How To Get The Biggest Bang For Your Reinsurance $$ CAS Spring Meeting May 17, 2004 Moderator: Karen Pachyn, Sr.
Download ReportTranscript How To Get The Biggest Bang For Your Reinsurance $$ CAS Spring Meeting May 17, 2004 Moderator: Karen Pachyn, Sr.
How To Get The Biggest Bang For Your Reinsurance $$ CAS Spring Meeting May 17, 2004 Moderator: Karen Pachyn, Sr. V.P., & Chief Actuary GE Reinsurance Corporation Panelists: Michele Bernal, Chief Actuary – Direct Treaty American Re-Insurance Company Daniel Carberry, V. P. Benfield, Inc. 1 How to Get the Biggest Bang for Your Reinsurance Buck • Make Sure Your Reinsurer Understands What’s Happening With Your Business • Give Him/Her Data to Demonstrate It 2 Discussion Topics • General Issues Given Where We Are in the Market • Importance of Price Monitoring • Loss Development Issues • Line of Business Issues - Umbrella - Work Comp - Contractors/Construction Defect - Property • Special Issues Surrounding Cat and Terrorism Exposures 3 General Issues • Reinsurers Use Two Basic Pricing Approaches - Experience Rating - Exposure Rating • Also Want to Know Current/Projected Rates 4 General Issues • Reinsurers Rely Heavily on Historical Data - How Does This Compare to Your Going Forward Book - In Hard Market, Favorable Changes Made May Not Be Evident in Standard Data Request - Help Reinsurer Understand These Changes What Were They How Will They Impact Your Loss Ratio What Data Can You Provide to Support That 5 General Issues • Common Changes in Hard Market - We No Longer Write in State X Provide Data by State - We Cancelled a Bunch of Agents Provide Data for Those Agents Vs. Others Explain Why Business Won’t Just Go to Agent Across the Street - We Got Out of Classes of Business Provide Data With and Without Those Classes Why Those Classes? Prove It Wasn’t Just Bad Luck That Caused the Classes to Be Bad - We’ve Changed Our Underwriting Standards What Changes Were Made What Percent of the Business Do They Impact Why and How Will That Improve the Loss Ratio 6 General Issues • How to Get the Reinsurer to REALLY Buy Into What You Are Telling Them - Give Them a History of at Least 5 to 6 Years, Not Just Last Year Vs. This Year - Provide Premium PLUS Loss Data - Have Direct Actuarial Discussions - Make Sure the Data Ties to Other Exhibits/Balances/Makes Sense 7 Importance of Price Monitoring 8 Importance of Price Monitoring • Cleanest Is Filed Manual Rates in One Company - Ideally Filed Rate Changes - Changes in Loss Costs, Loss Cost Multipliers - Deviations off Rates? - Inflation Sensitive Exposure Base? - Changes in TIV? 9 Importance of Price Monitoring • Complications - A-Rated Business - Non Admitted Carrier - Tiered Rate Levels – Multiple Companies 10 Importance of Price Monitoring • A Good Price Monitoring System: - Measures Premiums Charged Year Over Year - Adjusts for Changes in Number of Exposure Units - Adjusts for Changes in Limits, Deductibles, SIR’s, Etc. - Adjusts for Changes in Coverage - Captures a Significant Portion of Renewals - Measures New 11 Importance of Price Monitoring • Price Monitoring Example: Renewing Prem. Expiring Prem. Price Change All Policies $ 30,450,000 $ 24,975,000 22% Policies w/ Eq. Terms 21,125,000 18,500,000 14% Exposure Base 20,950,000 23,145,000 Price Per Exposure 1.453 1.079 35% 12 Importance of Price Monitoring • Price Monitoring - Best Approach – Rerate This Year’s Policy at Last Year’s Rates Captures Changes in Limits, Exposures, Etc. Way to Measure New Business Time Consuming – Automated If Debits or Credits Judgmental, How Do You Accurately Capture That? 13 Loss Development Issues • Reserving Cycle • Nature of Large Losses 14 Loss Development Issues - Reserving Cycle • Increases in Incurred Loss Development • Big Question : What Will Development Be in the Future? • Three Possibilities: - Higher? – Maybe the Higher Development Is Due to Increased Inflation – Case Reserves Are Just Barely Keeping Up, and Incurreds Will Increase More in the Future - Lower? – Our Reserves Are Much Stronger Than They’ve Been in the Past, So Future Development Will Be Less - Somewhere in Between? – If So, Where? 