Title :
Crisis Modeler: A Tool for Exploring Crisis Predictions
Author :
Markus Holopainen;Peter Sarlin
Author_Institution :
RiskLab Finland, Arcada Univ. of Appl. Sci., Helsinki, Finland
Abstract :
This paper presents CrisisModeler as a tool for exploring financial crisis predictions. Despite wide interest in crisis prediction, little attention has been given to generalizable modeling solutions, real-time implementations, thorough comparisons among methods and interactive interfaces to explore models and their output. CrisisModeler combines many approaches used in predicting financial crises within a fullyfledged framework for modeling and evaluation, and provides an implementation of a general-purpose tool with a web-based interactive interface to explore model output. We present the underlying framework behind CrisisModeler and illustrate the use of it with a case study on European banks, including a horse race of methods and investigations of different specifications. The case study illustrates the versatility and suitability of the tool for supporting exploration and communication of models for crisis prediction.
Keywords :
"Predictive models","Computational modeling","Biological system modeling","Data models","Europe","Banking","Estimation"
Conference_Titel :
Computational Intelligence, 2015 IEEE Symposium Series on
Print_ISBN :
978-1-4799-7560-0
DOI :
10.1109/SSCI.2015.135