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文章基本信息

  • 标题:Distance to Default Estimates for Romanian Listed Companies
  • 本地全文:下载
  • 作者:Alina Sima (Grigore) ; Alin Sima
  • 期刊名称:Review of Finance and Banking
  • 印刷版ISSN:2067-2713
  • 电子版ISSN:2067-3825
  • 出版年度:2011
  • 卷号:3
  • 期号:2
  • 出版社:Bucharest Academy of Economic Studies
  • 摘要:

    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.

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