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Filename Copyright © 2002 ERisk CAS Ratemaking Seminar 2002 Peter Nakada Global Head of Consulting, ERisk March 2002.

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Presentation on theme: "Filename Copyright © 2002 ERisk CAS Ratemaking Seminar 2002 Peter Nakada Global Head of Consulting, ERisk March 2002."— Presentation transcript:

1 Filename Copyright © 2002 ERisk CAS Ratemaking Seminar 2002 Peter Nakada Global Head of Consulting, ERisk pnakada@erisk.com March 2002

2 Filename 1 Remember why we’re here Direct Expense and Overhead Excess Profit Total Premium and Fees Risk Load  Reflects relative cost due to variability in claim frequency and severity  Incorporates portfolio concentrations How do you charge for risk in a leveraged financial institution? Target ROE ROE > Target Expected Loss  Present value of liabilities –or–  Nominal value of liabilities and include impact of investment income

3 Filename 2 Framing the debate  How do we define risk? –VaR, TVaR –EPD –Economic Capital (Shortfall Probability)  How do we charge for risk? –RAROC –EVA, CAPM, Economic Profit –SVA –Traditional standard deviation, variance- based Framework  RAROC –Value-based –Single-period –Analytical  DFA –Accounting-based –Multi-period –Simulation Technique WHAT HOW

4 Filename 3 Capital Accumulation Capital Management Late ’80s Losses LDC lending Portfolio insurance Junk bonds Real estate lending Interest rate spike Focus on earnings growth, cost efficiency Qualitative risk measures Seat-of-the-pants pricing Strong pricing cycles Focus on return on equity Quantitative risk measures, capital linked to risk Risk-based pricing hurdles Dampened pricing cycles Pre 1990Post 1990 Lessons learned from banking

5 Filename 4 Banks used Economic Capital to drive strategic decisions... CEO SHAREHOLDER PERSPECTIVE RATING AGNECY PERSPECTIVE Economic Capital RAROC Risk vs. Reward Financial Strength Risk vs. Capital Expected Return Economic Capital Structure

6 Filename 5... and drove this discipline into the businesses via RAROC-based pricing tools Calculate based on risk Loan Pricing Tool Exposure Expected Loss Expense Allocation Economic Capital bp $ $ $ RAROC $ % VALUE ADDED Calculated Commitment Maturity Commitment Fee Drawn Spread Avg. Utilization Fees & Other Income %  $  yrs $ bp Rating Sub-Portfolio Calculate Break- Even

7 Filename 6 RAROC techniques are different from traditional DFA techniques...  Philosophy: Make it useful –Build bridges to data –Quick results and revise often –Spend effort in proportion to risk  Economic value-based model  Single period, analytical approach –Easy to incorporate management experience  Capital attribution approach widely accepted in banking  Philosophy: Make it accurate –Analysis paralysis –Spaceship building –Everything’s a nail  Accounting-based accrual model  Multi-period, simulation approach –Overall effect of micro-level dependencies obfuscated  Various capital attribution approaches P&C RAROC Dynamic Financial Analysis... and provide important advantages, driven by a decade of evolution in banking

8 Filename 7 RAROC uses Economic Capital as the common measure of risk across all risk types Enterprise-wide Risk Comprehensive coverage of risk types All risks measured on a consistent basis Time horizon harmonized across analysis Confidence interval linked to financial strength Forward-looking, not historical volatility Additive across activities (business, product, customer) Non-Cat Risk Operating Risk Asset Risk CAT Risk -1000-800-600-400-2000 Probability Economic Capital Probability linked to solvency standard

9 Filename 8 1 Use the right model for each risk – don’t shortchange asset risk Capital Required by the US P&C Industry by Risk Type Asset Risk Non-Cat Liability Risk Property Catastrophe Risk Operating Risk *Source: P&C RAROC: A Catalyst for Improved Capital Management in the Property and Casualty Insurance Industry, Nakada, et al., The Journal of Risk Finance, Fall 1999.

10 Filename 9 2 Value-based models allow you to define a single distribution for each risk type Probability Change in value over one period Economic Capital Expected Loss Solvency standard: how strong do you want your firm to be?

11 Filename 10 Aggregate Distribution Total Risk 3 Modular, analytical models are faster and more transparent Market Risk Credit Risk A/LM Risk Operating Risk Inter-risk correlations -1000-800-600-400-2000 Value AGGREGATOR CAT Risk Non-CAT Risk

12 Filename 11 4 It is easier to calculate risk contributions from an analytical model Policy Risk Risk Contribution 13.02.2 ……… n8.06.0 Risk contributions Simulation Analytical 10,000 iterations, 100 policies “F9” in Excel A few matrix multiplications 10,000 iterations x 100 policies 1,000,000 iterations Calculation of Contributions (hours) (minutes or seconds) Policy Risk Risk Contribution 13.02.2 ……… n8.06.0 Risk contributions

13 Filename 12 5 Correlation and other assumptions should be explicit – and tested Confidence Intervals around Economic Capital Estimates -30%-20%-10%0%10%20%30% TOTAL Credit Risk Operating Risk Analogs Cat Risk Non-Cat Risk Interest Rate Volatility Market Index Volatility Risk Correlation Percent Change in Economic Capital Available Capital Model/Parameter Tested Confidence - Confidence +


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