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75 Cards in this Set

  • Front
  • Back

0) ACC Framework:



GDP MS


General Commercial and Economic Environment


Developing the Solution


Professionalism


Monitor the Experience


Specify the Problem

0) ACC Framework:

Set Objective


Identify risks/mitigation options


Build model


Assumptions of model


Uncertainty with assumptions


Sensitivity Testing


Actual vs Expected


Characteristics of Professional


Competition


State of the economy



1) Being a Professional:



Vicar TR


Valid Views: respects others


Integrity


Communicates Well


Actuarial Advice: maintains competence


Reliable


Trustworthy: good relationship with client


Responsible: for decisions taken

1) Professionalism:

ACID GROCERS


Awareness


Competence


Integrity


Diplomacy




Good Communication


Reliability


Objectivity


Confidence, ability to maintain


Environment, sensitivity to changes


Relevance


Sensitivity

3) External Environment:



CREATE GREAT LISTS


Competition and Underwriting Cycle


Regulation and Legislation: compulsory insurance


Environmental Issues


Accounting Standards


Tax: influence cover amount


Economic Outlook




Governance: managerial decisions


Risk Management: identify/analyse/manage


Experience from overseas: replicate products


Adequacy of Capital: Basel 2/Solvency 2


Trends: demographic e.g. ageing population




Lifestyle: young vs old


Institutional Structure: mutual/proprietary


Social Trends


Technology: e.g. online banking


State & Employee Benefit



Role of Actuary:

PRIMES


Punish people who fail to meet standards


Researching issues important to public


Influencing those in power


Maintain high standards of competence


Educating the public on financial matters


Setting guidance notes



4) Aims of Regulation:

CCCCC


Consumer protection


Crime Reduction


Confidence in the system


Consumer education


Correct market inefficiencies



4) Costs of Regulation:





RR PUMAC


Direct:


Regulator administering cost


Regulated complying cost




Indirect:


Product innovation reduced: due to additional costs


Undermining of intermediaries/advisors


Market reduces own protection mechanism


Alteration in consumer behaviour: false sense of security


Competition reduced: due to additional constraints



4) Need for regulation in financial system:


CALC

Confidence: one collapse they all collapse, voluntary code of conduct broken down, encourage investment

Asymmetries of information: complex products


Long in nature: big impact on individual wealth


Complex products

4) Ensuring confidence in financial system:



MEEM


Monitor institutions solvency


Ensure fit and proper practitioners with integrity


Establish industry compensation schemes


Make market transparent

4) Reducing asymmetries on informations



SPIDER CC


Selling practices restricted


Price controls imposed


Insider tranding prevented


Disclosure of understandable info


Educating consumers


Restricting knowledge to publicly available




Consumer cooling off period


Chinese walls established

4) Functions of a Regulator:


SERVICE


Setting sanctions


Enforcing Regulation


Reviewing and influencing government policy


Vetting and registering firms and individuals


Investigating breaches


Checking capital adequacy


Educating consumers and the public

6) States roll in retirement benefits:



GREED


Government securities: supply investment securities


Regulate bodies providing benefits to ensure expectations met


Educate public about retirement provisions


Encourage/compel private provision


Direct provision of benefits to all

8) General Insurance Risks:



OCEAN PIC


Operational risk: e.g. fraud, system failure


Credit risk: failure of counterparts e.g. reinsurer


Expenses being higher than expected


Accumulations of risk: e.g catastrophes


New business strain




Poor persistency


Investment risk


Claim frequency



10) Contract design factors:



SAMPLE DIRECT FACTORS


Stakeholders: Client, Actuaries, Lawyers, Accountants, Financial backers, admin


Admin Systems: need to be simple


Marketability: more complex harder to market


Profitability: claims, expenses, investment, withdrawal, NBS


Level/form of benefit: client needs/ability to pay, risks involved


Early leaver benefits: discontinuing contract, need to be fair




Discretionary benefits: surplus shared with client, e.g. with profits, no claims discount


