Concept

Credit risk

Related publications (32)

Genetic variation near CXCL12 is associated with susceptibility to HIV-related non-Hodgkin lymphoma

Jacques Fellay, Christian Axel Wandall Thorball, Christian Hammer

Human immunodeficiency virus (HIV) infection is associated with an increased risk of non-Hodgkin lymphoma (NHL). Even in the era of suppressive antiretroviral treatment, HIV-infected individuals remain at higher risk of developing NHL compared to the gener ...

FERRATA STORTI FOUNDATION2021

Collision risk from space debris. Policy options

Romain Buchs

Improving risk assessment and conducting thorough cost-benefit analyses of the different proposed management options are of paramount importance to making informed decisions. However, getting a comprehensive picture of a complex, ambiguous and uncertain ri ...

EPFL International Risk Governance Center2021

Developing a UV climatology for public health purposes using satellite data

Athanasios Nenes, David Vernez

The effects of solar ultraviolet (UV) radiation on life on Earth differ greatly. While overexposure to UV rays is harmful, small amounts of exposure are necessary for the synthesis of Vitamin D and good health. To optimize individual exposure to solar UV, ...

2021

Epidemic mitigation by statistical inference from contact tracing data

Florent Gérard Krzakala, Lenka Zdeborová, Maria Refinetti, Indaco Biazzo, Giovanni Catania

Contact tracing is an essential tool to mitigate the impact of a pandemic, such as the COVID-19 pandemic. In order to achieve efficient and scalable contact tracing in real time, digital devices can play an important role. While a lot of attention has been ...

2021

Short-term debt and incentives for risk-taking

Erwan Morellec, Francesca Maria Zucchi

We challenge the view that short-term debt curbs moral hazard and demonstrate that, in a world with financing frictions and fair debt pricing, short-term debt generates incentives for risk-taking. To do so, we develop a model in which firms are financed wi ...

ELSEVIER SCIENCE SA2020

Competitive Neural Layer-based Method to Identify People with High Risk for Diabetic Foot

André Anjos

Background and objective: To automatically identify patients with diabetes mellitus (DM) who have high risk of developing diabetic foot, via an unsupervised machine learning technique. Methods: We collected a new database containing 54 known risk factors f ...

2020

Analysis of volumetric mass transfer coefficient (k(L)a) in small- (250 mL) to large-scale (2500 L) orbitally shaken bioreactors

Florian Maria Wurm, David Hacker, Likuan Zhu

In this study, the combination of dimensional analysis (DA) and analysis of variance (ANOVA) was used to predict the volumetric mass transfer coefficient (k(L)a) values under different operating conditions for orbitally shaken bioreactors (OSRs) with diffe ...

SPRINGER HEIDELBERG2020

Improved Credit Bounds for the Credit-Based Shaper in Time-Sensitive Networking

Jean-Yves Le Boudec, Eleni Stai, Ehsan Mohammadpour

In Time-Sensitive Networking (TSN), it is important to formally prove per-flow latency and backlog bounds. To this end, recent works have applied network calculus and obtained latency bounds from service curves. The latency component of such service curves ...

2019

The sources of sovereign risk: a calibration based on Levy stochastic processes

Sylvain Jean Pascal Carré, Daniel Cohen

Governments choose to issue risky or riskless debt depending on the nature of the stochastic process of output. We use Brownian motion and Poisson shocks a modeling method in the literature on corporate default known as Levy processes to approximate a deco ...

ELSEVIER SCIENCE BV2019

Three Essays in Banking and Finance

Damien Olivier Klossner

This thesis develops three models that study the motivation of various agents to take on debt, and the impact that excessive financial leverage can have on social welfare. In the chapter "Short-term Bank Leverage and the Value of Liquid Reserves", the ince ...

EPFL2019

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.