Final ST1 Flashcards
Why do an Analysis of Surplus
We do an AoS in valuation runs, which use data.
“Independent, one-off financial trends”
Independence - independent check on valuation data and process
One-offs - identify non-recurring components of surplus
Trends - give info on trends in experience of company
Financial effect of Differences between valuation assumptions and experience
Financial effect of writing NB
Why do an Analysis of EV?
Big Mother Fucking Reptiles are MIA
MI- Provide MI
Accounts - Provide detailed information for published accounts
Bonuses - Help set exec remuneration
M&A
Reconcile values for successive years
FinCad - Validate calcs/assumps/data used
What do we validate and what do we check in AoS and AoEV? What is constant between the two?
AoS - check - independent check of valuation process and data
AoEV - validate C(alcs)A(ssumptions)D(ata) used
Data is the constant value
Reasons to calculate technical reserves?
MIAnAmAR
M&A value
Investment strategy influence
Accounts - Liabilities shown in published accounts
Accounts - Liabilities shown in solvency supervision accounts
Accounts - Liabilities show in internal management accounts
Reinsurance arrangements assessment
Give the wording for the accounts stuff in ‘reasons to calculate technical reserves’
Liabilities shown in IMPS accounts
What are the principles of investment?
a) . Select investments appropriate to NTC of liabilities
b) . These should be selected to maximise overall return on assets (investment income + capital gains)
c) . The extent to which (a) can be departed from to meet (b) depends, inter alia, on extent of company’s free assets and risk appetite
What’s the quick way to think about POI?
A appropriate to N/T/C of L, maximise overall return if enough money and within risk appetite
Reasons to reinsure
SAD LIFE Nife (RST) Smooth results Avoid single large losses Diversify risk Limit exposure to risk Increase capacity to accept NB volumes Financial assistance Expertise Regulatory/Solvency/Tax Arbitrage
Formula vs Cashflows
Formula (SS QE)
Short term e.g. PMI
Simple application
Quicker to run
Easy to check/audit
Cashflow
Long term e.g. LTCI
Multi-state modelling possible
Stochastic models possible e.g. Option/guarantee costs
To overcome formula problems
Formula problems
Cashflow timing not accurate
Assumptions/returns varying over time not possible (stoch)
Negative net cashflows no possible
Accumulation of reserves not possible
18 Risks
Group 1
Morbidity/mortality - parameter/model/random fluctuations
Lapse
Expenses and expense inflation
Commission/clawback
Group 2
Ops risk->fraud risk->Reputational risk
Option take up risk
Group 3 - NB volume/mix
Group 4 - Regs/legs/tax
Group 5 - Counterparty default risk/competition
What are the distribution channels?
- Insurance intermediary (broker)
- Tied agent
- Own salesforce
- Direct marketing - press/mailshot/telesales/internet
- Worksite marketing
What is EV?
PV future shareholder profits in respect of EB plus release of shareholder owned net assets
Where net assets are assets held over those required to be held to meet liabilities
10 reserves, which ones are different and the same?
Different:
PV future claims + expenses - premiums LT
Guarantee/option cost LT
CIT ST
Equalisation/catastrophe ST
Same:
UPR (unearned premium reserve) e.g. £1200 paid for year, but only 1 month gone, so 1100 UPR
URR (unexpired risk reserve) - e.g. an amount over 1100 above, voluntary, held if don’t think 1100 sufficient for risk (mispriced)
OCR
IBNR
IBNER
Mismatch
Risks (7 groups)
Data (own/insurance/population/overseas)
Claim amounts (by treatment/day/length/medical inflation)
Claim rates (inception/termination)
Mortality/morbidity -> non-disclosure -> early screening/diag
Lapse -> anti-selection
Commission/clawback
Expense and inflation
Ops Management actions Fraud Internal audit Rep -> customer service Options/guarantees
Counterparty (distribution/reinsurance/outsourcing)
Competition
PAC risks - where P e.g IT failure
Catastrophe
NB vol/mix SSTN
Assets
Inv performance
Mismatch
Liquidity
Regs/legs/tax
What are the 5 main headings for data checks as a risk management tool? Give 2-3 points on each
a) Accuracy - Recording accuracy
1. Internal and external audit to consider this
2. Proposal form/admin system similar format
b) Vetting/spot checks - Regular vetting/spot checks
1. Compare paper (or electronic if phone underwriting) vs. facts stored periodically
2. Check policy records end to end, especially if passed between multiple systems
c) Acceptance - Controls on data acceptance
1. In-built checks to not allow erroneous input e.g age>120
2. If error isn’t an error, then only staff at specified status allowed to overwrite
3. Audit trail kept of these
d) Compulsory fields
1. Certain mandatory firleds
2. e.g. age/sex/benefit
3. Claim not accepted if no policy number for cross checking
e) Staff training
1. Encourage feedback from input staff
2. Close liaison between input staff and software developers
3. Develop culture of accuracy and ability to spot wrong information