Corporate Financial Distress: Analysis of Indian Automobile Industry
Agarwal, V., & Taffler, R. (2008). Comparing the performance of market-based and accounting-based bankruptcy prediction models. Journal of Banking & Finance, 32(8), 1541–1551.
Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, 23(4), 589–609. http://doi.org/10.2307/2978933
Altman, E. I. (I983) Corporate Financial Distress. A Complete Guide to Predicting, Avoiding, and Dealing with Bankruptcy. John Wiley & Sons, New York.
Altman, E. I., Iwanicz-Drozdowska, M., Laitinen, E. K., & Suvas, A. (2016). Financial distress prediction in an international context: a review and empirical analysis of altman’s Z-score model. Journal of International Financial Management & Accounting. Retrieved from http://onlinelibrary.wiley.com/doi/10.1111/jifm.12053/full
Beaver, W. H. (1966). Financial ratios as predictors of failure. Journal of Accounting Research, 71–111.
Bulow, J. I., & Shoven, J. B. (1978). The bankruptcy decision. The Bell Journal of Economics, 437–456.
Celli, M. (2015). Can Z-Score Model Predict Listed Companies’ Failures in Italy? An Empirical Test. International Journal of Business and Management, 10(3), 57.
Chava, S., & Jarrow, R. A. (2004). Bankruptcy prediction with industry effects. Review of Finance, 8(4), 537–569.
Chen, H. J., Kacperczyk, M., & Ortiz-Molina, H. (2012). Do nonfinancial stakeholders affect the pricing of risky debt? Evidence from unionized workers. Review of Finance, 16(2), 347–383.
Dawkins, M. C., Bhattacharya, N., & Bamber, L. S. (2007). Systematic share price fluctuations after bankruptcy filings and the investors who drive them. Journal of Financial and Quantitative Analysis, 42(2), 399–419.
Fich, E. M., & Slezak, S. L. (2008). Can corporate governance save distressed firms from bankruptcy? An empirical analysis. Review of Quantitative Finance and Accounting, 30(2), 225–251.
Gilson, S. C. (1989). Management turnover and financial distress. Journal of Financial Economics, 25(2), 241–262.
Grice, J. S., & Ingram, R. W. (2001). Tests of the generalizability of Altman’s bankruptcy prediction model. Journal of Business Research, 54(1), 53–61.
John, T. A. (1993). Accounting measures of corporate liquidity, leverage, and costs of financial distress. Financial Management, 91–100.
Kahya, E., & Theodossiou, P. (1999). Predicting corporate financial distress: A time-series CUSUM methodology. Review of Quantitative Finance and Accounting, 13(4), 323–345.
Kwak, W., Shi, Y., Cheh, J. J., & Lee, H. (2005). Multiple criteria linear programming data mining approach: An application for bankruptcy prediction. In Data Mining and Knowledge Management (pp. 164–173). Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-3-540-30537-8_18 Li,
W. G. (2014). Corporate Financial Distress and Bankruptcy Prediction in the North American Construction Industry. Retrieved from http://econ.duke.edu/uploads/media_items/ganglidjepaper.original.pdf Moyer, R. C. (1977). Forecasting financial failure: a re-examination. Financial Management, 6(1), 11.
Opler, T. C., & Titman, S. (1994). Financial distress and corporate performance. The Journal of Finance, 49(3), 1015–1040.
Platt H. D. & Platt M. B. (2002). Predicting corporate financial distress: reflections on choice-based sample bias. Journal of Economics and Finance, 26(2), 184–199.
Ray, S. (2011). Assessing corporate financial distress in automobile industry of India: An application of Altman’s model. Research Journal of Finance and Accounting, 2(3), 155–168.
Shen, C.-H., Chen, Y. K., & Huang, B. Y. (2010). The prediction of default with outliers: Robust logistic regression. In Handbook of Quantitative Finance and Risk Management (pp. 965–977). Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-0-387-77117-5_62
Singhal, R., & Zhu, Y. E. (2013). Bankruptcy risk, costs and corporate diversification. Journal of Banking & Finance, 37(5), 1475–1489. Retrieved From: https://doi.org/10.1016/j.jbankfin.2011.11.019
Trieschmann, J. S., & Pinches, G. E. (1973). A multivariate model for predicting financially distressed PL insurers. Journal of Risk and Insurance, 327–338. Retrieved From:
- There are currently no refbacks.