IDEAS home Printed from https://ideas.repec.org/p/chf/rpseri/rp2296.html
   My bibliography  Save this paper

Evolutionary finance: A model with endogenous asset payoffs

Author

Listed:
  • Igor V. Evstigneev

    (University of Manchester - Economics, School of Social Sciences)

  • Thorsten Hens

    (University of Zurich - Department of Banking and Finance; Norwegian School of Economics and Business Administration (NHH); Swiss Finance Institute)

  • Mohammad Javad Vanaei

    (University of Manchester)

Abstract

Evolutionary Finance (EF) explores financial markets as evolving biological systems. Investors pursuing diverse investment strategies compete for the market capital. Some "survive" and some "become extinct". A central goal is to identify evolutionary stable (in one sense or another) investment strategies. The problem is analyzed in a framework combining stochastic dynamics and evolutionary game theory. Most of the models currently considered in EF assume that asset payo¤s are exogenous and depend only on the underlying stochastic process of states of the world. The present work develops a model where the payo¤s are endogenous: they depend on the share of total market wealth invested in the asset.

Suggested Citation

  • Igor V. Evstigneev & Thorsten Hens & Mohammad Javad Vanaei, 2022. "Evolutionary finance: A model with endogenous asset payoffs," Swiss Finance Institute Research Paper Series 22-96, Swiss Finance Institute, revised May 2023.
  • Handle: RePEc:chf:rpseri:rp2296
    as

    Download full text from publisher

    File URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4308736
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Chunsheng Wang & Jiatong Weng & Jingshi He & Xiaopin Wang & Hong Ding & Quanxin Zhu, 2024. "Stability Analysis of the Credit Market in Supply Chain Finance Based on Stochastic Evolutionary Game Theory," Mathematics, MDPI, vol. 12(11), pages 1-16, June.

    More about this item

    Keywords

    Evolutionary Finance; endogenous asset payoffs;

    JEL classification:

    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:rp2296. 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.