IDEAS home Printed from https://ideas.repec.org/a/wri/journl/v34y2011i1p18-33.html
   My bibliography  Save this article

Is Efficiency an Important Determinant of A.M. Best Property-Liability Insurer Financial Strength Ratings?

Author

Listed:
  • David L. Eckles
  • Steven W. Pottier

Abstract

Insurance regulators, policyholders, and investors are interested in the ability of insurers to fulfill their financial obligations. Economic and finance theory suggests that, all else equal, more efficient firms should be financially stronger firms. Efficiency scores represent a quantitative measure that summarizes in a single value the relative effectiveness of a firm in achieving a stated objective, such as cost minimization. However, efficiency scores do not explicitly measure firm risk. Efficiency scores compare firms with similar inputs and outputs whereas insurer financial strength ratings compare insurers within a particular segment of the industry, such as property liability insurance, even though inputs and outputs may differ greatly. The purpose of this study is to examine the relation between insurer efficiency and insurer financial strength ratings. We find firm efficiency scores are a weak predictor of financial strength ratings in that they do not provide significant incremental predictive power over a model with even a few widely recognized rating determinants. Further, efficiency scores perform no better at predicting ratings than simply predicting ratings based on the modal rating category. These results suggest that users of efficiency scores should not use these measures to make inferences regarding insurer financial strength

Suggested Citation

  • David L. Eckles & Steven W. Pottier, 2011. "Is Efficiency an Important Determinant of A.M. Best Property-Liability Insurer Financial Strength Ratings?," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 34(1), pages 18-33.
  • Handle: RePEc:wri:journl:v:34:y:2011:i:1:p:18-33
    as

    Download full text from publisher

    File URL: http://www.insuranceissues.org/PDFs/341EP.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Amelia Bilbao-Terol & Mar Arenas-Parra & Raquel Quiroga-García & Celia Bilbao-Terol, 2022. "An extended best–worst multiple reference point method: application in the assessment of non-life insurance companies," Operational Research, Springer, vol. 22(5), pages 5323-5362, November.
    2. Abhijit Sharma & Diara Md. Jadi & Damian Ward, 2021. "Analysing the determinants of financial performance for UK insurance companies using financial strength ratings information," Economic Change and Restructuring, Springer, vol. 54(3), pages 683-697, August.

    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:wri:journl:v:34:y:2011:i:1:p:18-33. 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: James Barrese (email available below). General contact details of provider: .

    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.