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Fortis Bank Insurance Corporate Actuarial Control



The chain ladder method Calculation of the proportionality factors. The cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



1 4,372 4,659 5,345 5,917 6,794



Development year 2 3 4 4,411 4,428 4,435 4,696 4,720 4,730 5,398 5,420 6,020



5 4,456



6



5



6



The d run-off triangle Year of origin 0 1 2 3 4 5 6



0 1.362 1.384 1.381 1.396 1.378



#DIV/0!



1 1.009 1.008 1.010 1.017



#DIV/0!



0.9957



pj



Tot. Loss Tol. Increm.



Development year 2 3 4 1.004 1.002 1.005 1.005 1.002 1.004



0.9981



0.9953



98.914% 98.914%



98.914% 0.000%



1.00434 98.914% 0.000%



1.00186 99.344% 0.430%



1.00474 99.529% 0.185%



24,832 169% 24,832 169%



27,087 185% 2,255 15%



20,525 140% (6,562) -45%



20,614 141% 89 1%



14,595 100% 38 0%



DEVELOPMENT FACTORS DEVELOPMENT RATIOS DEVELOPMENT PERCENTAG 14,664 100% 98 1%



14,664 100% 0%



4 7 10



5 21



6



4



5



6



The incremental run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



1 1,163 1,292 1,474 1,678 1,865



Development year 2 3 39 17 37 24 53 22 103



Completion of the cumulative run-off triangle Method 1 (using the proportionality factors p i,i+1) Year of origin



0



Loss Reserving Techniques in Non-Life (E. Van den Borre)



1



Development year 2 3 1



The chain ladder method



Fortis Bank Insurance Corporate Actuarial Control



0 1 2 3 4 5 6



3,209 3,367 3,871 4,239 4,929 5,217



4,372.00 4,659.00 5,345.00 5,917.00 6,794.00



4,411.00 4,696.00 5,398.00 6,020.00 0.00



4,428.00 4,720.00 5,420.00 6,046.15 0.00 0.00



4,435.00 4,730.00 5,430.07 0.00 0.00



4,456.00 4,752.40 5,455.78 0.00 0.00 0.00



4,456.00 4,752.40 5,455.78 0.00 0.00 0.00



1 4,372 4,659 5,345 5,917 6,794 0.00



Development year 2 3 4 4,411 4,428 4,435 4,696 4,720 4,730 5,398 5,420 5,430.07 6,020 6,046.15 6,057.38 0.00 0.00 0.00 0.00 0.00 0.00



5 4,456 4,752.40 5,455.78 6,086.06 0.00 0.00



6 4,456.00 4,752.40 5,455.78 6,086.06 0.00 0.00



1 1,163 1,292 1,474 1,678 1,865 (5,217.00)



Development year 2 3 4 39 17 7 37 24 10 53 22 10.07 103 26.15 11.24 ### -



5 21 22.40 25.71 28.68 -



Method 2 (using the proportionality factors p 1,i) Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



The incremental run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



6 -



Estimated Reserves Year of origin Reserve Reserve 0 0 0 1 22 22 2 36 36 3 66 4 (6,794.00) 5 -5,217 -5,217 Total: The d-triangle



Loss Reserving Techniques in Non-Life (E. Van den Borre)



2



The chain ladder method



Fortis Bank Insurance Corporate Actuarial Control



Year of origin 0 1 2 3 4 5 6



0 1.362 1.384 1.381 1.396 1.378 -



1 1.009 1.008 1.010 1.017 #DIV/0!



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Development year 2 3 4 1.004 1.002 1.005 1.005 1.002 1.005 1.004 1.002 1.005 1.004 #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0!



3



5 1.000 1.000 1.000 #DIV/0! #DIV/0! #DIV/0!



6



The chain ladder method



Fortis Bank Insurance Corporate Actuarial Control



DEVELOPMENT FACTORS DEVELOPMENT RATIOS DEVELOPMENT PERCENTAGES



141.5%



Loss Reserving Techniques in Non-Life (E. Van den Borre)



4



The chain ladder method



Fortis Bank Insurance Corporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



5



The chain ladder method



Fortis Bank Insurance Corporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



6



The chain ladder method



Fortis Bank Insurance Corporate Actuarial Control



The (old) chain ladder method Here the proportionality factors are the mean of empirical proportionality factors. Calculation of the proportionality factors. The cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



1 4,372 4,659 5,345 5,917 6,794



Development year 2 3 4 4,411 4,428 4,435 4,696 4,720 4,730 5,398 5,420 6,020



5 4,456



6



5



6



5 21



6



6,250



7,000



6,050



f(x) = 1.4039538088x 1.3814972301x - 90.3107918789



6,500



f(x) = 1.0404611982x 1.011835442x - 147.2697736397



5,850 5,650



6,000



5,450 5,250



5,500



5,050 5,000



4,850 4,650



4,500



4,450 4,250



4,000 3,000



3,500



4,000



4,500



5,000



5,500



4,000



4,500



5,000



5,500



6,000



6,500



The incremental run-off triangle Year of origin 0 1 2 3 4 5 6



0 1.362 1.384 1.381 1.396 1.378



1 1.009 1.008 1.010 1.017



pj



Development year 2 3 4 1.004 1.002 1.005 1.005 1.002 1.004



1.00435



1.00185



1.00474



The incremental run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



1 1,163 1,292 1,474 1,678 1,865



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Development year 2 3 39 17 37 24 53 22 103



7



4 7 10



The chain ladder method (2)



Fortis Bank Insurance Corporate Actuarial Control



Completion of the cumulative run-off triangle Method 1 (using the proportionality factors p i,i+1) Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



1 4,372.00 4,659.00 5,345.00 5,917.00 6,794.00 0.00



Development year 2 3 4 4,411.00 4,428.00 4,435.00 4,696.00 4,720.00 4,730.00 5,398.00 5,420.00 5,430.03 6,020.00 6,046.17 6,057.35 0.00 0.00 0.00 0.00 0.00



5 4,456.00 4,752.40 5,455.74 6,086.03 0.00 0.00



6 4,456.00 4,752.40 5,455.74 6,086.03 0.00 0.00



6 4,456.00 4,752.40 5,455.74 6,086.03 0.00 0.00



Method 2 (using the proportionality factors p 1,i) Year of origin 0 1 2 3 4 5 6



1 4,372 4,659 5,345 5,917 6,794 0.00



Development year 2 3 4 4,411 4,428 4,435 4,696 4,720 4,730 5,398 5,420 5,430.03 6,020 6,046.17 6,057.35 0.00 0.00 0.00 0.00 0.00 0.00



5 4,456 4,752.40 5,455.74 6,086.03 0.00 0.00



1 1,163 1,292 1,474 1,678 1,865 (5,217.00)



Development year 2 3 4 39 17 7 37 24 10 53 22 10.03 103 26.17 11.18 ### -



5 21 22.40 25.71 28.68 -



0 3,209 3,367 3,871 4,239 4,929 5,217



The incremental run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



Estimated Reserves Year of origin Reserve Reserve 0 0 0 1 22 22 2 36 36 3 66 66 4 -6,794 5 -5,217 -5,217 Total: -11,886.8



6 -



(Official Chain Ladder : )



The d-triangle



Loss Reserving Techniques in Non-Life (E. Van den Borre)



8



The chain ladder method (2)



Fortis Bank Insurance Corporate Actuarial Control



Year of origin 0 1 2 3 4 5 6



0 1.362 1.384 1.381 1.396 1.378 -



1 1.009 1.008 1.010 1.017 #DIV/0!



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Development year 2 3 4 1.004 1.002 1.005 1.005 1.002 1.005 1.004 1.002 1.005 1.004 1.002 1.005 #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0!



9



5 1.000 1.000 1.000 1.000 #DIV/0! #DIV/0!



6



The chain ladder method (2)



Fortis Bank Insurance Corporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



10



The chain ladder method (2)



Fortis Bank Insurance Corporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



11



The chain ladder method (2)



Fortis Bank Insurance Corporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



12



The chain ladder method (2)



Fortis Bank Insurance Corporate Actuarial Control



The (old) chain ladder method Here the proportionality factors are the mean of empirical proportionality factors. Calculation of the proportionality factors. The cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



1 4,372 4,659 5,345 5,917 6,794



1.38093



1.01143



Development year 2 3 4 4,411 4,428 4,435 4,696 4,720 4,730 5,398 5,420 6,020



5 4,456



6



5 4,456.00 4,752.40 5,455.78 6,086.06 6,947.08 7,366.66



6 4,456.00 4,752.40 5,455.78 6,086.06 6,947.08 7,366.66



0 5 ,2 6 ,0 7



6 5 ,0 3 0 .4 1 f(x)= -7 8 5 9 8 .3 1 f(x)= 0 2 7 9 4 4 .0 1 f(x)= 3 -7 2 8 9 6 6 0 ,5 .0 1 f(x)= 2 4 5 3 8 0 ,8 5



1.00434



1.00186



1.00474



0 ,6 5 ,0 6 0 ,4 5



Completion of the cumulative run-off triangle



0 ,2 5 ,0 5



,0 5



5 ,0 0 5 ,8 4



0 5 ,6 4 0 ,5 4 0 ,5 4



0 5 ,2 4 ,0 4 ,0 8 ,0 5 ,0 4 ,0 3



Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



1 4,372.00 4,659.00 5,345.00 5,917.00 6,794.00 7,204.33



Reserves



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Development year 2 3 4 4,411.00 4,428.00 4,435.00 4,696.00 4,720.00 4,730.00 5,398.00 5,420.00 5,430.07 6,020.00 6,046.15 6,057.38 6,871.67 6,901.52 6,914.34 7,286.69 7,318.34 7,331.94



0 0.004713 0.006559 0.01085507 0.022036 4591 4672 4863 5175 5673 0 22.01795 31.89587 56.1749909 125.0083 0.0 24.6 35.6 62.7 139.6



13



cape code



Fortis Bank Insurance Corporate Actuarial Control



PREMIUM 4591 4672 4863 5175 5673 6431



4,456.00 4,752.40 5,455.78 6,086.06 6,947.08 7,366.66



LOSS RATIO



35,063.99 31405 111.65%



 0 0.004713 0.006559 0.010855 0.022036 0.291809



PREMIUM 4,591 4,672 4,863 5,175 5,673 6,431



0.0 22.0 31.9 56.2 125.0 1876.6



0 25 36 63 140 2095 2358



0.291809 6431 1876.623 2095.3



Loss Reserving Techniques in Non-Life (E. Van den Borre)



14



cape code



Fortis Bank Insurance Corporate Actuarial Control



The chain ladder method Calculation of the proportionality factors. The cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



Year of origin 0 1 2 3 4 5 6



Year of origin 0 1 2 3 4 5 6



Year of origin 0 1 2 3 4 5 6



Year of origin 0 1 2 3



0 3,209 3,367 3,871 4,239 4,929 5,217



1 4,372 4,659 5,345 5,917 6,794



0 1.362 1.373 1.376 1.382 1.381



1 1.009 1.008 1.009 1.011



0 3,209 3,367 3,871 4,239 4,929



1 4,372 4,659 5,345 5,917 6,811



0 3,209 3,367 3,871 4,239



1 4,372 4,659 5,345 5,833



0 3,209 3,367 3,871



1 4,372 4,659 5,316



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Development year 2 3 4 4,411 4,428 4,435 4,696 4,720 4,730 5,398 5,420 6,020



5 4,456



6



5



6



5



6



4



5



6



4



5



6



Development year 2 3 4 1.004 1.002 1.005 1.005 1.002 1.004



Development year 2 3 4 4,411 4,428 4,435 4,696 4,720 4,727 5,398 5,422 5,970



Development year 2 3 4,411 4,428 4,696 4,714 5,390



Development year 2 3 4,411 4,701



15



Boni-Mali (chain ladder)



Fortis Bank Insurance Corporate Actuarial Control



4 5 6



Year of origin



5



6



Development year 2 3 4 #REF! #REF! #REF! #REF! #REF! #REF! #REF! #REF! #REF! #REF! #REF! #REF! #REF! #REF! #REF!



