This paper suggests a new agenda for constructing early warning models (EWMs) to
enhance their effectiveness in predicting financial crises. The central argument of the new …

This paper is a survey on the application of artificial neural networks in forecasting financial
market prices. The objective of this paper is to appraise the potential of using artificial neural …

This paper presents first steps towards robust models for crisis prediction. We conduct a
horse race of conventional statistical methods and more recent machine learning methods …

Recent episodes of financial crisis have revived interest in developing models able to signal
their occurrence in timely manner. The literature has developed both parametric and non …

Artificial neural network (ANN) approach, the application of artificial intelligence, which has
been improved by the simulation of cognitive learning process of human brain, has been …

Prediction of economic crisis, financial distress or bankruptcy has attracted great deal of
attention in financial literature and in many other fields among the researchers over the past …

Developments in the economic environment in the 2000s have become increasingly
dynamic and complex. Rapid developments in this kind of economic environment threaten …

Throughout the 1990s, four global waves of financial turmoil occurred. The beginning of the
21st century has also suffered from several crisis episodes, including the severe sub prime …

This paper analyzes the predictability of emerging market currency crises by comparing the
often used probit model to a new method, namely a multi-layer perceptron artificial neural …

We analyze financial time series based on topological data analysis to obtain the critical
information around 2008 global financial crisis and 2010 European debt crisis. We build an …