Librería actuarial pyliferisk¶

In [1]:

!pip install pyliferisk

Collecting pyliferisk
  Downloading pyliferisk-1.12.0-py3-none-any.whl (39 kB)
Installing collected packages: pyliferisk
Successfully installed pyliferisk-1.12.0

Example 1¶

Print the omega (limiting age) of the both mortality tables and the qx at 50 years-old.

In [ ]:

from pyliferisk import MortalityTable
from pyliferisk.mortalitytables import SPAININE2004, GKM95

tariff = MortalityTable(nt=SPAININE2004)
experience = MortalityTable(nt=GKM95, perc=85)

# Print the omega (limiting age) of the both tables:
print(tariff.w)
print(experience.w)

# Print the qx at 50 years old:
print(tariff.qx[50] / 1000)
print(experience.qx[50] / 1000)

101
121
0.003113
0.003662395

Example 2¶

Plotting a surviving graph.

In [ ]:

import matplotlib.pyplot as plt
from pyliferisk import *
from pyliferisk.mortalitytables import SPAININE2004, GKM95

tariff = MortalityTable(nt=SPAININE2004)
experience = MortalityTable(nt=GKM95, perc=75)
x = range(0, tariff.w)
y = tariff.lx[:tariff.w]
z = experience.lx[:tariff.w]

plt.plot(x,y, color = 'blue')
plt.plot(x,z, color = 'red')
plt.ylabel('lx')
plt.xlabel('age')

Out[ ]:

Text(0.5, 0, 'age')

Example 3¶

A Life Temporal insurance for a male, 30 years-old and a horizon for 10 years, fixed annual premium (GKM95, interest 6%):

In [ ]:

from pyliferisk import *
from pyliferisk.mortalitytables import GKM95

nt = Actuarial(nt=GKM95, i=0.06)
x = 30
n = 10
C = 1000

print(C * (Axn(nt, x, n) / annuity(nt, x, n, 0)))

1.3581166922356989