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Forecasting bankruptcy and physical default intensity

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  • Zhou, Ping

Abstract

This report presents two of our investigations: one is to obtain an accurate forecast for the corporate bankruptcy; the other is to obtain a physical default intensity. Both investigations were based on the hazard model, using only firm-specific accounting variables as predictors. Different methods, such as the list-wise deleting, closest- value imputation and multiple imputation, were applied to tackling the problem of missing values. Our empirical studies showed that the multiple imputation performed the best amongst these methods and led to a forecasting model with economically reasonable predictors and corresponding estimates.

Suggested Citation

  • Zhou, Ping, 2007. "Forecasting bankruptcy and physical default intensity," LSE Research Online Documents on Economics 24434, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:24434
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    File URL: http://eprints.lse.ac.uk/24434/
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    References listed on IDEAS

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    Cited by:

    1. Anderson, Ronald W., 2008. "Some determinants of the price of default risk," LSE Research Online Documents on Economics 24435, London School of Economics and Political Science, LSE Library.

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    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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