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#Copyright 2016 Ivan Zoccolan
#This file is part of valuer.
#Valuer is free software: you can redistribute it and/or modify
#it under the terms of the GNU General Public License as published by
#the Free Software Foundation, either version 3 of the License, or
#(at your option) any later version.
#
#Valuer is distributed in the hope that it will be useful,
#but WITHOUT ANY WARRANTY; without even the implied warranty of
#MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
#GNU General Public License for more details.
#
#A copy of the GNU General Public License is available at
#https://www.R-project.org/Licenses/ and included in the R distribution
#(in directory share/licenses).
######################### DESIGN COMMENTS ######################################
#Implementation of VA products
#A base class for riders is needed to make a standard interface as each product
#has to store the same info such as fee, barrier (for state-dependent fees),
#penalties for withdrawals, type of guarantee payoff (rollup / ratchet).
#So a base class for VA products called va_product is defined. This class
#provides the interface only and should not be instantiated.
#A new va_product subclass is needed for each VA contract rider
#For example we have a specialized GMAB va_product class for VA with
#GMAB rider, etc.
#A roll-up payoff or ratchet payoff object will be passed into the initialize
#of the product.
#The cash_flows method returns all possible cash_flows, so withdrawal in case
#the insured surrenders the contract or if there's a GMWB rider
#as well as other living / death benefits depending on the riders.
#The engine will use the cash_flows depending if we're doing static or mixed
#The cash flows will be saved in private field of the engine.
#To calculate the cash flows we need first to calculate the account of the
#insured. The formula which calculates the account cannot be vectored since
#each value depends on the previous one.
#So for performance reasons it is implemented in C++ and interfaced with Rcpp
#This is the calc_account function.
#A simple state-dependent fee structure with a single barrier is implemented
#in the calc_account function.
#Public methods will return the times of survival benefit payments
#and the possible surrender times.
#A public method returns the survival benefit at any given time.
#The surrender penalty can be either constant or a decreasing function of time.
##########################DESIGN COMMENTS END###################################
#Defines a base class for a product which will be inherited by
#specialized classes. This is exported but should not be instantiated.
#' Generic Variable Annuity product class
#' @description Class providing an interface for a generic VA product object.
#' This class shouldn't be instantiated but used as base class for
#' implementing products with contract riders such as GMAB, GMIB, etc.
#' It supports a simple state-dependent fee structure with a single barrier.\cr
#' See \bold{References} for a description of variable annuities life
#' insurance products, their guarantees and fee structures.
#' @docType class
#' @return Object of \code{\link{R6Class}}
#' @format \code{\link{R6Class}} object.
#' @section Methods:
#' \describe{
#' \item{\code{new}}{Constructor method with arguments:
#' \describe{
#' \item{\code{payoff}}{\code{payoff} object of the GMAB guarantee}
#' \item{\code{t0}}{\code{\link{timeDate}} object with
#' the issue date of the contract}
#' \item{\code{t}}{\code{timeDate} object with the end date of the
#' accumulation period}
#' \item{\code{t1}}{\code{timeDate} object with the end date of the
#' life benefit payment}
#' \item{\code{age}}{\code{numeric} positive scalar with the age
#' of the policyholder}
#' \item{\code{fee}}{\code{\link{constant_parameters}} object with
#' the fee}
#' \item{\code{barrier}}{\code{numeric} positive scalar with the
#' state-dependent fee barrier}
#' \item{\code{penalty}}{\code{\link{penalty_class}} object with the
#' penalty}
#' }
#' }
#' \item{\code{get_times}}{get method for the product time-line.
#' Returns a \code{\link{timeDate}} object}
#' \item{\code{get_age}}{get method for the age of the insured}
#' \item{\code{set_age}}{set method for the age of the insured}
#' \item{\code{get_barrier}}{get method for the state-dependent fee barrier.
#' Returns a positive scalar with the barrier}
#' \item{\code{set_barrier}}{set method for the state-dependent fee barrier.
