IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v58y2022i11p3076-3089.html
   My bibliography  Save this article

Guaranteed Rate-setting Behavior, Life Insurance Premium, and Policyholder Protection

Author

Listed:
  • Jyh-Horng Lin
  • Jyh-Jiuan Lin
  • Xuelian Li
  • Zehe Song

Abstract

This study explores the determinants of an insurer’s guaranteed rate based on a contingent claim model. According to the model development, we structure and estimate the guaranteed rate setting and policyholder protection equations. A time-series approach explains the guaranteed rate-setting behavior and insurance stability captured by policyholder protection from 1990 to 2018. The evidence suggests that derivatives, life insurance premiums, administrative costs, and federal income tax affect the insurer’s guaranteed rate-setting behavior. Increasing life insurance premiums and administrative costs in asset-liability matching management significantly enhance policyholder protection, contributing to insurance stability.

Suggested Citation

  • Jyh-Horng Lin & Jyh-Jiuan Lin & Xuelian Li & Zehe Song, 2022. "Guaranteed Rate-setting Behavior, Life Insurance Premium, and Policyholder Protection," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(11), pages 3076-3089, September.
  • Handle: RePEc:mes:emfitr:v:58:y:2022:i:11:p:3076-3089
    DOI: 10.1080/1540496X.2022.2026769
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1540496X.2022.2026769
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1540496X.2022.2026769?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.

    Citations

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


    Cited by:

    1. Chen, Shi & Huang, Fu-Wei & Lin, Jyh-Horng, 2023. "Green technology choices under the cap-and-trade mechanism with insurer green finance in a dragon-king environment," Energy Economics, Elsevier, vol. 117(C).
    2. Li, Xuelian & Chen, Lingzhi & Lin, Jyh-Horng, 2023. "Cap-and-trade mechanisms, green technology investment, and shadow insurance in a black swan environment," Energy Economics, Elsevier, vol. 124(C).

    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:mes:emfitr:v:58:y:2022:i:11:p:3076-3089. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MREE20 .

    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.