IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-1-4614-6234-7_8.html
   My bibliography  Save this book chapter

Risk Economics and Multi-Agent CCAPM

In: Engineering Risk and Finance

Author

Listed:
  • Charles S. Tapiero

    (Polytechnic Institute of New York University)

Abstract

Utility models to price risk assets have been used following the seminal contribution of Markowitz, Sharpe, Lintner and a legion of economist and financial engineers. Models such as CAPM (Capital Assets Pricing Model) are for example linear risk models, implying a quadratic utility function which is used profusely in the financial industry. Generalization to the CCAPM (The Consumption Capital Assets Pricing Model) has further extended the theoretical and practical usefulness of such models, as well as provide an apparent relationship (in some cases) with pricing models based on Arrow-Debreu state preference theory. In this chapter this economic framework is extended, in the sense that the CCAPM may account for some endogenous factors embedded in economic aggregates (such as aggregate consumption rather than just an individual’s consumer). Such an extension has not been subjected to an empirical analysis but provides a theoretical framework for assessing a number of additional factors that affect the pricing of risk. In particular, it provides an economic and financial framework to value and price assets in situations that depart from the complete market hypothesis such as debt, consumers wealth etc. Applications are considered in both this chapter and the next.

Suggested Citation

  • Charles S. Tapiero, 2013. "Risk Economics and Multi-Agent CCAPM," International Series in Operations Research & Management Science, in: Engineering Risk and Finance, edition 127, chapter 0, pages 251-281, Springer.
  • Handle: RePEc:spr:isochp:978-1-4614-6234-7_8
    DOI: 10.1007/978-1-4614-6234-7_8
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:isochp:978-1-4614-6234-7_8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.