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La Predicción de la Insolvencia de Empresas Chilenas

  • Felipe Zurita

    ()

    (Instituto de Economía. Pontificia Universidad Católica de Chile.)

Este trabajo compara modelos de inestabilidad financiera de naturaleza estadística y basados en la teoría de opciones, para el conjunto de sociedades anónimas abiertas chilenas. Los modelos estadísticos tienen un ajuste adecuado, aunque la peculiar historia de las quiebras en el período considerado, a saber, su aglomeración al inicio, pone en duda su utilidad como herramienta predictiva. En el segundo caso, en cambio, el promedio de probabilidades de quiebra muestra una alta correlación con indicadores de riesgo bancarios, y los precede hasta en tres trimestres. En suma, este primer esfuerzo de medición es de un éxito moderado, pero señala una serie de caminos cuya exploración aparece promisoria.

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Paper provided by Instituto de Economia. Pontificia Universidad Católica de Chile. in its series Documentos de Trabajo with number 336.

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Date of creation: 2008
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Handle: RePEc:ioe:doctra:336
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  1. Darrell Duffie & Leandro Siata & Ke Wang, 2006. "Multi-Period Corporate Default Prediction With Stochastic Covariates," NBER Working Papers 11962, National Bureau of Economic Research, Inc.
  2. Ke Wang & Darrell Duffie, 2004. "Multi-Period Corporate Failure Prediction With Stochastic Covariates," Econometric Society 2004 Far Eastern Meetings 745, Econometric Society.
  3. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-70, May.
  4. Sanjiv Das & Darrell Duffie & Nikunj Kapadia & Leandro Saita, 2006. "Common Failings: How Corporate Defaults are Correlated," NBER Working Papers 11961, National Bureau of Economic Research, Inc.
  5. Cheng Hsiao & M. Hashem Pesaran, 2004. "Random Coefficient Panel Data Models," IEPR Working Papers 04.2, Institute of Economic Policy Research (IEPR).
  6. William W. Gould & Jeffrey Pitblado & Brian Poi, 2010. "Maximum Likelihood Estimation with Stata," Stata Press books, StataCorp LP, edition 4, number ml4, November.
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