The rating methodology used will depend on (3)
2 Components of the risk premium
- a LOADING for catastrophe and/or large loss claims (which may or may not exist in the previous data)
5 Components of the office premium
Components of the premium:
2 “Other considerations”
- PRACTICAL considerations concerning policy conditions, underwriting process, competition, etc.
9 Steps involved in calculating the pure risk premium
3 Circumstances in which external data is especially useful:
5 Reasons for changes in the risk
Because of changes in:
4 Examples of statistical approaches used to derive a risk premium
What is mean by subdivision of data
Where possible and statistically relevant, we split the data into risk cells.
I.e. we subdivide the total available data into homogeneous subsets based on factors that contribute to higher or lower claims experience (eg age, gender, car, model, etc).
Why is data subdivided
- Helps us to avoid cross-subsidies.
If the experience in the ideal base period does not appear to be typical, we should (3):
To help assess what adjustment may be needed, we could (3):
4 Matters in which significant inconsistencies may arise w.r.t. historical data
4 Environmental changes that might affect claims experience
Time delays that may result in adjustments to the data may occur due to (6)
2 Ways of incorporating the cost of reinsurance into a premium rate
3 Stages involved in determining the required expense loadings
5 Theoretical types of expenses
3 Factors to consider when selecting an assumed rate of investment return
Qualitative data is used when quantitative data are (4)
Inadequate data may distort calculations due to errors in (2)
If we adopt a deficient set of rates as a result of faulty data, the insurer might (3)
Discuss the initial analyses which should be conducted on the data and explain why they are done before conducting a GLM analyses for pricing with multiple rating factors.
Two-way analysis of variance
Investigate each factor and the correlations between any two of the factors.
This can explain the variability better than a one-way analysis.
A tow-way analysis may reveal that two factors are highly correlated so that only one should be included in the pricing factors.