#' Argument must be a positive scalar.}
#' \item{\code{set_penalty_object}}{the argument \code{penalty} is a
#' \code{\link{penalty_class}} object which is stored in a private field.}
#' \item{\code{get_penalty_object}}{gets the \code{\link{penalty_class}} object.}
#' \item{\code{set_penalty}}{set method for the penalty applied in case of
#' surrender. The argument must be a scalar between 0 and 1.}
#' \item{\code{get_penalty}}{get method for the surrender penalties. It can be
#' a scalar between 0 and 1 in case the penalty is constant or a numeric vector
#' in case the penalty varies with time.}
#' \item{\code{set_fee}}{set method for the contract fee. The argument is
#' a \code{\link{constant_parameters}} object with the fee.}
#' \item{\code{set_payoff}}{set method for the \code{\link{payoff_guarantee}}
#' object.}
#' \item{\code{survival_benefit_times}}{returns a \code{numeric} vector with
#' the survival benefit time indexes.}
#' \item{\code{surrender_times}}{returns a \code{numeric} vector with the
#' surrender time indexes. Takes as argument a string with the frequency
#' of the decision if surrendering the contract, e.g. "3m"
#' corresponds to a surrender decision taken every 3 months.}
##' \item{\code{times_in_yrs}}{returns the product time-line in
#' fraction of year}
#' \item{\code{cash_flows}}{returns a \code{numeric} vector with the
#' cash flows of the product. It takes as argument \code{spot_values} a
#' \code{numeric} vector which holds the values of the underlying fund this
#' method will calculate the cash flows from}
#' \item{\code{survival_benefit}}{Returns a numeric scalar corresponding to
#' the survival benefit.
#' The arguments are \code{spot_values} vector which holds the values of
#' the underlying fund and \code{t} the time index of the survival benefit.
#' The function will return 0 if there's no survival benefit at the
#' specified time}
#' \item{\code{get_premium}}{Returns the premium as non negative scalar}
#' }
#' @references
#' \enumerate{
#' \item{[BMOP2011]}{ \cite{Bacinello A.R., Millossovich P., Olivieri A.,
#' Pitacco E., "Variable annuities: a unifying valuation approach."
#' In: Insurance: Mathematics and Economics 49 (2011), pp. 285-297.
#' }}
#' \item{[BHM2014]}{ \cite{Bernard C., Hardy M. and Mackay A. "State-dependent
#' fees for variable annuity guarantees." In: Astin Bulletin 44 (2014),
#' pp. 559-585.}}
#' }
va_product <- R6::R6Class("va_product",
public = list(
initialize = function(payoff, t0, t, t1, age, fee, barrier, penalty, ...){
if (!missing(payoff))
if (inherits(payoff, "payoff_guarantee")) private$the_payoff <- payoff
else stop(error_msg_1("payoff_guarantee"))
else stop("Please provide a guarantee payoff object\n")
#Initializes the issue (start) date t0
if (!missing(t0))
if (is_date(t0))
private$t0 <- t0
else stop(error_msg_1_("t0", "timeDate"))
else stop(error_msg_1_("t0", "timeDate"))
#Initializes the end of accumulation date t
#Guarantees it's a date greater than t0 if not missing
if (!missing(t))
if (is_date(t))
if (isTRUE(t0 < t)){}
else stop(error_msg_11("t", "t0"))
else stop(error_msg_1_("t", "timeDate"))
#Initializes the end of guaranteed benefit date t1
#Guarantees it's a date greater than t0 if not missing
if (!missing(t1))
if(is_date(t1))
if (isTRUE(t0 < t1)){}
else stop(error_msg_11("t1", "t0"))
else stop(error_msg_1_("t1", "timeDate"))
if(missing(t) & missing(t1))
stop(error_msg_1_("t", "timeDate"))
if (!missing(t) & !missing(t1))
if(isTRUE(t <= t1)){
private$t <- t
private$t1 <- t1
} else stop(error_msg_11("t1", "t"))
if (missing(t) & !missing(t1)) {
private$t1 <- t1
private$t <- t1
}
if (!missing(t) & missing(t1)){
private$t <- t
private$t1 <- t
}
private$times <- timeDate::timeSequence(private$t0, private$t1)
# Normalizes the product time line into year fractions
private$times_yrs <- yr_fractions(private$times)
if(!missing(age))
if (is_positive_integer(age))
private$the_age <- age
else stop(error_msg_4("age"))
else private$the_age <- 60
