Results 221 to 230 of about 1,246,337 (384)

Measuring the Default Risk of Small Business Loans: Improved Credit Risk Prediction Using Deep Learning

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper proposes a multilayer artificial neural network (ANN) method to predict the probability of default (PD) within a survival analysis framework. The ANN method captures hidden interconnections among covariates that influence PD, potentially leading to improved predictive performance compared to both logit and skewed logit models.
Yiannis Dendramis   +2 more
wiley   +1 more source

Understanding the Concepts of Smart E‐Nose Technology in Combination With Machine Learning for New Era of Food Safety: An Advanced Review

open access: yesFood Safety and Health, EarlyView.
E‐Nose technology enables rapid, accurate detection of volatile compounds using AI, PCA, and ANN for odor classification. Advancements in sensors and data algorithms enhance its role in food safety, healthcare, and environmental monitoring. Despite sensor challenges, ongoing innovation drives its growing importance in precise, noninvasive diagnostics ...
Poornima Singh   +5 more
wiley   +1 more source

Systemic Credit Risk Premium: Insights From Credit Derivatives Markets

open access: yesJournal of Futures Markets, EarlyView.
ABSTRACT This study examines the market‐implied premiums for bearing systemic credit risk by analyzing credit derivatives on the CDX North American Investment Grade portfolio from September 2005 to March 2021. We construct systemic credit risk premium (SCRP) as the difference between the observed prices of multiname super‐senior tranches and their ...
Kiwoong Byun, Baeho Kim, Dong Hwan Oh
wiley   +1 more source

A Learning Model with Memory in the Financial Markets

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT Learning is central to a financial agent's aspiration to gain persistent strategic advantage in asset value maximisation. The implicit mechanism that transforms this aspiration into an observed value gain is the speed of error corrections (demonstrating, an agent's speed of learning) whilst facing increased uncertainty.
Shikta Singh   +6 more
wiley   +1 more source

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