بررسی توانایی شاخص های حسابداری و غیرحسابداری مؤثر بر پیش‌بینی درماندگی مالی و مقایسه روشهای پارامتریک و ناپارامتریک

Alizadeh, S. & Malek Mohamadi, S. (2012). Data mining & knowledge discovery. Tehran. Khajeh nasir toosi university of technology. (in Persian)

Bredart, X. (2014). Financial Distress and Corporate Governance around Lehman Brothers Bankruptcy. International Business Research, 7 (5): 1-8

Chen, M. Y. (2011). Predicting corporate financial distress based on integration of decision tree classification and logistic regression. Expert Systems with Applications, 38 (9): 11261-11272.

Chi, X. , Lou, C. , & Yu, X. (2011). Financial distress prediction based on SVM and MDA methods: the case of Chinese listed companies. Quality and Quantity, 45 (3): 671-686

Esmaeilzadeh Mogheri, A. & Shakeri, H. (2015). Financial distress prediction of companies accepted in Tehran stock exchange with using of naiva bayesian network and its comparison with data envelopment analysis. Financial Engineering and Securities Management. 6 (22): 1–27. (in Persian)

Etemadi, H. , Anvari Rostamy, A. A. , & Dehkordi, H. F. (2009). A genetic programming model for bankruptcy prediction: empirical evidence from Iran. Expert Systems with Applications, 36 (2) , 3199–3207.

Gestel, T. V. , Baesens, B. , Suykens, J. , Poel, D. V. , Baestaens, D. E. , & Willekens, M. (2006). Bayesian Kernel Based Classification For Financial Distress Detection. European Journal Of Operational Research, 172, 979 – 1003.

Hu, H. , & Sathye, M. (2015). Predicting Financial Distress in the Hong Kong Growth Enterprises Market from the Perspective of Financial Sustainability. Sustainability, 7, 1186-1200.

Jantadej, P. (2006). Using the combinations of cash flow components to predict financial distress. (Unpublished doctoral dissertation). The graduate college at the university of Nebraska , USA.

Khalifeh soltani, S. A. & Esmaili, F. (2014). Business Cycle and Stability of Bankruptcy Prediction Models. Journal of Empirical Research in Accounting, 4 (13): 1–22. (in Persian)

Kubíčková, D. & Nulíček, V. (2016). Predictors of Financial Distress and Bankruptcy Model Construction. International Journal of Management Science and Business Administration, 2 (6): 34-42.

Lee, M. (2015). Comparision of Wavelet Network and Logistics Regression in Predicting Enterprise Financial Distress. International Journal of Computer Science & Information Technology (IJCSIT) , 7 (3): 83-96.

Liu, Z. J. & Wang, Y. S. (2016). Corporate failure prediction models for advanced research in china: identifying the optimal cut off point. Asian Economic and Financial Review, 6 (1): 54-65.

Mansourfar, Gh. Ghayour, F. & Lotfi, B. (2015). The Ability of Support Vector Machine (SVM) in Financial Distress Prediction. Journal of Empirical Research in Accounting, 5 (1): 177-195. (in Persian)

Mohseni, R. Agha babee, R. & Mohammad Ghorbani, V. (2013). Financial Distress Prediction with the Use of the Efficiency as a Predictor Variable. Quarterly Journal of Economic Research and Policies, 21 (65): 123-146. (in Persian)

Mokhatab Rafiei, F. , Manzari, S. M. , & Bostanian, S. (2011). Financial health prediction models using artificial neural networks, genetic algorithm and multivariate discriminant analysis: Iranian evidence. Expert Systems with Applications, 38 (8): 10210–10217.

Moradi, M. Shafiee Sardasht, M. & Ebrahimipour, M. (2012). Bankruptcy prediction by support vector machines and multiple discriminate analysis models. Quarterly Journal of Securities Exchange. 5 (18): 113-136. (in Persian)

Opler, T. , & Titman, S. (1994). Financial Distress and Corporate Performance. The Journal of Finance, 49 (3): 1015-1040

Raie, R. & Fallahpour, S. (2009). Support vector machines application in financial distress prediction of companies using financial Ratios. The Iranian Accounting and Auditing Review, 15 (4): 17-34. (in Persian)

Sadeghi, H. Rahimi, P. & Salmani, Y. (2014). The effect of macroeconomic and governance factors on financial distress in manufacture firms listed in Tehran stock exchange. Financial Monetary Economics. 21 (8): 107-127. (in Persian)

Shleifer, A. , & Vishny, R. W. (1997). A survey of corporate governance. Journal of Finance, 52 (2): 737–783

Xu, X. , & Wang, Y. (2009). Financial Failure Prediction Using Efficiency as a Predictor. Expert Systems With Applications, 36,366-373.

Zohra, K. F. , Mohamed, B. , Elhamoud, T. , Garaibeh, M. , Ilhem, A. , & Naimi, H. (2015). Using Financial Ratios to Predict Financial Distress of Jordanian Industrial Firms,''Empirical Study Using Logistic Regression''. Academic Journal of Interdisciplinary Studies, 4 (2): 137-142