if (!missing(fee))
if(inherits(fee, "constant_parameters")) private$the_fee <- fee
else stop(error_msg_1_("fee", "constant_parameters"))
else private$the_fee <- constant_parameters$new(0.02, 365)
if (!missing(barrier))
if (is_positive_scalar(barrier)) private$the_barrier <- barrier
else stop(error_msg_3_("barrier"))
else private$the_barrier <- Inf
if (!missing(penalty))
if (inherits(penalty, "penalty_class"))
private$the_penalty <- penalty
else stop(error_msg_1_("penalty", "penalty_class"))
else private$the_penalty <- penalty_class$new(type = 1, const = 1)
private$surv_times <- length(private$times)
if (identical(private$the_penalty$get_type(), 1))
private$penalty <- private$the_penalty$get()
else for (i in seq_along(private$times_yrs))
private$penalty[i] <- private$the_penalty$get(private$times_yrs[i])
},
set_payoff = function(payoff){
if (!missing(payoff))
if (inherits(payoff, "payoff_guarantee")) private$the_payoff <- payoff
else stop(error_msg_1("payoff_guarantee"))
else stop("Please provide a guarantee payoff object\n")
},
get_age = function() private$the_age,
set_age = function(age){
if(!missing(age))
if (is_positive_integer(age))
private$the_age <- age
else stop(error_msg_4("age"))
else private$the_age <- 60
},
get_barrier = function() private$the_barrier,
set_barrier = function(barrier) {
if (!missing(barrier))
if (is_positive_scalar(barrier)) private$the_barrier <- barrier
else stop(error_msg_3_("barrier"))
else private$the_barrier <- Inf
},
set_penalty_object = function(penalty){
if (!missing(penalty))
if (inherits(penalty, "penalty_class"))
private$the_penalty <- penalty
else stop(error_msg_1_("penalty", "penalty_class"))
else private$the_penalty <- penalty_class$new(type = 1, const = 1)
if (identical(private$the_penalty$get_type(), 1))
private$penalty <- private$the_penalty$get()
else for (i in seq_along(private$times_yrs))
private$penalty[i] <- private$the_penalty$get(private$times_yrs[i])
},
get_penalty_object = function(time) private$the_penalty,
set_penalty = function(penalty) {
private$the_penalty$set(penalty)
if (identical(private$the_penalty$get_type(), 1))
private$penalty <- private$the_penalty$get()
else for (i in seq_along(private$times_yrs))
private$penalty[i] <- private$the_penalty$get(private$times_yrs[i])
},
get_penalty = function( ) private$penalty,
set_fee = function(fee){
if (!missing(fee))
if(inherits(fee, "constant_parameters")) private$the_fee <- fee
else stop(error_msg_1_("fee", "constant_parameters"))
else private$the_fee <- constant_parameters$new(0.02, 365)
},
get_premium = function() private$the_payoff$get_premium(),
get_times = function() private$times,
times_in_yrs = function() private$times_yrs,
survival_benefit_times = function(){},
surrender_times = function(){},
cash_flows = function(spot_values, ...) spot_values
),
private = list(
#Issue date of the contract
t0 = "timeDate",
#End of the accumulation period date
t = "timeDate",
#End of guaranteed benefit date
t1 = "timeDate",
#timeDate object to store the product time-line
times = "timeDate",
#payoff_guarantee object which stores the type of payoff
the_payoff = "payoff_guarantee",
#A posite scalar with the age of the insured
the_age = "numeric",
#A positive scalar with the annual VA contract fee.
the_fee = "constant_parameters",
#A positive scalar with the barrier for state-dependent fees.
the_barrier = "numeric",
#A scalar or numeric vector with the withdrawal penalty.
penalty = numeric(0),
#A penalty object
the_penalty = "penalty_class",
#A numeric vector with the product time-line
#in fraction of years
times_yrs = "numeric",
#Survival benefit time index
surv_times = "numeric"
)
)
#' Variable Annuity with GMAB guarantee
#' @description
#' Class for VA with Guaranteed Minimum Accumulation Benefit (GMAB).
#' It supports a simple state-dependent fee structure with a single barrier.\cr
#' See \bold{References} for a description of variable annuities life
#' insurance products, their guarantees and fee structures.
