Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library: insurance
See also: INSgam INSwei INSpareto INSbur

Quantlet: INSlogn
Description: returns the pure risk premium for lognormal distribution of losses.

Reference(s):

Usage: y = INSlogn(b,d2,d1,c,m2,m1,mu,sigma,ind)
Input:
b n x 1 vector, deductible (in case of fixed deductible, franchise deductible or proportional deductible)
d2 n x 1 vector, maximum amount, d2>d1, of linear reduction for disappearing deductible
d1 scalar, minimum amount of linear reduction for disappearing deductible
c scalar, deductible (in case of limited proportional deductible)
m2 n x 1 vector, maximum amount, m2>m1, for limited proportional deductible
m1 scalar, minimum amount for limited proportional deductible
mu scalar, parameter mu from lognormal distribution
sigma scalar, parameter sigma from lognormal distribution
ind scalar, if ind=1, franchise deductible if ind=2, fixed amount deductible if ind=3, proportional deductible if ind=4, limited proportional deductible if ind=5, disappearing deductible
Output:
y n x 1 vector, value of the pure risk premium for lognormal distribution of losses

Example:
library("insurance")
library("distribs")
library("plot")
mu=18.4406                        ;mu parameter in lognormal distribution
sigma=1.1348                      ;sigma parameter in lognormal distribution
a=(0:100)*10000000               ;argument in payment functions
u1=INSlogn(a,0,0,0,0,0,mu,sigma,1)
u2=INSlogn(a,0,0,0,0,0,mu,sigma,2)
s1 = setmask(a/1000000~u1/1000000,"line","black")
s2=setmask(a/1000000~u2/1000000,"line","red")
plotdisplay = createdisplay(1,1)
show(plotdisplay,1,1,s1,s2)
setgopt(plotdisplay,1,1,"xmajor",200,"ymajor",50)
setgopt(plotdisplay,1,1,"yvalue",0|1)
setgopt(plotdisplay,1,1,"xvalue",0|1)
setgopt(plotdisplay,1,1,"border",0)
setgopt(plotdisplay,1,1, "xlabel", "Deductible(USD million)", "ylabel", " Premium(USD million)")
setgopt(plotdisplay,1,1,"title","Pure Risk Premium - lognormal")

Result:
Plot of pure risk premium under franchise deductible (black)
and fixed amount deductible (red).
Example:
library("insurance")
library("distribs")
library("plot")
mu=18.4406                        ;mu parameter in lognormal distribution
sigma=1.1348                      ;sigma parameter in lognormal distribution
m2=(20:100)*10000000               ;argument in payment functions
c1=0.2                             ;parameters c and m1 in the case of limited proportional deductible
c2=0.4
m11=100000000
m12=500000
u1=INSlogn(0,0,0,c1,m2,m11,mu,sigma,4)
u2=INSlogn(0,0,0,c2,m2,m11,mu,sigma,4)
u3=INSlogn(0,0,0,c1,m2,m12,mu,sigma,4)
u4=INSlogn(0,0,0,c2,m2,m12,mu,sigma,4)
s1 = setmask(m2/1000000~u1/1000000,"line","black")
s2=setmask(m2/1000000~u2/1000000,"line","red")
s3 = setmask(m2/1000000~u3/1000000,"line","green")
s4=setmask(m2/1000000~u4/1000000,"line","blue")
plotdisplay = createdisplay(1,1)
show(plotdisplay,1,1,s1,s2,s3,s4)
setgopt(plotdisplay,1,1,"xlim",200|1000)
setgopt(plotdisplay,1,1,"xmajor",200)
setgopt(plotdisplay,1,1,"yvalue",0|1)
setgopt(plotdisplay,1,1,"xvalue",0|1)
setgopt(plotdisplay,1,1,"border",0)
setgopt(plotdisplay,1,1, "xlabel", "Deductible(USD million)", "ylabel", " Premium(USD million)")
setgopt(plotdisplay,1,1,"title","Pure Risk Premium - lognormal")

Result:
Plots of pure risk premium under limited proportional deductible with parameters:
c1,m11 (black), c2,m11 (red), c1,m12 (green) and c2,m12 (blue).



Author: A. Wylomanska, 20031205 license MD*Tech
(C) MD*TECH Method and Data Technologies, 05.02.2006