IDEAS home Printed from https://ideas.repec.org/p/qed/wpaper/1247.html

Precautionary Saving And Portfolio Allocation: Dp By Gmm

Author

Listed:
  • Marc-Andre Letendre

    (McMaster University)

  • Gregor W. Smith

Abstract

There is much research on consumption-savings problems with risky labor incomeand a constant interest rate and also on portfolio allocation with risky returns but nonstochastic labor income. Less is known quantitatively about the interaction between the two forms of risk. Under CRRA utility, undiversifiable income risk should be reflected in both savings rates and portfolio allocations. To quantify these effects in a model of consumptionand portfolio choice, we adopt a semi-parametric projection method for solving dynamic programmes, based on generalized method of moments estimation of the parametersof approximate decision rules. We find that background income risk does affect optimal portfolios but that this effect may be difficult to detect empirically.

Suggested Citation

  • Marc-Andre Letendre & Gregor W. Smith, 2000. "Precautionary Saving And Portfolio Allocation: Dp By Gmm," Working Paper 1247, Economics Department, Queen's University.
  • Handle: RePEc:qed:wpaper:1247
    as

    Download full text from publisher

    File URL: https://www.econ.queensu.ca/sites/econ.queensu.ca/files/wpaper/qed_wp_1247.pdf
    File Function: First version 2000
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Luc Arrondel & Hector Calvo Pardo & Xisco Oliver, 2007. "Temperant portfolio choice and background risk: evidence from France," Working Papers halshs-00588069, HAL.
    3. Jingjing Ye & Lulu Zhao, 2025. "Do Traditional Family Values Affect Household Asset Allocation? — Empirical from China," Journal of Family and Economic Issues, Springer, vol. 46(1), pages 277-296, March.
    4. Sule Alan, 2004. "Precautionary Wealth and Portfolio Allocation: Evidence from Canadian Microdata," Social and Economic Dimensions of an Aging Population Research Papers 117, McMaster University.
    5. Feigenbaum, James, 2005. "Second-, third-, and higher-order consumption functions: a precautionary tale," Journal of Economic Dynamics and Control, Elsevier, vol. 29(8), pages 1385-1425, August.
    6. Luis M. Viceira, 2001. "Optimal Portfolio Choice for Long‐Horizon Investors with Nontradable Labor Income," Journal of Finance, American Finance Association, vol. 56(2), pages 433-470, April.
    7. Letendre, Marc-Andre, 2004. "Semi-parametric predictions of the intertemporal approach to the current account," Journal of International Economics, Elsevier, vol. 64(2), pages 363-386, December.
    8. Veld-Merkoulova, Yulia V., 2011. "Investment horizon and portfolio choice of private investors," International Review of Financial Analysis, Elsevier, vol. 20(2), pages 68-75, April.
    9. Wilson, Bonnie, 2003. "Diversification of risk and saving," The Quarterly Review of Economics and Finance, Elsevier, vol. 43(4), pages 697-712.
    10. Smith, Gregor W. & Zin, Stanley E., 1997. "Real business-cycle realizations," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 47(1), pages 243-280, December.
    11. Jaime Ruiz-Tagle, 2006. "Financial Markets Incompleteness and Inequality Over the Life-Cycle," Working Papers Central Bank of Chile 405, Central Bank of Chile.
    12. Roberto Bande & Dolores Riveiro, 2013. "Private Saving Rates and Macroeconomic Uncertainty: Evidence from Spanish Regional Data," The Economic and Social Review, Economic and Social Studies, vol. 44(3), pages 323-349.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    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:qed:wpaper:1247. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mark Babcock (email available below). General contact details of provider: https://edirc.repec.org/data/qedquca.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.