F
fischer
Member
Hi
Is there a specific technique to deal with questions on Monitoring experience? A general structure for answers to these questions? Headings that the examiners like to see?
I have stuck in a structure that I will use when dealing with any question from this section (I set it looking at past papers). Could someone have a look and suggest additions or bits to knock off, please?
For monitoring item of experience "X"
Standard opening statement-
Results of analysis should not be used blindly.
Consider
- circumstances over period (social, political, economic, competition, reg)
- if it is possible to take a view on likely future experience using past data
- trends or random variation
Then talk on data issues (ch30 - Data & ch 31 - Setting assumptions)
Data issues and how they affect "X"
- Credibility and Reliability of data
- Relevance and Judgement required (adjustments - eg inflation)
- Changes in homogenity in data over time
- Changes in experience over time
- Changes in recording patterns over time
- Fluctuations - random, abnormal
- Errors
Finally round-off with
- New business mix and New business volumes and the effect on "X"
- Allowance made for future experience but
- not too prudent bc....
- not too optmistic bc....
Is there a specific technique to deal with questions on Monitoring experience? A general structure for answers to these questions? Headings that the examiners like to see?
I have stuck in a structure that I will use when dealing with any question from this section (I set it looking at past papers). Could someone have a look and suggest additions or bits to knock off, please?
For monitoring item of experience "X"
Standard opening statement-
Results of analysis should not be used blindly.
Consider
- circumstances over period (social, political, economic, competition, reg)
- if it is possible to take a view on likely future experience using past data
- trends or random variation
Then talk on data issues (ch30 - Data & ch 31 - Setting assumptions)
Data issues and how they affect "X"
- Credibility and Reliability of data
- Relevance and Judgement required (adjustments - eg inflation)
- Changes in homogenity in data over time
- Changes in experience over time
- Changes in recording patterns over time
- Fluctuations - random, abnormal
- Errors
Finally round-off with
- New business mix and New business volumes and the effect on "X"
- Allowance made for future experience but
- not too prudent bc....
- not too optmistic bc....