Search results
Results from the WOW.Com Content Network
Historically, actuarial science used deterministic models in the construction of tables and premiums. The science has gone through revolutionary changes since the 1980s due to the proliferation of high speed computers and the union of stochastic actuarial models with modern financial theory. [1] Many universities have undergraduate and graduate ...
The Actuarial Society of America was the first actuarial professional association in North America, founded in 1889 with only 38 members and headquartered in New York City. Initial members were included by invitation, but the organization soon adopted a system of examination for qualification, with the first Fellow to qualify via exams joining ...
The actuarial control cycle is a specific business activity which involves the application of actuarial science to real world business problems. The actuarial control cycle requires a professional within that field (i.e., an actuary ) to specify a problem, develop a solution, monitor the consequences thereof, and repeat the process. [ 1 ]
The following outline is provided as an overview of and topical guide to actuarial science: Actuarial science – discipline that applies mathematical and statistical methods to assess risk in the insurance and finance industries.
The first actuarial organization in North America was the Actuarial Society of America, founded in 1889 in New York City and included four Canadians among its 38 charter members. The original organization of actuaries in Canada, the Actuaries Club, was founded in 1907 with 24 charter members, all actuaries living and working in Toronto .
An enrolled actuary is an actuary enrolled by the Joint Board for the Enrollment of Actuaries under the Employee Retirement Income Security Act of 1974 (ERISA). [1] Enrolled actuaries, under regulations of the Department of the Treasury and the Department of Labor, perform a variety of tasks with respect to pension plans in the United States under ERISA.
In actuarial science and applied probability, ruin theory (sometimes risk theory [1] or collective risk theory) uses mathematical models to describe an insurer's vulnerability to insolvency/ruin. In such models key quantities of interest are the probability of ruin, distribution of surplus immediately prior to ruin and deficit at time of ruin.
In credibility theory, a branch of study in actuarial science, the Bühlmann model is a random effects model (or "variance components model" or hierarchical linear model) used to determine the appropriate premium for a group of insurance contracts. The model is named after Hans Bühlmann who first published a description in 1967.