Chapter 35-Monitoring Experience Flashcards
List reasons for monitoring experience as part of the control cycle
(6)
Update assumptions as to future experience
Provide management information to aid business decisions.
Monitor adverse trends in experience
Monitor actual compared to expected experience and take corrective actions as needed
Make more informed decisions about pricing and adequacy of reserves
Develop earned asset share
List 4 reasons a life company may need assumptions regarding future experience
(1) Model office work \+EV work \+profitability monitoring \+financial projections \+asset-liability modelling for setting investment strategy \+determining reinsurance requirements
(2) Pricing
(3) Valuations
(4) Setting discontinuance terms
List ways in which experience analysis may help provide management information and take corrective actions (5)
By helping management to identify
Profitable
+products
+sales channels
+markets
Efficient sections of business
Successful management strategies
Discuss the data required for monitoring experience
Basic requirements of good data (3)
Splitting data (2)
Period (2)
Level of detail (2)
The basic requirement is for data to be
+of sufficient volume
+consistent
+adequate to deduce trends and future experience
Data should be split into homogenous groups
+according to relevant risk factors
+balance between homogeneity and credibility
Period over which data is collected is very important
+sufficiently long time period for enough data volume
+…but too long time period, might not give info about recent experience
Level of detail depends on
volume of data available
+ideally want split at least for different contract classes
What do we mean by ‘big data’ and how have technical developments changed the insurance landscape in this regard?(2)
Give an example of big data (1)
Big data
big data essentiallly refers to large volumes of data
technical developments => insurers can handle/analyse large volumes of data more easily
Big data example
banks with insurance subsidiaries selling insurance mostly to own customers (‘bancassurers’) amass large volumes of additional data on the insurance customers eg personal spending habits and travel locations
List some advantages of big data
Allow better understanding and analysis of risks…
Develop more sophisticated and detailed risk classification…
…allowing for more accurate rating and greater ability to select preferred risks
Monitoring may help drive better experience
earlier identify changes in individual risks
or being able to intervene/influence policyholder’s behavior
List some disadvantages of big data
Reputational damage
+privacy concerns
+data protection failures
Regulation changes
+regulator preventing certain data being used
+fines for misuse of data
data issues
+collected data may be inaccurate, incomplete, or irrelevant
Modelling risk: complex models=> choice of wrong model
Expenses: collecting/analyzing data vs benefits
List the types of experience investigations an actuary might conduct (4)
Mortality and other contingencies
Persistency
Expenses
Investment return
Mortality experience
List the classifications by which data (both claims and exposed to risk) would be ideally sub-divided for the purpose of analyzing the mortality experience
Most useful classifications would be
type of contract age sex duration from entry smoker/non-smoker status medical/non-medical status source of business location
Further classifications useful if sufficient data
eg location broken down to postal code
occupation (at least broad occupational group)
List classifications by which data (both claims and exposed to risk) would be sub-divided for the purpose of analysing the persistency experience (10)
Subdivision and analysis of persistency experience data would usually be by:
(1) Type of contract
endowments usually > persistency than term assure
(2) Duration in force
usually lower at start of contract
(3) sales method
more suitable product sold => better persistency
(4) target market
more suitable product sold => better persistency
(5) frequency of premium
monthly prem=> more chance stop paying than annual prem
(6) size of premium
big annual prem may be less affordable than smaller monthly prem
(7) premium payment method
debit order persistency > cash payment persistency
(8) original term of contract
(9) gender
(10) age
usually worse experience for younger ages
Give 3 other factors, external to life company, that may also influence persistency rates (3)
What impact would they have on the persistency analysis?
External factors influencing persistency
(1) Economic situation
(2) Competitive situation of product
(3) Perceived value of product to customer
Impact on analysis
these factors wouldn’t be used explicitly in analysis
but may be used to understand/explain patterns in experience
Outline how full withdrawal rates can be determined for each homogeneous group of lives analysed (7)
For each homogeneous group
Divide contracts issued in company’s last financial year into corresponding number that survive in-force until first policy anniversary
to give first-year persistence rate
first year withdrawal rate = 1- first year persistency rate
exclude deaths and maturities from calc (if material)
Repeat for subsequent years to obtain second-year, third year, etc withdrawal rates
by looking at number surviving from number of contracts, in each group, that have their first, second, etc policy anniversary in last financial year
An expense investigation can be used be used to produce the following results?
Consider desired end results through purpose of investigation
Contribution method
analyse expenses into policy groups so can apportion dividend per group
Asset shares
terminal bonuses/terminal dividends, or surrender values…
…historical expenses to be apportioned between different policy types
Pricing/reserving
essential for policy’s fair share of insurer costs are established, so correct premiums/charges can be levied
What is meant by a direct expense and an overhead expense? (2)
Direct vs overheads
Direct expenses are usually variable and can be directly attributed to a product or policy
Overheads are the balance of expenses, relating to general management and service departments which are not directly involved in new business or maintenance activities
List 4 catergories into which non-commission expenses are split for the purpose of an expense analysis (4)
For expense analysis we consider following 4 non-commission expenses splits
initial expenses (new business expenses),
renewal (maintenance) expenses,
termination expenses,
investment expenses