Results 221 to 230 of about 1,246,337 (384)
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
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
Stochastic Volatility Models with Skewness Selection. [PDF]
Martins I, Freitas Lopes H.
europepmc +1 more source
Maximum likelihood estimation for stochastic volatility in mean models with heavy-tailed distributions. [PDF]
Abanto-Valle CA+3 more
europepmc +1 more source
Gaussian semiparametric estimation in long memory in stochastic volatility and signal plus noise models [PDF]
Josu Arteche
openalex +1 more source
Systemic Credit Risk Premium: Insights From Credit Derivatives Markets
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
Impact of capital market volatility on economic growth - An analysis based on stochastic volatility model. [PDF]
Chang M, Li Y.
europepmc +1 more source
Bayesian Monte Carlo Filtering for Stochastic Volatility Models [PDF]
Roberto Casarin
openalex +1 more source
A Learning Model with Memory in the Financial Markets
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
Bayesian Inference for Generalised Markov Switching Stochastic Volatility Models [PDF]
Roberto Casarin
openalex +1 more source