Interest/needs of customers: income/assets, risk covered, attitude to risk


Risk appetite: structure meets risk needs, wide range, risk appetite of provider


Expenses vs charges: initial charge & renewal


Competition: selling through intermediaries = more competition


Terms & Conditions: no loopholes, small print


Financing: NBS, more risk = more capital, PAYG/ provisions in advance


Accounting


Consistency other products: mo more system development/training


Timing of contributions: more flexible = more expensive


Options/Guarantees: payment of premium, benefits, contact surplus, consider cost


Regulation requirements: capital, design, premium, sales method, level of u/w


Cross subsidies: high price for one group, low price for another



11) Characteristics of well-run projects:



PROJECT CRAMPS


Planning done fully: changes avoided, documentation


Risk analysis thorough


Objectives are clear


Judging/Monitoring of Development


Excellent communication


Conflict management: source of ideas


Testing at all stages




Critical path analysis: one part doesn't delay another


Relationship with external suppliers


Appropriate pace


Milestone review schedule: monitor against objectives


Performance is measured


Supportive environment

12) Contents of a written strategy document:



PROSE


Policies: financial, legal, IT


Rules and responsibilities: sponsor, 3rd parties


Objectives


Schedule (breakdown, milestones)


Expected cost plus insurance

12) Capital Project Appraisal


Initial appraisal: SPURS


Evaluating cashflow: NIPD


Identifying risks: DR RUB


Risks: PNEFCPB


Manage risk: FAT SIR


Evaluation of risk mitigation options: OFFER


Investment submission: FIRM PEN


Other considerations: HOLD ON

Synergies with other projects: sold in conjuncture


Political constraints


Upside potential


Risk/Results expected


Scares investment funds used in best way




NPV


IRR


Payback Period


DPP




Desktop analysis: new risks, further details


Risk register




Risk analysis: high level


Upside risk


Brainstorm with project experts




Political


Natural


Economic


Financial: raise capital


Crime


Project: on time/on budget/meets objective


Business: competition




Further research


Avoid: redesign


Transfer: sub-contract




Share


Insure


Reduce: frequency, severity, correlation




Overall impact on distribution of NPVs


Feasibility and cost


Further mitigation required in response to secondary risks


Effect on frequency / severity / correlation


Resulting secondary risks




Final results


Identify key residual risks


Recommendation


Mitigation strategy




Proposed method of financing


Effects on investors


Non-monetary issues e.g.synergies/political




Hunch


Optimism and bias


Last minute considerations


Doubts over feasibility




Omits knowledge owner/manager has


Not credible



13 - 19) Characteristics of investment:



I CNUT SYSTEM T


Income/Capital: i.e. cashflows




Currency


Nature


Uncertainty


Term




Security (i.e. default risk): credit rating, fixed/floating charge, income/asset cover, economy, ranking


Yield: size, real/nominal, expected vs running


Spread (i.e. volatility of market)


Term (i.e. short, medium or long)


Expenses/ Exchange rate


Marketability/Liquidity: depends on size




Tax



13) Why institutions hold cash:



POURS


Protect monetary values: for high risk-averse and liabilities are nominal


Opportunities: take advantage of investments that are only open for short amount of time


Uncertain outgo: don't want to sell assets at depressed price


Recent cash-flow: large inward income


Short-term commitments: ideal match

13) Economic situations when cash is attractive:



GRID


General economic uncertainty: cash is very stable, good for risk averse


Recession: government debt and supply of bonds increase, equity also falls


Interest rates rising: bonds and equity fall


Depreciation of domestic currency: make cash investment in foreign currency attractive



14) Theories of yield curve:

LIME


Liquidity Preference theory


Inflation risk premium theory


Market segmentation theory


Expectations theory

15) Reasons for equity categorisation:



SIDE RMS


Specialisation: analysts can't be experts in all areas


Information: e.g. industry data, presented in same way


Decision making process more structured


Economics: factors affecting one company affect all - see RMS




Resources: companies have same input costs


Markets: affected same by changes in demand


Structure: affected same by changes in interest rate

16) Characteristics of prime property:




CALL ST


Condition


Age


Location


Lease Structure




Size


Tenant Quality

16) Disadvantages of direct property investment:




MDMDMS


Marketability: time/costs to get quote, less liquid


Diversification: many properties needed


Management expertise: detailed local knowledge needed to make profit


Divisibility: not possible


Market Values: estimates are expensive


Size: properties to big for some investors

16) Advantage of direct property over property shares:



Darth Vadar Can Fight Evil


Diversification: away from equities


Volatility: less volatile in short term, however not able to gear returns


Control: more of it


Forced sales: forced to sell prop shares at bottom


Exposure: less risk exposure e.g. to development





18) Advantages of collective investment schemes:



MEDIC GD


Marketability advantages: smaller share


Expertise: in specific industry


Diversification/Divisibility: for investors with small fund/limited time


Index tracker fund: e.g. replicates performance of FTSE 100


Costs: some direct costs are avoided e.g. transaction




Gearing: mainly with ITCs so higher expected returns


Discount to NAV can vary: ability to make profit

18) Disadvantages of collective investment schemes:



Last Minute Travel


Loss of control: over individual investments


Management charges incurred


Tax disadvantages: e.g. withholding tax that can't be reclaimed

19) Attractions/Problems with overseas investment



MID MTV CATERPILLAR


Match overseas liabilities: reduce currency risk


Increase expected return: compensation for higher risk/ inefficiencies in market


Diversification: red risk - less vulnerable to downturn




Mismatch domestic liabilities


Tax


Volatility due to exchange rate




Custodian needed


Admin requirements


Time delays


Expenses Incurred


Repatriation of funds


Political problems/poor regulation


Information poorer


Language difficulties


Liquidity poorer


Accounting differences


Restrictions on foreign ownership

19) Attractions/Problems with emerging markets



RIDE RREEV


Riskiness: perceived to be higher so lower demand/prices


Inefficient markets: buy cheaply due to anomalies


Diversification: through different economies/markets


Economic growth: higher than developed country




Regulation: lose out due to insider trading/fraud


Repatriation: might be taken away (political risk)


Easier said than done: e.g. info not available


Entry problems: higher controls on foreign ownership


Volatility: small economies affected by small changes

20) Factors affecting short term interest rates:



(PIE)^2


Policy objectives: government may set bank objective, which controls interest rates to achieve it


Inflation - demand pull inflation


Economic Growth - low IR = more investment




Pure Supply and Demand: economic activity low, demand for borrowing low


Inflation - investor want compensation i.e. positive real interest rate


Exchanges Rates - cosh push inflation



20) Factors affecting bond yields:



FIASCOES


Fiscal deficit & corporate debt issues: supply factor


Inflation & inflation risk premium: investors require compensation for both


Alternative investments: especial US gov bonds


Short term IR: fixes the short end of yield curve, uncertain effect on long end (expectations of investors e.g. inflation rises)


Cashflows of institutions: save more = more demand e.g. from change in legislation


Other: e.g. any economic news affecting above


Exchange Rate: can change overseas demand


Economy: change credit risk on default bonds - increase yield margin over give bonds


Supply and Demand: anything that affects them

20) Factors affecting the level of the equity market:



PRICE GIO TACOS


Risk Premium for equity: fluctuates depending on investors level of confidence/ views on risk


Inflation: many different effect but overall indifferent


Currency movements: affect demand for equity and profitability of exporters/importers


Expected future corporate profitability




Growth: economic growth = dividend growth


Interest Rates (real): low stimulates the economy & PV of future dividend higher


Other influences: see below




Tories: uncertain political climate


Alternative instruments: affect demand


Cashflows: more funds available = more demand


Overseas equity markets: significant correlation


Supply factors: spate of new issues

20) Economic factors on occupational property market:

GLUTS REGS


Government Controls: restrict supply


Location inflexibility: only so much in one location


Usage inflexibility: building has only one use e.g. office


Transaction costs are high


Supply lags behind demand




Real interest rates: high yields tend to push up property investment yields


Employment: unemployment = low demand for offices


Growth (economic): higher wages = more demand


Structural demand: e.g. working from home



20) Economic influences on the investment property market:

COPE PAIR


Cashflows: more people saving = more demand


Occupancy market: use GLUT REGS


Property companies' demand


Exchange Rate: affect overseas demand




Political Climate: uncertainty = price drop


Alternative Investments


Inflation: hedge against unexpected inflation as rent should increase in line with it