5 #REF! #REF! #REF! #REF! #REF!



6 #REF! #REF! #REF! #REF! #REF!



Previous estimation (without any correction for year 0) Development year Year of origin 0 1 2 3 4 0 3,209 #REF! #REF! #REF! #REF! 1 3,367 #REF! #REF! #REF! #REF! 2 3,871 #REF! #REF! #REF! #REF! 3 4,239 #REF! #REF! #REF! #REF! 4 4,929 6,811 6,871.97 6,902.91 6,913.82



5 #REF! #REF! #REF! #REF! 6,913.82



6 #REF! #REF! #REF! #REF! 6,913.82



Year of origin 0 1 2 3 4



1 4,372 4,587



0 3,209 3,367 3,871 4,239 4,929



1 #REF! #REF! #REF! #REF! #REF!



Development year 2 3



4



0 1 2 3 4 5 6



0 3,209 3,367



Previous estimation (without correction for year 0) Development year Year of origin 0 1 2 3 4 0 3,209 #REF! #REF! #REF! #REF! 1 3,367 #REF! #REF! #REF! #REF! 2 3,871 #REF! #REF! #REF! #REF! 3 4,239 #REF! #REF! #REF! #REF! 4 4,929 6,811 6,871.97 6,902.91 6,913.82



Loss Reserving Techniques in Non-Life (E. Van den Borre)



16



0.5% 5 #REF! #REF! #REF! #REF! 6,948.39



6 #REF! #REF! #REF! #REF! 6,948.39



Boni-Mali (chain ladder)



Fortis Bank Insurance Corporate Actuarial Control



Year of ori 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



1 1,163 1,292 1,474 1,678 1,865



Year of ori 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929



1 1,163 1,292 1,474 1,678 1,882



Year of ori 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239



1 1,163 1,292 1,474 1,594



Year of ori 0 1 2 3



0 3,209 3,367 3,871



1 1,163 1,292 1,445



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Development year 2 3 39 17 37 24 53 22 103



Development year 2 3 39 17 37 24 53 24 53 -



Development year 2 3 39 17 37 18 45



Development year 2 3 39 42



17



4 7 10



5 21



6



4 7 7



5



6



4



5



6



4



5



6



-



Boni-Mali (chain ladder)



Fortis Bank Insurance Corporate Actuarial Control



4 5 6



Year of ori 0 1 2 3 4 5 6



#REF! #REF! #REF!



#REF!



#REF! #REF! #REF!



#REF!



0 3,209 3,367



Loss Reserving Techniques in Non-Life (E. Van den Borre)



1 1,163 1,220



Development year 2 3



18



4



5



6



Boni-Mali (chain ladder)



Fortis Bank Insurance Corporate Actuarial Control



Difference



3 (2) 50 187 237



Difference



6 8 204 218



Difference



(5) 182 177



Difference



72



Loss Reserving Techniques in Non-Life (E. Van den Borre)



19



Boni-Mali (chain ladder)



Fortis Bank Insurance Corporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



20



Boni-Mali (chain ladder)



Formation Caritat, 2008



The chain ladder method, Average cost Number of claims



Year of origin 0 1 2 3 4 5 6



Year of origin 0 1 2 3 4 5 6



Development year 2 3 1,047.5 1,047.7 1,028.7 1,028.9 967.8 970.1 986.8



0 1,043.4 1,043.0 965.1 977.0 1,099.0 1,076.3



1 1,045.5 1,027.1 967.9 984.7 1,118.5



4 1,047.7 1,028.7



5 1,047.7



6



1.00316



1.00139



1.00089



0.99990



1.00000



0 1,043 1,043 965 977 1,099 1,076



1 1,045.50 1,027.10 967.90 984.70 1,118.50 1,079.70



Development year 2 3 1,047.50 1,047.70 1,028.70 1,028.90 967.80 970.10 986.80 987.68 1,120.06 1,121.05 1,081.20 1,082.16



4 1,047.70 1,028.70 970.01 987.58 1,120.94 1,082.06



5 1,047.70 1,028.70 970.01 987.58 1,120.94 1,082.06



6 1,047.70 1,028.70 970.01 987.58 1,120.94 1,082.06



0 3,209 3,367 3,871 4,239 4,929 5,217



1 4,372 4,659 5,345 5,917 6,794



4 4,435 4,730



5 4,456



6



1.38093



1.01143



0 3,209 3,367



1 4,372.00 4,659.00



5 4,456.00 4,752.40



6 4,456.00 4,752.40



Paid losses



Year of origin 0 1 2 3 4 5 6



Year of origin 0 1



Loss Reserving Techniques in Non-Life ([email protected])



Development year 2 3 4,411 4,428 4,696 4,720 5,398 5,420 6,020



1.00434



1.00186



1.00474



Development year 2 3 4,411.00 4,428.00 4,696.00 4,720.00



4 4,435.00 4,730.00



21



Chain ladder, average cost



Formation Caritat, 2008



2 3 4 5 6



3,871 4,239 4,929 5,217



5,345.00 5,917.00 6,794.00 7,204.33



5,398.00 6,020.00 6,871.67 7,286.69



5,420.00 6,046.15 6,901.52 7,318.34



5,430.07 6,057.38 6,914.34 7,331.94



5,455.78 6,086.06 6,947.08 7,366.66



5,455.78 6,086.06 6,947.08 7,366.66



0 4,975 5,135 5,681 6,272 7,326 7,353



1 4,629 4,949 5,631 6,198 7,087



4 4,456 4,750



5 4,456



6



0.96955



0.97646



0.99513



0.99740



1.00000



0 4,975 5,135 5,681 6,272 7,326 7,353



1 4,629.00 4,949.00 5,631.00 6,198.00 7,087.00 7,129.07



Development year 2 3 4,497.00 4,470.00 4,783.00 4,760.00 5,492.00 5,470.00 6,131.00 6,101.12 6,920.15 6,886.42 6,961.23 6,927.30



4 4,456.00 4,750.00 5,455.78 6,085.25 6,868.51 6,909.29



5 4,456.00 4,750.00 5,455.78 6,085.25 6,868.51 6,909.29



6 4,456.00 4,750.00 5,455.78 6,085.25 6,868.51 6,909.29



Incurred losses



Year of origin 0 1 2 3 4 5 6



Year of origin 0 1 2 3 4 5 6



0 1 2 3 4 5



Development year 2 3 4,497 4,470 4,783 4,760 5,492 5,470 6,131



NUMBER AV. COST (I) AV. COST (TOT. COSTTOT. COSTLATEST RES (I) 1,047.70 4.25 4.25 4456 4456 4,456 1,028.70 4.62 4.62 4750 4752 4,730 20 970.01 5.62 5.62 5456 5456 5,420 36 987.58 6.16 6.16 6085 6085 6,020 65 1,120.94 6.13 6.20 6869 6947 6,794 75 1,082.06 6.38 6.80 6908 7360 5,217 1,691 Total



Loss Reserving Techniques in Non-Life ([email protected])



22



1,886



Chain ladder, average cost



Formation Caritat, 2008



AVERAGE Paid losses



Year of ori 0 1 2 3 4 5 6



Year of ori 0 1



0 3.08 3.23 4.01 4.34 4.48 4.85



1 4.18 4.54 5.52 6.01 6.07



1.37541



1.01013



0 3.08 3.23



1 4.18 4.54



Loss Reserving Techniques in Non-Life ([email protected])



Development year 2 3 4 4.21 4.23 4.23 4.56 4.59 4.60 5.58 5.59 6.10



1.00330



1.00196



6



5 4.25 4.62



6 4.25 4.62



1.00474



Development year 2 3 4.21 4.23 4.56 4.59



23



5 4.25



4 4.23 4.60



Chain ladder, average cost



Formation Caritat, 2008



2 3 4 5 6



4.01 4.34 4.48 4.85



5.52 6.01 6.07 6.67



5.58 6.10 6.14 6.73



5.59 6.12 6.16 6.76



5.60 6.13 6.17 6.77



5.62 6.16 6.20 6.80



5.62 6.16 6.20 6.80



5 4.25



6



5 4.25 4.62 5.62 6.16 6.13 6.38



6 4.25 4.62 5.62 6.16 6.13 6.38



AVERAGE Incurred losses



Year of ori 0 1 2 3 4 5 6



Year of ori 0 1 2 3 4 5 6



0 4.77 4.92 5.89 6.42 6.67 6.83



1 4.43 4.82 5.82 6.29 6.34



0.96618



0.97530



0 4.77 4.92 5.89 6.42 6.67 6.83



1 4.43 4.82 5.82 6.29 6.34 6.60



Development year 2 3 4 4.29 4.27 4.25 4.65 4.63 4.62 5.67 5.64 6.21



0.99412



0.99751



1.00000



Development year 2 3 4.29 4.27 4.65 4.63 5.67 5.64 6.21 6.18 6.18 6.14 6.44 6.40



4 4.25 4.62 5.62 6.16 6.13 6.38



RES (P) 22 36 65 153 2,143 2,419



Loss Reserving Techniques in Non-Life ([email protected])



24



Chain ladder, average cost



Fortis Bank Insurance Corporate Actuarial Control



The chain ladder method, Variant I Estimation of the linear least square parameters The d-triangle Year of origin



0 1.362 1.384 1.381 1.396 1.378



0 1 2 3 4 5 6



Method 1 (using Excel functions) a0 column 0: column 1: column 2: column 3:



1.3714



a1



0.0027



b1



1.0069



a2



0.0001



b2



1.0042



a3



0.0005



column 4: Method 2 (using formulas) column 0: n xi yi xiyi



column 2:



column 3:



