Acronyms Flashcards

1
Q

Desirable features of an exposure measure:

A

VENOM ADA 1-3
* Verifiable
* Easy to obtain
* Not open to manipulation
* Objective
* Measurable

  • Acceptable to the market
  • Defines the risk
  • Acceptable to the PH
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Reasons for using reinsurance

A

DASS LIFE 5-7
* Diversification
* Avoid single large losses
* Smooth results
* Solvency improvement
* Limit exposure to single events or accumulations
* Increase capacity to accept risk
* Financial assistance
* Expertise

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Regulatory influences on assets held

A

TECH SCAM 9
* Types of assets that provider can invest in
* Extent to which mismatching allowed
* Currency matching requirements
* Hold certain proportion of total assets in specific class, eg government bonds.
* …
* Single counterparty maximum exposure
* Custodianship of assets
* Amount of any one asset used to demonstrate solvency restricted
* Mismatching reserve

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Objectives of regulation

A

HEMP CREAM 9
* Help growth and competition
* Economies of scale in investment
* Mobilise long-term savings
* Protect PHs

  • Create liquidity
  • Reduce transition costs
  • Efficiency of the financial system
  • Allocate resources efficiently
  • Manage risk
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Disadvantages of regulation

A

EPIC BLOC 9
* Economies of scale fewer
* Premiums increased
* Investment return lower
* Costs

  • Barriers of entry
  • Less insurance coverage
  • Opportunity cost
  • Complex capital calculations
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Reasons UW cycle exist

A

CREED(D)S 9
* Chasing hard rates
* Reduced insurance capacity after large losses
* Ease for new entrants
* Economics of scale maintained at all costs
* Deliberate under-pricing b key players to drive comp out
* Delays between selling and assessing profitability
* Simplistic capital regimes which encourage writing more business when rates are falling and vice versa

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Uncertainty of claims experience:

A

JC CASTLED REPLICA 10
* Judicial decisions
* Crime rates

  • CATs
  • Attitude of PHs to claiming
  • Sizes of claims volatility
  • Types of cover provided
  • Latent claims
  • Escalation of claims
  • Delays -> incidents/reporting/settlement
  • RI risks
  • Economic conditions -> external environment
  • PH’s characteristics incl possible anti-selection
  • Legislation/regulation
  • Interpretation of wording
  • Currency risks
  • Accumulation risks
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Quality and quantity of data:

A

: SEMI COMA 11
* Size of company
* Existence of legacy systems
* Management and staff
* Integrity of data systems
* Class of business
* Organisation’s nature
* Method of sale
* Age
* (RI vs DW)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

IWD adv

A

PECS 11
* Pricing if no internal data
* Experience compared
* Credible
* Strategy (business)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

IWD disadv

A

HOOD C 11
* Heterogeneity
* Opt out
* Out of date
* Detail and flexibility
* Crap in crap out contributors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Sources of data

A

TRAINERS GC 11
* Tables
* RI
* Abroad contracts
* Industry wide data
* National statistics
* Experience own
* Reporting and published accounts
* Similar contracts

  • Government reports
  • CRESTA
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Data problems (historical)

A

QUERIED BEST ARCHER 11

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Quality proposal form:

A

CURVED AAI 11
* Comprehensive (all UW info and rating factor info)
* Unambiguous, well designed questions
* Relevant and Reliable information produced
* Verify key policyholder information
* Easy Coding
* Data checks before inputted into a model
* Additional information dependent on claim size
* All information on proposal, endorsement, claim form must be held
* Interpretation must be limited

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Features of good quality data:

A

COACH LUCID 11
* Completeness
* Objective and quantifiable as far as possible
* Accurate
* Consistent with previous data
* Homogonous grouping into model points
* Lowest level
o Such as date of birth rather than age at entry
* Up to date
* Checks should be able to be performed
* Integrated into one system
* Detail level and documentation appropriate
o Audit trail

