Bankruptcy predictions for U.S. air carrier operations: a study of financial data

Chiuling Lu, Ann Shawing Yang, Jui Feng Huang

研究成果: Article同行評審

11 引文 斯高帕斯(Scopus)

摘要

We applied the binary quantile regression, a Bayesian quantile regression, and logit models to identify optimal bankruptcy prediction accuracy for U.S. air carriers for the period from 1990 to 2011. We used accuracy ratio and Brier scores as standards of comparison and a Bayesian binary quantile regression with optimal bankruptcy prediction accuracy for both healthy and bankrupt air carriers. Total assets positively and significantly influenced bankruptcy probability for air carriers. Operational variables consisted of quick assets to expenditures for operation, increase in sales, and working capital to assets; however, these variables negatively and significantly influenced air carriers’ bankruptcy probability.

原文English
頁(從 - 到)574-589
頁數16
期刊Journal of Economics and Finance
39
發行號3
DOIs
出版狀態Published - 2015 七月 8

All Science Journal Classification (ASJC) codes

  • 金融
  • 經濟學與計量經濟學

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