Presenting a New Bankruptcy Prediction Model Based on Adjusted Financial Ratios According to the General Price Index

Subject Areas : Financial Accounting

Naimeh Jebelli ¹ , Iman Dadashi ² , Mohammad Javad Zare Bahnamiri ³

1 - Department of Accounting, Babol Branch, Islamic Azad University, Babol, Iran
2 - Department of Accounting, Babol Branch, Islamic Azad University, Babol, Iran
3 - Department of Accounting, Faculty of Economics and Management,University of Qom, Qom, Iran

Received: 2019-12-08 Accepted : 2020-08-24 Published : 2021-10-01

Keywords:

References:

[1] Altman, E.I., Financial ratios, discriminant analysis and the prediction of corporate bankruptcy, Journal of Finance, 1968, 23(4), P. 589- 609. Doi:org/10.1111/j.1540-6261.1968.tb00843.x

 

[2] Altman, E.I., Haldeman, R.G., Narayanan, p., ZETA analysis: a new model to identify bankruptcy risk of corporations, Journal of Banking and Finance, 1977, 1(1), P. 29- 54. Doi:org/10.1016/0378-4266(77)90017-6.

 

[3] Beaver, W., Financial Ratios as Predictors of Failures, In Empirical Research in Accounting, selected studies supplement to the Journal of Accounting research 4, 1966, P. 71- 111.

 

[4] Beaver, W.H., Kennelly, J.W., Predictive Ability as a Criterion for the Evaluation of Accounting Data, The Accounting Review, 1968, P. 675.

 

[5] Buggakupta, S., The Development of Thai DA Model in Predicting Fallure of Thai listed Companies, Thai. J. Index, 2003, 22(1), P. 9- 10.

 

[6] Campbell, J.Y., Hilscher, J., Szilagyi, J., IN search of distress risk, The Journal of Finance, 2008, 63 (6), P. 2899- 2939. Doi:org/10.1111/j.1540-6261.2008.01416.x

 

[7] Christidis, A., Gregory, A., Some new models for Financial distress prediction in the UK, Xfi-Centre for Finance and Investment Discussion, 2010, P. 10. DOI: 10.2139/ssrn.1687166.

 

[8] Charalambakis, E., Espenlaub, S., Garrett, I., On the Of Prediction Financial Distress for UK Firms: Does the Choice of Accounting and Market Information Matter, the University of Manchester, 2009.

 

[9] Cook, H., The relationship between Earnings Changes and Balance Sheet Composition, M.Sc, 2005, (in Persian)

 

[10] Dastgir, M., Zafari, F., The Role of Accounting Information in Forecasting Stock Returns, Journal of Stock Exchange, 1388, 85, P. 48- 55, (in Persian)

 

[11] Davoodi, A., Dadashi, I., Stock price prediction using theChaid rule-based algorithm and particle swarm optimization, Advances in Mathematical Finance and Applications, 2020, 5(2), P. 197-213.Doi: 10.22034/amfa.2019.585043.1184

 

[12]Davoodi, A., Dadashi, I., Azinfar, K., Stock price analysis using machine learning method(Non-sensory-parametric backup regression algorithm in lin-ear and nonlinear mode), Advances in Mathematical Finance and Applications, 2020, Doi: 10.22034/amfa.2019.1869838.1232

 

[13] Deakin, E.B., A discriminant analysis of predictors of Business failure, Journal of Accounting Reaserch, 1972, 10, P. 167- 179. Doi:10.2307/2490225.

 

[14] Delen, D., Kuzey, C., Uyar, A., Measuring firm performance using financial ratios: A decision tree approach, Expert systems with application, 2013, 40, P. 3970- 3985. Doi:org/10.1016/j.eswa.2013.01.012.

 

[15] Dibachi, H., Behzadi, M.H., Izadikhah, M., Stochastic multiplicative DEA model for measuring the efficiency and ranking of DMUs under VRS technology, Indian Journal of Science and Technology, 2014, 7 (11), P. 1765–1773. Doi: 10.17485/ijst/2014/v7i11.19

[16] Dibachi, H., Behzadi, M.H., Izadikhah, M., Stochastic Modified MAJ Model for Measuring the Efficiency and Ranking of DMUs, Indian Journal of Science and Technology, 2015, 8(8), P. 1-7, Doi: 10.17485/ijst/2015/v8iS8/71505

[17] Efron, B., Hstie, T., Johnstone. I., Tibshirani, R., Least Angle Regresion. The Annals of Statistics, 2004, 32(2), P. 407- 499.

