IDEAS home Printed from https://ideas.repec.org/p/chf/rpseri/rp0714.html
   My bibliography  Save this paper

Stochastic Reference Points And The Dependence Structure

Author

Listed:
  • Enrico De Giorgi

    (University of Lugano)

  • Thierry Post

    (Erasmus University Rotterdam)

Abstract

This study develops a framework for dealing with stochastic reference points and endogenously selecting the reference point in reference-dependent choice theories that accounts for the joint probability distribution of the prospects and the reference point. Without accounting for the dependence structure, the endogenous reference point can deviate from the decision-maker’s optimum. Accounting for dependence, reference dependence affects choice behavior only if the reference point is (in part or in whole) exogenously fixed. In an application to well-known US investment benchmark data, investors invest in riskless T-bills rather than stocks if we ignore the dependence structure, while investing in small value stocks is optimal when we account for dependence.

Suggested Citation

  • Enrico De Giorgi & Thierry Post, 2007. "Stochastic Reference Points And The Dependence Structure," Swiss Finance Institute Research Paper Series 07-14, Swiss Finance Institute, revised Apr 2007.
  • Handle: RePEc:chf:rpseri:rp0714
    as

    Download full text from publisher

    File URL: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=979854
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Reference-dependent preferences; loss aversion; prospect theory; dependence structure;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:chf:rpseri:rp0714. 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: Ridima Mittal (email available below). General contact details of provider: https://edirc.repec.org/data/fameech.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.