15 Loss Development Issues - Reserving Cycle How Do You Know? What Can You Do? What Will Your Reinsurer Do?? 16 Loss Development Issues – Reserving Cycle • How Strong Are the Reserves? - Provide Triangles of Paid/incurred Ratios - If Reserves Are Stronger Than Historical, Ldf’s Can Be Adjusted Downward • Are Losses Being Distorted by Timings of Claims Closings or an Increase in Settlements? - Provide Triangles of Closed Claims and Reported Claims to See % of Claims Remaining to Be Closed - If More Claims Closed Than Historical, Tail Can Be Reduced • Is It Inflation or Just Reserve Strengthening? - Provide Paid or Closed Losses/closed Claims 17 What About Large Claims? 18 Loss Development Issues – Large Claims • Important to Understand Differences Between How Small and Large Claims Are Reserved - Different Department? - Are Initiatives That Impact Aggregate Losses Impacting the Large Losses in the Same Manner? 19 Loss Development Issues – Large Claims • Leveraged Impact of Development on Excess Losses - WC Percentage of Ultimate Primary vs Reinsurer (Source: RAA / AM Best) 100% 80% 60% 40% 20% 0% 1 2 3 4 5 6 7 8 9 10 Report Period (Years) Primary Reinsurer 20 Loss Development – Large Claims Cumulative Reported Loss Development Variations in Excess Development Work Comp – 500k X 500k 6.00 5.50 5.00 4.50 4.00 3.50 3.00 2.50 2.00 1.50 1.00 36 48 60 72 84 Months of Development 96 --- Harmonic Mean --- 75th %ile 21 Loss Development Issues – Large Claims What Can I Do? • Important to Track Large Claim Data at Historical Valuations - E.G., Each Year-end Since Reported. • Reinsurer Can Build Loss Development Triangles for On-level Excess Losses 22 Line of Business Issues 23 Line of Business Issues - Excess and Umbrella • Historical Experience - Loss Listing Umbrella Limits Associated With Loss Underlying Limits Line of Business Underlying Carrier Signal Reserves Vs. Other Most Recent Evaluation As Well As Prior Evaluations 24 Line of Business Issues - Excess and Umbrella • Historical Experience - Premium Trends – Want to Get Full Credit for Big Increases! From Price Monitoring Support for Trends Minimum Premiums – When and How Much Auto Unit Rate Changes Factors for First Million As % of U/L Factors for Subsequent Millions Credits or Debits Allowed Handling of Underlying Rates Trends in Underlying Rate Levels Average Premiums Per Million Changes Admitted Vs. Non Admitted Current and Future Rate Levels & Strategies for Achieving 25 Line of Business Issues - Excess and Umbrella • Historical Experience - What Else Is Different Today Vs. Yesterday - Attachment and Limits Point Profiles – Current and Historical - Mix of Supported Vs. Unsupported - Type of Risks in Portfolio 26 Line of Business Issues - Excess and Umbrella • More on Limits Profiles - Matrix Format Attachment Point 1000 2000 3000 4000 5000 10000 Total 300 5% 5% 500 8% 12% 20% 1000 43% 15% 7% 5% 3% 2% 75% Total 56% 27% 7% 5% 3% 2% 100% 27 Line of Business Issues - Excess and Umbrella • More on Limits Profiles - Individual Policy Listing Insured U/L Carrier U/L Limits X/S Limits CC’s Share LOB Krispy Crunchies Feelings Mut. Colorado Dreams ABC Ins. Co. • • • • • • • • • • • • 5000 1000/2000 • • • • 25000 5000 • • • • 10% 100% • • • • Auto Prod. • • • • 28 Line of Business Issues – Workers Comp • Are Claims “Discounted”? - They All Are Medical Inflation Is Not Contemplated Mortality Tables in Stat Plan Have State-specific Discount Discount for Reduced Life Expectancy Most Claims People Aren’t Aware of This “Discount” The Difference in Reserve Levels Is the Degree of “Discount”. 29 Line of Business Issues – Workers Comp • Impact of Settlements - Some States More Accommodating - Some Companies More Aggressive - Paid Development Up - Incurred Development Down • Provide # of Settlements and Size by Year - Reinsurer Can Adjust Tail Downward 30 Line of Business Issues – Workers Comp • Benefit Changes Impact Different Claims Differently - California AB749 – Significant Increases in Permanent Total Benefit Levels SB899 – Significant Savings in Aggregate Losses and Average Medical Losses; Impact on Severe Claims Uncertain Net Effect on XS Loss Rates? • Separation of Data Between Medical, Indemnity and ALAE Can Improve Accuracy of Projections on a 1st Dollar Basis. 