds de réserve pour les retraites à une crise boursière. Pour éclairer ce problème complexe, nous avons placé le fonds dans un environnement virtuel stylisé. Ainsi, tant la dynamique du prix des actifs risqués que celle du besoin de financement du régime par répartition que supplée le fonds ont été simulées. Cette modélisation nous a permis d’encadrer les stratégies de placement minimisant le risque de défaillance du fonds de réserve, puis d’analyser sa sensibilité face à un krach boursier. Les résultats suggèrent que la part des actions dans les allocations stratégiques a plutôt tendance à être sous-pondérée et nous alertent, par ailleurs, sur l’inquiétante faiblesse de l’abondement du fonds de réserve au regard de sa mission présumée.

Suggested Citation

  • Stéphane Hamayon & Florence Legros, 2008. "La gestion stratégique d’actifs d’un fonds de réserve face au risque financier," Revue d'Économie Financière, Programme National Persée, vol. 7(1), pages 205-217.
  • Handle: RePEc:prs:recofi:ecofi_0987-3368_2008_hos_7_1_5208
    DOI: 10.3406/ecofi.2008.5208
    Note: DOI:10.3406/ecofi.2008.5208
    as

    Download full text from publisher

    File URL: https://doi.org/10.3406/ecofi.2008.5208
    Download Restriction: no

    File URL: https://www.persee.fr/doc/ecofi_0987-3368_2008_hos_7_1_5208
    Download Restriction: no

    File URL: https://libkey.io/10.3406/ecofi.2008.5208?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
    ---><---

    References listed on IDEAS

    as
    1. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    2. Didier Blanchet, 1992. "Retraites et croissance à long terme. Un essai de simulation," Économie et Prévision, Programme National Persée, vol. 105(4), pages 1-16.
    3. Eric Jondeau & Michael Rockinger, 2006. "Optimal Portfolio Allocation under Higher Moments," European Financial Management, European Financial Management Association, vol. 12(1), pages 29-55, January.
    4. Wright, Jonathan H, 2000. "Alternative Variance-Ratio Tests Using Ranks and Signs," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 1-9, January.
    5. Stéphane Hamayon & Florence Legros, 2001. "Construction and Impact of a Buffer Fund within the French PAYG Pension Scheme in a Demo-Economic Model," CESifo Working Paper Series 531, CESifo.
    6. Ronald Balvers & Yangru Wu & Erik Gilliland, 2000. "Mean Reversion across National Stock Markets and Parametric Contrarian Investment Strategies," Journal of Finance, American Finance Association, vol. 55(2), pages 745-772, April.
    7. Metcalf, Gilbert E. & Hassett, Kevin A., 1995. "Investment under alternative return assumptions Comparing random walks and mean reversion," Journal of Economic Dynamics and Control, Elsevier, vol. 19(8), pages 1471-1488, November.
    8. Philippe Jorion, 2003. "The Long-Term Risks of Global Stock Markets," Financial Management, Financial Management Association, vol. 32(4), Winter.
    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. Bernard Njindan Iyke, 2019. "A Test Of The Efficiency Of The Foreign Exchange Market In Indonesia," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 0(12th BMEB), pages 1-26, January.
    2. Stéphane Hamayon & Florence Legros & Pradat Yannick, 2016. "Non gaussian returns: which impact on default options retirement plans? [Distribution non gaussienne des rendements : quel impact sur les options par défaut des plans d'épargne retraite ?]," Working Papers hal-03003588, HAL.
    3. Eric Hillebrand, 2005. "Mean Reversion Expectations and the 1987 Stock Market Crash: An Empirical Investigation," Finance 0501015, University Library of Munich, Germany.
    4. Dominique Guégan & Marius Cristian Frunza, 2018. "Is the Bitcoin Rush Over?," Documents de travail du Centre d'Economie de la Sorbonne 18014, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    5. Bariviera, Aurelio F. & Font-Ferrer, Alejandro & Sorrosal-Forradellas, M. Teresa & Rosso, Osvaldo A., 2019. "An information theory perspective on the informational efficiency of gold price," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    6. Anoop S. KUMAR & Bandi KAMAIAH, 2016. "Efficiency, non-linearity and chaos: evidences from BRICS foreign exchange markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(606), S), pages 103-118, Spring.
    7. Prat, Georges, 2013. "Equity risk premium and time horizon: What do the U.S. secular data say?," Economic Modelling, Elsevier, vol. 34(C), pages 76-88.
    8. Emmanouil Mavrakis & Christos Alexakis, 2018. "Statistical Arbitrage Strategies under Different Market Conditions: The Case of the Greek Banking Sector," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(2), pages 159-185, August.
    9. Marius Cristian Frunza & Dominique Guégan, 2018. "Is the Bitcoin Rush Over?," Working Papers 2018:10, Department of Economics, University of Venice "Ca' Foscari".
    10. Francesco Guidi & Rakesh Gupta, 2011. "Are ASEAN stock market efficient? Evidence from univariate and multivariate variance ratio tests," Discussion Papers in Finance finance:201113, Griffith University, Department of Accounting, Finance and Economics.
    11. Seok Young Hong & Oliver Linton & Hui Jun Zhang, 2014. "Multivariate variance ratio statistics," CeMMAP working papers 29/14, Institute for Fiscal Studies.
    12. Yuval Arbel & Danny Ben-Shahar & Eyal Sulganik, 2009. "Mean Reversion and Momentum: Another Look at the Price-Volume Correlation in the Real Estate Market," The Journal of Real Estate Finance and Economics, Springer, vol. 39(3), pages 316-335, October.
    13. Aggarwal, Divya, 2019. "Do bitcoins follow a random walk model?," Research in Economics, Elsevier, vol. 73(1), pages 15-22.
    14. Graham Smith, 2008. "Liquidity And The Informational Efficiency Of African Stock Markets," South African Journal of Economics, Economic Society of South Africa, vol. 76(2), pages 161-175, June.
    15. Abdmoulah, Walid, 2010. "Testing the evolving efficiency of Arab stock markets," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 25-34, January.
    16. Aye, Goodness C. & Gil-Alana, Luis A. & Gupta, Rangan & Wohar, Mark E., 2017. "The efficiency of the art market: Evidence from variance ratio tests, linear and nonlinear fractional integration approaches," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 283-294.
    17. Hyeongwoo Kim & Liliana Stern & Michael Stern, 2009. "Nonlinear mean reversion in the G7 stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 19(5), pages 347-355.
    18. Charles, Amélie & Darné, Olivier, 2009. "The efficiency of the crude oil markets: Evidence from variance ratio tests," Energy Policy, Elsevier, vol. 37(11), pages 4267-4272, November.
    19. Semenov, Andrei, 2015. "The small-cap effect in the predictability of individual stock returns," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 178-197.
    20. Vieito, João Paulo & Wong, Wing-Keung & Chow, Sheung Chi, 2016. "Stock Market Liberalizations and Efficiency: The Case of Latin America," MPRA Paper 68949, University Library of Munich, Germany.

    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:prs:recofi:ecofi_0987-3368_2008_hos_7_1_5208. 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: Equipe PERSEE (email available below). General contact details of provider: https://www.persee.fr/collection/ecofi .

    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.