Print results of Clark methods
print.clark.rdFunctions to print the results of the ClarkLDF and ClarkCapeCod methods.
Usage
<!-- %- \method{print}{clark}(x, \dots) -->
# S3 method for ClarkLDF
print(x, Amountdigits=0, LDFdigits=3, CVdigits=3,
row.names = FALSE, ...)
# S3 method for ClarkCapeCod
print(x, Amountdigits=0, ELRdigits=3, Gdigits=4, CVdigits=3,
row.names = FALSE, ...)Arguments
- x
object resulting from a run of the ClarkLDF or ClarkCapeCod function.
- Amountdigits
number of digits to display to the right of the decimal point for "amount" columns
- LDFdigits
number of digits to display to the right of the decimal point for the loss development factor (LDF) column
- CVdigits
number of digits to display to the right of the decimal point for the coefficient of variation (CV) column
- ELRdigits
number of digits to display to the right of the decimal point for the expected loss ratio (ELR) column
- Gdigits
number of digits to display to the right of the decimal point for the "growth function factor" column; default of 4 conforms with the table on pp. 67, 68 of Clark's paper
- row.names
logical (or character vector), indicating whether (or what) row names should be printed (same as for
print.data.frame)- ...
further arguments passed to
print
Details
Display the default information in "pretty format" resulting from a run of the "LDF Method" or "Cape Cod Method" -- a "Development-type" exhibit for Clark's "LDF Method," a "Bornhuetter-Ferguson-type" exhibit for Clark's "Cape Cod Method."
As usual, typing the name of such an object at the console
invokes its print method.
Value
data.frames whose columns are the character representation
of their respective summary.ClarkLDF
data.frames.
References
Clark, David R., "LDF Curve-Fitting and Stochastic Reserving: A Maximum Likelihood Approach", Casualty Actuarial Society Forum, Fall, 2003
Examples
X <- GenIns
colnames(X) <- 12*as.numeric(colnames(X))
y <- ClarkCapeCod(X, Premium=10000000+400000*0:9, maxage=240)
summary(y)
#> Origin CurrentValue Premium ELR FutureGrowthFactor FutureValue
#> 1 1 3901463 1.00e+07 0.597026 0.1303902 778463.4
#> 2 2 5339085 1.04e+07 0.597026 0.1594364 989952.1
#> 3 3 4909315 1.08e+07 0.597026 0.1950165 1257443.3
#> 4 4 4588268 1.12e+07 0.597026 0.2391815 1599332.9
#> 5 5 3873311 1.16e+07 0.597026 0.2947437 2041248.2
#> 6 6 3691712 1.20e+07 0.597026 0.3654987 2618546.9
#> 7 7 3483130 1.24e+07 0.597026 0.4562722 3377839.6
#> 8 8 2864498 1.28e+07 0.597026 0.5720671 4371698.3
#> 9 9 1363294 1.32e+07 0.597026 0.7137828 5625139.6
#> 10 10 344014 1.36e+07 0.597026 0.8617075 6996681.1
#> Total Total 34358090 1.18e+08 NA NA 29656345.3
#> UltimateValue StdError CV
#> 1 4679926 269248.7 0.3458721
#> 2 6329037 311328.7 0.3144887
#> 3 6166758 358975.2 0.2854803
#> 4 6187601 412520.2 0.2579326
#> 5 5914559 471780.8 0.2311237
#> 6 6310259 535626.0 0.2045509
#> 7 6860970 601534.4 0.1780826
#> 8 7236196 665860.7 0.1523117
#> 9 6988434 726347.9 0.1291253
#> 10 7340695 786672.0 0.1124350
#> Total 64014435 3402778.6 0.1147403
print(y) # (or simply 'y') Same as summary(y) but with "pretty formats"
#> Origin CurrentValue Premium ELR FutureGrowthFactor FutureValue
#> 1 3,901,463 10,000,000 0.597 0.1304 778,463
#> 2 5,339,085 10,400,000 0.597 0.1594 989,952
#> 3 4,909,315 10,800,000 0.597 0.1950 1,257,443
#> 4 4,588,268 11,200,000 0.597 0.2392 1,599,333
#> 5 3,873,311 11,600,000 0.597 0.2947 2,041,248
#> 6 3,691,712 12,000,000 0.597 0.3655 2,618,547
#> 7 3,483,130 12,400,000 0.597 0.4563 3,377,840
#> 8 2,864,498 12,800,000 0.597 0.5721 4,371,698
#> 9 1,363,294 13,200,000 0.597 0.7138 5,625,140
#> 10 344,014 13,600,000 0.597 0.8617 6,996,681
#> Total 34,358,090 118,000,000 29,656,345
#> UltimateValue StdError CV%
#> 4,679,926 269,249 34.6
#> 6,329,037 311,329 31.4
#> 6,166,758 358,975 28.5
#> 6,187,601 412,520 25.8
#> 5,914,559 471,781 23.1
#> 6,310,259 535,626 20.5
#> 6,860,970 601,534 17.8
#> 7,236,196 665,861 15.2
#> 6,988,434 726,348 12.9
#> 7,340,695 786,672 11.2
#> 64,014,435 3,402,779 11.5
## Greater growth factors when projecting to infinite maximum age
ClarkCapeCod(X, Premium=10000000+400000*0:9, maxage=Inf)
#> Origin CurrentValue Premium ELR FutureGrowthFactor FutureValue
#> 1 3,901,463 10,000,000 0.597 0.2217 1,323,698
#> 2 5,339,085 10,400,000 0.597 0.2508 1,556,996
#> 3 4,909,315 10,800,000 0.597 0.2863 1,846,297
#> 4 4,588,268 11,200,000 0.597 0.3305 2,209,996
#> 5 3,873,311 11,600,000 0.597 0.3861 2,673,721
#> 6 3,691,712 12,000,000 0.597 0.4568 3,272,829
#> 7 3,483,130 12,400,000 0.597 0.5476 4,053,931
#> 8 2,864,498 12,800,000 0.597 0.6634 5,069,599
#> 9 1,363,294 13,200,000 0.597 0.8051 6,344,850
#> 10 344,014 13,600,000 0.597 0.9530 7,738,201
#> Total 34,358,090 118,000,000 36,090,118
#> UltimateValue StdError CV%
#> 5,225,161 443,978 33.5
#> 6,896,081 489,929 31.5
#> 6,755,612 541,157 29.3
#> 6,798,264 597,696 27.0
#> 6,547,032 658,893 24.6
#> 6,964,541 722,850 22.1
#> 7,537,061 785,803 19.4
#> 7,934,097 842,378 16.6
#> 7,708,144 889,806 14.0
#> 8,082,215 941,203 12.2
#> 70,448,208 5,378,616 14.9