5.0 10.0 6.9 13.8 30.0 0.0044 1.3714 4.0 6.0 4.0 6.1



xi)2



14.0



a1



0.0027



b1



1.0069



n xi yi xiyi



3.0 3.0 3.0 3.0



xi)2



5.0



a2



0.0001



b2



1.0042 2.0



Loss Reserving Techniques in Non-Life (E. Van den Borre)



5



1.0016 1 (no least square regression needed)



xi)2 a0 b0 n xi yi xiyi



n



4 1.005



0.0044



b0



b3



column 1:



1 1.009 1.008 1.010 1.017



Development year 2 3 1.004 1.002 1.005 1.002 1.004



25



Chain ladder, Variant I



Fortis Bank Insurance Corporate Actuarial Control



xi yi xiyi xi)2 a3 b3 column 4:



1.0 2.0 1.0 1.0 0.0005 1.0016 1.0047 (no least square regression needed)



Completion of the d-triangle Method 1 (using Excel functions) Year of origin 0 1 2 3 4 5 6



0 1.3624 1.3837 1.3808 1.3958 1.3784 1.3934



1.0206



Development year 2 3 1.0039 1.0016 1.0051 1.0021 1.0041 1.0027 1.0046 1.0032 1.0047 1.0037 1.0048 1.0043



4 1.0047 1.0047 1.0047 1.0047 1.0047 1.0047



5 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000



1 1.0089 1.0079 1.0099 1.0174 1.0179 1.0206



Development year 2 3 1.0039 1.0016 1.0051 1.0021 1.0041 1.0027 1.0046 1.0032 1.0047 1.0037 1.0048 1.0043



4 1.0047 1.0047 1.0047 1.0047 1.0047 1.0047



5 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000



1 4,372 4,659 5,345 5,917 6,794 7,270



Development year 2 3 4,411 4,428 4,696 4,720 5,398 5,420 6,020 6,048 6,916 7,420 7,455



4 4,435 4,730 5,434 6,067 7,487



5 4,456 4,752 5,460 6,096 7,523



1 1,163 1,292 1,474 1,678 1,865 2,053



Development year 2 3 39 17 37 24 53 22 103 28 122 (6,916) 150 36



4 7 10 14 19 32



5 21 22 26 29 35



1 1.0089 1.0079 1.0099 1.0174



Method 2 (using formulas) Year of origin 0 1 2 3 4 5 6



0 1.3624 1.3837 1.3808 1.3958 1.3784 1.3934



The completed cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



The completed incremental run-off triangle Year of origin 0 1 2 3 4 5



0 3,209 3,367 3,871 4,239 4,929 5,217



Loss Reserving Techniques in Non-Life (E. Van den Borre)



26



Chain ladder, Variant I



Fortis Bank Insurance Corporate Actuarial Control



6 Estimated Reserves Year of origin Reserve 0 0 1 22 2 40 3 76 4 -6,794 5 2,306 Total: -4,350



Loss Reserving Techniques in Non-Life (E. Van den Borre)



27



Chain ladder, Variant I



Fortis Bank Insurance Corporate Actuarial Control



6



Loss Reserving Techniques in Non-Life (E. Van den Borre)



28



Chain ladder, Variant I



Fortis Bank Insurance Corporate Actuarial Control



6



6



6 4,456 4,752 5,460 6,096 7,523



6 Loss Reserving Techniques in Non-Life (E. Van den Borre)



29



Chain ladder, Variant I



Fortis Bank Insurance Corporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



30



Chain ladder, Variant I



Fortis Bank Insurance Corporate Actuarial Control



The chain ladder method, Variant II Calculation of the weighted average of each column (w ij =( i+j+1)2) The d-triangle Year of origin 0 1 2 3 4 5 6



0 0.930 0.964 0.991 0.988 0.967



1 0.971 0.966 0.975 0.989



Development year 2 3 4 0.994 0.997 1.000 0.995 0.998 0.996



5



6



Calculation d0 t-j j



5 0 wi0



i 0 1 2 3 4



di0 1 2 3 4 5



Calculation d1 t-j



0.9305 0.9638 0.9912 0.9882 0.9674



wi0*di0 0.930452 1.927556 2.973596 3.952806 4.836882



d0



0.974753



di1



wi1*di1 1.942968 2.899374 3.901261 4.94595



5



j



1 wi1



i 0 1 2 3



2 3 4 5



0.9715 0.9665 0.9753 0.9892 d1



0.977825



Calculation d2 t-j j



4 2 wi2



i 0 1 2



di2 3 4 5



wi2*di2 0.9940 2.981988 0.9952 3.980765 0.9960 4.979971



d2 Calculation d3 t-j j



0.995227



3 3



Loss Reserving Techniques in Non-Life (E. Van den Borre)



31



Chain ladder, Variant II



Fortis Bank Insurance Corporate Actuarial Control



wi3



i 0 1



di3 4 5



wi3*di3 0.9969 3.987472 0.9979 4.989496



d3 Calculation d4 t-j j



0.997441



2 4 wi4



i 0



di4 5



wi1*di4 1.0000



5



d4



1



Completion of the d-triangle d0 0.9748 d1



0.9778



d2



0.9952



d3



0.9974



d4



1.0000 1.0000



d5



Year of origin 0 1 2 3 4 5 6



0 0.930 0.964 0.991 0.988 0.967 0.975



1 0.971 0.966 0.975 0.989 0.978 0.978



Development year 2 3 0.994 0.997 0.995 0.998 0.996 0.997 0.997 0.997 0.997



4 1.000 1.000 1.000 1.000 1.000 1.000



5 1.000 1.000 1.000 1.000 1.000 1.000



6



Development year 2 3 4 4,411 4,428 4,435 4,696 4,720 4,730 5,398 5,420 5,406 6,020 6,643 4,973 -



5 4,456 4,730 5,406 -



6 4,456 4,730 5,406 -



The completed cumulative triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



1 4,372 4,659 5,345 5,917 6,794 5,085



The completed incremental run-off triangle Year of origin 0 1 2 3 4 5



0 3,209 3,366 3,869 4,236 4,925 5,212



1 1,163 1,292 1,474 1,678 1,865 (132)



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Development year 2 3 39 17 37 24 53 22 103 (6,020) (151) (6,643) (113) (4,973) 32



4 7 10 (14) -



5 21 -



6 Chain ladder, Variant II



Fortis Bank Insurance Corporate Actuarial Control



6



Loss Reserving Techniques in Non-Life (E. Van den Borre)



33



Chain ladder, Variant II



Fortis Bank Insurance Corporate Actuarial Control



Estimated Reserves Year of origin Reserve 0 0 1 0 2 -14 3 -6,020 4 -6,794 5 -5,217 Total: -18,045



Loss Reserving Techniques in Non-Life (E. Van den Borre)



34



Chain ladder, Variant II



Fortis Bank Insurance Corporate Actuarial Control



The chain ladder method, Variant III The logarithm of the cumulative run-off triangle. The cumulative run-off triangle Development year Year of origin 0 1 2 3 0 3,209 4,372 4,411 4,428 1 3,367 4,659 4,696 4,720 2 3,871 5,345 5,398 5,420 3 4,239 5,917 6,020 4 4,929 6,794 5 5,217 6



4 4,435 4,730



5 4,456



6



4 8.40 8.46



5 8.40



6



ln(Cumulative triangle) Year of origin



0 8.07 8.12 8.26 8.35 8.50 8.56



0 1 2 3 4 5 6



1 8.38 8.45 8.58 8.69 8.82



Development year 2 3 8.39 8.40 8.45 8.46 8.59 8.60 8.70



Estimation of the lineair least square parameters Method 1 (using Excel functions)  column 0: 0.104684923 a0 8.050189709  column 1: 0.112066733  column 2:



a1 



8.360432289 0.107227495



column 3:



a2 



8.374896106 0.1010739



column 4:



a3 



8.383298922 0.064397587



column 5:



a4 



8.397282895 Err:504



a5



Err:504



Estimation of the cost level adjustment factors   0.1047   0.1121   0.1072   0.1011   0.0644   Err:504



Loss Reserving Techniques in Non-Life (E. Van den Borre)



1.110361 1.118588 1.113187 1.106358 1.066516 Err:504



35



Chain ladder, Variant III



Fortis Bank Insurance Corporate Actuarial Control



Cost level adjustment of the incremental run-off triangle The incremental run-off triangle Development year Year of origin 0 1 2 3 0 3,209 1,163 39 17 1 3,367 1,292 37 24 2 3,871 1,474 53 22 3 4,239 1,678 103 4 4,929 1,865 5 5,217 6 n-(i+j)



4 7 10



5 21



6



4 1.00 0.00



5 0.00



6



4 7.47 10.00



5 Err:504



6



(n = 6)



Year of origin



0 5.00 4.00 3.00 2.00 1.00 0.00



1 4.00 3.00 2.00 1.00 0.00



0 5,416.14 5,117.99 5,299.26 5,226.27 5,472.97 5,217.00



1 1,820.79 1,808.31 1,844.32 1,876.99 1,865.00



0 1 2 3 4 5 6



Development year 2 3 3.00 2.00 2.00 1.00 1.00 0.00 0.00



The x'-run-off triangle Year of origin 0 1 2 3 4 5 6



Completion of the x'-run-off-triangle column 0 j 0 n-j 6 w x'i,0 i i,0 0 1 2 3 4 5 6 x'0



1 2 3 4 5 6 7 28



5,416.14 5,117.99 5,299.26 5,226.27 5,472.97 5,217.00 0.00



Development year 2 3 53.80 20.81 45.85 26.55 59.00 22.00 103.00



wi,0 x'i,0 5416.143 10235.98 15897.79 20905.07 27364.84 31302 0 111121.8



3968.6364



Loss Reserving Techniques in Non-Life (E. Van den Borre)



36



Chain ladder, Variant III



Fortis Bank Insurance Corporate Actuarial Control



column 1 j n-j



1 5 wi,01



i 0 1 2 3 4 5 x'1



wi,0 x'i,1 1,820.79 1,808.31 1,844.32 1,876.99 1,865.00 0.00



3641.578 5424.924 7377.299 9384.949 11190 0 37018.75



1371.0648



column 2 j n-j



2 4 wi,2



i 0 1 2 3 4 x'2 column 3 j n-j



x'i,2 3 4 5 6 7 25



53.80 45.85 59.00 103.00 0.00



wi,2 x'i,2 161.3953 183.3996 294.9947 618 0 1257.79



20.81 26.55 22.00 0.00



wi,3 x'i,3 83.23397 132.763 132 0 347.997



50.311581 3 3 wi,3



i 0 1 2 3 x'3



x'i,3 4 5 6 7 22



15.818044



column 4 j n-j



4 2 wi,4



i 0 1 2 x'4



x'i,4 5 6 7 18



wi,4 x'i,4 7.47 37.32807 10.00 60 0.00 0 97.32807



5.4071151



column 5 j n-j



5 1 wi,5



i 0 1 x'5



x'i,1 2 3 4 5 6 7 27



x'i,5 6 7 13



wi,5 x'i,5 Err:504 0.00



Err:504 0 Err:504



Err:504



Loss Reserving Techniques in Non-Life (E. Van den Borre)



