Financial Crises and Bank Failures: A Review of Prediction Methods

293 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Predicting Distress in European Banks (2014, background): “A comprehensive survey is provided by Demyanyk and Hasan (2010), who review the empirical results obtained in several economics, finance and operations research papers that attempt to explain or predict financial crises or bank defaults.”
Forecasting intraday time series with multiple seasonal cycles using parsimonious seasonal exponential smoothing (2009, background): “Artificial neural networks Artificial neural networks (ANNs) are predictive models with nonlinear structures based on an imitation of biological neurons [24].”