#' @docType class
#' @export
#' @return Object of \code{\link{R6Class}}
#' @format \code{\link{R6Class}} object.
#' @section Methods:
#' \describe{
#' \item{\code{new}}{Constructor method with arguments:
#' \describe{
#' \item{\code{payoff}}{\code{payoff} object of the GMAB guarantee}
#' \item{\code{t0}}{\code{\link{timeDate}} object with
#' the issue date of the contract}
#' \item{\code{t}}{\code{timeDate} object with the end date of the
#' accumulation period}
#' \item{\code{t1}}{\code{timeDate} object with the end date of the
#' life benefit payment}
#' \item{\code{age}}{\code{numeric} positive scalar with the age
#' of the policyholder}
#' \item{\code{fee}}{\code{\link{constant_parameters}} object with
#' the fee}
#' \item{\code{barrier}}{\code{numeric} positive scalar with the
#' state-dependent fee barrier}
#' \item{\code{penalty}}{\code{\link{penalty_class}} object with the
#' penalty}
#' }
#' }
#' \item{\code{get_times}}{get method for the product time-line.
#' Returns a \code{\link{timeDate}} object}
#' \item{\code{get_age}}{get method for the age of the insured}
#' \item{\code{set_age}}{set method for the age of the insured}
#' \item{\code{get_barrier}}{get method for the state-dependent fee barrier.
#' Returns a positive scalar with the barrier}
#' \item{\code{set_barrier}}{set method for the state-dependent fee barrier.
#' Argument must be a positive scalar.}
#' \item{\code{set_penalty_object}}{the argument \code{penalty} is a
#' \code{\link{penalty_class}} object which is stored in a private field.}
#' \item{\code{get_penalty_object}}{gets the \code{\link{penalty_class}} object.}
#' \item{\code{set_penalty}}{set method for the penalty applied in case of
#' surrender. The argument must be a scalar between 0 and 1.}
#' \item{\code{get_penalty}}{get method for the surrender penalties. It can be
#' a scalar between 0 and 1 in case the penalty is constant or a numeric vector
#' in case the penalty varies with time.}
#' \item{\code{set_fee}}{set method for the contract fee. The argument is
#' a \code{\link{constant_parameters}} object with the fee.}
#' \item{\code{set_payoff}}{set method for the \code{\link{payoff_guarantee}}
#' object.}
#' \item{\code{survival_benefit_times}}{returns a \code{numeric} vector with
#' the survival benefit time indexes.}
#' \item{\code{surrender_times}}{returns a \code{numeric} vector with the
#' surrender time indexes. Takes as argument a string with the frequency
#' of the decision if surrendering the contract, e.g. "3m"
#' corresponds to a surrender decision taken every 3 months.}
#' \item{\code{times_in_yrs}}{returns the product time-line in
#' fraction of year}
#' \item{\code{cash_flows}}{returns a \code{numeric} vector with the
#' cash flows of the product. It takes as argument \code{spot_values} a
#' \code{numeric} vector which holds the values of the underlying fund and
#' \code{death_time} a time index with the time of death}
#' \item{\code{survival_benefit}}{Returns a numeric scalar corresponding to
#' the survival benefit.
#' The arguments are \code{spot_values} vector which holds the values of
#' the underlying fund and \code{t} the time index of the survival benefit.}
#' \item{\code{get_premium}}{Returns the premium as non negative scalar}
#' }
#' @references
#' \enumerate{
#' \item{[BMOP2011]}{ \cite{Bacinello A.R., Millossovich P., Olivieri A.,
#' Pitacco E., "Variable annuities: a unifying valuation approach."
#' In: Insurance: Mathematics and Economics 49 (2011), pp. 285-297.