 

[18] Farajzadeh Dehkordi, H., Application of Genetic Algorithm in Bankruptcy Prediction, M.Sc., Tarbiat Modarres University, 2007, (in Persian)

 

[19] Fulmer , J.G., et al., A Bankruptcy Classification Model for Small Firms, Journal of commercial Bank Lending, 1984, P. 25- 37.

 

[20] Grice, J, Ingram, R, Tests of the generalizability of Altman’s Bankruptcy prediction model, Journal of Business Research, 2001, 54(13), P. 53 -61. doi:org/10.1016/S0148-2963(00)00126-0.

 

[21] Hui, X., Sun, J., An application of support vector machine to companies financial distress prediction, Lect. Notes Artif Intell, 2006, 5, P. 274-282.

 

[22] Jae, K., Predictiting financial distress of the South Korean Manufacturing industries, Expert Systems with Applications, 2012, 39, P. 9159-9165. Doi: 10.1016/j.eswa.2012.02.058.

 

[23] Kamijani, A., Saadatfar, J. Application of Neural Network Models in Predicting Economic Bankruptcy of Stock Exchange Companies, Economic Research Quarterly, 2006, 6(6), (in Persian)

 

[24] Khanqah Barzegari, J., Jamali, Z., Predicting Stock Returns Using Financial Ratios, Journal of Accounting and Auditing Research, 2016, 6(2), no. 2, P. 71- 71. (in Persian)

 

[25] Kurdestani, G., Tatli, R., Assessing the Predictive Capacity of Bankruptcy Models, Quarterly Audit Knowledge, 2014, 14(55). (in Persian)

 

[25] Kouki, M., Elkhaldi, A., Toward a Predicting Model of Firm Bankruptcy, Evidence from the Tunisian Context. Middle Eastern Finance and Economics, 2011, 14. P. 26- 43.

 

[26] Lee, M., To, C., Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress, International Journal of Artificial Intelligence & Applications, 2010, 1(3). P. 31-43. Doi: 10.5121/ijaia.2010.1303

 

[26] Legault, J., C.A.- Score, A Warning System for Small Business Failures, Bilanas, 1987, P. 29- 31.

 

[27] Min , H.J, Lee , C.y., Bankruptcy prediction usingsupport vector machine with optimal choice of kernel function parameters, Expert Systems with Applications, 2005, 28, P. 603 -614. Doi:org/10.1016/j.eswa. 2004. 12.008.

 

[28] Mutchler, J., McKeown, J. & Hopwood, W., towards an explanation of auditor failure to modify the audit opinion of bankrupt companies, Auditing: A Journal of Practiceand Theory, 1991, 10, P. 1- 13.

 

[29] Odom, M., Sharda, R., A Neural Network Model for Bankruptcy Prediction, Proceedings of the IEEE International Conference on Neural Networks, 1990, 2, P. 163-168.Doi: 10.1109/IJCNN.1990.137710.

 

[30] Ohlson, J.A., Financial Ratios and the Probabilistic Prediction of Bankruptcy, Journal of Accounting Research, 1980, 18(1), P. 109- 131. Doi: 10.2307/2490395.

 [31] Pawełek, B., Baryła, M., Pociecha, J.,Study of the classification accuracy measures for predicting corporate bankruptcy taking into account changes in the economic environment, Argumenta Oeconomica, 2020, 1(44), P. 5-17. Doi:10.15611/aoe.2020.1.01

 

[32] Philosophov, L., Philosophov, V., Corporate Bankruptcyprognosis; An attempt at a combined prediction of the bankruptcy eventand time interval of its occurrence, International Review of Financial Analysis, 2002, 11(3). P. 375- 406. Doi:org/10.1016/S1057-5219(02)00081-9.