37



Chain ladder, Variant III



Fortis Bank Insurance Corporate Actuarial Control



column 6 j n-j



6 0 wi,6



i 0 x'6



x'i,6



wi,6 x'i,6



7 7



0.00



0 0



0



The completed x'-run-off triangle Year of origin 0 1 2 3 4 5 6



0 5,416.14 5,117.99 5,299.26 5,226.27 5,472.97 5,217.00



Development year 2 3 53.80 20.81 45.85 26.55 59.00 22.00 103.00 15.82 50.31 15.82 50.31 15.82



4 7.47 10.00 5.41 5.41 5.41 5.41



5 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



6 0.00 0.00 0.00 0.00 0.00 0.00



Development year 2 3 -3.00 -2.00 -2.00 -1.00 -1.00 0.00 0.00 1.00 1.00 2.00 2.00 3.00



4 -1.00 0.00 1.00 2.00 3.00 4.00



5 0.00 1.00 2.00 3.00 4.00 5.00



6



Development year 2 3 39.00 17.00 37.00 24.00 53.00 22.00 103.00 17.50 56.01 19.36 62.35 21.42



4 7.00 10.00 5.77 6.15 6.56 7.00



5 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



6



Development year 2 3 4 4,411.00 4,428.00 4,435.00 4,696.00 4,720.00 4,730.00 5,398.00 5,420.00 5,425.77 6,020.00 6,037.50 6,043.65 6,850.01 6,869.37 6,875.93 6,813.00 6,834.42 6,841.42



5 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



6 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



1 1,820.79 1,808.31 1,844.32 1,876.99 1,865.00 1,371.06



Reversion of the cost level adjustment i+j-n Year of origin 0 1 2 3 4 5 6



0 -5.00 -4.00 -3.00 -2.00 -1.00 0.00



1 -4.00 -3.00 -2.00 -1.00 0.00 1.00



The completed incremental run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209.00 3,367.00 3,871.00 4,239.00 4,929.00 5,217.00



1 1,163.00 1,292.00 1,474.00 1,678.00 1,865.00 1,533.66



The completed cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209.00 3,367.00 3,871.00 4,239.00 4,929.00 5,217.00



1 4,372.00 4,659.00 5,345.00 5,917.00 6,794.00 6,750.66



Loss Reserving Techniques in Non-Life (E. Van den Borre)



38



Chain ladder, Variant III



Fortis Bank Insurance Corporate Actuarial Control



Estimated Reserves Year of origin Reserve 0 Err:504 1 Err:504 2 Err:504 3 Err:504 4 Err:504 5 Err:504 Total: Err:504



Loss Reserving Techniques in Non-Life (E. Van den Borre)



39



Chain ladder, Variant III



Fortis Bank Insurance Corporate Actuarial Control



The chain ladder method, Variant IV The logarithm of the cumulative run-off triangle. The cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



1 4,372 4,659 5,345 5,917 6,794



0 8.07 8.12 8.26 8.35 8.50 8.56



1 8.38 8.45 8.58 8.69 8.82



Development year 2 3 4,411 4,428 4,696 4,720 5,398 5,420 6,020



4 4,435 4,730



5 4,456



6



4 8.40 8.46



5 8.40



6



ln(Cumulative triangle) Year of origin 0 1 2 3 4 5 6



Development year 2 3 8.39 8.40 8.45 8.46 8.59 8.60 8.70



Estimation of the lineair least square parameters Method 1 (using Excel functions) a0 column 0: 0.104684923 column 1: column 2: column 3: column 4: column 5:



b0



8.050189709



a1



0.112066733



b1



8.360432289



a2



0.107227495



b2



8.374896106



a3



0.1010739



b3



8.383298922



a4



0.064397587



b4



8.397282895



a5



Err:504



b5



Err:504



Estimation of the cost level adjustment factors wj j w0 w1 w2



0 1 2



25







1.110361



16







1.118588



9







1.113187 1.106358 1.066516



w3



3



4







w4



4



1







Loss Reserving Techniques in Non-Life (E. Van den Borre)



40



Chain ladder, Variant IV



Fortis Bank Insurance Corporate Actuarial Control



w5



5 sum



 



 



0 55



0.1046849



'



Err:504 Err:504 Err:504



w0



27.75902 17.8974



0.1120667



'



Err:504



w1



 



0.1072275 0.1010739



' '



Err:504 Err:504



w2 w3



10.01869 4.425434







0.0643976



'



Err:504



w4



1.066516







Err:504



'



Err:504



w5



Err:504 Err:504



sum Cost level adjustment of the incremental run-off triangle The incremental run-off triangle Development year Year of origin 0 1 2 3 0 3,209 4,372 4,411 4,428 1 3,367 4,659 4,696 4,720 2 3,871 5,345 5,398 5,420 3 4,239 5,917 6,020 4 4,929 6,794 5 5,217 6 n-(i+j)



4 4,435 4,730



5 4,456



6



4 1 0



5 0



6



(n = 5)



Year of origin 0 1 2 3 4 5 6



0 5 4 3 2 1 0



1 4 3 2 1 0



0 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



1 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



Development year 2 3 3 2 2 1 1 0 0



x'-run-off triangle Year of origin 0 1 2 3 4 5 6



Development year 2 3 4 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



5 6 Err:504 #VALUE! Err:504



Completion of the x'-run-off triangle



Loss Reserving Techniques in Non-Life (E. Van den Borre)



41



Chain ladder, Variant IV



Fortis Bank Insurance Corporate Actuarial Control



column 0 j n-j



0 6 wi,0



i 0 1 2 3 4 5 6 x'0 column 1 j n-j



wi,0 x'i,0 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



Err:504 1 5 wi,01



i 0 1 2 3 4 5



x'i,1 2 3 4 5 6 7 27



x'1



wi,0 x'i,1 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



Err:504



column 2 j n-j



2 4 wi,2



i 0 1 2 3 4



x'i,2 3 4 5 6 7 25



x'2



wi,2 x'i,2 Err:504 Err:504 Err:504 Err:504 Err:504



Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



Err:504



column 3 j n-j



3 3 wi,3



i 0 1 2 3 x'3



x'i,0 1 2 3 4 5 6 7 28



x'i,3 4 5 6 7 22



wi,3 x'i,3 Err:504 Err:504 Err:504 Err:504



Err:504 Err:504 Err:504 Err:504 Err:504



Err:504



column 4



Loss Reserving Techniques in Non-Life (E. Van den Borre)



42



Chain ladder, Variant IV



Fortis Bank Insurance Corporate Actuarial Control



j n-j



4 2 wi,4



i 0 1 2



x'i,4 5 6 7 18



x'4



wi,4 x'i,4 Err:504 Err:504 Err:504



Err:504 Err:504 Err:504 Err:504



Err:504



column 5 j n-j



5 1 wi,5



i 0 1



x'i,5 6 7 13



x'5 column 6 j n-j



wi,5 x'i,5 Err:504 Err:504



Err:504 Err:504 Err:504



Err:504 6 0 wi,6



i 0 x'6



x'i,6 7 7



wi,6 x'i,6 #VALUE! #VALUE! #VALUE!



#VALUE!



The completed x'-run-off triangle Year of origin 0 1 2 3 4 5 6



0 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



1 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



Development year 2 3 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



4 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



5 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



6 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



Development year 2 3 -4.00 -3.00 -3.00 -2.00 -2.00 -1.00 -1.00 0.00 0.00 1.00 1.00 2.00 2.00 3.00



4 -2.00 -1.00 0.00 1.00 2.00 3.00 4.00



5 -1.00 0.00 1.00 2.00 3.00 4.00 5.00



6 0.00 1.00 2.00 3.00 4.00 5.00 6.00



Reversion of the cost-level adjustment i+j-n Year of origin 0 1 2 3 4 5 6



0 -6.00 -5.00 -4.00 -3.00 -2.00 -1.00 0.00



1 -5.00 -4.00 -3.00 -2.00 -1.00 0.00 1.00



The completed incremental run-off triangle



Loss Reserving Techniques in Non-Life (E. Van den Borre)



43



Chain ladder, Variant IV



Fortis Bank Insurance Corporate Actuarial Control



Year of origin 0 1 2 3 4 5 6



0 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



1 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



Development year 2 3 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



4 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



5 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



6 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



Development year 2 3 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



4 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



5 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



6 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



The completed cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



0 2,062.00 2,031.00 2,164.00 2,320.00 2,462.00 2,651.00 3,084.00



1 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504 Err:504



Estimated Reserves Year of origin Reserve 0 0.0 1 Err:504 2 Err:504 3 Err:504 4 Err:504 5 Err:504 6 Err:504 Total: Err:504



Loss Reserving Techniques in Non-Life (E. Van den Borre)



44



Chain ladder, Variant IV



Fortis Bank Insurance Corporate Actuarial Control



The chain ladder method Calculation of the proportionality factors. The final loss run-off triangle Year of origin 0 1 2 3 4 5 6



pj



0 4,975 5,135 5,681 6,272 7,326 7,353



1 4,629 4,949 5,631 6,198 7,087



1.0314



1.0241



0.96955



0.97646



Development year 2 3 4 4,497 4,470 4,456 4,783 4,760 4,750 5,492 5,470 6,131



1.0049



0.99513



1.0026



0.99740



5 4,456



6



1.0000



1.00000



DEVELOPMENT FAC



Completion of the cumulative run-off triangle Method 1 (using the proportionality factors p i,i+1) Year of origin 0 1 2 3 4 5 6



TOTAL



1 4,629.00 4,949.00 5,631.00 6,198.00 7,087.00 7,129.07



Development year 2 3 4 4,497.00 4,470.00 4,456.00 4,783.00 4,760.00 4,750.00 5,492.00 5,470.00 5,455.78 6,131.00 6,101.12 6,085.25 6,920.15 6,886.42 6,868.51 6,961.23 6,927.30 6,909.29



LATEST PALATEST IN 4,456.00 4,456.00 4,730.00 4,750.00 5,420.00 5,470.00 6,020.00 6,131.00 6,794.00 7,087.00 5,217 7,353 32,637 35,247



LATEST P/ ULT. PAID ULT. INC. 1 4,456.00 4,456.00 0.995789 4,752.40 4,750.00 0.990859 5,455.78 5,455.78 0.981895 6,086.06 6,085.25 0.958657 6,947.08 6,868.51 0.709506 7,366.66 6,909.29 0.925951 35,064 34,525



0 4,975 5,135 5,681 6,272 7,326 7,353



Loss Reserving Techniques in Non-Life (E. Van den Borre)