#' }}
#' \item{[BHM2014]}{ \cite{Bernard C., Hardy M. and Mackay A. "State-dependent
#' fees for variable annuity guarantees." In: Astin Bulletin 44 (2014),
#' pp. 559-585.}}
#' }
#'@examples
#'#Sets up the payoff as a roll-up of premiums with roll-up rate 1%
#'
#'rate <- constant_parameters$new(0.01)
#'
#'premium <- 100
#'rollup <- payoff_rollup$new(premium, rate)
#'
#'#Five years time-line
#'begin <- timeDate::timeDate("2016-01-01")
#'end <- timeDate::timeDate("2020-12-31")
#'
#'age <- 60
#'# A constant fee of 2% per year (365 days)
#'fee <- constant_parameters$new(0.02)
#'
#'#Barrier for a state-dependent fee. The fee will be applied only if
#'#the value of the account is below the barrier
#'barrier <- 200
#'
#'#Withdrawal penalty applied in case the insured surrenders the contract
#'#It is a constant penalty in this case
#'penalty <- penalty_class$new(type = 1, 0.01)
#'
#'
#'#Sets up a VA contract with GMAB guarantee. The guaranteed miminum
#'#is the roll-up of premiums with rate 1%
#'contract <- GMAB$new(rollup, t0 = begin, t = end, age = age, fee = fee,
#'barrier = barrier, penalty = penalty)
GMAB <- R6::R6Class("GMAB", inherit = va_product,
public = list(
survival_benefit_times = function() private$surv_times,
surrender_times = function(freq){
#Check on freq units
units <- c("m", "w", "d")
freq_unit = gsub("[ 0-9]", "", freq, perl = TRUE)
if (!(freq_unit %in% units)) stop(error_msg_10())
#
surr_dates <- timeDate::periods(private$times, freq, freq)$to
surr_idx <- vector(mode = "numeric", length = length(surr_dates))
for (i in seq_along(surr_dates))
surr_idx[i] <- which(surr_dates[i] == private$times)
head(surr_idx, -1)
},
cash_flows = function(spot_values, death_time, ...){
fee <- private$the_fee$get()
barrier <- private$the_barrier
penalty <- private$penalty
len <- length(spot_values)
if (death_time <= length(private$times)){
ben <- rep(0, death_time)
out <- calc_account(spot_values[1:death_time], ben, fee, barrier, penalty)
if(death_time < length(private$times)){
out <- rep(out, length.out=len)
out[(death_time+1):len] <- 0
}
} else {
time_int <- c(private$t0, private$t)
ben <- rep(0, len)
out <- calc_account(spot_values, ben, fee, barrier, penalty)
#GMAB living benefit
last <- length(out)
out[last] <- private$the_payoff$get_payoff(out[last], time_int, out)
}
out
},
survival_benefit = function(spot_values, death_time, t){
last <- length(private$times)
penalty <- private$penalty
if (t == last & t != death_time){
fee <- private$the_fee$get()
barrier <- private$the_barrier
t0 <- head(private$times, 1)
t1 <- tail(private$times, 1)
ben <- rep(0, last)
out <- calc_account(spot_values, ben, fee, barrier, penalty)
out <- private$the_payoff$get_payoff(out[last], c(t0, t1), out)
} else out <- 0
out
}
)
)
#' Variable Annuity with GMAB and GMDB guarantees
#' @description
#' Class for a VA with Guaranteed Minimum Accumulation Benefit (GMAB)
#' and Guaranteed Minimum Accumulation Benefit (GMDB).
#' It supports a simple state-dependent fee structure with a single barrier.\cr
#' See \bold{References} for a description of variable annuities life
#' insurance products, their guarantees and fee structures.
#' @docType class
#' @export
#' @return Object of \code{\link{R6Class}}
#' @format \code{\link{R6Class}} object.
#' @section Methods:
#' \describe{
#' \item{\code{new}}{Constructor method with arguments:
#' \describe{
#' \item{\code{payoff}}{\code{payoff} object of the GMAB guarantee}
#' \item{\code{t0}}{\code{\link{timeDate}} object with
#' the issue date of the contract}
#' \item{\code{t}}{\code{timeDate} object with the end date of the
#' accumulation period}
#' \item{\code{t1}}{\code{timeDate} object with the end date of the
#' life benefit payment}
#' \item{\code{age}}{\code{numeric} positive scalar with the age
#' of the policyholder}
#' \item{\code{fee}}{\code{\link{constant_parameters}} object with
#' the fee}
#' \item{\code{barrier}}{\code{numeric} positive scalar with the
#' state-dependent fee barrier}
#' \item{\code{penalty}}{\code{\link{penalty_class}} object with the
#' penalty}
#' \item{\code{death_payoff}}{\code{payoff} object with the payoff
#' of the GMDB guarantee}
#' }
#' }
#' \item{\code{get_times}}{get method for the product time-line.
