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Earnings by Source John McGarry PhD Kevin Pledge FIA 28 June 2002 Canadian Institute of Actuaries Annual meeting

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Agenda  Introduction to EBS  EBS and Data Warehousing  Summary of Proposed Method  Formulae Development  Sources of Earnings  Conclusion

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Introduction to EBS

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What is EBS?  Used to explain earnings  Reconcile assumptions  Can be based on Statutory or Management Reserves  EBS is a Management Tool

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Explains Earnings by identifying  Impact of Sales  Variations from Assumptions  earnings implicit in the reserves  variation in rates not amounts

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Statutory Reserve Basis  Allows impact of statutory reserves on earnings to be explained

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Management Reserve Basis  Allows sources to aid in managing business  The impact of sales is the profit at issue  The variations can indicate  assumptions need to be changed, or  action may need to be taken (withdrawals, expenses, investments, reinsurance).

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EBS as a Management Tool  Decision Tool  Profitability of New Business  Impact of Reinsurance  Profitability by Product Line, Demographic or Sales Office  Profit is a collaborative effort  Accessible  Understood across organization  Objectives and Goal Setting

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Limitations of current approaches  Often analyzed at fund level, with a substantial degree of approximations.  Generally not divisible over time  Approximations may not be understood  Static – prevents analysis by product, sales office or demographic  Different approaches by line of business

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Compounding Assumptions  Experience in earlier periods impacts perceived results in later periods  Illustrated with simple example  Mortality as expected  Withdrawals 50% of expected for 1st three quarters  Expected values in Q4 based on artificial population

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Projection at outset vs changing 88,000 90,000 92,000 94,000 96,000 98,000 100,000 102,000 Start Q1 Q2 Q3 Q4 expected actual Understatement of Inforce

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Actual vs. Expected Mortality 340 350 360 370 380 390 Q1 Q2 Q3 Q4 Actual Expected

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EBS and Data Warehousing

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What is a data warehouse? “Complete analytical infrastructure”

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EBS and Data Warehousing  A data warehouse with policy level reserves and earnings allows:  knowledge discovery with regard to profitability and performance by product, sales office or client segment  can lead to successful management action

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Data needed For EBS  Policy data, reserves, transactions and expected rates For Analysis of EBS  Product Structure and attributes  Sales structure and attributes  Client attributes Must be unitized to allow alternate aggregations

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Requirements of an EBS report in a Data Warehouse  Accessible across organization  Explain components  Integrate with other reports  Flexible over time  Analysis by product, sales office, demographic etc

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Summary of Method

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General Method  Statutory or “management” reserve bases  Gross or net premium valuation methods  Lines of Business; Life, Disability etc.  No Approximations

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Monthly Recognition of Sources  Impact of sales recognized in month of issue  Reserves released as at month of exit  Premiums and expenses at start of month, claims at end of month  Monthly sources accumulated using Fund return

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Monthly Recognition of Sources  Flexible over time  yearly results are easily accumulated from quarterly results.  Simple formula  Reduces compounding and interaction  Contingency sources are based on the immediate impact of the event

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Monthly Recognition of Sources  Gives immediate impact of Sales  New Business Strain on Statutory  Profit at Issue on Management  Not at a “variable” point in the future.  After the month of issue, policies are included in the “in-force” analysis of variations.

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Reserves Released on Exit  Projected ending reserves  Survivors and exits  Assumed in derivation  May not equal actual ending reserves  Starting reserves may be used  These may be more easily available  Introduces known approximation

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Unitized Earnings  Requires investment return and expenses to be unitized for policy level analysis.  Investment return as a rate,  Expenses as a per-policy unit factor

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Unitized Earnings  Allows analysis at any level:  product, sales office, demographic.  Exp’ d amounts  from valuation system, or if not,  more accurately and easily defined

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Report Structure  Linear Report  Grid Report

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Linear Report Normal Profit Issue Profit Issue Margins Release of Margins Experience Variations Interest Premium Expense Mortality Withdrawal Change of Basis Total Earnings

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Grid Report Statutory Mgmt Margin Sales Impact X X X Variations Interest X X X Premium X X X Expenses X X X Mortality X X X Withdrawal X X X Total Variations X X X Basis Changes X X X Total Earnings X X X

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Formulae Development

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Method  Define calculation order  Begin with actual earnings exp’n  Modify 1st var. from “act’l” to “exp’d”  Subtract modified from initial exp’n  Modify 2nd var. from “act’l” to “exp’d”  Subtract modified from prior exp’n  Continue through sources  Final earnings = zero  mgmt earnings on mgmt reserves

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Order of Sources  Basis Change  Sales Impact  Release of Margins  Interest Variation  Cash Flow Variation  Contingency Variation

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Sources of Earnings

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Sales Impact  Issue Profit  Capitalized Future Profits + Cash Flows  Expected profit at issue  Should be at time of issue  Acquisition Expenses, Initial Commission  Issue Margins  Impact of setting up reserves             New Deaths New Issued New Suviviors m S E P V 1

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Release of Margins (RoM)  Acc’d Starting – Ending Margins  (Act’l) RoM ≠ Expected Earnings  Exp’d Earnings = Exp’d RoM ≠ Act’l RoM unless A = E  “Exp’d Earnings adjusted for act’l experience on margins”  “Actual earnings before variations”  RoM by source/assumption

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Interest Variation  Act’l interest on Cash-flows + Res. – Exp’d interest on Cash-flows + Res.         Initial Beginners m a a a m i i E P V 0

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Cash flow Variations  – (Act’l Expenses – Exp’d Expenses) accumulated on Expected Interest  Total exp’d exp’s will change every month.  Reconcile unit expenses, not total         Initial Beginners m m a i E E 1

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Contingency Variations  Mortality - Life Insurance  – (Actual Strain – Expected Strain)                    Initial Beginners m m Initial Deaths m V S q V S 0 , 1 0 , 1

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Contingency Variations  Mortality - Disability Insurance  Actual Gain – Expected Gain     Initial Beginners m m Initial Deaths m V q V 0 , 1 0 , 1

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Contingency Variations  Disablement  Actual Gain – Expected Gain  Gain = Reserve Released – Reserve Set Up           Healthy Beginners m D m H m Healthy ts Disablemen m D m H V V d V V 0 , 1 0 , 1 0 , 1 0 , 1

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Reconciliation  Reconciliation to both actual earnings and planned earnings

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Reconciling to Actual Earnings  Sum of Sources = Actual Earnings  No approximations necessary  Known approximations due to data availability  Magnitude can be estimated  Modeling Variation  Also acts as an error- check on the calculation  or an order-check on approximations

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Reconciling to Planned Earnings  Planned Earnings  Earnings target set by Management usually each year  Based on expense budgets, sales and investment targets, as well as projected policy behavior.

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Reconciling to Planned Earnings  Reconciliation  First, restate Planned Earnings on Actual Sales over the year.  The difference between Original and Restated Planned Earnings is the impact of sales variations.  Compare Restated Planned Earnings with Normal Profits (Issue Profit + Issue Margin + Release of Margins).

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Reconciling to Planned Earnings  Issues  Planned Earnings may be carried out in aggregate  Planned Earnings may use different methods

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Conclusion

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Conclusion  EBS can be an effective management tool  Continuous approach  No approximations required  Performance can be monitored over the year  Meaningful explanation of results helps decision process

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Further Information  The Analysis of Insurance Earnings  Formulae  Proofs  www.insightdecision.com

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Presenters Kevin Pledge [email protected] (905) 475 3282 x 1 John McGarry [email protected] (905) 475 3282 x 3

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Thank you for attending