45



5 4,456.00 4,750.00 5,455.78 6,085.25 6,868.51 6,909.29



6 4,456.00 4,750.00 5,455.78 6,085.25 6,868.51 6,909.29



ULT. P/I, 1 1.0005046 1.00000129 1.00013342 1.01143965 1.06619617 1.01561652



The Munich chain ladder method



Fortis Bank Insurance Corporate Actuarial Control



Calculation of the proportionality factors. The final loss run-off triangle Year of ori 0 1 2 3 4 5 6



DEVELOPMENT FAC pj



0 3,209 3,367 3,871 4,239 4,929 5,217



1 4,372 4,659 5,345 5,917 6,794



0.7241



0.9887



1.38093



1.01143



Development year 2 3 4 4,411 4,428 4,435 4,696 4,720 4,730 5,398 5,420 6,020



0.9957



1.00434



0.9981



1.00186



46



6



0.9953



1.00474



Completion of the cumulative run-off triangle Method 1 (using the proportionality factors p i,i+1) Development year Year of ori 0 1 2 3 4 0 3,209 4,372.00 4,411.00 4,428.00 4,435.00 1 3,367 4,659.00 4,696.00 4,720.00 4,730.00 2 3,871 5,345.00 5,398.00 5,420.00 5,430.07 3 4,239 5,917.00 6,020.00 6,046.15 6,057.38 4 4,929 6,794.00 6,871.67 6,901.52 6,914.34 5 5,217 7,204.33 7,286.69 7,318.34 7,331.94 6



Loss Reserving Techniques in Non-Life (E. Van den Borre)



5 4,456



DEVELOPMENT FACTORS



5 4,456.00 4,752.40 5,455.78 6,086.06 6,947.08 7,366.66



6 4,456.00 4,752.40 5,455.78 6,086.06 6,947.08 7,366.66



The Munich chain ladder method



Fortis Bank Insurance Corporate Actuarial Control



DEVELOPMENT FACTORS



Loss Reserving Techniques in Non-Life (E. Van den Borre)



47



The Munich chain ladder method



Fortis Bank Insurance Corporate Actuarial Control



The Vylder's Least Square Method. Calculation of the proportionality factors. The cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



1 4,372 4,659 5,345 5,917 6,794



Development year 2 3 4 4,411 4,428 4,435 4,696 4,720 4,730 5,398 5,420 6,020



5 4,456



6



5 21



6



The incremental run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



1 1,163 1,292 1,474 1,678 1,865



The regression dataset X line 3,209 3,367 3,871 4,239 4,929 5,217 1,163 1,292 1,474 1,678 1,865 39 37 53 103 17 24 22 7 10 21



Development year 2 3 39 17 37 24 53 22 103



0 column 0 1 2 3 4 5 0 1 2 3 4 0 1 2 3 0 1 2 0 1 0



L0 0 0 0 0 0 0 1 1 1 1 1 2 2 2 2 3 3 3 4 4 5



4 7 10



1 L1



1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 1 0 1



2 L2



0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 1 0



3 L3



0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0



0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0



RAPPORT DÉTAILLÉ



Loss Reserving Techniques in Non-Life (E. Van den Borre)



48



De Vylder regression (1)



Fortis Bank Insurance Corporate Actuarial Control



Statistiques de la régression Coefficient de 0.9955403258 Coefficient d



0.9911005403



Coefficient d



0.9822010806



Erreur-type



243.97432754



Observations



21



ANALYSE DE VARIANCE Degré de liberté Somme des carrés Moyenne des carrés Régression



10



66289131.8



6628913.18



Résidus



10



595234.725



59523.4725



Total



20



66884366.6



Coefficients



F



Valeur critique de F



111.366372 6.827498E-009



Erreur-type



Statistique t Limite Probabilité inférieureLimite pour supérieure seuil de confiance pour seuil = 95% de confiance = 95%



1685.825



377.525692



4.46545768



0.00120588 844.645341872



L0



-1664.825



288.100982



-5.7786162



0.00017807 -2306.7539874 -1022.89601



L1



-1605.825



288.100982



-5.5738269



0.00023613 -2247.7539874 -963.896013



L2



-1423.825



290.672087 -4.89838915



0.00062461 -2071.4827682 -776.167232



L3



-1169.825



296.305791 -3.94803286



0.002739 -1830.0354428 -509.614557



L4



-605.7



308.605826 -1.96269788



0.07808574 -1293.3166285



81.9166285



C0



3531.175



288.100982



12.2567267 2.3935E-007 2889.24601258



4173.10399



C1



1102.575



288.100982



3.82704354



0.00333494 460.646012577



1744.50399



C2



-161.75



290.672087 -0.55646898



0.59012478 -809.40776819



485.907768



C3



-100



296.305791 -0.33748918



0.74272519 -760.21044275



560.210443



C4



-42



308.605826 -0.13609594



0.89444621 -729.61662848



645.616628



Constante



ANALYSE DES RÉSIDUS Observation



RÉPARTITION DES PROBABILITÉS



Prévisions X



Résidus



Centile



X



1



3552.175



-343.175



2.38095238



7



2



3611.175



-244.175



7.14285714



10



3



3793.175



77.825



11.9047619



17



4



4047.175



191.825



16.6666667



21



5



4611.3



317.7



21.4285714



22



6



5217



0



26.1904762



24



7



1123.575



39.425



30.952381



37



8



1182.575



109.425



35.7142857



39



9



1364.575



109.425



40.4761905



53



10



1618.575



59.425



45.2380952



103



11



2182.7



-317.7



50



1163



12



-140.75



179.75



54.7619048



1292



13



-81.75



118.75



59.5238095



1474



14



100.25



-47.25



64.2857143



1678



15



354.25



-251.25



69.047619



1865



16



-79



96



73.8095238



3209



17



-20



44



78.5714286



3367



18



162



-140



83.3333333



3871



19



-21



28



88.0952381



4239



20



38



-28



92.8571429



4929



21



21 6.8212E-013



97.6190476



5217



Loss Reserving Techniques in Non-Life (E. Van den Borre)



2527.00466



49



De Vylder regression (1)



Fortis Bank Insurance Corporate Actuarial Control



The incured projected run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,552 3,611 3,793 4,047 4,611 5,217



1 1,124 1,183 1,365 1,619 2,183 2,788



3,531



1102.575



Development year 2 3 4 (141) (79) (21) (82) (20) 38 100 162 220 354 416 474 918 980 1,038 1,524 1,586 1,644



-161.75



(100)



5 21 80 262 516 1,080 1,686



(42)



-



4 28 (28)



-



6



Estimated Reserves Year of origin Reserve 0 0 1 80 2 482 3 4 4017 5 9228 Total: Residuals Year of origin 0 1 2 3 4 5 6



0 (343) (244) 78 192 318 -



Loss Reserving Techniques in Non-Life (E. Van den Borre)



1 39 109 109 59 (318)



Development year 2 3 180 96 119 44 (47) (140) (251)



50



5



6



De Vylder regression (1)



Fortis Bank Insurance Corporate Actuarial Control



4 L4



0 C0



0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0



1 C1



1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0



2 C2



0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0



Loss Reserving Techniques in Non-Life (E. Van den Borre)



3 C3



0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0



4 C4



0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0



51



5 C5



0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0



0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1



De Vylder regression (1)



Fortis Bank Insurance Corporate Actuarial Control



mite inférieure Limite poursupérieure seuil de confiance pour seuil= de 95,0% confiance = 95,0% 844.645342



2527.00466



-2306.75399 -1022.89601 -2247.75399 -963.896013 -2071.48277 -776.167232 -1830.03544 -509.614557 -1293.31663



81.9166285



2889.24601



4173.10399



460.646013



1744.50399



-809.407768



485.907768



-760.210443



560.210443



-729.616628



645.616628



Loss Reserving Techniques in Non-Life (E. Van den Borre)



52



De Vylder regression (1)



Fortis Bank Insurance Corporate Actuarial Control



(1,665) (1,606) (1,424) (1,170) (606) -



1,686



Loss Reserving Techniques in Non-Life (E. Van den Borre)



53



De Vylder regression (1)



Fortis Bank Insurance Corporate Actuarial Control



The Vylder's Least Square Method. Estimation of the parameters The triangle of the model Year of origin



0



1



Development year 2 3 p3S0 p4S0



0 p0S0 1 p0S1



p1S0



p2S0



p1S1



p2S1



p3S1



p4S1



2 p0S2 3 p0S3



p1S2



p2S2



p3S2



p4S2



p1S3



p2S3



p3S3



4 p0S4 5 p0S5



p1S4



p2S4



4



5 p5S0



6 p6S0



p5S1



p1S5



6 p0S6 The incremental run-off triangle Year of origin



0 3,209 3,367 3,871 4,239 4,929 5,217



0 1 2 3 4 5 6



Iteration 1. 2. 3. 4. 5. rescaled



p



Development year 2 3 39 17 37 24 53 22 103



1 1,163 1,292 1,474 1,678 1,865



p



p



p



4 7 10



p



p



0.50000 0.56732 0.57067 0.57078 0.57078



0.30000 0.22930 0.21817 0.21778 0.21777



0.20000 0.01033 0.00934 0.00933 0.00933



0.10000 0.00384 0.00345 0.00344 0.00344



0.05000 0.00166 0.00149 0.00149 0.00149 sum pj



0.70767



0.27000



0.01156



0.00427



0.00184



The resulting parameters pr 0.70767 Loss Reserving Techniques in Non-Life (E. Van den Borre)



Sr



5 21



6



S



S



S



S



S



S



0.04000 0.00421 0.00377 0.00376 0.00376



4984 5574 5586 5586 5586



5303 5892 5902 5903 5903



6090 6767 6780 6780 6780



6957 7451 7463 7463 7463



8894 8610 8626 8626 8626



10434 9196 9142 9140 9140



0.80657 0.00466



4505



5468



6019



6956



6435



7372



4,505.4751 54



De Vylder regression (2)



Fortis Bank Insurance Corporate Actuarial Control



pr pr



0.27000



Sr



5,468.4782 6,019.1588



0.01156



Sr



pr



0.00427



Sr



6,956.2030



pr



0.00184



Sr



6,435.3532



0.00466



Sr



7,372.1232



pr



The completed incremental run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,188.37 3,869.86 4,259.55 4,922.67 4,554.08 5,217.00



1 1,216.46 1,476.47 1,625.15 1,878.15 1,737.52 1,990.45



Development year 2 3 52.10 19.24 63.24 23.35 69.61 25.70 80.44 29.70 74.42 27.48 85.25 31.48



4 8.30 10.07 11.09 12.81 11.85 13.58



5 21.00 25.49 28.06 32.42 30.00 34.36



6



Development year 2 3 4,456.94 4,476.18 5,409.57 5,432.92 5,954.31 5,980.02 6,881.26 6,910.97 6,366.02 6,393.50 7,292.70 7,324.18