#' Returns a \code{\link{timeDate}} object}
#' \item{\code{get_age}}{get method for the age of the insured}
#' \item{\code{set_age}}{set method for the age of the insured}
#' \item{\code{get_barrier}}{get method for the state-dependent fee barrier.
#' Returns a positive scalar with the barrier}
#' \item{\code{set_barrier}}{set method for the state-dependent fee barrier.
#' Argument must be a positive scalar.}
#' \item{\code{set_penalty_object}}{the argument \code{penalty} is a
#' \code{\link{penalty_class}} object which is stored in a private field.}
#' \item{\code{get_penalty_object}}{gets the \code{\link{penalty_class}} object.}
#' \item{\code{set_penalty}}{set method for the penalty applied in case of
#' surrender. The argument must be a scalar between 0 and 1.}
#' \item{\code{get_penalty}}{get method for the surrender penalties. It can be
#' a scalar between 0 and 1 in case the penalty is constant or a numeric vector
#' in case the penalty varies with time.}
#' \item{\code{set_fee}}{set method for the contract fee. The argument is
#' a \code{\link{constant_parameters}} object with the fee.}
#' \item{\code{set_payoff}}{set method for the \code{\link{payoff_guarantee}}
#' object of the GMAB rider}
#' \item{\code{set_death_payoff}}{set method for the
#' \code{\link{payoff_guarantee}} object of the GMDB rider}
#' \item{\code{survival_benefit_times}}{returns a \code{numeric} vector with
#' the survival benefit time indexes.}
#' \item{\code{surrender_times}}{returns a \code{numeric} vector with the
#' surrender time indexes. Takes as argument a string with the frequency
#' of the decision if surrendering the contract, e.g. "3m"
#' corresponds to a surrender decision taken every 3 months.}
#' \item{\code{times_in_yrs}}{returns the product time-line in
#' fraction of year}
#' \item{\code{cash_flows}}{returns a \code{numeric} vector with the
#' cash flows of the product. It takes as argument \code{spot_values} a
#' \code{numeric} vector which holds the values of the underlying fund and
#' \code{death_time} a time index with the time of death}
#' \item{\code{survival_benefit}}{Returns a numeric scalar corresponding to
#' the survival benefit.
#' The arguments are \code{spot_values} vector which holds the values of
#' the underlying fund and \code{t} the time index of the survival benefit.}
#' \item{\code{get_premium}}{Returns the premium as non negative scalar}
#' }
#' @references
#' \enumerate{
#' \item{[BMOP2011]}{ \cite{Bacinello A.R., Millossovich P., Olivieri A.,
#' Pitacco E., "Variable annuities: a unifying valuation approach."
#' In: Insurance: Mathematics and Economics 49 (2011), pp. 285-297.
#' }}
#' \item{[BHM2014]}{ \cite{Bernard C., Hardy M. and Mackay A. "State-dependent
#' fees for variable annuity guarantees." In: Astin Bulletin 44 (2014),
#' pp. 559-585.}}
#' }
#'@examples
#'#Sets up the payoff as a roll-up of premiums with roll-up rate 1%
#'
#'rate <- constant_parameters$new(0.01)
#'
#'premium <- 100
#'rollup <- payoff_rollup$new(premium, rate)
#'
#'#Five years time-line
#'begin <- timeDate::timeDate("2016-01-01")
#'end <- timeDate::timeDate("2020-12-31")
#'#Age of the insured
#'age <- 60
#'# A constant fee of 2% per year (365 days)
#'fee <- constant_parameters$new(0.02, 365)
#'
#'#Barrier for a state-dependent fee. The fee will be applied only if
#'#the value of the account is below the barrier
#'barrier <- 200
#'
#'#Withdrawal penalty applied in case the insured surrenders the contract
#'#It is a constant penalty in this case
#'penalty <- penalty_class$new(type = 1, 0.01)
#'
