Moving Average Rating Method
Procedure, in insurance, used in time series analysis to smooth out irregularities in projections of loss expectations. Irregularities to be smoothed out include: loss experience that is not homogeneous, loss experience from early policy years not representative of current loss experience, adverse selection by policyholders, changes in loss experience due to changing social values, and loss experience distortion due to misleading averages.
Popular Insurance Terms
Return of a percentage of premium paid by a business firm if its loss record is better than the amount loaded into the basic premium. ...
Coverage for routine personal legal expenses, including probate, criminal defense, and divorce. ...
Falsification of birth date by an applicant for a life or health insurance policy. If the company discovers that the wrong age was given, the coverage will be adjusted to reflect the ...
INSURANCE health insurance policy providing coverage for an insured's medical expenses except those that are specifically excluded. This may be the most advantageous medical expense policy ...
A procedure in which the employer has absolute liability for the injuries incurred by the employee and the employee does not have the right to sue the employer for those injuries suffered. ...
Means used by a direct fire underwriter to protect against accumulation for a fire account, as well as against extremely large fire account liability. For example, heavy liabilities under ...
Act first passed by the United States Congress in 1981 and later amended in 1986 that provides for the establishment of risk retention groups whose purpose is to sell product liability ...
Policy that comes into existence or adjusts the amount of coverage to provide protection for newly acquired or increasing values of an insured's real or personal property. ...
Single limit insurance program remaining in force for several years as compared with traditional insurance programs where there is a series of annual limits. The LUMP insurance program is ...
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