Yves Staudt

Yves Staudt
University of Applied Sciences of the Grisons

PhD in Actuarial Science

About

10
Publications
1,744
Reads
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22
Citations
Citations since 2017
10 Research Items
22 Citations
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Introduction
Passionate Datascientist in different topics as actuarial science, tourism/leisure and physics. Great experiences in machine and deep learning to reveal results out of data. Member of the the center of dataanalytics, visualization and simulation
Additional affiliations
October 2019 - present
Applied Universit of the Grisions
Position
  • Analyst
Education
May 2015 - August 2019
University of Lausanne
Field of study
  • Actuarial Science

Publications

Publications (10)
Article
Full-text available
Customer relationship management and marketing analytics have become critical for non-life insurers operating in highly competitive markets. As it is easier to develop an existing customer than to acquire a new one, cross-selling and retention are key activities. In this research, we focus on both car and household-liability insurance products and...
Article
Full-text available
Equalization reserves is an insurance liability with features of own capital. By law, Swiss reinsurance and non-life undertakings must hold equalization reserves within their statutory accounts. Regarding Swiss solvency modeling, the equalization reserves are set to zero. Swiss reinsurance and non-life undertakings define the upper limit and the co...
Article
Full-text available
Public transport maps are typically designed in a way to support route finding tasks for passengers, while they also provide an overview about stations, metro lines, and city-specific attractions. Most of those maps are designed as a static representation, maybe placed in a metro station or printed in a travel guide. In this paper, we describe a dy...
Chapter
Die Fachhochschule Graubünden entwickelte mit der Weissen Arena Gruppe und LAAX Homes AG einen Forschungsprototyp für die Personalallokation und -planung für das Immobilienmanagement im Tourismus. Nach der Modellierung der Übernachtungsangebote und der Personalstrukturdaten wurde ein Constraint Satisfaction Solver für die Personalallokation durch d...
Article
Full-text available
For calculating non-life insurance premiums, actuaries traditionally rely on separate severity and frequency models using covariates to explain the claims loss exposure. In this paper, we focus on the claim severity. First, we build two reference models, a generalized linear model and a generalized additive model, relying on a log-normal distributi...
Article
Public transport maps are typically designed in a way to support route finding tasks for passengers while they also provide an overview about stations, metro lines, and city-specific attractions. Most of those maps are designed as a static representation, maybe placed in a metro station or printed in a travel guide. In this paper we describe a dyna...
Preprint
Adequate pricing of car insurance contracts is an important challenge for many non-life insurance companies. When actuaries rely on models using covariates to explain the claims exposure in ratemaking, they often model the severity and the frequency of losses separately. The aim of this paper is to compare the performance of two machine learning me...
Article
Purpose Over the last decade, technological and social trends have significantly influenced the relationship between customers and insurers. New buying patterns, price comparison platforms and the usage of different interaction channels driving single-product purchases and impacting lapses have influenced insurers’ customer portfolios and developm...

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Projects

Project (1)
Project
The aim is to compare the performance of claims severity models (GAM and GBM) with the help of the Goodness of Lift Statistics. These new measures will be compared to the one of Goodness of Fit.