Real Interest rates: low IR means PV of future rents is higher so higher capital value and lower property investment yield



21) Demand for asset changes when there is a change in:

PRIOR


Preference: e.g. change in liability/regulation/tax regime, uncertain political climate, fashion/marketing/better education of new investments


Risk


Income: i.e. from institutional investors


Other investment prices: as investments are substitute goods


Return

23) Valuation of individual investments:



SHAM FADS


Smoothed market values - take average


Historic book value: price originally paid


Adjusted book value: to reflect movements in value


Market Value: varies constantly, objective




Fair Value: knowledgeable


Arbitrage Value: replicating investment with combination of other investments


Discounted Cashflows: future dividend stream - need discount rate


Stochastic Models: distribution



25) Factors influencing investment strategy:





SOUNDER TRACTORS


Size of assets (absolute/relative) : extent of mismatching


Objectives


Uncertainty of liabilities: need to hold more cash


Nature of liabilities: if real what type of inflation


Diversification: if small, invest in CIS


Existing Portfolio: cost/difficult in rebalancing it


Return (expected in long-term)




Tax treatment of assets/investor


Regulation: see TECH SCAM


Accrual of liabilities in the future


Currency of existing liabilities


Term of existing liabilities


Other funds strategies (competition)


Risk appetite: depends on provider



26) Factors influencing investment strategy (individuals):



DRILLED


Diversification: reduce specific risk


Risk Averse: don't like volatility


Income to live on vs growth for future


Low free assets: constrains ability to mismatch and take risk


Level of information/expertise is low


Expenses are higher when investing small amounts


Direct investment not possible in some asset classes

27) Regulatory limit on investments:



TECH SCAM


Types of asset that can be invested in


Extent of mismatch allowed


Currency match assets and liabilities


Hold certain assets e.g. Gilts




Single counter-party maximum exposure


Custodian of assets


Amount of any one asset used to demonstrate solvency


Mismatch reserve



28) Problems with Pure Matching/ Immunisation:



TIT FURRIES


Timing/Amount of liabilities may not be known


Initial income from the asset is too large


Term of asset not long enough




Flat yield curve assumed


Upside risk


Real/Uncertain liabilities not allowed for


Rearrangement/adjustments costs


Indefinite timing of asset proceeds and liability outgo


Existence of assets with suitable durations


Small changes in IR assumed

29) Factors in assessing different models:



FENCED


Fit for purpose


Expertise available in-house


Need flexibility


Cost of each option


Expected number of times used: if just once, build in-house


Desired accuracy



29) Requirements of a good model:



VARIABLE CRISPS CARD


Valid


Adequately documented


Robust


Input parameters appropriate


Arbitrage free


Behaviour reasonable


Length/expense of run not too high/low


Easy to understand




Communicable workings and outputs


Reflects risk profile of contracts modeled


Independent verification of outputs


Sensible joint behavior of variables


Parameters allow for all significant features


Simple but retains key features




Clear results


A range of implementation methods


Refineable


Developable





29) Advantages of deterministic/stochastic:



SEC FOCUS


Scenarios: easy to see what ones have been tested


Easy to design, build and run: cheaper and quicker


Communicable: to non-technical audience




Financial guarantees/options: better for modelling these: take up rates and guarantees biting


Outliers/extremes - e.g. can see 1 in 200


Correlation allowed for between variables


Uncertain allowed for in variables: identify risks


Scenarios: wide range tested - see which ones are profitable

30) Design factor for data systems:





Quality and quantity of data: good mango control, consistency between proposal and system to reduce errors


Users of data and their requirements should be considered: e.g. actuaries, management, u/w; single integrated system


Other: costs of system, training of staff, flexibility of system


Checks on data: see STAMPED

30) Uses of data:



SIR MAPEMAP


Statutory returns


Investments


Risk Management




Management information


Accounts


Pricing


Experience analysis/statistics


Marketing


Administration


Provisions

30) Sources of data:



TRAINERS


Tables: need to make adjustments for own exposure and trends


Reinsurers: good for new products


Abroad


Industry: e.g. for mortality although adjustments need to be made


National statistics: economic forecasts


Existing products: business volume and mix e.g. age, sex; withdrawal info, not good for mortality


Regulators returns and accounts


Similar products

30) Problems with industry data:



DR DONEQ


Detail insufficient


Risk factors coded in different ways




Differences from company to company: e.g target market, u/w, terms, geography, sales channel


Out-of-date


Not everyone contributes: lack of credibility


Errors


Quality: depends on that of contributors

30) Checks on data:



VACHE


Value of assets and liabilities is appropriate


Accounting period: correct for any event's associate income/expenditure


Complete: no unrecorded assets/liabilities


Held: asset/liability held on given date


Exists: asset/liability exists on given date

30) Checking assertions made by data:



STAMPED


Spot checks: blanks, unusual/invalid entries


Third parties: investment managers hold same record


Averages: sensible compared to last valuation


Sum assured: goes up by inflation


Premiums: depends on inflation, target market, level of cover


Membership data vs accounts


Investment: asset data vs accounts, check investment income


Pension: membership data vs accounts, check contributions and benefits


Previous data + movements = new data


Check #policies/members, premiums, benefits


Deed audits



31) Factors to consider when setting assumptions



FRANC


Financial significance: i.e. how each one will affect profitability


Regulatory constraints


Application: is it to price or reserve


Needs of client


Consistency between various assumptions

31) Using past data to set future assumptions:



QQ BEST ARCHER


Quantity of data insufficient: if provider small, new, recent design changes


Quality: not at correct level, data systems poor/unreliable, mngt control system poor




Balance of homogenous groups underlying data may be different: distribution channels, geography, target market


Economic situation may have changed


Social conditions may have changed


Trends over time: medical, demographic




Abnormal fluctuations


Random fluctuations


Changes in regulation


Heterogeneity within the group to which the assumptions will apply


Errors in data/ out-of date/not appropriate: excess, waiting/deferred period, exclusion clause, max level benefit, additional benefits


Recording differences: e.g. categorisation of smoker



35) Reasons for calculating provisions:


BAD MEDIC



Benefit improvements for a benefit scheme


Accounts and reports – published and internal


Discontinuance / surrender benefits



Mergers and acquisitions


Excess of assets over liabilities and so whether discretionary benefits can be awarded


Disclosure information for beneficiaries


Investment strategy


Contribution / premium setting


Statutory solvency reports


37) Information to be disclosed:


DISCLOSURE



Director's pension costs


Investment strategy and performance


Surplus/deficit arising in last year/accrued to date


Calculation methods and assumptions


Liabilities accrued over year/to date


Options and guarantees


Sponser's /members contribution obligation


Uncertainties: risks


Rights on wind up


Expenses

37) Reasons why disclosure is important:


SIMMERS



Sponsor is aware of financial significance of benefits


Informed decisions can be made


Mis-selling is avoided


Manages the expectations of members


Encourages take up


Regulatory requirement


Security of scheme improved as sponsor / trustees are made more accountable


38) Reasons for analysing surplus:



DIVERGENCE


Divergence of actual vs expected (show financial effect/significance of)


Information to management/accounts


Variance of whole = sum of variance from individual levers


Experience monitoring to feedback in ACC


Reconcile values for successive years


Group into one-off/recurring sources of surplus


Executive remuneration schemes (data for)


New business strain (show effects of)


Check on valuation assumptions and calculations


Extra check on valuation data and process

39) Cannons of lending:




CASPAR


Character: competent, trustworthy, look at references


Ability to pay back


Security: credit rating, margin built into assumptions


Purpose: what project, is it ethical


Amount


Risk vs reward: alternative investments



40) Inappropriate Advice:



CRIMES


Complicated products: not understood policy wording/cover


Rubbish/incompetent advisor: e.g. from no training


Integrity of advisor: e.g. on commission


Models/parameters wrong


Errors in data relating to customer


State encouraged but inappropriate: e.g. covering something already provided by state

41) Criteria for insurability:

MUD PIS


Moral Hazard


Ultimate limit on liability


Data - so loss can be estimated




Probability(event) is small


Independent risks


Similar risks can be pooled so the variance is reduced



42) Benefits of good risk mngt process:



