IDEAS home Printed from https://ideas.repec.org/a/eee/intfin/v102y2025ics1042443125000526.html
   My bibliography  Save this article

An intertemporal international asset pricing model: Theory and evidence

Author

Listed:
  • Jacoby, Gady
  • Liao, Rose C.
  • Wang, Yan
  • Wu, Zhenyu

Abstract

We utilize an intertemporal CAPM (Merton, 1973) framework to examine how exposure to currency risk is priced in foreign equity markets. We identify the fundamental determinants of foreign equity return and foreign currency loadings with respect to a world equity factor and global currency risk factor. To capture the time-varying nature of risk exposures, we employ the mean-reverting dynamic conditional correlation (DCC) model of Engle (2002) to estimate conditional covariances and betas. Our regression results show that estimated risk-return coefficients on betas and covariances are significant and robust to subsample tests based on emerging markets and developed markets. We also show that the risk-return tradeoff on foreign equity returns and relative risk aversion vary cyclically across financial stress regimes.

Suggested Citation

  • Jacoby, Gady & Liao, Rose C. & Wang, Yan & Wu, Zhenyu, 2025. "An intertemporal international asset pricing model: Theory and evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 102(C).
  • Handle: RePEc:eee:intfin:v:102:y:2025:i:c:s1042443125000526
    DOI: 10.1016/j.intfin.2025.102162
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1042443125000526
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.intfin.2025.102162?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    ICAPM; Exchange rate risk; Dynamic conditional correlation;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    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:eee:intfin:v:102:y:2025:i:c:s1042443125000526. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/intfin .

    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.