How does the decree of massive numbers apply to insurance companies?
I need to know!
Answers:
The larger the group, the more accurately you can predict the losses of that group.
So, insurance companies have to group similar risks together, to accurately predict the losses. They need to accurately predict the losses, so they can set tolerable rates. Source(s): agent, 21+ years
http://www.hmrc.gov.uk/manuals/gimanual/…
See if this answers your quiz.
A principle that the larger the number of exposures considered, the more closely will reported losses equal the true probability of loss. This is the basis for the statistical expectation of loss, which determines premium rates.
insurance companies base there rates on actuarial numbers. This process that they use there experience of ages, sex, location, etc. to determine rates. If they are paying out more they raise rates to that group, if they are making money surrounded by an age group they may consider a rate revision. The art of actuary is using large numbers, and segmenting them to determine risk.
Related Questions:
Answers:
The larger the group, the more accurately you can predict the losses of that group.
So, insurance companies have to group similar risks together, to accurately predict the losses. They need to accurately predict the losses, so they can set tolerable rates. Source(s): agent, 21+ years
http://www.hmrc.gov.uk/manuals/gimanual/…
See if this answers your quiz.
A principle that the larger the number of exposures considered, the more closely will reported losses equal the true probability of loss. This is the basis for the statistical expectation of loss, which determines premium rates.
insurance companies base there rates on actuarial numbers. This process that they use there experience of ages, sex, location, etc. to determine rates. If they are paying out more they raise rates to that group, if they are making money surrounded by an age group they may consider a rate revision. The art of actuary is using large numbers, and segmenting them to determine risk.
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