#'#Sets up the GMAB + GMDB with the same payoff for survival and death
#'#benefits
#'contract <- GMAB_GMDB$new(rollup, t0 = begin, t = end, age = age, fee =fee,
#'barrier = barrier, penalty = penalty, death_payoff = rollup)
GMAB_GMDB <- R6::R6Class("GMAB_GMDB", inherit = GMAB,
public = list(
initialize = function(payoff, t0, t, t1, age, fee, barrier, penalty,
death_payoff){
super$initialize(payoff, t0, t, t1, age, fee, barrier, penalty)
if (!missing(death_payoff))
if (inherits(death_payoff, "payoff_guarantee"))
private$the_death_payoff <- death_payoff
else stop(error_msg_1_("death_payoff", "payoff_guarantee"))
else stop("Please provide a guarantee payoff object\n")
},
set_death_payoff = function(death_payoff){
if (!missing(death_payoff))
if (inherits(death_payoff, "payoff_guarantee"))
private$the_death_payoff <- death_payoff
else stop(error_msg_1_("death_payoff", "payoff_guarantee"))
else stop("Please provide a guarantee payoff object\n")
},
cash_flows = function(spot_values, death_time, ...){
fee <- private$the_fee$get()
barrier <- private$the_barrier
penalty <- private$penalty
len <- length(spot_values)
t0 <- private$t0
if (death_time <= length(private$times)){
ben <- rep(0, death_time)
out <- calc_account(spot_values[1:death_time], ben, fee, barrier, penalty)
#GMDB death benefit
last <- length(out)
t <- private$times[death_time]
out[last] <- private$the_death_payoff$get_payoff(out[last], c(t0, t), out)
if(death_time < length(private$times)){
out <- rep(out, length.out=len)
out[(death_time+1):len] <- 0
}
} else {
t <- private$t
ben <- rep(0, len)
out <- calc_account(spot_values, ben, fee, barrier, penalty)
#GMAB living benefit
last <- length(out)
out[last] <- private$the_payoff$get_payoff(out[last], c(t0, t), out)
}
out
}
),
private = list(
#A payoff_guarantee object which stores the type
#of payoff (e.g: roll-up, ratchet, etc) for the death benefit.
the_death_payoff = "payoff_guarantee"
)
)
#' Variable Annuity with GMDB guarantee
#' @description
#' Class for VA with Guaranteed Minimum Death Benefit (GMDB).
#' It supports a simple state-dependent fee structure with a single barrier.\cr
#' See \bold{References} for a description of variable annuities life
#' insurance products, their guarantees and fee structures.
#' @docType class
#' @export
#' @return Object of \code{\link{R6Class}}
#' @format \code{\link{R6Class}} object.
#' @section Methods:
#' \describe{
#' \item{\code{new}}{Constructor method with arguments:
#' \describe{
#' \item{\code{payoff}}{\code{payoff} object of the GMDB guarantee}
#' \item{\code{t0}}{\code{\link{timeDate}} object with
#' the issue date of the contract}
#' \item{\code{t}}{\code{timeDate} object with the end date of the
#' accumulation period}
#' \item{\code{t1}}{\code{timeDate} object with the end date of the
#' life benefit payment}
#' \item{\code{age}}{\code{numeric} positive scalar with the age
#' of the policyholder}
#' \item{\code{fee}}{\code{\link{constant_parameters}} object with
#' the fee}
#' \item{\code{barrier}}{\code{numeric} positive scalar with the
#' state-dependent fee barrier}
#' \item{\code{penalty}}{\code{\link{penalty_class}} object with the
#' penalty}
#' }
#' }
#' \item{\code{get_times}}{get method for the product time-line.
#' Returns a \code{\link{timeDate}} object}
#' \item{\code{get_age}}{get method for the age of the insured}
#' \item{\code{set_age}}{set method for the age of the insured}
#' \item{\code{get_barrier}}{get method for the state-dependent fee barrier.
#' Returns a positive scalar with the barrier}
#' \item{\code{set_barrier}}{set method for the state-dependent fee barrier.
