Implied probabilities of default from Colombian money market spreads : the Merton Model under equity market informational constraints

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Borradores de Economía; No. 743

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2012-10-31

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2012-10-31

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spa
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Las opiniones contenidas en el presente documento son responsabilidad exclusiva de los autores y no comprometen al Banco de la República ni a su Junta Directiva.

The opinions contained in this document are the sole responsibility of the author and do not commit Banco de la República or its Board of Directors.

Abstract

Informational constraints may turn the Merton Model for corporate credit risk impractical. Applying this framework to the Colombian financial sector is limited to four stock-market-listed firms; more than a hundred banking and non-banking firms are not listed. Within the same framework, firms’ debt spread over the risk-free rate may be considered as the market value of the sold put option that makes risky debt trade below default-risk-free debt. In this sense, under some supplementary but reasonable assumptions, this paper uses money market spreads implicit in sell/buy backs to infer default probabilities for local financial firms. Results comprise a richer set of (38) banking and non-banking firms. As expected, default probabilities are non-negligible, where the ratio of default-probability-to-leverage is lower for firms with access to lender-of-last-resort facilities. The approach is valuable since it allows for inferring forward-looking default probabilities in the absence of stock prices. Yet, two issues may limit the validity of results to serial and crosssection analysis: overvaluation of default probabilities due to (i) spreads containing non-credit risk factors, and (ii) systematic undervaluation of the firm’s value. However, cross-section assessments of default probabilities within a wider range of firms are vital for financial authorities’ decision making, and represent a major improvement in the implementation of the Merton Model in absence of equity market data.

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Esta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial 4.0.

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