Blog posts

Welcome to the first post in our new series, "Cloud computing". In this series, we'll delve into the world of cloud computing and explore how it can be effectively utilized for actuarial purposes. In this post, our focus will be on running a cash flow model and saving the results in the cloud.

List of content:

1. Introduction
2. Prerequisities
3. Solution

Introduction

Cloud computing delivers IT resources, such as servers, computing power, networking, and databases, over the internet on an "on-demand" basis. Leading cloud infrastructure providers include Amazon Web Services (AWS), Microsoft Azure and Google Cloud. For this guide, we'll use AWS …

In this blog post, we explore the topic of multiple life functions within actuarial science. Up until now, our focus has been on insurance products that revolved around the life of an individual. However, in this exploration, we direct our focus to insurance products that involve multiple insured persons. We'll begin by exploring the various types of such products and then roll up our sleeves to construct a basic model using Python, leveraging the cashflower package.

List of content:

1. Multiple life functions
2. The joint-life status
3. The last-survivor status
4. Modelling example

Multiple life functions

Expanding upon the concept of life insurance …

In the world of actuarial science, we frequently encounter optimization problems. These challenges are most prevalent in the realm of pricing, where our goal is often to achieve a specific objective, such as expected profit. In this post, we will dive into a simple actuarial optimization problem and demonstrate how to solve it using two tools: Excel's Solver and Python.

List of content:

1. Scenario
2. Excel's Solver solution
3. Python solution

Scenario

Let's consider a 3-year term policy with a net premium of €100. We aim to find a profit margin that yields a present value of premiums equal to €3000, assuming …