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Comparative Analysis of Corporate Distress Prediction Models: A Dynamic Performance Evaluation Framework

Author

Listed:
  • Mohammad Mahdi Mousavi

    (The University of Edinburgh Business School)

  • Jamal Ouenniche

    (The University of Edinburgh Business School)

Abstract

In practice, investors, portfolio managers, and regulators continuously assess and monitor the performance of corporations. Such assessment and monitoring exercise is typically performed using a variety of tools including prediction models of distress. With the enormous number of prediction models, a strand of literature has focused on comparing the performance of alternative distress prediction models. In this research, we explore dynamic modelling and prediction frameworks of corporate distress and propose new ones. A dynamic evaluation framework is also proposed to assess the relative performance of these dynamic models in predicting corporate distress using a sample of UK firms listed on the London Stock Exchange (LSE).

Suggested Citation

  • Mohammad Mahdi Mousavi & Jamal Ouenniche, 2016. "Comparative Analysis of Corporate Distress Prediction Models: A Dynamic Performance Evaluation Framework," Proceedings of International Academic Conferences 4006251, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:iacpro:4006251
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    File URL: https://iises.net/proceedings/24th-international-academic-conference-barcelona/table-of-content/detail?cid=40&iid=066&rid=6251
    File Function: First version, 2016
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    More about this item

    Keywords

    Distress Prediction Models; Dynamic Framework;

    JEL classification:

    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • G19 - Financial Economics - - General Financial Markets - - - Other

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