4 4,484.48 5,442.99 5,991.10 6,923.78 6,405.36 7,337.76



5 4,505.48 5,468.48 6,019.16 6,956.20 6,435.35 7,372.12



6



The completed cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,188.37 3,869.86 4,259.55 4,922.67 4,554.08 5,217.00



1 4,404.83 5,346.33 5,884.71 6,800.82 6,291.60 7,207.45



Loss Reserving Techniques in Non-Life (E. Van den Borre)



55



De Vylder regression (2)



Fortis Bank Insurance Corporate Actuarial Control



The linear Arithmetic Separation Method In this example the seperation method starts from the non-cumulative triangle. We assume therefore that the triangle that was given always has an estimate of one accident at the end of year 0. Estimation of the parameters The triangle of the model Year of origin 0 1 2 3 4 5 6



0 r r r r r r



Development year 2 3 r r r r r r r



1 r r r r r



4 r r



5 r



The incremental run-off triangle Year of origin 0 1 2 3 4 5 6 Calculation of r5 and 5 5 r5 Calculation of r4 and 4 4 r4 Calculation of r3 and 3 3 r3 Calculation of r2 and 2 2 r2 Calculation of r1 and 1 1 r1 Calculation of r0 and 0 0 r0



0 3,209 3,367 3,871 4,239 4,929 5,217



1 1,163 1,292 1,474 1,678 1,865



Development year 2 3 39 17 37 24 53 22 103



4 7 10



5 21



7,238.00 0.0029 6,710.47 0.0012 5,790.86 0.0032 5,240.32 0.0093 4,606.46 0.2526 4,390.78 0.7308



Loss Reserving Techniques in Non-Life (E. Van den Borre)



56



Linear Arithmetic Separation



Fortis Bank Insurance Corporate Actuarial Control



Estimation of the parameters corresponding to the future calender years. The values resulting The known from the values lin. regression 0 1 2 3 4 5 6 7 8 9  10  11  12



0 1 2 3 4 5 6 7 8 9 10 11 12



The regression parameters a b The resulting parameters r0 r1 r2 r3 r4 r5



4,391 4,606 5,240 5,791 6,710 7,238



4,156 4,759 5,361 5,964 6,567 7,170 7,773 8,375 8,978 9,581 10,184 10,787 11,390



602.82 4,155.77 inflation 0.7308 0 0.2526 1



4,391 4,606



4.9%



0.0093 2 0.0032 3



5,240



13.8%



5,791



10.5%



0.0012 4 0.0029 5



6,710



15.9%



7,238



7.9%



6



7,773



7.4%



7



8,375



7.8%



8



8,978



7.2%



9



9,581



6.7%



10



10,184



6.3%



11



10,787



5.9%



12



11,390



5.6%



The completed incremental run-off triangle Year of origin 0 1 2 3 4 5



Loss Reserving Techniques in Non-Life (E. Van den Borre)



0 3,209 3,367 3,871 4,239 4,929 5,217



1 1,163 1,292 1,474 1,678 1,865 1,963



57



Development year 2 3 39 17 37 24 53 22 103 25 72 27 78 29



4 7 10 9 10 11 12



5 21 23 24 26 28 30



Linear Arithmetic Separation



Fortis Bank Insurance Corporate Actuarial Control



6



Loss Reserving Techniques in Non-Life (E. Van den Borre)



58



Linear Arithmetic Separation



Fortis Bank Insurance Corporate Actuarial Control



The completed cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



Loss Reserving Techniques in Non-Life (E. Van den Borre)



0 3,209 3,367 3,871 4,239 4,929 5,217



1 4,372 4,659 5,345 5,917 6,794 7,180



59



Development year 2 3 4,411 4,428 4,696 4,720 5,398 5,420 6,020 6,045 6,866 6,893 7,258 7,286



4 4,435 4,730 5,429 6,055 6,904 7,298



5 4,456 4,753 5,454 6,081 6,932 7,328



Linear Arithmetic Separation



Fortis Bank Insurance Corporate Actuarial Control



od



sume therefore that the



6



6



Loss Reserving Techniques in Non-Life (E. Van den Borre)



60



Linear Arithmetic Separation



Fortis Bank Insurance Corporate Actuarial Control



73.08498 25.2551 0.928756 0.31916 0.121877 0.290135



6



Loss Reserving Techniques in Non-Life (E. Van den Borre)



61



Linear Arithmetic Separation



Fortis Bank Insurance Corporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



62



Linear Arithmetic Separation



Fortis Bank Insurance Corporate Actuarial Control



6



Loss Reserving Techniques in Non-Life (E. Van den Borre)



63



Linear Arithmetic Separation



Fortis Bank Insurance Corporate Actuarial Control



The linear Arithmetic Separation Method In this example the seperation method starts from the non-cumulative triangle. We assume therefore that the triangle that was given always has an estimate of one accident at the end of year 0.



Estimation of the parameters The triangle of the model Development year Year of origin 0 1 2 3 4 5 6



0 r r r r r r



1 r r r r r



2 r r r r



3 r r r



4 r r



5 r



6



The incremental run-off triangle Development year Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



Calculation of r5 and 5 5 r5



7,238.00 0.0029



Calculation of r4 and 4 4 r4



6,710.47 0.0012



Calculation of r3 and 3 3 r3 Calculation of r2 and 2 2 r2 Calculation of r1 and 1 1 r1 Calculation of r0 and 0 0 r0



1 1,163 1,292 1,474 1,678 1,865



2 39 37 53 103



3 17 24 22



4 7 10



5 21



6



5,790.86 0.0032 5,240.32 0.0093 4,606.46 0.2526 4,390.78 0.7308



Loss Reserving Techniques in Non-Life (E. Van den Borre)



64



Exp. Arithmetic separation



Fortis Bank Insurance Corporate Actuarial Control



Estimation of the parameters corresponding to the future calender years. The known values 0 1 2 3 4 5 6 7 8 9  10  11  12



0 1 2 3 4 5 6 7 8 9 10 11 12



4,391 4,606 5,240 5,791 6,710 7,238



The values resulting from the lin. regression 4266.70513 4746.21776 5279.62029 5872.96915 6533.00137 7267.21115 8083.93492 8992.446 10003.0599 11127.2513 12377.7848 13768.8592 15316.2691



The regression parameters m 1.112385 b 4,266.71 The resulting parameters r0 0.7308 0 r1 0.2526 1 r2 r3 r4 r5



inflation 4390.78 4606.46



4.9%



0.0093 2 0.0032 3



5240.32



13.8%



5790.86



10.5%



0.0012 4 0.0029 5



6710.47



15.9%



7238.00



7.9%



6



8083.93



11.7%



7



8992.45



11.2%



8



10003.06



11.2%



9



11127.25



11.2%



10



12377.78



11.2%



11



13768.86



11.2%



12



15316.27



11.2%



The completed incremental run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



Loss Reserving Techniques in Non-Life (E. Van den Borre)



1 1,163 1,292 1,474 1,678 1,865 2,042



Development year 2 3 39 17 37 24 53 22 103 26 75 29 84 32



65



4 7 10 10 11 12 14



5 21 23 26 29 32 36



6



Exp. Arithmetic separation



Fortis Bank Insurance Corporate Actuarial Control



The completed cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



Loss Reserving Techniques in Non-Life (E. Van den Borre)



1 4,372 4,659 5,345 5,917 6,794 7,259



Development year 2 3 4,411 4,428 4,696 4,720 5,398 5,420 6,020 6,046 6,869 6,898 7,342 7,374



66



4 4,435 4,730 5,430 6,057 6,910 7,388



5 4,456 4,753 5,456 6,086 6,942 7,424



6



Exp. Arithmetic separation



Fortis Bank Insurance Corporate Actuarial Control



The Linear Geometric Separation Method In this example the seperation method starts from the non-cumulative triangle. We assume therefore that the triangle that was given always has an estimate of one accident at the end of year 0. Estimation of the parameters The triangle of the model Year of origin 0 1 2 3 4 5 6



0 r r r r r r



1 r r r r r



Development year 2 3 r r r r r r r



4 r r



5 r



6



The incremental run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



Calculation of r5 and 5 5 r5



129.10 0.1627



Calculation of r4 and 4 4 r4



103.68 0.0723



Calculation of r3 and 3 3 r3 Calculation of r2 and 2 2 r2 Calculation of r1 and 1 1 r1 Calculation of r0 and 0 0 r0



1 1,163 1,292 1,474 1,678 1,865



Development year 2 3 39 17 37 24 53 22 103



4 7 10



5 21



6



82.46 0.2011 77.27 0.5513 71.46 16.2619 68.05 47.1533



Loss Reserving Techniques in Non-Life (E. Van den Borre)



67



Linear Geometric Separation



Fortis Bank Insurance Corporate Actuarial Control



Estimation of the parameters corresponding to the future calender years. The known values 0 1 2 3 4 5 6 7 8 9  10  11  12



0 1 2 3 4 5 6 7 8 9 10 11 12



The regression parameters a b



68.1 71.5 77.3 82.5 103.7 129.1



r3 r4 r5



59.6 71.2 82.9 94.5 106.1 117.7 129.4 141.0 152.6 164.3 175.9 187.5 199.2



11.63 59.59



The resulting parameters r0 47.1533 0 r1 16.2619 1 r2



The values resulting from the lin. regression



68.0547 71.4611



0.5513 2 0.2011 3



77.2735



0.0723 4 0.1627 5



103.6776



6



129.3777



7



141.00822



8



152.63869



9



164.26916



10



175.89964



82.4585 129.1011



11



187.53011



12



199.16058



The completed incremental run-off triangle Year of origin 0 1 2 3 4 5



0 3,209 3,367 3,871 4,239 4,929 5,217



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Development year 2 3 39 17 37 24 53 22 103 26 71 28 78 31



1 1,163 1,292 1,474 1,678 1,865 2,104



68



4 7 10 9 10 11 12



5 21 21 23 25 27 29



6



Linear Geometric Separation



Fortis Bank Insurance Corporate Actuarial Control



6



Loss Reserving Techniques in Non-Life (E. Van den Borre)



69



Linear Geometric Separation



Fortis Bank Insurance Corporate Actuarial Control



The completed cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Development year 2 3 4,411 4,428 4,696 4,720 5,398 5,420 6,020 6,046 6,865 6,894 7,399 7,429



1 4,372 4,659 5,345 5,917 6,794 7,321



70



4 4,435 4,730 5,429 6,056 6,905 7,441



5 4,456 4,751 5,452 6,081 6,931 7,470



6



Linear Geometric Separation



Fortis Bank Insurance Corporate Actuarial Control



The Exponential Geometric Separation Method In this example the seperation method starts from the non-cumulative triangle. We assume therefore that the triangle that was given always has an estimate of one accident at the end of year 0. Estimation of the parameters The triangle of the model Year of origin 0 1 2 3 4 5 6



