A
Actuarial Professional
Member
Hi,
Does anyone know of a neat (regression??) solution to the following problem?:
GLR = GC / GP
RLR = RC / RP = ( GC x CR% ) / ( GP x CP% )
NLR = NC / NP = ( GC - RC ) / ( GP - RP )
Regression variables:
NLR = y
GC = x1
CR% = x2
CP% = x3
Where:
GLR = gross loss ratio
GC = gross claims
GP = gross premium (arbitrarily set to a fixed value of 100 for the purpose of simplifying the problem)
RLR = reinsurance (ceded) loss ratio
RC = reinsurance (ceded) claims recoveries
RP = reinsurance (ceded) premiums
CR% = ceded recoveries % (of gross claims)
CP% = ceded premiums % (of gross premiums)
NLR = net loss ratio
NC = net claims
NP = net premiums
Does anyone know of a neat (regression??) solution to the following problem?:
GLR = GC / GP
RLR = RC / RP = ( GC x CR% ) / ( GP x CP% )
NLR = NC / NP = ( GC - RC ) / ( GP - RP )
Regression variables:
NLR = y
GC = x1
CR% = x2
CP% = x3
Where:
GLR = gross loss ratio
GC = gross claims
GP = gross premium (arbitrarily set to a fixed value of 100 for the purpose of simplifying the problem)
RLR = reinsurance (ceded) loss ratio
RC = reinsurance (ceded) claims recoveries
RP = reinsurance (ceded) premiums
CR% = ceded recoveries % (of gross claims)
CP% = ceded premiums % (of gross premiums)
NLR = net loss ratio
NC = net claims
NP = net premiums