Results 21 to 30 of about 2,603,502 (346)

Transatlantic systemic risk [PDF]

open access: yesJournal of Banking & Finance, 2013
In this paper we study systemic risk for the US and Europe. We show that banks’ exposures to common risk factors are crucial for systemic risk. We come to this conclusion by rst showing that relations between US and European banks are smaller than within each region.
Trapp, Monika, Wewel, Claudio
openaire   +3 more sources

Invited perspectives: Views of 350 natural hazard community members on key challenges in natural hazards research and the Sustainable Development Goals [PDF]

open access: yesNatural Hazards and Earth System Sciences, 2022
In this paper, we present the results of an NHESS (Natural Hazards and Earth System Sciences) 20th anniversary survey, in which 350 natural hazard community members responded to two questions: (Q1) “what are the top three scientific challenges you ...
R. Šakić Trogrlić   +3 more
doaj   +1 more source

Loan renegotiation and the long-term impact on total factor productivity

open access: yesLatin American Journal of Central Banking, 2022
When a loan is close to becoming non-performing, banks have stronger incentives to renegotiate it in favourable conditions for the borrower (loan forbearance) rather than for recognising and resolving the non-performing loan.
Antonio Sánchez Serrano
doaj  

Navigating systemic risks: governance of and for systemic risks [PDF]

open access: yesGlobal Sustainability
Abstract Non-technical summary Systemic risks such as climate change and pandemics are complex and interconnected. Managing such risks requires effective organisational structures and processes. This publication presents conceptually robust, evidence-based approaches for assessing and managing systemic risks.
Pia-Johanna Schweizer, Sirkku Juhola
openaire   +2 more sources

K-Correspondences, USCOs, and fixed point problems arising in discounted stochastic games

open access: yesFixed Point Theory and Applications, 2020
We establish a fixed point theorem for the composition of nonconvex, measurable selection valued correspondences with Banach space valued selections.
Frank H. Page, Jing Fu
doaj   +1 more source

Primary extranodal diffuse large B‐cell lymphoma: Molecular features, treatment, and prognosis

open access: yesAging and Cancer, Volume 3, Issue 3-4, Page 133-146, September-December 2022., 2022
One‐third of DLBCL arises from extranodal organs and is challenging to manage. Molecular features are critical to elucidate the differences in clinical features, predict the disease prognosis, and improve effective targeted therapeutic strategies. Abstract Diffuse large B‐cell lymphoma (DLBCL) is the most common subtype of non‐Hodgkin's lymphoma and ...
Si‐Yuan Chen   +3 more
wiley   +1 more source

On fairness of systemic risk measures [PDF]

open access: yesFinance and Stochastics, 2020
AbstractIn our previous paper “A unified approach to systemic risk measures via acceptance sets” (Mathematical Finance, 2018), we have introduced a general class of systemic risk measures that allow random allocations to individual banks before aggregation of their risks.
Jean-Pierre Fouque   +4 more
openaire   +5 more sources

Stronger connectivity and higher extraversion protect against stress-related deterioration of cognitive functions

open access: yesScientific Reports, 2021
Here we attempted to define the relationship between: EEG activity, personality and coping during lockdown. We were in a unique situation since the COVID-19 outbreak interrupted our independent longitudinal study.
Jacek Rogala   +6 more
doaj   +1 more source

Heterogeneous Criticality in High Frequency Finance: A Phase Transition in Flash Crashes

open access: yesEntropy, 2022
Flash crashes in financial markets have become increasingly important, attracting attention from financial regulators, market makers as well as from the media and the broader audience.
Jeremy D. Turiel, Tomaso Aste
doaj   +1 more source

The Risks of Machine Learning Systems [PDF]

open access: yesarXiv, 2022
The speed and scale at which machine learning (ML) systems are deployed are accelerating even as an increasing number of studies highlight their potential for negative impact. There is a clear need for companies and regulators to manage the risk from proposed ML systems before they harm people.
arxiv  

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