31 Line of Business Issues – Workers Comp • Premium Issues - Treatment of Retro Premiums Prior Year AP’s Usually Included in Current Year EP Provide Estimate of Historical & Prospective Adjustments, or Use Standard Premium As a Subject Base? Make Sure Contract Wording Is Clear - Treatment of Audit Premiums - Treatment of Dividends 32 Line of Business Issues – Contractors • Important to Track Historical Timing of Changes in Forms • Helpful If Claims Not Covered Under New Forms Could Be Identified 33 Line of Business Issues - Property • Special Considerations for Excess Per Risk Covers - Exposure Rating PSOLD Expects Limits to Be Building and Contents Only Limits Should Be on a Per Location Basis Excess?? 34 Data And Property Catastrophe Reinsurance Pricing 35 Data And Reinsurance Pricing Agenda • Catastrophe Reinsurance Pricing Overview • Loss Variability • Terrorism Coverage Considerations • Conclusions 36 Catastrophe Reinsurance Pricing Overview 37 Catastrophe Reinsurance Pricing Basic Pricing • Premium = Modeled Pure Premium To Layer + Factor Of Standard Deviation • Capital Allocation, Return On Equity At PML Level • Dependent On Modeling 38 Catastrophe Reinsurance Pricing Other Considerations • Existing Capacity By Region • Loss Experience • Lead Markets • Prevailing Rate On Line For Business Segment • Quality Of Data Available - Reinsurer Will Make Conservative Assumptions 39 Catastrophe Reinsurance Pricing Data Typically Provided To Reinsurers • Model Inputs And Outputs • UNICEDE Data • Modeling Summary - Explanation Of Changes From Previous Year - Narrative On Expected Changes Going Forward • Catastrophe Loss Experience 40 Loss Variability 41 Loss Variability Catastrophe Models • Three Widely Accepted Models Used In The Insurance Industry • All Produce Different Results • Models Change • Reinsurers Are Using All Of Them • Catastrophe Models Are Not Good At Checking Validity of Data 42 Loss Variability Data Quality • Aggregate Vs. Policy Level • Street Address Vs. Zip Code - Personal: 90%+ Street Address - Commercial: 50-75% Street Address - Automobile: Almost Always ZIP Code Aggregate • Use Of Unknowns - Construction, Occupancy, Year Built, Number Of Stories 43 Loss Variability Data Quality • Application Of Deductibles • Insurance To Value And Guaranteed Replacement Cost • Data As Of Date 44 Loss Variability Data Quality • All Data Captured? • Inclusion Of Facultative Or Surplus Share Data • Bulk Coding Of Commercial Locations • Number Of Buildings • Scheduled Property (Inland Marine) 45 Loss Variability Other Factors • Demand Surge • Storm Surge • Allocated Loss Adjustment Expenses • Law/Ordinance Coverage • Inuring Reinsurance 46 Terrorism Considerations 47 Terrorism Considerations Data Available • Property Data – Usually Available From Catastrophe Modeling Exercise • Worker’s Compensation Data – Harder To Collect At Useful Level Of Detail • Object Is To Evaluate Exposure To Clash Loss 48 Terrorism Considerations Tools Available • Accumulation/Concentration Analyses • Probabilistic Models • Deterministic Models 49 CONCLUSIONS 50 Conclusions Technical Considerations • Data Quality And Models Used Affect Catastrophe Loss Estimates • Catastrophe Loss Estimates Are The Foundation Of Reinsurance Pricing 51 Conclusions Non-technical Considerations • Prevailing Market Conditions Matter • Quality Of Data Affects Confidence - Quality of Data Can Differentiate You In The Market - Reinsurers Will Deploy Capacity Where They Are Most Comfortable - Good Data Demonstrates You Know Your Exposure 52 Conclusions What Should You Do? • Review Data Capture Regularly • Make Front End Systems Easy For User • Data Programmer Should Understand Exposure • Involve Catastrophe Modeler In The Data Process • Maintain Controls Across The Process - Control Totals - Modeling Assumptions 53 Conclusions What Should You Do? • Provide Data For Revised Underwriting Guidelines - Deductibles - Geographic Restrictions And/Or Growth • Run Multiple Models Periodically • Consider Mid-Year Reinsurance Rate Adjustment • Eliminate As Many Questions As Possible 54