Contagious loan default

TL;DR: In this paper , the authors used an Extreme Logistic Regression algorithm with novel credal sets and K-Nearest Neighbors algorithm to predict car loan default from banks while clients are facing significant challenges.

TL;DR: A systematic literature review of 52 papers on the determinants of non-performing loans published for 2006-2022 in peer-reviewed journals was conducted in this paper . But the authors highlighted that the way borrower profiles, banks-specific factors and macroeconomic factors interact to influence NPL still needs more understanding.

TL;DR: In this article , a systematic literature review of 52 papers on the determinants of non-performing loans published for 2006-2022 in peer-reviewed journals is conducted, which highlights the way borrower profiles, banks-specific factors and macroeconomic factors interact to influence NPL still needs more understanding.

TL;DR: Sure, here is the TLDR: The impact of conventional and unconventional monetary policies on loan default risk in the UK P2P lending market is negative.

TL;DR: In this paper, the authors argue that hazard models are more appropriate for forecasting bankruptcy than the single-period models used previously, and they propose a model that uses a combination of accounting ratios and market-driven variables to produce more accurate out-of-sample forecasts than alternative models.

TL;DR: This article developed a model of word-of-mouth diffusion and applied it to data on social networks and participation in a newly available micro-finance loan program in 43 Indian villages to study the impact of the choice of injection points in the diffusion of a new product in a society.

TL;DR: In this article, the authors explore the hypothesis that investors spread information and ideas about stocks to one another directly, through word-of-mouth communication, and show that this pattern shows up even when the fund manager and the stock in question are located far apart, so it is distinct from anything having to do with local preference.

TL;DR: In this article, the author's version of a work that was accepted for publication in World Development has been published, but changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document.