SATW: CreHos: Novel Machine Learning Algorithms and Alternative Data Sources for Better Credit Risk Assessment for the Hospitality Sector

We help you find the perfect fit.

Swiss Ai Research Overview Platform

Research Filter for AI research topics like machine learning or computer vision from our taxonomy.
Applications Filter for application areas in which AI is applied and further developed.
Institutions Fitler for different Swiss research institutions acitve in AI.
Other filters Check out more filters here.

New project Filter for recently published projects.
Start date Filter projects according to their start dates.
End date Filter projects according to their end dates.
Funding body Filter projects according to the funding organisation who mainly finance the project.
Budget Filter projects according to their overall budget in CHF (where available).

CreHos: Novel Machine Learning Algorithms and Alternative Data Sources for Better Credit Risk Assessment for the Hospitality Sector

Lay summary

CreHos: Novel Machine Learning Algorithms and Alternative Data Sources for Better Credit Risk Assessment for the Hospitality Sector

Abstract

The goal is to develop a novel credit risk assessment solution for the hospitality sector and SMEs in general which (i) uses interpretable machine learning, (ii) uses novel, alternative data sources, (iii) models residual spatial correlation, and (iv) allows for making multi-period forecasts.

Last updated:22.10.2023

Original data source 55463.1 IP-ICT i

0 People