IDEAS home Printed from https://ideas.repec.org/a/bla/mathfi/v28y2018i1p106-118.html
   My bibliography  Save this article

Utility Maximization In A Large Market

Author

Listed:
  • Oleksii Mostovyi

Abstract

We study the problem of expected utility maximization in a large market, i.e., a market with countably many traded assets. Assuming that agents have von Neumann–Morgenstern preferences with stochastic utility function and that consumption occurs according to a stochastic clock, we obtain the “usual†conclusions of the utility maximization theory. We also give a characterization of the value function in a large market in terms of a sequence of value functions in finite†dimensional models.

Suggested Citation

  • Oleksii Mostovyi, 2018. "Utility Maximization In A Large Market," Mathematical Finance, Wiley Blackwell, vol. 28(1), pages 106-118, January.
    • Handle: RePEc:bla:mathfi:v:28:y:2018:i:1:p:106-118
    DOI: 10.1111/mafi.12123
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/mafi.12123
    Download Restriction: no
    File URL: https://libkey.io/10.1111/mafi.12123?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
    ---><---

    Citations

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


    Cited by:

    1. Laurence Carassus & Miklos Rasonyi, 2019. "From small markets to big markets," Papers 1907.05593, arXiv.org, revised Oct 2020.
    2. Xian, Yujiao & Wang, Qian & Fan, Wenrong & Da, Yabin & Fan, Jing-Li, 2022. "The impact of different incentive policies on new energy vehicle demand in China's gigantic cities," Energy Policy, Elsevier, vol. 168(C).
    3. Laurence Carassus & Miklós Rásonyi, 2020. "Risk-Neutral Pricing for Arbitrage Pricing Theory," Journal of Optimization Theory and Applications, Springer, vol. 186(1), pages 248-263, July.

    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:bla:mathfi:v:28:y:2018:i:1:p:106-118. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0960-1627 .

    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.