IDEAS home Printed from https://ideas.repec.org/p/bbv/wpaper/2608.html

Global | Evaluando el Riesgo Geopolítico Estructural
[Global | Assessing Structural Geopolitical Risk]

Author

Listed:
  • Miguel Jiménez
  • David Sarasa Flores
  • Alfonso Ugarte

Abstract

This paper introduces a novel measure of Structural Geopolitical Risk (SGR), designed to capture the long-run conditions that shape the likelihood of geopolitical tensions, conflicts, and fragmentation. This paper introduces a novel measure of Structural Geopolitical Risk (SGR), designed to capture the long-run conditions that shape the likelihood of geopolitical tensions, conflicts, and fragmentation.

Suggested Citation

  • Miguel Jiménez & David Sarasa Flores & Alfonso Ugarte, 2026. "Global | Evaluando el Riesgo Geopolítico Estructural [Global | Assessing Structural Geopolitical Risk]," Working Papers 26/08, BBVA Bank, Economic Research Department.
    • Handle: RePEc:bbv:wpaper:2608
    as

    Download full text from publisher

    File URL: https://www.bbvaresearch.com/wp-content/uploads/2026/06/Wp_26_08.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • F51 - International Economics - - International Relations, National Security, and International Political Economy - - - International Conflicts; Negotiations; Sanctions
    • F52 - International Economics - - International Relations, National Security, and International Political Economy - - - National Security; Economic Nationalism
    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

    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:bbv:wpaper:2608. 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: OSCAR DE LAS PENAS SANCHEZ-CARO (email available below). General contact details of provider: https://edirc.repec.org/data/ebbvaes.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.