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Distance to Default Estimates for Romanian Listed Companies
Distance to Default Estimates for Romanian Listed Companies

Author(s): Alina Sima-Grigore, Alin Sima
Subject(s): Economy, Financial Markets
Published by: EDITURA ASE
Keywords: structural models; state space models; Markov Chain Monte Carlo methods; probability of default;

Summary/Abstract: This paper assesses the evolution of the distance to default during the recent crisis for some of the most traded companies on Bucharest Stock Exchange.The distance to default is formulated under the framework of the structural model of Leland (1994b) where the default threshold is endogenously determined. This model is reformulated as a (non-linear) state - space model where the (unobservable) state variable is the distance to default. After reviewing different methods proposed in the literature for estimation of the structural models, we estimate the model's parameters within the Bayesian approach with Markov Chain Monte Carlo (MCMC) methods.

  • Issue Year: 3/2011
  • Issue No: 2
  • Page Range: 95-110
  • Page Count: 16
  • Language: English
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