Results 61 to 70 of about 65,510 (305)

COVID-19 pandemic risk and probability of loan default: evidence from marketplace lending market

open access: yesFinancial Innovation, 2021
As the COVID-19 pandemic adversely affects the financial markets, a better understanding of the lending dynamics of a successful marketplace is necessary under the conditions of financial distress.
Asror Nigmonov, Syed Shams
doaj   +1 more source

Examining the Factors Contributing to Fintech Peer-to-peer Lending Adoption

open access: yesJournal of Information Systems Engineering and Business Intelligence, 2021
Background: Peer-to-peer (P2P) lending platform is one of key disruptive business models in financial technology. It bridges lenders and borrowers directly. Researchers have studied the leverage mechanism behind the P2P lending platform. Objective: This
Rudy Sunardi   +3 more
doaj   +1 more source

Explainability of a Machine Learning Granting Scoring Model in Peer-to-Peer Lending

open access: yes, 2020
Peer-to-peer (P2P) lending demands effective and explainable credit risk models. Typical machine learning algorithms offer high prediction performance, but most of them lack explanatory power.
Ariza Garzón, Miller Janny   +3 more
core   +1 more source

Ethical and Frugal Approaches to Animal Experimentation in Bioelectronics and Neural Engineering—An Invertebrate Renaissance?

open access: yesAdvanced Electronic Materials, EarlyView.
Invertebrates are the classic neuroscience models and should make a comeback. Invertebrate organisms can be a more ethical and cost‐effective way to move bioelectronics research forward more rapidly. ABSTRACT The accelerating development of bioelectronic neural interfaces has brought increased attention to ethical considerations surrounding in vivo ...
Eric Daniel Głowacki
wiley   +1 more source

Physics‐Based Compact Modeling of Advanced 3D Nanoscale Vertical NAND Flash Memory

open access: yesAdvanced Electronic Materials, EarlyView.
For advanced 3D NAND flash memory, a unified compact model for SPICE is proposed that spans from the intrinsic unit cell to the full string and captures the electrostatic coupling with adjacent inhibit strings. It can successfully predict read behavior, program/erase dynamics, and interactions between neighboring cells, reflecting array‐level behavior ...
Ilho Myeong, Seonho Shin, Ickhyun Song
wiley   +1 more source

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

open access: yesAdvanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun   +5 more
wiley   +1 more source

Peer-to-Peer Lending – A (Financial Stability) Risk Perspective [PDF]

open access: yesReview of Economics, 2017
Abstract The aim of this survey article is to discuss P2P lending, a subcategory of crowdfunding, from a (financial stability) risk perspective. The discussion focuses on a number of dimensions such as the role of soft information, herding, platform default risk, liquidity risk, and the institutionalization of P2P markets.
openaire   +3 more sources

The Business Models and Economics of Peer-to-Peer lending. ECRI Research Report No 17, May 2016 [PDF]

open access: yes, 2016
This paper reviews peer-to-peer (P2P) lending, its development in the UK and other countries, and assesses the business and economic policy issues surrounding this new form of intermediation.
Parboteeah, Paul, Milne, Alistair
core  

ANALISIS PEER TO PEER LENDING DI INDONESIA

open access: yes, 2020
Problems arising from the development of fintech include data security and legal certainty of online-based loans so that it impacts on potential risks to consumers and financial stability and integrity.
Risna Kartika
core   +2 more sources

Mechanisms of Alkali Ionic Transport in Amorphous Oxyhalides Solid State Conductors

open access: yesAdvanced Energy Materials, EarlyView.
Large‐scale machine learning‐based molecular dynamics simulations are used to investigate isovalent amorphous oxyhalides, revealing a remarkable chemically independent ionic conductivity. A rigorous analysis of alkali residence times across different metal–anion environments identifies divalent anions as key diffusion bottlenecks.
Luca Binci   +3 more
wiley   +1 more source

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