Loss Reserve Adequacy and the Underwriting Cycle Casualty Actuarial Society General Meeting Montreal, Canada November 16, 2004 Michael E.
Download ReportTranscript Loss Reserve Adequacy and the Underwriting Cycle Casualty Actuarial Society General Meeting Montreal, Canada November 16, 2004 Michael E.
Loss Reserve Adequacy and the Underwriting Cycle Casualty Actuarial Society General Meeting Montreal, Canada November 16, 2004 Michael E. Angelina, ACAS, MAAA ©Towers Perrin Agenda 2004 Observations Reserve Adequacy Charges, drivers, management estimates Underwriting Cycle Causes, observations Correlation vs. Observations Reserve Adequacy revisited External influences Other Thoughts ©Towers Perrin 2 Industry Observations - 2004 ©Towers Perrin 3 2004 at a Glance Early forecasts continued premium growth Combined ratio below 100% Record results through 2Q Despite reserve increases by several companies Worst hurricane season in 50 years Continued medical malpractice crisis Spitzer allegations turn the industry on its head Source: A.M. Best, ISO. ©Towers Perrin 4 Net income (1991-2004*) $36,819 $30,773 $30,800 $24,404 $20,598 $19,316 $23,600 $21,865 $20,559 $14,178 $10,870 $5,840 $3,046 $ Billions -$6,970 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004* Source: A.M. Best, Insurance Information Institute. * First six months of 2004 ©Towers Perrin 5 Reserve Adequacy Calendar year reserve hits (U.S. Property/Casualty industry) $ in Billions Total All Lines Year-end 2001 $12 B 2002 $22 B 2003 $14 B About half due to asbestos Context: Industry total reserves = $ 350 B Industry total premium = $ 400 B Industry total surplus = $ 300 B ©Towers Perrin 7 A “few” companies account for much of the adverse development Calendar Year 2002: 30 companies accounted for 80% of the one-year development Calendar Year 2003: 30 companies accounted for 90% of the one-year development Not all the same companies as prior year The 30 companies (each year) held 20 – 25% of the industry’s surplus ©Towers Perrin 8 For the industry composites, the first estimate of ultimate losses over/ underestimates ultimate losses in a cyclical pattern Current Ultimate/Initial Ultimate 1.3 1.2 1.1 1.0 0.9 0.8 0.7 1980 1985 1990 1995 2000 Accident Year All Lines WorkComp Source: Composite Schedule P. ©Towers Perrin 9 There are many process related drivers of reserve development External environment Asbestos, pollution, construction defects Runaway juries Shock losses WTC, Enron, Mutual Funds, Vioxx(??) Methodologies Chain-ladder, expected loss estimates Data quality TPA handled claims, poor systems Knowledge of underlying exposure ©Towers Perrin 10 There are also decision-based questions that can influence reserve adequacy When to move off of an expected loss estimate (peg)? Before IBNR is negative How bad can a given year really be? 400% loss ratio is bad, 550% is worse When is noise really an underlying trend ? The “but for” rule What can we afford to take/release? Low end of talked down range Can you say bias Book the medium since reserves only go up ©Towers Perrin 11 Underwriting Cycle ©Towers Perrin 12 Underwriting gain/loss (1975-2004*) $ Billions $10 $0 ($10) ($20) ($30) ($40) ($50) ($60) 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004* * First six months of 2004 Source: A.M. Best, Insurance Information Institute. ©Towers Perrin 13 Combined ratio (1991-2004*) 115.8 115.7 110.0 108.8 108.5 106.9 106.5 107.7 105.8 107.2 105.6 101.6 100.1 99 94 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004E2004* 2004 E based on first six months of 2004; * 2004 is after the impact of the hurricanes Source: A.M. Best, ISO, Reinsurance Association of America, Insurance Information Institute. ©Towers Perrin 14 Commercial lines’ combined ratios have historically been worse than personal lines Commercial vs. Personal Lines Combined Ratios 125 10-YR AVG COMBINED RATIO 122.2 Commercial lines - 111.1 120 Personal lines - 105.2 115 112.5 110.3 112.3 110.2 109.7 110 111.5 109.9 110.9 110.2 107.6 105 103.9 104.5 104.9 103.5 105.3 104.5 103.9 103.0 102.7 99.8 100 97.5 95 90 93 94 95 96 97 98 Commercial--Net Basis 99 00 01 02 03E Personal--Net Basis Source: A.M. Best; Insurance Information Institute ©Towers Perrin 15 Like reserve adequacy, the underwriting cycle is driven by many process-related factors Prior year(s) loss estimates Anticipated investment returns External environment Loss cost trend, inflation Shock losses Catastrophes Market conditions Terms and conditions Rate changes Underwriting criteria Reinsurance costs ©Towers Perrin 16 Underwriting Cycle - Observations Underwriting Cycle Observations – Measuring the impact of price monitoring (1) (2) (3) (4) Terms & Accident A-priori Loss Cost Rate Conditions Year Loss Ratio Trend Change Impact 1999 2000 2001 2002 2003 2004 ©Towers Perrin (5) (6) U/W Impact Expected Loss Ratio 110.0% 10.0% 9.0% 8.0% 6.0% 4.0% 16.0% 18.0% 22.0% 12.0% 5.0% 1.5% 2.0% 2.5% 1.0% 0.0% 11.0% 110.0% 91.4% 82.8% 71.4% 66.9% 66.3% 18 Underwriting Cycle Observations – Measuring the impact of price monitoring The a-priori estimate When do we find out the estimate is adequate Test with diagnostics Prior and subsequent years What happens when the estimate is too low/high Feedback mechanism Control cycle ©Towers Perrin 19 Underwriting Cycle Observations – Measuring the sensitivity of price monitoring 175.0% 150.0% 125.0% 100.0% 75.0% 50.0% 25.0% 0.0% 1999 Base Case ©Towers Perrin 2000 Scen A 2001 Scen B 2002 2003 Scen C 2004 Scen D 20 Underwriting Cycle Observations – Testing the price monitoring assumptions (1) Accident Expected Year Loss Ratio 1999 2000 2001 2002 2003 2004 ©Towers Perrin 110.0% 91.4% 82.8% 71.4% 66.9% 66.3% (2) Shock Losses 2.0% 7.0% 1.0% 1.0% 4.0% 2.0% (3) (4) Shock Reserving Adjusted Ultimate Loss Ratio Loss Ratio 112.0% 98.4% 83.8% 72.4% 70.9% 68.3% 112.0% 106.0% 92.5% 86.5% 79.0% 75.0% (5) Unexplained Difference 0.0% 7.6% 8.7% 14.1% 8.1% 6.7% 21 Underwriting Cycle Observations – Link pricing and reserving Control mechanisms Challenges assumptions Reflects trends, stability, newly emerged claims Feedback loop Understand the “difference column” Systematic bias Noise Unexplained differences ©Towers Perrin 22 Underwriting Cycle Observations – Understanding the Difference Column 50.0% 25.0% 0.0% 1999 2000 2001 2002 2003 2004 -25.0% -50.0% Base Case ©Towers Perrin Scen A Scen B Scen C Scen D 23 Reserve Adequacy - Revisited ©Towers Perrin 24 Reserve Adequacy - Revisited External Influences Rating Agencies Regulatory RBC threshold testing Triennial reviews Statutory opinions Moved from opining on net reserves to include identification of other potential factors SarbOx ©Towers Perrin 25 Reserve Adequacy - Revisited Regulatory Reporting Requirements (last 10 years) Page 3 and Schedule P Schedule F Disputed Recoverables Note 33 (asbestos and pollution disclosure) Ceded Reinsurance Collateral Discounting Sensitivity (tabular plus non-tabular) Retroactive Reinsurance ©Towers Perrin 26 Reserve Adequacy - Revisited Statutory Opinion Requirements Gross versus Net Material Adverse Deviation Risk Factors Comments on IRIS tests Asbestos and pollution comments Discounting Ranges Reinsurance Data testing ©Towers Perrin 27 Other Thoughts ©Towers Perrin 28 Other Thoughts Reserving Actuary as business partner Part of control mechanism and feedback loop Reserving process and therefore pricing process can incorporate Claims department Reinsurance accounting Pricing and underwriting ©Towers Perrin 29