errata Flashcards
2 step trending
current trend factor = latest avg WP @ curr/hist avg EP @ curr
2012 trended OLEP = 2012 EP @ curr*current trend factor*prospective TF
=(2012 EE * 2012 avg EP @ curr)*current trend factor*prospective TF
=2012 EE*latest avg WP @ curr*prospective TF
**prospective TF is WD to WD
loss costs
loss & LAE
no UW exp, profit, variable expenses, fixed expenses
just costs due to losses
company change using ind LC change from industry
and proposed deviation
company change = proposed dev/current dev * (1+ind LC change from industry)
proposed dev = (expected LC diff+1)/(1-V-Q)
fixed expense trend with indices
fixed exp trend = %*ECI + (1-%)*CPI
employee cost index
consumer price index
APPA: why is 1st iteration higher than convergence value
disproportionate exposure is concentrated i higher and lower cost areas
*iterative method is ued to adjust for unequal distributions of underlying exposures
calculating new base rates and new relativities using LRA
calc credibility weighted change factors
calc new base rate = inforce base*cred weighted change factor/credibility weighted change for total
***total factor is weighted using inforce premium
new relativities = new base rate/BL new base rate
ISO experience rating: CSCL and expected development
CSLC = BL prem * ELR * detrend
expected dev = CSLC * %unrptd * EER
nonmodeled CAT PP calculation
need all yr avg for CAT-to-AIY ratio
need to load for ULAE
need to multiply this by AOI/exposure that corresponds with future avg ED
**if avg ED =1/1/16 then equal weight for CY 2015 & 2016
nonmodeled CAT = avg AIY/exposure*non-modeled CAT prov/AIY
why is using AIY useful for nonmodeled CAT PP
using AIY is simple way to adjust ratio for inflation
if PP was based on non-modeled/house years, ratio would increase over time due to inflation
residual indication and net trend and trended present rates indication
residual indication =(1+latest ind RC)/(1+last RC taken) -1
net trend = (1+proj loss trend)/(1+proj prem trend)-1
trended present rates indication = (1+residual)(1+net trend)^period-1
trending: why adjust for one-time changes
using prem @ historical rate levels is inappropriate when selecting trends since one time changes would be picked up by trend even though we don’t expet these to continue in future
overfitting
estimates reflect noise in addition to true signal
will replicate historical data well but less reliable for future data
why is PY the best match of loss and exposure?
provides the best match between premiums and losses since the losses come from the same policies from which premium is earned
PY, CY, AY losses
PY: Losses are summarized by the years the policies containing those losses were written.
CY: Losses are summarized for loss transactions occurring during the CY.
AY: Losses are summarized by the years in which the losses occurred.
adverse selection
Adverse selection occurs when an insurer doesn’t use a risk characteristic that is being used by other insurers. Since other insurers will attract the lower risk insureds based on this risk characteristic, the insurer not using the risk characteristic will be left with a higher than proportional share of the higher risks, for which it does not accurately price or underwrite. As such, the insurer will have a higher loss ratio.