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Actuarial Models: 2005: Course 3 2006: Exams MFE and MLC 1: Mathematical Foundations of Actuarial Science: 2000: Education system redesign 2005: Exam P and VEE 2: Interest Theory, Economics and Finance: 2000: Education system redesign 2005: Exam FM and VEE 3: Actuarial Models: 2000: Education system redesign 2005: Exam M 4: Actuarial Modeling ...
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.
Actuarial credibility describes an approach used by actuaries to improve statistical estimates. Although the approach can be formulated in either a frequentist or Bayesian statistical setting, the latter is often preferred because of the ease of recognizing more than one source of randomness through both "sampling" and "prior" information.
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.
Financial risk modeling is the use of formal mathematical and econometric techniques to measure, monitor and control the market risk, credit risk, and operational risk on a firm's balance sheet, on a bank's accounting ledger of tradeable financial assets, or of a fund manager's portfolio value; see Financial risk management.
In 2007, the Fundamentals of Actuarial Practice (FAP) were introduced to cover real-world topics such as insurance and professionalism with readings, case studies, and projects. [14] The FAP modules superseded the former Course 5 (Application of Basic Actuarial Principles) and Course 7 (Applied Modeling).
• Encourage use of flexible curriculum content, at least in primary education, and flexible models of evaluation. [12] Sciences - Pedagogy of learning sciences should be designed to address the aims of learning science is to learn the facts and principles of science and its applications, consistent with the stage of cognitive development. To ...
In the late 1980s and early 1990s, there was a distinct effort for actuaries to combine financial theory and stochastic methods into their established models. [12] Ideas from financial economics became increasingly influential in actuarial thinking, and actuarial science has started to embrace more sophisticated mathematical modelling of ...