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新常态下商业银行风险管理的对策思考 被引量:2

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摘要 新常态下,国内经济增速变化、结构优化和动力转化,给商业银行经营管理带来新的冲击,特别对商业银行的风险管理带来新的挑战。商业银行必须针对新常态下风险管理的新特点,牢固树立全面风险管理理念,进一步强化各类风险管控,提升发展质量,夯实管理基础。
出处 《现代金融》 2015年第10期9-10,共2页 Contemporary Finance
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  • 1周小川.《牢牢守住不发生系统性金融风险底线》,http://finanee.sina.corn.cn/china/20150702/185722575158.shtml.
  • 2Betz, F., Oprica, S., Peltonen, T.A. and Sar- lin, P., Predicting distress in European banks. Journal Of Banking & Finance, Vol.45, No.8,2014.
  • 3Chiaramonte, L., Should we trust the Z-score? Evidence from the European banking industry. Global Finance Journal, Vol. 11, No.2,2015.
  • 4Erdal, H.I. and Ekinci, A., A comparison of various artificial intelligence methods in the prediction of bank failures. Computational Economics, Vol.42, No.2,2013.
  • 5Frlix, J., Iturriaga, L. and Sanz, I.P., Bank- ruptcy visualization and prediction using neural net- works : A study of U.S. commercial banks. Expert Sys- tems With Applications, Vol.42, No.4,2015.
  • 6Kolari, J., Glennon, D., Shin, H. and Caputo, M., Predicting large US commercial bank failures. Jour- nal Of Economics And Business, Vol. 147, No.4,2002.
  • 7Martin, D., Early warning of bank failure : A logit regression approach. Journal Of Banking And Fi- nance, Vol.1, No.11,1977. Meyer, P.A. and Pifer, H.W., Prediction of.bank failures. Journal Of Finance, Vol.25, No.4, 1970.
  • 8Olmeda, I. and Fernandez, E., Hybrid classiers for financial muhicriteria decision making : The case of bankruptcy prediction. Computational Economics, Vol.10, No.4,1997.
  • 9Raymond, A.K., Cox, G.W. and Wang, Y., Predicting the US bank failure: A discriminant analy- sis. Economic Analysis And Policy, Vol.44, No.7,2014.
  • 10A decision upporting fi- banking industry. Soft Computing, Vol. 19, No.4,2015.

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