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Rating analyses: for existing class

A

REP REAP 12
* Recent periods: estimate ultimate cost claims
* Existing rates: estimate profitability (referebce to recent claims experience, removing abnormal features), compare actual vs expected
* Project forward to a new rating period, make assumptionns about future claims trends and inflation

  • Review existing rating structure (relative levels of premiums charged for diff PHs), in-depth requires sophisticated models
  • External data: compare final rates
  • Adjust for lifetime value
  • Profitability of old years on new rates, to assess profitability of business on the new rates if claims exp was to be the same as previous years
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Expense analysis items:

A

COSMIC 12
* Computer costs
* One-off capital costs
* Salaries and related expenses
* Maintenance costs (heating, rent etc)
* Investment costs
* Claims handling costs

17
Q

Reinsurance analyses:

A

CRAVE CAPES 12
* CAT RI
* Reinstatements
* Amount of risk to retain
* Value for money
* Extent of accumulations

  • Cost of commutation
  • Appropriateness of cover
  • Profitability of layers
  • Effects on capital
  • Solvency of RI (credit risk)
18
Q

Main reasons for monitoring business written:

A

DIAGRAM 12
* Double check assumptions (ACC)
* Influence the market
* Assess performance vs goals
* Gain market intelligence
* Regulators satisfy
* Assist with reserving
* Manage risk

19
Q

Key policy experience items monitored:

A

CALMNESS Q 12
* Cancellations
* Alterations in premium rates
* Lapses
* Mix of business
* New business volumes
* Endorsements
* Strike rate (Quotes resulting in written business)
* Source (persistency/profitability)

  • Quotation volumes
20
Q

Features of a good system for monitoring business

A

ACCREDIT DOT 12
* Allow for key drivers
* Calculations not overly complex
* Clear results
* Results validated
* Easy to collect data
* Documented
* Inputs consistent
* Tailored output

  • Data validated
  • Output consistent over time and with other analyses
  • Timely production of results
21
Q

Investment and capital analyses:

A

RICE AD 12
* Risk assessment
* Investment policy
* Capital requirements
* Evaluate existing portfolio
* Allocate capital between classes
* Determine return on capital

22
Q

Analysis of experience: Experience analyses

A

REP PEACE 12
* Risk exposure and aggregations
* Estimation of claim trends
* PH behaviour

  • Pricing and sales of policies
  • Environmental changes
  • Anything else management require
  • Claims reserve estimation/claims experience
  • Expense analysis and allocation
23
Q

Claims analysis: main claims analyses are

A

INNER CRAP 12
* Impact/incidence of large claims
* New claim types
* Nill claims
* Expenses vs indemnity cost
* Re-opened claims

  • Changing frequency and severity
  • Recoveries on gross claims
  • Assessing accumulations
  • Partial payments
24
Q

Problems with inwards RI reserving:

A

SIGH CLUB 17
* Sparse data
* IT constraints
* Grouping of data
* Hetergoenous exposure

  • Cedants use different reserving bases
  • Longer reporting delays
  • Upwards developments of claims
  • Benchmarks less relevant

Grouping of data difficult:
Type of contract -treaty/fac
Type of cover- prop/non
Basis for cover
Line of business
Attachment point(XS)
Territory
Type of cedant

25
Q

Adjustments to data BEFORE pricing

A

TRIM RILLS CRUNCH 18
* trends
* risk
* inflation
* mix
* RI
* IBNR
* Large claims
* Light experience
* Sales channel
* Cover
* Regulation
* UW
* Nil claims
* Claims handling
* Heavy experience

26
Q

Considerations when using ILFs

A

A LAST CUT 18
* Assumptions
* Limits (nature of)
* ALAE
* Secular changes (not influenced by short-term factors)
* Trend
* Cover
* ULAE
* Territory/jurisdiction

27
Q

Advantages of original loss curves

A

SIDE 18
* Simple to implement
* Internal consistency
* Data (OLCs can be used when no credible data)
* Easy to explain

