Charles C. Dockery, Donor - Page 8

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          the Bornheutter-Ferguson method4 to project ultimate values, by             
          accident year, of each self-insurer fund; (ii) determined                   
          frequency and severity components; (iii) performed Monte Carlo              
          simulations5 of the underlying net losses to obtain the potential           
          liability of each self-insurer fund at various confidence levels;           
          and (iv) compared simulation results to the policy retention                
          points and claim payments.  KPMG Peat Marwick estimated that                
          Crossroads' reserves were $22,000,000 as of December 31, 1991,              
          and $30,400,000 as of December 31, 1992.  KPMG Peat Marwick's               
          reserve estimates included losses for retroceded policies.                  
                    b.   Crossroads' Reserves for Unpaid Losses                       
               Crossroads' management established its reserves based on its           
          analysis of the business environment and industry trends, claims            
          experience, and the KPMG Peat Marwick actuarial reports.                    
          Crossroads recorded reserves in the amounts of $19,410,000 as of            
          December 31, 1991, and $22,994,000 as of December 31, 1992, on              
          its financial statements.  These reserves were net of losses for            
          retroceded policies.  Crossroads' financial statements were                 

               4 The Bornheutter-Ferguson method is an actuarial technique            
          used to estimate the value of a company's reserves by subtracting           
          its paid losses from its reserves.                                          
               5 Using the Monte Carlo simulation technique, KPMG Peat                
          Marwick estimated Crossroads' potential liability by performing             
          500 simulations of Crossroads' underlying net ultimate losses for           
          each fund year and sorting the results of the simulations from              
          lowest to highest to estimate confidence levels.                            






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