Publications related to Systemic Risk in Networks with a Central Node

Related publications (19)

Do patent pledges accelerate innovation?

This paper estimates the effect of patent pledges, commitments made voluntarily by patent holders to limit the enforcement of their patents, on follow-on inventions. Patent pledges have been gaining popularity in recent years thanks to the highly visible p ...

ELSEVIER2023

Can Corporate Debt Foster Innovation and Growth?

Erwan Morellec

Recent empirical studies have shown that innovative firms heavily rely on debt financing. Debt overhang implies that debt hampers innovation by incumbents. A second effect of debt is that it stimulates innovation by entrants. Using a Schumpeterian growth m ...

OXFORD UNIV PRESS INC2022

Scale-dependent measure of network centrality from diffusion dynamics

Alexis Arnaudon

Classic measures of graph centrality capture distinct aspects of node importance, from the local (e.g., degree) to the global (e.g., closeness). Here we exploit the connection between diffusion and geometry to introduce a multiscale centrality measure. A n ...

AMER PHYSICAL SOC2020

Preface (TR part B)

Nikolaos Geroliminis

PERGAMON-ELSEVIER SCIENCE LTD2020

Three Problems of Liquidity under Asymmetric Information

Sylvain Jean Pascal Carré

This thesis develops models for three problems of liquidity under asymmetric information. In the chapter "Disclosures, Rollover Risk, and Debt Runs" I build a model of dynamic debt runs without perfect information in order to understand the impact of asset ...

EPFL2019

The key player problem in complex oscillator networks and electric power grids: Resistance centralities identify local vulnerabilities

Philippe René Joseph Jacquod, Melvyn Sandy Tyloo

Identifying key players in coupled individual systems is a fundamental problem in network theory. We investigate synchronizable network-coupled dynamical systems such as high-voltage electric power grids and coupled oscillators on complex networks. We defi ...

2019

Dynamic prediction-based relocation policies in one-way station-based carsharing systems with complete journey reservations

Nikolaos Geroliminis, Burak Boyaci, Martin Jean Marie Joseph Repoux, Mor Kaspi

In this paper, we study the operations of a one-way station-based carsharing system implementing a complete journey reservation policy. We consider the percentage of served demand as a primary performance measure and analyze the effect of several dynamic s ...

PERGAMON-ELSEVIER SCIENCE LTD2019

Nuove ecologie alpine: industrializzazione e costruzione della città-territorio

Roberto Sega

This research study offers a reflection on the Alpine urban condition through the observation of the spaces of production. Departing from the premise that the tourist economy cannot be the only possible horizon for Alpine development, this thesis reflects ...

EPFL2018

Polynomial models in finance

Damien Edouard Ackerer

This thesis presents new flexible dynamic stochastic models for the evolution of market prices and new methods for the valuation of derivatives. These models and methods build on the recently characterized class of polynomial jump-diffusion processes for w ...

EPFL2017

Dynamics of functional connectivity at high spatial resolution reveal long-range interactions and fine-scale organization

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Dynamic functional connectivity (dFC) derived from resting-state functional magnetic resonance imaging sheds light onto moment-to-moment reconfigurations of large-scale functional brain networks. Due to computational limits, connectivity is typically compu ...

Nature Research2017

Essays in Bank Financing

Yalda Sigrist

This thesis examines the optimal mode of financing for banks and financial institutions. The first chapter, which is a joint work with Prof. Jean-Charles Rochet, investigates how Systemically Important Financial Institutions (SIFIs) should be financed. The ...

EPFL2017

Eigenmaps Of Dynamic Functional Connectivity: Voxel-Level Dominant Patterns Through Eigenvector Centrality

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Dynamic functional connectivity (dFC) based on resting-state functional magnetic resonance imaging (fMRI) explores the ongoing temporal configuration of brain networks. To reduce the large dimensionality of the data, conventional dFC analysis usually fores ...

IEEE2016

Uniqueness of equilibrium in a payment system with liquidation costs

Damir Filipovic, Léo Hamed Amini

We study a financial network where forced liquidations of an illiquid asset have a negative impact on its price, thus reinforcing network contagion. We give conditions for uniqueness of the clearing asset price and liability payments. Our main result holds ...

Elsevier Science Bv2016

Distributed rate allocation in switch-based multiparty videoconference

Pascal Frossard, Sergio Mena, Stefano D'Aronco

Multiparty videoconferences, or more generally multiparty video calls, are gaining a lot of popularity as they offer a rich communication experience. These applications have however, large requirements in terms of both network and computational resources a ...

ACM2016

Character network analysis of Émile Zola’s Les Rougon-Macquart

Yannick Rochat

In this work, we use network analysis methods to sketch a typology of fiction novels based on characters and their proximity in the narration. We construct character networks modelling the twenty novels composing Les Rougon-Macquart, written by Émile Zola. ...

2015

The impact of study load on the dynamics of longitudinal email communications among students

Beat Adrian Schwendimann

With the advent of information technology, emails have gained wide acceptability among students as an asynchronous communication tool. According to the current pedagogy literature the overall trend of the use of email communication by university students h ...

Elsevier2014

Multi-Graph Sampling Of Online Communities Via Mean Hitting Time

We derive a framework for sampling online communities based on the mean hitting time of its members, considering that there are multiple graphs associated with the same vertex set V representing the social network. First, we formulate random walk models on ...

Ieee2012

Automatic skill acquisition in Reinforcement Learning using connection graph stability centrality

Martin Hasler, Ali Ajdari Rad

Reinforcement Learning (RL) is an approach for training agent's behavior through trial-and-error interactions with a dynamic environment. An important problem of RL is that in large domains an enormous number of decisions are to be made. Hence, instead of ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Dynamic investment and financing under personal taxation

Erwan Morellec, Norman Schuerhoff

This paper examines the effects of capital gains taxation on firms’ investment and financing decisions. We develop a real options model in which the timing of investment, the decision to default, and the firm’s capital structure are endogenously and jointl ...

2010