28
Q

Considerations when using exposure curves (first loss scales) for treaty pricing

additional to those when pricing directly or facultative business

A

A DISCO 18
* Availability of exposure curves
* Deductibles (treatment of)
* Insuring reinsurances
* Stacked limits
* CAT XL rating
* Original loss ratio (estimation)

29
Q

Approaches to risk loading when pricing RI

A

PRIM
* [based on target loss or combined ratio]
* [based on profit target]
* Proportion of standard deviation of expected losses
* Required return on capital (based on)
* Investment-equivalent pricing
* Marginal impact on capital

30
Q

Factors affecting choice of inflation rate

A

SLED
* Size of loss
* Location
* Excess layer or ground-up losses
* Drivers of inflation

31
Q

Important considerations when pricing stop loss

A

RITA
* Regulatory minima
* Insuring reinsurance
* Terms of the stop loss
* Amount of recoverable layer returned by cedant

32
Q

Modules in a CAT model

A

H-FIVE
* Hazard
* Financial analysis
* Inventory
* Vulnerability
* Event

33
Q

Parameters for an earthquake model

A

TAMED
* Type of fault
* Area of fault rupture
* Moment magnitude
* Elapsed time since last rupture of that fault
* Depth (focal)

34
Q

Main factors when setting investment strategy

A
  • Characteristics of liabilities
  • Asset considerations
  • External influences
  • Insurer specific considerations

A SAD CUTER INVESTOR
* Accounting considerations
* Size of assets relative and absolute
* Accrual of future liabilities
* Diversification
* Currency of liabilities
* Uncertainty of liabilities
* Term of liabilities
* Existing portfolio
* Risk appetite
* Investment objective
* Nature of liabilities
* Voluntary and regulatory restrictions
* ESG
* Solvency (statutory + internal + credit rating agencies)
* Tax treatment of investments
* Other strategies (competition)
* Return on assets

35
Q

Why capital required?

A

REG CUSHION
* Regulatory requirements
* Expneses -> start up/develoment/expansions
* Guarantees can be offered (guranteed renewal premium?)
* cashflow management
* Unexpected events cushion
* Smooth results
* help show financial strength
* Investment freedom
* oppertunities to take advanatage of (Mergers&Aquistitions)
* New business strain financing

*credit rating
*meet other stakeholders requirements such as subordinated debt

36
Q

Main data items for capital modelling

A

CRUDE CALF PUP
* Claims payment profiles (sizes, frequencies and settlement patterns)
* RI programmes
* Unpaid gross claims
* Details of operational risks (available in risk map)
* Expenses
* Credit exposures (broker balances as example)
* Asset values
* Large losses
* Future RI costs
* Planned premiums (gross and net)
* Unexpired premiums (gross and net)
* Planned RI programmes

37
Q

Main assumptions that must be set for capital modelling

A

REDUCE DOG CRITIC
* RI share of ultimate claims and RI bad debt
* Exhaustion of RI and reinsurer
* Downgrade assumptions
* Ultimate gross claims including claims management costs
* Ceded premiums
* Expenses
* Dividends
* Operational losses
* Gross written premium
* CAT claims
* Reserve movements (gross) split by COB
* Inflation
* Tax
* Investment returns split by asset class
* Claims payment profiles

38
Q

Model requirements:

A

SCARCER FILES_S_PP
* Simple enough, not too complex but adequately reflects risk profile
* Clear and complete output
o Reasonable output
* Adequately documented
* Range of implementation methods (flexible)
* Communicable
* Easy to understand by management
* Refinable and redevelopable
* Frequency of cashflows -> time horizon
* Independent verification
* Lengths of run not too long
* Expenses not too high
* Sensitivity and scenario testing applicable
* Sensible joint workings of variables -> dynamic
* Parameters appropriate
* Parameters identified and verifiable