Results 71 to 80 of about 8,519,632 (410)

Explainable Machine Learning in Credit Risk Management

open access: yesComputational Economics, 2019
The paper proposes an explainable Artificial Intelligence model that can be used in credit risk management and, in particular, in measuring the risks that arise when credit is borrowed employing peer to peer lending platforms.
N. Bussmann   +3 more
semanticscholar   +1 more source

Materials Advances in Devices for Heart Disease Interventions

open access: yesAdvanced Materials, EarlyView.
This review examines the crucial role of materials in heart disease interventions, focusing on strategies for monitoring, managing, and repairing heart conditions. It discusses the material requirements for medical devices, highlighting recent innovations and their impact on cardiovascular health.
Gagan K. Jalandhra   +11 more
wiley   +1 more source

Board composition, monitoring and credit risk: evidence from the UK banking industry [PDF]

open access: yes, 2017
This paper examines the effects of board composition and monitoring on the credit risk in the UK banking sector. The study finds CEO duality, pay and board independence to have a positive and significant effect on credit risk of the UK banks.
Boateng, Agyenim, Lu, Jia
core   +2 more sources

Linear credit risk models [PDF]

open access: yesFinance and Stochastics, 2016
We introduce a novel class of credit risk models in which the drift of the survival process of a firm is a linear function of the factors. The prices of defaultable bonds and credit default swaps (CDS) are linear-rational in the factors. The price of a CDS option can be uniformly approximated by polynomials in the factors. Multi-name models can produce
Damien Ackerer   +2 more
openaire   +5 more sources

Credit risk prediction in an imbalanced social lending environment [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2018
Credit risk prediction is an effective way of evaluating whether a potential borrower will repay a loan, particularly in peer-to-peer lending where class imbalance problems are prevalent.
Anahita Namvar   +3 more
semanticscholar   +1 more source

Recycling and Sustainable Design for Smart Textiles − A Review

open access: yesAdvanced Sustainable Systems, EarlyView.
The article reviews recycling strategies and sustainable design approaches for smart textiles, emphasizing eco‐friendly materials, mechanical and chemical recycling methods, and circular economy principles. It explores challenges in separating embedded electronics and highlights recent innovations in sustainable textile technology.
Melkie Getnet Tadesse   +3 more
wiley   +1 more source

A network model of stress contagion: evidence from the vocational classroom

open access: yesEmpirical Research in Vocational Education and Training
Purpose Our study focuses on stress contagion in vocational school classes, examining how students’ stress experiences affect their spatial classmates.
Tobias Kärner   +2 more
doaj   +1 more source

Credit Risk Transfers and the Macroeconomy [PDF]

open access: yesSSRN Electronic Journal, 2010
The recent financial crisis has highlighted the limits of the 'originate to distribute' model of banking, but its nexus with the macroeconomy and monetary policy remains unexplored. I build a DSGE model with banks (along the lines of Holmström and Tirole [28] and Parlour and Plantin [39]) and examine its properties with and without active secondary ...
openaire   +8 more sources

Fintech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk

open access: yesIMF Working Papers, 2019
Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion.
Majid Bazarbash
semanticscholar   +1 more source

Mimicking Biochemical Traits with a Synthetic Lipid Nanoparticles SARS‐COV‐2 Model

open access: yesAdvanced Therapeutics, EarlyView.
A synthetic virus model developed using lipid nanoparticles, which incorporate encapsulated mRNA and nucleocapsid (N) protein along with surface‐conjugated spike (S) protein, mimics the characteristics of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), allowing for the advancement of diagnostic product assessment.
Ignasia Handipta Mahardika   +7 more
wiley   +1 more source

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