0 r r r r r r



1 r r r r r



Development year 2 3 r r r r r r r



4 r r



5 r



6



The incremental run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



Calculation of r5 and 5 5 r5



129.10 0.1627



Calculation of r4 and 4 4 r4



103.68 0.0723



Calculation of r3 and 3 3 r3 Calculation of r2 and 2 2 r2 Calculation of r1 and 1 1 r1 Calculation of r0 and 0 0 r0



Development year 2 3 39 17 37 24 53 22 103



1 1,163 1,292 1,474 1,678 1,865



4 7 10



5 21



6



82.46 0.2011 77.27 0.5513 71.46 16.2619 68.05 47.1533



Loss Reserving Techniques in Non-Life (E. Van den Borre)



71



Exp. Geometric Separation



Fortis Bank Insurance Corporate Actuarial Control



Estimation of the parameters corresponding to the future calender years. The known values 0 1 2 3 4 5 6 7 8 9  10  11  12



0 1 2 3 4 5 6 7 8 9 10 11 12



The regression parameters m b The resulting parameters r0 r1 r2 r3 r4 r5



68.1 71.5 77.3 82.5 103.7 129.1



The values resulting from the lin. regression 63.146 71.569 81.117 91.938 104.202 118.103 133.857 151.714 171.953 194.891 220.890 250.356 283.754



1.13 63.15



47.1533 0 16.2619 1



68.0547



0.5513 2 0.2011 3



77.2735



0.0723 4 0.1627 5



103.6776



6



133.857



7



151.714



8



171.953



9



194.891



10



220.890



11



250.356



12



283.754



71.4611 82.4585 129.1011



The completed incremental run-off triangle Year of origin 0 1 2 3 4 5



0 3,209 3,367 3,871 4,239 4,929 5,217



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Development year 2 3 39 17 37 24 53 22 103 27 74 31 84 35



1 1,163 1,292 1,474 1,678 1,865 2,177



72



4 7 10 10 11 12 14



5 21 22 25 28 32 36



6



Exp. Geometric Separation



Fortis Bank Insurance Corporate Actuarial Control



6



Loss Reserving Techniques in Non-Life (E. Van den Borre)



73



Exp. Geometric Separation



Fortis Bank Insurance Corporate Actuarial Control



The completed cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Development year 2 3 4,411 4,428 4,696 4,720 5,398 5,420 6,020 6,047 6,868 6,898 7,477 7,512



1 4,372 4,659 5,345 5,917 6,794 7,394



74



4 4,435 4,730 5,430 6,058 6,911 7,526



5 4,456 4,752 5,454 6,086 6,942 7,562



6



Exp. Geometric Separation



Fortis Bank Insurance Corporate Actuarial Control



The chain ladder method (Mack estimation) Calculation of the proportionality factors. The cumulative run-off triangle Year of origin



Development year 2 3 4 4,411 4,428 4,435 4,696 4,720 4,730 5,398 5,420 6,020



0 3,209 3,367 3,871 4,239 4,929 5,217



1 4,372 4,659 5,345 5,917 6,794



1.38093 1.41205



1.01143 1.02253



1.00434 1.01097



1.00186 1.00660



1.00474 1.00474



1.00000



24,832 19,615



27,087 27,087



20,525 20,525



14,568 14,568



9,165 9,165



4,456 4,456



0 1.362 1.384 1.381 1.396 1.378



1 1.009 1.008 1.010 1.017



1.100 0.026 0.000 0.943 0.032



0.028 0.057 0.012 0.211



0.001 0.003 0.000



0.000 0.000



0.5254 0.5254



0.1026 0.1026



0.0021 0.0021



0.0007 0.0007



0.0000 0.0002



Process Variance Multiplier Annual 0.38905 Reserve 0.49462



0.10259 0.10556



0.00211 0.00298



0.00066 0.00087



0.00021 0.00021



Parameter Varia Annual 0.00001



0.00000



0.00000



0.00000



0.00000



0 1 2 3 4 5 6



pj



sums



5 4,456



6



-



The d-triangle Year of origin 0 1 2 3 4 5 6



Development year 2 3 4 1.004 1.002 1.005 1.005 1.002 1.004



5



6



Error term



Loss Reserving Techniques in Non-Life (E. Van den Borre)



75



Mack coefficients



Fortis Bank Insurance Corporate Actuarial Control



Reserve



0.00001



0.00000



0.00000



0.00000



0.00000



3 0.00000 2.23E-008 6.72E-008 6.72E-008 6.72E-008 6.72E-008



4 0.00000 2.23E-008 6.72E-008 1.68E-007 1.68E-007 1.68E-007



5 0.00000 2.23E-008 6.72E-008 1.68E-007 3.79E-006 3.79E-006



6 0.00001 2.2321E-008 6.7215E-008 1.6775E-007 0.00000379 1.3738E-005



Covariance Matrix - Estimation Error Only 2 3 4456 4752 2 4456 0.4432034763 0.472684 3 4752 0.4726837526 1.518064 4 5456 0.5426441605 1.742748 5 6086 0.6053332619 1.944079 6 6947 0.6909720811 2.219115



4 5456 0.542644 1.742748 4.99323 5.570074 6.358093



5 6086 0.605333 1.944079 5.570074 140.3817 160.242



6 6947 0.69097208 2.2191154 6.35809338 160.242046 663.007524



4 2.23 0.36 0.63 1.00 0.21 0.11



5 11.85 0.08 0.13 0.21 1.00 0.53



6 25.75 0.04 0.07 0.11 0.53 1.00



Matrix of Estimation Error Factors



2 3 4 5 6



0.00000 0.00000 0.00000 0.00000 0.00001



2 0.00000 2.23210E-008 2.23210E-008 2.23210E-008 2.23210E-008 2.23210E-008



Correlation Matrix - Estimation Error Only 2 0.67 2 0.67 1.00 3 1.23 0.58 4 2.23 0.36 5 11.85 0.08 6 25.75 0.04



Loss Reserving Techniques in Non-Life (E. Van den Borre)



3 1.23 0.58 1.00 0.63 0.13 0.07



76



Mack coefficients



Fortis Bank Insurance Corporate Actuarial Control



Diagonal LDF Reserves Ultimate Proc Mult Proc Sdev 4,456 1.00000 0 4,456 4,730 1.00474 22 4,752 0.00021 0.99 5,420 1.00660 36 5,456 0.00087 2.18 6,020 1.01097 66 6,086 0.00298 4.26 6,794 1.02253 153 6,947 0.10556 27.08 5,217 1.41205 2,150 7,367 0.49462 60.36 32,637



4.42% 6.09% 6.44% 17.69% 2.81%



0.67 1.23 2.23 11.85 25.75



2,427 66.34



4456 4752.397 5455.784 6086.065 6947.084



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Param Sdev



4456 0.443203 0.472684 0.542644 0.605333 0.690972



77



4752.397 0.472684 1.518064 1.742748 1.944079 2.219115



5455.784 0.542644 1.742748 4.99323 5.570074 6.358093



2.73% 34.22162 6086.065 0.605333 1.944079 5.570074 140.3817 160.242



6947.084 0.690972 2.219115 6.358093 160.242 663.0075



Mack coefficients



Fortis Bank Insurance Corporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



78



Mack coefficients



Fortis Bank Insurance Corporate Actuarial Control



Param Sdev



Total Sdev 2.97% 3.44% 3.38% 7.74% 1.20%



1.19 2.50 4.81 29.56 65.63



5.33% 6.99% 7.28% 19.31% 3.05%



1.41%



75



3.08%



Loss Reserving Techniques in Non-Life (E. Van den Borre)



79



Mack coefficients



Fortis Bank Insurance Corporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



80



Mack coefficients



Fortis Bank Insurance Corporate Actuarial Control



The chain ladder method (Mack estimation) Calculation of the proportionality factors. The cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



1 4,372 4,659 5,345 5,917 6,794



0 0.734 0.723 0.724 0.716 0.725



1 0.991 0.992 0.990 0.983



0.724



0.991



0



1



Development year 2 3 4 4,411 4,428 4,435 4,696 4,720 4,730 5,398 5,420 6,020



5 4,456



6



5



6



5



6



The 1/d-triangle Year of origin 0 1 2 3 4 5 6 median



Development year 2 3 4 0.996 0.998 0.995 0.995 0.998 0.996



0.996



0.998



0.995



The 1/d-triangle Year of origin



+ = +



0 1 2 3 4 5 6 Diagonal



N0 1 2 3 4



+ + -



N+ 1 3 2



Loss Reserving Techniques in Non-Life (E. Van den Borre)



+ =



Development year 2 3



+ -



N 1 1 2 1 1 Total :



n 1 1 1 3



81



=



4



m 1 2 2 4 3



E(N) 0 0 0 1 1



0.5000 0.5000 1.2500 0.7500 3.0000



Var(N) 0.75 0.75 3.44 1.69 6.63



Mack coefficients (2)



Fortis Bank Insurance Corporate Actuarial Control



1 1 -



inf 0 -1.19741 -1.19741 -2.383937 -1.796115 - 2.04



1 1



1 -



1



-



1 1



1 1 -



1 -



1 -



-



sup 2.20 2.20 4.88 3.30 8.04



Loss Reserving Techniques in Non-Life (E. Van den Borre)



82



Mack coefficients (2)



Fortis Bank Insurance Coporate Actuarial Control



Christophides linear model The incremental run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



1 1,163 1,292 1,474 1,678 1,865



Development year 2 3 39 17 37 24 53 22 103



4 7 10



5 21



6



4 1.95 2.30



5 3.04



6



Log (incremental run-off triangle Year of origin 0 1 2 3 4 5 6



0 8.07 8.12 8.26 8.35 8.50 8.56



Loss Reserving Techniques in Non-Life (E. Van den Borre)



1 7.06 7.16 7.30 7.43 7.53



Development year 2 3 3.66 2.83 3.61 3.18 3.97 3.09 4.63



Christophides (lin regr)



83



Fortis Bank Insurance Coporate Actuarial Control 0 Year of origin 0 0 0 0 0 0 1 1 1 1 1 2 2 2 2 3 3 3 4 4 5



Development year 0 1 2 3 4 5 0 1 2 3 4 0 1 2 3 0 1 2 0 1 0



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Pij



Yij



3,209 1,163 39 17 7 21 3,367 1,292 37 24 10 3,871 1,474 53 22 4,239 1,678 103 4,929 1,865 5,217



8.074 7.059 3.664 2.833 1.946 3.045 8.122 7.164 3.611 3.178 2.303 8.261 7.296 3.970 3.091 8.352 7.425 4.635 8.503 7.531 8.560



a0



1 a1



1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0



2 a2



0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0



3 a3



0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0



Christophides (lin regr)



