TY - JOUR
T1 - Bankruptcy predictions for U.S. air carrier operations
T2 - a study of financial data
AU - Lu, Chiuling
AU - Yang, Ann Shawing
AU - Huang, Jui Feng
PY - 2015/7/8
Y1 - 2015/7/8
N2 - 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.
AB - 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.
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U2 - 10.1007/s12197-014-9282-6
DO - 10.1007/s12197-014-9282-6
M3 - Article
AN - SCOPUS:84930477332
VL - 39
SP - 574
EP - 589
JO - Journal of Economics and Finance
JF - Journal of Economics and Finance
SN - 1055-0925
IS - 3
ER -