risk lighthouse llc by dr shaun wang october 5 2012
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09/25/2012 Capital Allocation: A Benchmark Approach Risk Lighthouse, LLC by Dr. Shaun Wang October 5, 2012 Acknowledgement: Support from Tokio Marine Technologies LLC www.risklighthouse.com 2 1 09/25/2012 Part 1. Review of Capital


  1. 09/25/2012 Capital Allocation: A Benchmark Approach Risk Lighthouse, LLC by Dr. Shaun Wang October 5, 2012 Acknowledgement: Support from Tokio Marine Technologies LLC www.risklighthouse.com 2 1

  2. 09/25/2012 Part 1. Review of Capital Allocation Methods 1 www.risklighthouse.com 3 Part 1. Review of Capital Allocation Methods Portfolio Theory of Capital Allocation • Most current capital allocation methods are variations of the Markowitz Portfolio Theory, based on portfolio Value-at-Risk and marginal contributions.  Diversification benefit is a key driver that impacts allocated capital.  It is hard to select correlation parameters among lines of business. www.risklighthouse.com 4 2

  3. 09/25/2012 Part 1. Review of Capital Allocation Methods Limitations of the Portfolio Theory of Capital Allocation 1) Allocation results are highly unstable. 2) Adding a new risk can significantly alter allocated capital for existing risks. 3) Allocation is highly sensitive to the correlation parameters used. 4) Allocated capital to a risk can exceed its policy limit. www.risklighthouse.com 5 Part 1. Review of Capital Allocation Methods Insurance Market Cycles Last for Several Years • Unlike a stock market which is characterized by random walks, insurance market cycles are played out in slow-motion and last for multiple years. • Capital allocations need to reflect the through-the-cycle profitability. • In insurance, customer relation is an important factor in long-term profitability. www.risklighthouse.com 6 3

  4. 09/25/2012 Part 1. Review of Capital Allocation Methods Net Written Premium Growth Rate (Percent) 1975-78 1984-87 2000-03 25% Net Written Premiums fell 0.7% in 2007 (first decline since 1943) by 2.0% in 20% 2008, and 4.2% in 2009, the first 3-year decline since 1930-33. 15% 10% 5% 0% NWP was up 0.9% in 2010 with forecast growth of 1.4% in 2011 -5% 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10E 11F Shaded areas denote “hard market” periods Sources: Insurance Information Institute, A.M. Best, ISO www.risklighthouse.com 7 Part 1. Review of Capital Allocation Methods A Case Example: Wildly Different Capital Allocation Methods Gary Venter, Feb 2002 Actuarial Review In 2001, the CAS Call For Philbrick & Bohra & Papers to analyze a Painter * Weist ** hypothetical insurer, % of % of Surplus Surplus Relative recommend a reinsurance Allocated Allocated Ratio program, allocate capital, Workers Comp 41% 11% 3.73 Auto Liab 26% 29% 0.90 etc. HO/CMP Prop 11% 51% 0.22 Auto Phys Dmg 1% 1% 1.00 GL/CMP Liab 21% 8% 2.63 Total 100% 100% * From Swiss Re ** From Munich-American Re www.risklighthouse.com 8 4

  5. 09/25/2012 Part 2. An Alternative Method: Risk Margins and Benchmark Approach 2 www.risklighthouse.com 9 Part 2. Risk Margins and Benchmark Approach The Concept of Risk Margins • Explicit Risk Margin is now required by some financial reporting proposals. • It recognizes risk and uncertainty in the amount and timing of future payments needed to satisfy insurance liabilities. • It reflects market-based price an insurer would rationally pay to be relieved of the insurance liabilities. www.risklighthouse.com 10 5

  6. 09/25/2012 Part 2. Risk Margins and Benchmark Approach Average Risk Margin • Insurance markets vary widely across products and market segments. We define Average Risk Margin as an aggregated average, or central value, over a portfolio of insurance contracts for a fixed time period. • At any specific time, the prevailing market risk margin may differ from the Average Risk Margin. www.risklighthouse.com 11 Part 2. Risk Margins and Benchmark Approach Benchmark Capital Method • The basic idea: allocated capital is calculated as the ratio of Average Risk Margin and Target Excess Return. 𝐵𝑤𝑓𝑠𝑏𝑕𝑓 𝑆𝑗𝑡𝑙 𝑁𝑏𝑠𝑕𝑗𝑜 𝑈𝑏𝑠𝑕𝑓𝑢 𝐹𝑦𝑑𝑓𝑡𝑡 𝑆𝑓𝑢𝑣𝑠𝑜 = Allocated Capital • We estimate Average Risk Margin and Target Excess Return using aggregate industry statutory report data. www.risklighthouse.com 12 6

  7. 09/25/2012 Part 2. Risk Margins and Benchmark Approach Benchmark Capital Method Target Excess Return (over risk-free Average Risk rate) Allocated Margin Capital 𝐵𝑤𝑓𝑠𝑏𝑕𝑓 𝑆𝑗𝑡𝑙 𝑁𝑏𝑠𝑕𝑗𝑜 𝑈𝑏𝑠𝑕𝑓𝑢 𝐹𝑦𝑑𝑓𝑡𝑡 𝑆𝑓𝑢𝑣𝑠𝑜 = Allocated Capital www.risklighthouse.com 13 Part 3. Risk Margins Using Wang Transform 3 www.risklighthouse.com 14 7

