Ad
related to: principles of actuarial modelling class 12
Search results
Results From The WOW.Com Content Network
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 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 ...
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.
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.
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.
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.
The model is mainly in use for actuarial work and asset liability management. Because of the stochastic properties of that model it is mainly combined with Monte Carlo methods. Wilkie first proposed the model in 1986, in a paper published in the Transactions of the Faculty of Actuaries. [1] It has since been the subject of extensive study and ...