1Beckmann, Daniela, Lukas Menkhoff, Katja Sawischlewski. Robust Lessons about Practical Early Warning Systems [J]. Journal of Finance, 7(2006):56-60.
2Ciarlone, Alessio, and Giorgio Trebeschi. Designing an Early Warning System for Debt Crises [J]. Journal of Ac- counting Research, 9(2005) :109 - 114.
3Eckstein, Megan. Pension Shortfalls Put Pressure on Strained University Budgets [J]. Chronicle of Higher Educa- tion, 2(2009) :24-25.
4TIRAPAT S, NITFAYAGASETWAT A. An investiga- tion of the listed firms financial distress using macro and micro variables [ J ]. Multinational Finance Journal,1999,3(2) :103 - 125.
5ROSE R S, ANDREWS W T, GIROUS G A. Predicting business failure: a macroeconomic perspective [ J ]. Journal of Accounting, Auditing, and Finance, 1982,23(5) :20 -31.
6ALTMAN E I. Corporate financial distress: a complete guide to prediction, avoiding and dealing with bank- ruptcy [ M ]. New York : Wiley, 1983:43 - 67.
7DARAYSEH M, WAPLES E, TSOUKALAS D. Corpo- rate failure for manufacturing industries using firms specifics and economic environment with logic analysis [ J ]. Managerial Finance, 2003,29 ( 8 ) :23 - 36.
8LIOU D K, MALCOLM S. Macroeconomic variables in the identification of financial distress [ M ]. New York : Cambridge University Press,2006:65 - 132.
9OHLSON J A. Financial ratios and the probabilistic prediction of bankruptcy [ J ]. Journal of Accounting Research, 1980,3 (1) : 109 - 131.
10NORMAN B. Use operating cash flow data to predict financial distress : some extensions [ J ]. Journal of Accounting Research, 1985,23 (1) :384 -401.