طراحی سیستم هشدار سریع جهت پیش بینی زمان در معرض ورشکستگی قرار گرفتن بانک‌ها

1. احمدیان، اعظم (1393)، پایگاه داده‌ای شاخص‌های سلامت شبکه بانکی کشور. پژوهشکده پولی و بانکی.

2. صورت مالی بانک‌های کشور، مؤسسه عالی بانکداری ایران(1380-1393).

1. Abiola A, Babajide,. Felicia O, Olokoyo, and Folasade B, Adegboye,. (2015). Predicting bank failure in Nigeria using Survival Analysis Approach. Journal of South African Business Research, 2015(2015), 1-17.

2. Almanidis, P., and Sickles, R,. (2012). Banking crises, early warning models, and efficiency. Economics Department of Economics Rice University, Texas .

3. Anderson, H. (2008). Failure prediction of Norwegian banks: A Logit Approach. Norwegian: Financial Market Department of Norges Bank.

4. Bartels, B. (2006). Advances in duration modeling: the Ohio state university department of political science. The Ohio State University Department of Political Science: The Political Research Lab Statistics Corner Archive.

5. Betz, F,. Oprica, S,. Peltonen, T. A., and Sarlin, P,. (2013). Predecting distress in European banks. European Central Bank: WP: 1597.

6. Cole, R,. and Wu, Q,. (2010). Is Hazard or Probit more accurate in predicting financial distress? Evidence from U. S. bank failures. MPRA : 24688.

7. Cole, R. A., and Gunther, J.W. (1995). Separating the Likelihood ans timing of bank failure. Journal of Banking & Finance, 19(6), 1073-1089.

8. Cox, D. R. (1972). Regression models and Life-Tables. Journal of Royal Statistical Society, 34(2), 187-220.

9. Hanweck, G. A. (1977). Predicting bank failure. Board of Governors of the Federal Reserve System: Research Paper in Banking and Financial Economics, Financial Studies Section, Devision of Research and Statistics.

10. Lane, W.R., S.W. Looney and J.W. Wansley,.1986.An application of the Cox proportional Hazards Model to bank failure, Journal of Banking and Finance, 1986, pp. 511-531.

11. Li, Xiaofei,. Escalante, Cesar L,. Epperson, James E. (2014),. Agricultural banking and bank failures of the Late 2000s financial crisis: A Survival analysis using Cox proportional Hazard Model. Southern Agricultural Economics Association (SAEA) Annual Meeting, Dallas, Texas, 1-4 February 2014.

12. Jactiani, J., Kolari, J., Lemieux, C., Shin, H., (2003). Early warning models for bank supervision: Simpler could be better. Federal Reserve Bank of Chicago Economic Perspectives. 27, 49-60.

13. Kauffman, R. J., and Wang, B. (2001). New buyers arrival under dynamic pricing market microstructure: The Case of Group-Buying Discounts of the Internet. Journal of Management Information Systems, 18(2).

14. Okezie, A. C. (2011). Capital ratio as predictors of distress: A Case study of The Nigerian banking system. Global Journal of Human Social Science, 11(3).

15. Sales, A. S., Eduarda, M,. (2007). Explaining bank failures in Brazil: Micro, Macro and Contagion effects (1994-1998). Brazil: Central Bank of Brazil, WP:147.

16. Wheelock DC and PW Wilson (1995). Explaining bank failures: Deposit Insurance, Regulation, and Efficiency. Review of Economics and Statistics, 77(4): 689-700.