Underwriting cycles in property and liability insurance: An empirical analysis of industry and by-line data.

SelectedWorks Author Profiles:

Gary A. Patterson

Document Type


Publication Date


Date Issued

January 1998

Date Available

August 2014




Using industry and by-line data, we examine the causes of insurance cycles in a vector autoregressive model. Some of the important findings are summarized below. First, the uncertainty variable explains significant portions of forecast errors of premiums. Second, the significant factors that determine premiums are different for different lines. Third, investment incomes in general are more important for long-tail lines than short-tail lines. Evidence on the response of premiums to shocks suggests that all one-time shocks to variables tend to be relatively permanent. The overall results seem to imply that no single hypothesis is able to explain the insurance cycle.


Citation only. Full-text article is available through licensed access provided by the publisher. Published in Journal of Risk and Insurance, 65, 539-562. Members of the USF System may access the full-text of the article through the authenticated link provided.




Wiley-Blackwell Publishing, Inc.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.