4 a4



0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0



5 a5



0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0



0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1



1 b1 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 1 0



2 b2 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0



3 b3 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0



4 b4 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0



5 b5 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0



84



Fortis Bank Insurance Coporate Actuarial Control RAPPORT DÉTAILLÉ Statistiques de la régression Coefficient de d 0.9987258137 Coefficient de d 0.997453251 Coefficient de d 0.894906502 Erreur-type 0.1752879878 Observations 21 ANALYSE DE VARIANCE Degré de libertéSomme des Moyenne carrés des carrésFValeur critique de F Régression 11 120.3402 10.94002 391.657 1E-010 Résidus 10 0.307259 0.030726 Total 21 120.6475



Constante a0 a1 a2 a3 a4 a5 b1 b2 b3 b4 b5



Coefficients Erreur-typeStatistique Limite inférieure Probabilité t Limite supérieure pour Limite seuil inférieure de pour confiance Limite seuilpour de supérieure =confiance seuil 95% depour confiance = 95% seuil de = 95,0% confiance = 95,0% 8.5006458854 0.135777 62.60718 3E-014 8.19811 8.803177 8.198115 8.80317699 -0.5535203733 0.156237 -3.54282 0.00533 -0.90164 -0.2054 -0.901638 -0.2054026 -0.393095772 0.156237 -2.51602 0.0306 -0.74121 -0.04498 -0.741214 -0.044978 -0.2817166289 0.158676 -1.77542 0.10621 -0.63527 0.071836 -0.635269 0.07183607 0.0368376361 0.163967 0.224665 0.82676 -0.3285 0.402179 -0.328503 0.40217865 0 0 65535 #NUM! 0 0 0 0 0.0590319176 0.221724 0.266241 0.79546 -0.435 0.553063 -0.434999 0.55306314 -0.967384032 0.110862 -8.72603 5E-006 -1.2144 -0.72037 -1.2144 -0.7203684 -4.2328969857 0.120809 -35.038 9E-012 -4.50208 -3.96372 -4.502076 -3.963718 -5.0570984181 0.134197 -37.6842 4E-012 -5.35611 -4.75809 -5.356108 -4.7580893 -5.9030901917 0.156237 -37.7829 4E-012 -6.25121 -5.55497 -6.251208 -5.5549724 -4.9026030744 0.206992 -23.685 4E-010 -5.36381 -4.4414 -5.363809 -4.441397



ANALYSE DES RÉSIDUS Observation



Prévisions Yij



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Résidus



Christophides (lin regr)



85



Fortis Bank Insurance Coporate Actuarial Control 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21



7.9471255121 6.9797414801 3.7142285264 2.890027094 2.0440353204 3.0445224377 8.1075501134 7.1401660814 3.8746531277 3.0504516953 2.2044599217 8.2189292565 7.2515452245 3.9860322708 3.1618308384 8.5374835215 7.5700994894 4.3045865357 8.5006458854 7.5332618534 8.559677803



0.126589 0.079017 -0.050667 -0.056814 -0.098125 -4E-016 0.014227 0.023781 -0.263735 0.127602 0.098125 0.042339 0.04419 -0.01574 -0.070788 -0.185401 -0.144742 0.330142 0.002246 -0.002246 0



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



86



Fortis Bank Insurance Coporate Actuarial Control Calculation of the variance-covariance matrix The future design matrix 0 Year of origin i Development year j Pij 1 5 ln(Ŷ1,5) 2 4 ln(Ŷ2,4)



a0



1 a1



2 a2



3 a3



4 a4



5 a5



1 b2



2 b3



3 b4



4



0



1



0



0



0



0



0



0



0



1



0



0



1



0



0



0



0



0



1



0



2



5



ln(Ŷ2,5)



0



0



1



0



0



0



0



0



0



1



3



3



ln(Ŷ4,3)



0



0



0



1



0



0



0



1



0



0



3



4



ln(Ŷ4,4)



0



0



0



1



0



0



0



0



1



0



3



5



ln(Ŷ4,5)



0



0



0



1



0



0



0



0



0



1



4



3



ln(Ŷ4,3)



0



0



0



0



1



0



0



1



0



0



4



4



ln(Ŷ4,4)



0



0



0



0



1



0



0



0



1



0



4



5



ln(Ŷ4,5)



0



0



0



0



1



0



0



0



0



1



2



ln(Ŷ5,2)



0



0



0



0



0



1



1



0



0



0



3



ln(Ŷ5,3)



0



0



0



0



0



1



0



1



0



0



4



ln(Ŷ5,4)



0



0



0



0



0



1



0



0



1



0



5



ln(Ŷ5,5)



0



0



0



0



0



1



0



0



0



1



5 5 5 5



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



5



b5



87



Fortis Bank Insurance Coporate Actuarial Control



X=



1 2 3 4 5 6 7 8 9 10 11 12 13 14 15



Loss Reserving Techniques in Non-Life (E. Van den Borre)



1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1



2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0



3 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0



4 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0



5 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0



Christophides (lin regr)



6 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0



7 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0



8 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0



9 10 0 1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0



88



Fortis Bank Insurance Coporate Actuarial Control



X'=



1 2 3 4 5 6 7 8 9 10



1 1 0 0 0 0 0 0 0 1



1 0 1 0 0 0 0 0 1 0



1 0 1 0 0 0 0 0 0 1



1 2 3 4 5 6 7 8 9 10



1 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



2 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



3 ### ### ### ### ### ### ### ### ### ###



4



(X'X)=



2 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



3 ### ### ### ### ### ### ###



4



1 2 3 4 5 6 7



1 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



(XT'X) = -1



Loss Reserving Techniques in Non-Life (E. Van den Borre)



1 0 0 1 0 0 0 1 0 0



1 0 0 1 0 0 0 0 1 0



1 0 0 1 0 0 0 0 0 1



1 0 0 0 1 0 0 1 0 0



1 0 0 0 1 0 0 0 1 0



1 0 0 0 1 0 0 0 0 1



1 0 0 0 0 1 1 0 0 0



### ### ### ### ### ### ### ### ### ###



5 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



6 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



7 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



8 ### ### ### ### ### ### ### ### ### ###



9 ### ### ### ### ### ### ### ### ### ###



10 ### ### ### ### ### ### ### ### ### ###



### ### ### ### ### ### ###



5 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



6 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



7 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



8 ### ### ### ### ### ### ###



9 ### ### ### ### ### ### ###



10 ### ### ### ### ### ### ###



Christophides (lin regr)



1 0 0 0 0 1 0 1 0 0



1 0 0 0 0 1 0 0 1 0



1 0 0 0 0 1 0 0 0 1



1



1



89



Fortis Bank Insurance Coporate Actuarial Control 8 9 10



Loss Reserving Techniques in Non-Life (E. Van den Borre)



#VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



### ### ###



### #VALUE! ### #VALUE! ### #VALUE!



#VALUE! #VALUE! #VALUE!



Christophides (lin regr)



#VALUE! ### ### ### #VALUE! ### ### ### #VALUE! ### ### ###



90



Fortis Bank Insurance Coporate Actuarial Control X (X'X)-1 = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15



Loss Reserving Techniques in Non-Life (E. Van den Borre)



1 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



2 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



3 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



4 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



5 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



6 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



Christophides (lin regr)



7 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



8 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



9 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



10 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



91



Fortis Bank Insurance Coporate Actuarial Control



X (X'X) X'= -1



2



1 2 3 4 5 6 7 8 9 10 11 12 13 14 15



1 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



2 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



3 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



4 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



5 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



6 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



7 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



8 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



9 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



10 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



11 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



12 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



13 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



14 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



15 ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



0.0307258787 (result of the regression analysis)



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



92



Fortis Bank Insurance Coporate Actuarial Control



 2 X (XT X)-1 X'=



Loss Reserving Techniques in Non-Life (E. Van den Borre)



#VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



#VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



#VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



#VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



Christophides (lin regr)



#VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



8.50064589



0 -1



1 0



2 0



3 0



### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



4 5 0 0.1



1 -1



2 -4



3 -5



4 -6



93



Fortis Bank Insurance Coporate Actuarial Control i



j 1 2 2 3 3 3 4 4 4 4 5 5 5 5 5



5 4 5 3 4 5 2 3 4 5 1 2 3 4 5



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Yi,j 3.20 2.32 3.32 3.48 2.63 3.63 4.27 3.44 2.60 3.60 7.59 4.33 3.50 2.66 3.66



var(Yi,j) #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



E(xi,j) var(xi,j) ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###



(xi,j) #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



Christophides (lin regr)



Constante a0 a1 a2 a3 a4 8.50064589 0 0 0 0 0 8.50064589 0 0 0 0 0 8.50064589 0 0 0 0 0 8.50064589 0 0 0 0 0 8.50064589 0 0 0 0 0 8.50064589 0 0 0 0 0 8.50064589 0 0 0 0 0 8.50064589 0 0 0 0 0 8.50064589 0 0 0 0 0 8.50064589 0 0 0 0 0 8.50064589 0 0 0 0 0 8.50064589 0 0 0 0 0 8.50064589 0 0 0 0 0 8.50064589 0 0 0 0 0 8.50064589 0 0 0 0 0



a5 b1 b2 b3 b4 0 0 0 0 0 0 0 0 0 -6 0 0 0 0 0 0 0 0 -5 0 0 0 0 0 -6 0 0 0 0 0 0 0 -4 0 0 0 0 0 -5 0 0 0 0 0 -6 0 0 0 0 0 0.1 -1 0 0 0 0.1 0 -4 0 0 0.1 0 0 -5 0 0.1 0 0 0 -6 0.1 0 0 0 0



94



Fortis Bank Insurance Coporate Actuarial Control The completed incremental run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



Development year 1 2 3 1,163 39 17 1,292 37 24 1,474 53 22 1,678 103 ### 1,865 #VALUE! ### #VALUE! #VALUE! ###



4 7 10 ### ### ### ###



5 21 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



6



4 4,435 4,730 ### ### ### ###



5 4,456 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE!



6



The completed cumulative run-off triangle Year of origin 0 1 2 3 4 5 6



0 3,209 3,367 3,871 4,239 4,929 5,217



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Development year 1 2 3 4,372 4,411 4,428 4,659 4,696 4,720 5,345 5,398 5,420 5,917 6,020 ### 6,794 #VALUE! ### #VALUE! #VALUE! ###



Christophides (lin regr)



95



Fortis Bank Insurance Coporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



96



Fortis Bank Insurance Coporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



97



Fortis Bank Insurance Coporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



98



Fortis Bank Insurance Coporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



99



Fortis Bank Insurance Coporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



100



Fortis Bank Insurance Coporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



101



Fortis Bank Insurance Coporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



102



Fortis Bank Insurance Coporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



103



Fortis Bank Insurance Coporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



104



Fortis Bank Insurance Coporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



105



Fortis Bank Insurance Coporate Actuarial Control



5 -5



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



106



Fortis Bank Insurance Coporate Actuarial Control b5 -5 0 -5 0 0 -5 0 0 0 -5 0 0 0 0 -5



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



107



Fortis Bank Insurance Coporate Actuarial Control



Loss Reserving Techniques in Non-Life (E. Van den Borre)



Christophides (lin regr)



108