Cat bonds & Artificial Neural Networks, our tribune published on Risk.net.

Global Research & Analytics

10 September 2018

Published by B. Genest

Cat bonds & Artificial Neural Networks, our tribune published on Risk.net.

With this paper, the authors have wished to present a mathematic model allowing to predict the number and the cost of incoming catastrophes. The data it is built upon include wind catastrophes affecting the southeast area of the United States and which damages exceed a billion dollars.

 

Over the last fifty years, numbers and costs of natural disasters have indeed multiplied, and insurers and reinsurers, struggling to cover the associated losses, have turned to financial markets in order to obtain new hedging capabilities, among which products “excess of loss contracts” (named XL) and cat bonds.

 

The model intends to assist in the pricing of insurance risk transfer products, such as XL contracts or cat bonds. To read online : https://www.risklibrary.net/risk-management/cat-bonds-artificial-neural-networks-example-reinsurance-products-pricing-using-machine-learning-methods-29456?cta=true

 

Published by B. Genest

Article Global Research & Analytics - Cat bonds & Artificial Neural Networks, our tribune published on Risk.net - 10 September 2018

In this article : Collateral cat bonds Neural networks GRA

Latest articles

Global Research & Analytics

White paper on Model Risk Management: How to measure and quantify model risk?

News and views
5 December 2019

The aim of this paper is to present model risk situations and a methodology to measure and quantify the associated risk at model level, with different types of assumptions.

Global Research & Analytics

White paper on Model Risk Management: How to measure and quantify model risk?

News and views
5 December 2019

The aim of this paper is to present model risk situations and a methodology to measure and quantify the associated risk at model level.

Global Research & Analytics

Global Research Analytics Booklet "Risk & modelling" - Third Edition

News and views
15 July 2019

After seven years of existence, the GRA team continues to explore the issues of risk quantification. This third booklet still demonstrates the perseverance of the GRA work and reflects ...

More related contents