predict.clmplusmodel {clmplus} | R Documentation |
Predict the Reserve using Chain Ladder Plus Models
Description
Predict the lower triangle with a clmplus
model.
Usage
## S3 method for class 'clmplusmodel'
predict(
object,
gk.fc.model = "a",
ckj.fc.model = "a",
gk.order = c(1, 1, 0),
ckj.order = c(0, 1, 0),
forecasting_horizon = NULL,
...
)
Arguments
object |
clmplusmodel , Model to predict from.
|
gk.fc.model |
character , model to forecast the cohort component for the last accident period. It can be either arima ('a') or linear model ('l'). Disregarded for models that do not have a cohort effect.
|
ckj.fc.model |
character , model to forecast the calendar period effect. It can be either arima ('a') or linear model ('l'). Disregarded for models that do not have a period effect.
|
gk.order |
integer , order of the arima model with drift for the accident year effect extrapolation. Default to (1,1,0).
|
ckj.order |
integer , order of the arima model with drift for the calendar year effect extrapolation. Default to (0,1,0).
|
forecasting_horizon |
integer , between 1 and the triangle width. Calendar periods ahead for the predictions. Default predictions are to run-off.
|
... |
Extra arguments to be passed to the predict function.
|
Value
Returns the following output:
reserve |
numeric The reserve for each accident period.
|
ultimate_cost |
numeric The ultimate cost for each accident period.
|
full_triangle |
matrix array The complete run-off triangle of cumulative payments, it includes the (input) upper triangle and the predicted (output) lower triangle.
|
lower_triangle |
matrix array The predicted lower triangle of cumulative payments.
|
development_factors_predicted |
matrix array The predicted lower triangle of the extrapolated development factors.
|
apc_output |
list The following output from the age-period-cohort representation: model.fit (fitStMoMo ) age-period-cohort model fit.
alphaij (matrix array ) predicted claim development.
lower_triangle_apc (matrix array ) predicted lower triangle of cumulative payments in age-period-cohort form.
development_factors_apc (matrix array ) development factors in age-period-cohort representation.
|
References
Pittarello, Gabriele, Munir Hiabu, and Andrés M. Villegas. "Replicating and extending chain ladder via an age-period-cohort structure on the claim development in a run-off triangle." arXiv preprint arXiv:2301.03858 (2023).
[Package
clmplus version 1.0.0
Index]