| valuateOnePolicy {vamc} | R Documentation |
Valuate One Policy
Description
Valuate a VA policy specified in inPolicy based on the simulated fund scenarios fundScen. The time step length is specified in dT and the discount rate for each period is specified in df.
Usage
valuateOnePolicy(inPolicy, mortTable, fundScen, dT = 1/12, df)
Arguments
inPolicy |
A vector containing 45 attributes of a VA policy, usually a row of a VA portfolio dataframe. |
mortTable |
A dataframe with three columns of doubles representing the mortality table. |
fundScen |
A numScen-by-numStep-by-numFund array of doubles of return factors (i.e., exp(mu_t dt)) in each period. |
dT |
A double of stepsize in years; dT = 1 / 12 would be monthly. |
df |
A vector of doubles of risk-free discount rates of different tenor (not forward rates), should have length being numStep. |
Value
Outputs a list of doubles of policyValue, the average discounted payoff of the VA, and riskCharge, the average discounted risk charges.
Examples
fundScen <- genFundScen(fundMap, indexScen)[1, , ]
exPolicy <- VAPort[1, ]
valuateOnePolicy(exPolicy, mortTable, fundScen, 1 / 12, cForwardCurve)