 

[33] Pirishe, R., Dadashi Arani, H., Presenting Mathematical Model of Bankruptcy Prediction, Journal of Financial Engineering and Securities Management, 2016, 31. (in Persian)

 

[34] Raei, R., Fallahpour, S., Predicting financial distress of companies using artificial neural networks, MSc in Financial Management, University of Tehran, 2004. (in Persian)

 

[35] Raei, R., Fallahpour, S., Application of Support Vector Machine in Predicting Corporate Financial Distress Using Financial Ratios, Journal of Accounting and Auditing Reviews, 2008, 15(53), P. 17- 34. (in Persian)

 

[36] Rezaei, N., Javaheri, M., The Predictability Power of Neural Network and Genetic Algo-rithm from Companies’ Financial Crisis Advances in Mathematical Finance and Applications, 2020, 5(2), P. 183-196.Doi: 10.22034/amfa.2019.1863963.1195

 

[37] Royaee R.A., Inflation Accounting and Accounting Development Seminar in Iran, Third Iranian Accounting Seminar, 1993, 9(56). (in Persian)

 

[38] Sadeghi, h. Rahimi, P. Barber, Y., The Impact of Macroeconomic Factors and Governance System on the Financial Crisis of Manufacturing Companies Listed in Tehran Stock Exchange, Monetary Economics Quarterly, 2014, 21, P. 107- 127. Doi: 10.22067/pm.v21i8.45860.(in Persian)

 

[39] Sheikh, M.J., Investigation of Average Industry Ratios in Listed Companies, M.Sc, University of Tehran, 1996. (in Persian)

 

[40] Shirata Cindy Y., Financial Ratios as Predictors of Bankruptcy in Japan: An Enprical Research.. Tsukuba College of Technology, 1987. Doi:10.1.1.195.2721.

 

[41] Shin, k.s et al, An application of support vactor machines in bankruptcy prediction model, Expert Systems with Applications, 2005, 28, P. 127- 135. Doi:org/10.1016/j.eswa.2004.08.009.

 

[42] Shumway, T., Forecasting bankruptcy more accurately: A simple hazard model, The Journal of Business, 2001, 74(1), P. 101- 124. Doi: 10.1086/209665.

 

[43] Springate, L., Gord, V., Predicting the possibility of failure in a Canadian firm, Unpublished M.B.A Research Project, Simon Fraser university, 1987.

 

[44] Tamari, M., Financial ratios as a means of forecasting bankruptcy, Management International Review, 1996, 6(4), P. 15-21. https://www.jstor.org/stable/i40008079

 

[45] Tinoco Hernandez , M., & Wilson, N., Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables, International Review of Financial Analysis, 2013, 30, P. 394- 419. Doi:org/10.1016/j.irfa.2013.02.013.

 

[46] Titterington, D., Comparison Of Discrimination Techniques Applied to a Complex Data-set of Head-Injured Patients (with discussion), Journal of the Royal Statistical Society; 1981, P. 145- 175. Doi: 10.2307/2981918.

 

[47] Tone, K., Toloo, M., Izadikhah, M., A modified slacks-based measure of efficiency in data envelopment analysis, European Journal of Operational Research, 2020, 287 (2), P. 560-571, Doi: 10.1016/j.ejor.2020.04.019.

[48] Wallace W.A., Risk Assessment by Internal Auditors Using Past Research on Bankruptcy Applying Bankruptcy Models, Working paper, University of Florida, 2004.

 

[49] Xie, C., Luo, C., & Yu, X., Fainancial distress prediction based on SVM and MDA methods:the case of Chinese listed companies, Qual Quant, 2011, 45, P. 671-686. Doi: 10.1007/s11135-010-9376-y.

 

[50] Zand Raisi, A., Financial Statements in Inflation. the world of economy, 2012, 2561. (in Persian)

 

[51] Zavgren, C.V., Assessing the Vulnerability to Failure of American Industrial Firms: A Logistic Analysis. Journal of Business Finance and Accounting, 1985, 12. P. 19- 45. Doi:org/10.1111/j.1468-5957.1985.tb00077.x

 

[52] Zmijewski, M.E., Methodological Issues Related to the Estimation of Financial Distress prediction Models, Journal of Accounting Research, 1984, 22, P. 59-82. Doi: 10.2307/2490859.