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Chronicle of a death foretold: does higher volatility anticipate corporate default?

Author

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  • Ampudia, Miguel

    (Bank for International Settlements)

  • Busetto, Filippo

    (Bank of England)

  • Fornari, Fabio

    (Bank of England)

Abstract

We test whether a simple measure of corporate insolvency based on equity return volatility – and denoted as Distance to Insolvency (DI) – delivers better predictions of corporate default than the widely-used Expected Default Frequency (EDF) measure computed by Moody’s. We look at the predictive power that current DIs and EDFs have for future defaults, both at a firm-level and at an aggregate level. At the granular level, both DIs and EDFs anticipate corporate defaults, but the DI contains information over and above the EDF, especially at longer forecasting horizons. At an aggregate level the DI shows superior forecasting power compared to the EDF, for horizons between three and twelve months. We illustrate the predictive power of the DI measure by examining how corporate defaults would have evolved during Covid-19 had the ECB not implemented the pandemic emergency purchase programme (PEPP).

Suggested Citation

  • Ampudia, Miguel & Busetto, Filippo & Fornari, Fabio, 2022. "Chronicle of a death foretold: does higher volatility anticipate corporate default?," Bank of England working papers 1001, Bank of England.
  • Handle: RePEc:boe:boeewp:1001
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    References listed on IDEAS

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    More about this item

    Keywords

    Default probability; equity volatility; Distance to Insolvency; Expected Default Frequency;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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