#' Argument must be a positive scalar.}
#' \item{\code{set_penalty_object}}{the argument \code{penalty} is a
#' \code{\link{penalty_class}} object which is stored in a private field.}
#' \item{\code{get_penalty_object}}{gets the \code{\link{penalty_class}} object.}
#' \item{\code{set_penalty}}{set method for the penalty applied in case of
#' surrender. The argument must be a scalar between 0 and 1.}
#' \item{\code{get_penalty}}{get method for the surrender penalties. It can be
#' a scalar between 0 and 1 in case the penalty is constant or a numeric vector
#' in case the penalty varies with time.}
#' \item{\code{set_fee}}{set method for the contract fee. The argument is
#' a \code{\link{constant_parameters}} object with the fee.}
#' \item{\code{survival_benefit_times}}{returns a \code{numeric} vector with
#' the survival benefit time indexes.}
#' \item{\code{surrender_times}}{returns a \code{numeric} vector with the
#' surrender time indexes. Takes as argument a string with the frequency
#' of the decision if surrendering the contract, e.g. "3m"
#' corresponds to a surrender decision taken every 3 months.}
#' \item{\code{times_in_yrs}}{returns the product time-line in
#' fraction of year}
#' \item{\code{cash_flows}}{returns a \code{numeric} vector with the
#' cash flows of the product. It takes as argument \code{spot_values} a
#' \code{numeric} vector which holds the values of the underlying fund and
#' \code{death_time} a time index with the time of death}
#' \item{\code{survival_benefit}}{Returns a numeric scalar corresponding to
#' the survival benefit.
#' The arguments are \code{spot_values} vector which holds the values of
#' the underlying fund and \code{t} the time index of the survival benefit.}
#' \item{\code{get_premium}}{Returns the premium as non negative scalar}
#' }
#' @references
#' \enumerate{
#' \item{[BMOP2011]}{ \cite{Bacinello A.R., Millossovich P., Olivieri A.,
#' Pitacco E., "Variable annuities: a unifying valuation approach."
#' In: Insurance: Mathematics and Economics 49 (2011), pp. 285-297.
#' }}
#' \item{[BHM2014]}{ \cite{Bernard C., Hardy M. and Mackay A. "State-dependent
#' fees for variable annuity guarantees." In: Astin Bulletin 44 (2014),
#' pp. 559-585.}}
#' }
#'@examples
#'#Sets up the payoff as a roll-up of premiums with roll-up rate 2%
#'
#'rate <- constant_parameters$new(0.02)
#'
#'premium <- 100
#'rollup <- payoff_rollup$new(premium, rate)
#'
#'begin <- timeDate::timeDate("2016-01-01")
#'end <- timeDate::timeDate("2020-12-31")
#'
#'age <- 60
#'# A constant fee of 0.02% per year (365 days)
#'fee <- constant_parameters$new(0.02)
#'
#'#Barrier for a state-dependent fee. The fee will be applied only if
#'#the value of the account is below the barrier
#'barrier <- Inf
#'
#'#Withdrawal penalty applied in case the insured surrenders the contract
#'#It is a constant penalty in this case
#'penalty <- penalty_class$new(type = 1, 0.01)
#'
#'#Sets up a VA contract with GMDB guarantee. The guaranteed miminum
#'#is the roll-up of premiums with rate 2%
#'
#'contract <- GMDB$new(rollup, t0 = begin, t = end, age = age, fee = fee,
#'barrier = barrier, penalty = penalty)
GMDB <- R6::R6Class("GMDB", inherit = GMAB,
public = list(
cash_flows = function(spot_values, death_time, ...){
fee <- private$the_fee$get()
barrier <- private$the_barrier
penalty <- private$penalty
len <- length(spot_values)
t0 <- private$t0
if (death_time <= length(private$times)){
ben <- rep(0, death_time)
out <- calc_account(spot_values[1:death_time], ben, fee, barrier, penalty)
#GMDB death benefit
last <- length(out)
t <- private$times[death_time]
out[last] <- private$the_payoff$get_payoff(out[last], c(t0, t), out)
if(death_time < length(private$times)){
out <- rep(out, length.out=len)
out[(death_time+1):len] <- 0
}
} else {
ben <- rep(0, len)
out <- calc_account(spot_values, ben, fee, barrier, penalty)
}
out
},
survival_benefit = function(spot_values, death_time, t){
last <- private$surv_times
penalty <- private$penalty
if (t == last & t != death_time){
fee <- private$the_fee$get()
barrier <- private$the_barrier
ben <- rep(0, last)
out <- calc_account(spot_values, ben, fee, barrier, penalty)
out <- out[last]
} else out <- 0
out
}
)
)
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