DISCO RAGE


Determine cost-effective means of risk transfer


Improve job security and reduce variability in pay


Stability and quality of business improved


Confidence to stakeholders that business is managed well


Opportunities arising from natural synergies




Reflect the inherent level of risk in product prices


Avoid surprises


Growth improved by exploiting risk opportunities


Earlier risk detection means they're cheaper and easier to deal with

43) Reasons for underwriting:



SAFER


Substandard lives: identify and offer terms - increase premium, decrease benefit, excess, exclusion clause, decline cover


Anti-selection avoided


Financial u/w to reduce risk of overinsurance on large policies


Experience does not depart too far from expected in pricing basis


Risk classification to ensure that all risks are treated fairly

44) Reasons for using reinsurance:



SAD LIFE


Smooths results


Avoid large losses


Diversification




Limit exposure to risk: single event/aggregation


Increase capacity to accept risk


Financial assistance


Expertise

44) Possible reasons for using ART:



DESCARTES


Diversification


Exploits risk as an opportunity


Solvency improves / source of capital


Cheaper cover than reinsurance


Available when reinsurance may not be


Results smoothed


Tax advantages


Efficient risk management tool


Security of payments improved

46) Needs of Capital



REG CUSHION


Regulatory solvency purposes


Expenses of developing new business: setting up admin/IT, collecting premiums


Guarantees and options




Cashflow mismatching


Unexpected events and adverse experience


Smooth results


Help demonstrate financial strength and attract business


Investment freedom


Opportunities


New business strain

Why insurers reinsure: DEFLATORS

Diversification


Expertise (underwriting + data)


Financial assistance


Limitation of large losses


Accumulations


Tax Benefit


Opportunity to write more/larger risks


Rates may be low


Smoothing of results



Costs in setting up and managing:


RAPID COST

Renewal admin e.g. collecting premiums


Asset management


Profits


Initial cost i.e. setting up a new record


Design




Commission


Overheads


Sales & advertising


Terminal e.g. paying benefits



Ways of mitigating risk:


STAIRS

Share the risk with party with better control


Transfer


Avoid


Insure


Redesign product/ reduce profitability


Study risk further

Contents of investment submission:


CRAMPS FRADDS

Cat risk and how proposed to manage them


Residual risk and how be managed


Alternative projects


Mitigation methods of key risks


Political factors that might affect the decision


Synergies with other projects




Financial methods


Results (financial projections)


Assumptions


Distribution of NPVs


Definitions & Scope of project





Reason shares categorized by industry:


FIES


Factors affecting one company likely to affect others with same sector


Information (same source, industry statistics)


Expert


Structure (decision making)



Reason why institutions don't invest in residential property: Q SPITTLE

Quality of tenant (poor)




Size of investment (too small)


Political interference (rent controls)


Image (poor public image of landlord)


Tax disadvantage


Turnover of tenants (regular)


Legislation (rights of way)


Expenses (relatively high per unit)



Use of Indices: HEM BINDS


History of market movements and levels


Estimating future market movements


Measure of short term movements




Benchmark against: investment performance


Index-tracker funds


Notional portfolio valuation


Derivative instruments


Sub-sectors analysis



Use of govt bond indices: CASS


Comparison between dividends yields


Approx valuation of fixed-interest portfolio


Structures - picture of general yields structures


Standards against which yields on other investments can be assessed

Reasons why property indices are rare:

SHUT VICE

Subjective Valuations

Heterogeneity makes it more difficult to get price data


Uniqueness of each property


Time between valuations




Value only known when property is sold


Infrequent sales


Confidential prices


Expensive valuations

Dividend discount model - assumptions:


GAP TIE

Growth rate: annual


Annual dividends


Perpetuity




Taxes ignored


I independent of when return is actually earned


Expenses ignored

Property DCF valuation - things to consider:


DRIVE GT

Depreciation: allow for refurbishment costs


Running cost: maintenance


Interest rate for valuation: reflect riskiness


Voids: assess current tenants


Expiry of lease - residual value on expiry




Growth in rack rents


Tax