  8. 09/25/2012 Part 3. Risk Margins Using Wang Transform Theory of Market Price of Risk • Fund performance (also called Sharpe Ratio):  = { E[ R ]  r } /  [ R ] • Capital Asset Pricing Model:  i = Corr( R M , R i )   M • Black-Scholes-Merton model for options  Call Option =  Underlying Asset www.risklighthouse.com 15 Part 3. Risk Margins Using Wang Transform Financial & Insurance Pricing Mapping between 1. Loss Curve – physical measure – S(x) = 1- F(x) 2. Pricing Curve – risk-neutral measure – S*(x) = 1- F*(x) www.risklighthouse.com 16 8

  9. 09/25/2012 Part 3. Risk Margins Using Wang Transform Wang Transform • Maps a loss curve to a price curve: =  [  – 1 ( F ( x )) )   ] F * ( x ) ) = 0.97 =  [  – 1 ( 0.99 ) )  0.4 E.g. 0. 0.45]   is the standard normal distribution   extends the Sharpe Ratio concept • Recovers CAPM and Black-Scholes-Merton formula for (log)normally distributed risks www.risklighthouse.com 17 Part 3. Risk Margins Using Wang Transform Risk Margin Using Wang Transform • Let F(x) denote the loss distribution • Apply Wang transform to derive a risk- = 𝒖 𝟕 [  – 1 ( F ( x )) )   ] adjusted distribution F * ( x ) ) = • We get risk margin from the transformed distribution 𝑆𝑗𝑡𝑙 𝑁𝑏𝑠𝑕𝑗𝑜 = 𝐹 ∗ 𝑀𝑝𝑡𝑡 − 𝐹(𝑀𝑝𝑡𝑡) www.risklighthouse.com 18 9

  10. 09/25/2012 Part 3. Risk Margins Using Wang Transform Estimated “lambda” values from CAT bond transactions: Effects of 2005 Katrina Before 2005 After 2005 Peril Zone Katrina Katrina U.S. Wind 0.48 0.77 Europe 0.41 0.53 Wind Japan 0.50 0.50 Earthquake www.risklighthouse.com 19 Part 3. Risk Margins Using Wang Transform Estimated “lambda” values from CAT bond transactions: Effect of 2001 Japan Earthquake Peril Before 2011 After 2011 U.S. 0.55 0.54 Earthquake Japan 0.50 0.64 Earthquake www.risklighthouse.com 20 10

  11. 09/25/2012 Part 4. Proposed Benchmark Capital Allocation 4 www.risklighthouse.com 21 Part 4. Proposed Benchmark Capital Allocation Example of Coefficient of Variation of Net Loss Ratios (AY 1987-2004) Bi-Model Distribution • Apply Wang transform 0.03 to stylized risk ratio 0.025 distribution for a line of Density 0.02 Probability Density business 0.015 0.01 • Use benchmark price 0.005 to back out required 0 capital charge 0% 100% 200% 300% 400% 500% -0.005 Loss Ratio www.risklighthouse.com 22 11

  12. 09/25/2012 Part 4. Proposed Benchmark Capital Allocation Applications in Calculating Capital Charges www.risklighthouse.com 23 Part 4. Proposed Benchmark Capital Allocation Use Wang transform to derive Capital Charge Factors for ground-up risks Target Excess Sharpe Ratio Return Over Risk- free Rate 0.3 10% UW Year Payout Annualized Annual Capital Line of Business Volatility Duration Volatility Charge Factor PPA Liab 4.0% 2.3 2.6% 0.08 Prem/Ops Small 11.3% 3 6.5% 0.20 Prem/Ops Large 26.4% 6 10.8% 0.32 Comml Auto NonFleet 6.9% 3.8 3.5% 0.11 Comml Auto Fleet 37.1% 3.8 19.0% 0.57 Worker Comp Small 12.6% 10 4.0% 0.12 Worker Comp Large 28% 11.3 8.2% 0.25 www.risklighthouse.com 24 12

  13. 09/25/2012 Part 4. Proposed Benchmark Capital Allocation Apply Wang transform to derive relativity (excess vs. ground-up) in capital charge factors 150 xs 100 250xs250 500xs500 1M xs 1M 3M xs 2M 5M xs 5M Pers Auto Liab 1.67 Comm Auto Liab NonFleet 1.67 Comm Auto Liab Fleet 1.2 1.45 1.67 2 2.8 3.5 Prems/Op Small 1.2 1.45 1.67 2 2.8 3.5 www.risklighthouse.com 25 Part 4. Proposed Benchmark Capital Allocation Adjust for Payment Duration “D” • Let D denote the duration of payment pattern for a line of business. • The market price of risk for an Accident Year 𝜇 𝐵𝑍 can be adjusted for duration to derive an 𝜇 𝐵𝑍 1-year parameter: 𝜇 1 = 𝐸 . • This gives a middle ground of the two extremes: MunichRe vs. SwissRe methods. www.risklighthouse.com 26 13

  14. 09/25/2012 Thank you! Contact Dr. Shaun Wang, FCAS, MAAA One Atlanta Plaza, Suite 2160 950 E. Paces Ferry Road NE Atlanta, GA 30326-1384 Phone: 678-732-9112 shaun.wang@risklighthouse.com www.risklighthouse.com www.risklighthouse.com 27 14

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