• DocumentCode
    3726582
  • 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
  • fYear
    2015
  • Firstpage
    917
  • Lastpage
    924
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, 2015 IEEE Symposium Series on
  • Print_ISBN
    978-1-4799-7560-0
  • Type

    conf

  • DOI
    10.1109/SSCI.2015.135
  • Filename
    7376710