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
Coverage in the event that, while practicing the profession of druggist, an act or omission is committed resulting in bodily injury, personal injury, and/or property damage to a customer. ...
Periodic payments to an injured person or survivor for a determinable number of years or for life typically in settlement of a claim under a liability policy. Terms may include immediate ...
Quantitative measurement of the total costs (losses, risk control costs, risk financing costs, and administration costs) associated with the risk management function, as compared to a ...
Property acquired before marriage by gift, by inheritance, or bought with separate monies. ...
Act that provides new funding for the Bank Insurance Fund and enhances the safety and soundness of the financial system. The FDICIA includes the Foreign Bank Supervision Enhancement Act ...
Deductible, applied to every loss, expressed as a percentage of that loss. As the loss increases, the deductible amount increases. ...
Type of coverage in which an insured's own policy provides indemnity for bodily injury and/or property damage without regard to fault. In many instances it is difficult if not impossible to ...
Balance sheet and profit and loss statement of an insurance company. This statement is used by State Insurance Commissioners to regulate an insurance company according to reserve ...
Action by the owner of a cash value policy to relinquish it for its cash surrender value. Since the depression of the 1930s, companies have reserved the right to delay payment of a cash ...
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