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A Framework For State Transitions On The Self‐Organizing Map: Some Temporal Financial Applications

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  • Peter Sarlin
  • Zhiyuan Yao
  • Tomas Eklund

Abstract

Self‐organizing maps (SOMs) have commonly been used in temporal applications. This paper enhances the SOM paradigm for temporal data by presenting a framework for computing, summarizing and visualizing transition probabilities on the SOM. The framework includes computing matrices of node‐to‐node and node‐to‐cluster transitions and summarizing maximum state transitions. The computations are linked to the SOM grid using transition‐plane visualizations. We demonstrate the usefulness of the framework on two SOM models for temporal financial analysis: financial performance comparison of banks and monitoring indicators of currency crises. Copyright © 2012 John Wiley & Sons, Ltd.

Suggested Citation

  • Peter Sarlin & Zhiyuan Yao & Tomas Eklund, 2012. "A Framework For State Transitions On The Self‐Organizing Map: Some Temporal Financial Applications," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(3), pages 189-203, July.
    • Handle: RePEc:wly:isacfm:v:19:y:2012:i:3:p:189-203
    DOI: 10.1002/isaf.1328
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    References listed on IDEAS

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    1. Sarlin, Peter & Peltonen, Tuomas A., 2013. "Mapping the state of financial stability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 46-76.
    2. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    3. repec:zbw:bofitp:2011_018 is not listed on IDEAS
    4. A. Berg & C. Pattillo, 1999. "What Caused the Asian Crises: An Early Warning System Approach," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 28(3), pages 285-334, November.
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