References
- Almamy, J., Aston, J., & Ngwa, L. N. (2016). An evaluation of Altman's Z-score using cash flow ratio to predict corporate failure amid the recent financial crisis: Evidence from the UK. Journal of Corporate Finance, 36, 278-285.
- Altman, E. I. (2002). Bankruptcy, credit risk, and high yield junk bonds: WileyBlackwell.
- Campbell, J. Y., Hilscher, J., & Szilagyi, J. (2008). In search of distress risk. The journal of Finance, 63(6), 2899-2939.
- Campello, M., Graham, J. R., & Harvey, C. R. (2010). The real effects of financial constraints: Evidence from a financial crisis. Journal of Financial Economics, 97(3), 470-487.
- Carcello, J. V., Hermanson, D. R., & Huss, H. F. (1995). Temporal changes in bankruptcy-related reporting. Auditing, 14(2), 133.
- Carmichael, D. R. (1972). The auditor's reporting obligation: the meaning and implementation of the fourth standard of reporting (Vol. 1): American Institute of Certified Public Accountants.
- Chen, Y., Weston, J. F., & Altman, E. I. (1995). Financial distress and restructuring models. Financial Management, 57-75.
- Chira, I., & Marciniak, M. (2014). Risk change during crises: How do purely local companies differ from cross-listed firms? Evidence from the European crisis of 2010-2012. Journal of Economics and Business, 74, 11-23.
- Dichev, I. D. (1998). Is the risk of bankruptcy a systematic risk? The Journal of Finance, 53(3), 1131-1147.
- Ferguson, M. F., & Shockley, R. L. (2003). Equilibrium
- Foster, G. (1978). Financial Statement Analysis, 2/e: Pearson Education India.
- Graham, J. R. (2000). How big are the tax benefits of debt? The journal of Finance, 55(5), 1901-1941.
- Grice, J. S., & Dugan, M. T. (2003). Re-estimations of the Zmijewski and Ohlson bankruptcy prediction models. Advances in Accounting, 20, 77-93.
- Griffin, J. M., & Lemmon, M. L. (2002). Book-to-market equity, distress risk, and stock returns. The journal of Finance, 57(5), 2317-2336.
- Halpern, P., Kieschnick, R., & Rotenberg, W. (2009). Determinants of financial distress and bankruptcy in highly levered transactions. The Quarterly Review of Economics and Finance, 49(3), 772-783.
- JAFFE, F. F., WESTERFIELD, R. W., & ROSS, S. A. (2002). Administração financeira. Corporate Finance, 2.
- Jahanzeb, A., Naslmosavi, S., & Memon, P. A. FINANCIAL DISTRESS FORECASTING OF NON-FINANCIAL FIRMS: A CASE OF PAKISTAN. analysis, 21(22), 23-24.
- Jostarndt, P. (2007). Financial distress, corporate control, and management turnover: A German panel analysis. Financial Distress, Corporate Restructuring and Firm Survival: An Empirical Analysis of German Panel Data, 25-70.
- Katz, S., Lilien, S., & Nelson, B. (1985). Stock market behavior around bankruptcy model distress and recovery predictions. Financial Analysts Journal, 70- 74.
Cite this article
-
APA : Ahmad, I., Ali, Z., & Usman, M. (2018). Predicting Corporate Financial Distress: The Case of Pakistan. Global Social Sciences Review, III(III), 488-503. https://doi.org/10.31703/gssr.2018(III-III).28
-
CHICAGO : Ahmad, Ilyas, Zahid Ali, and Muhammad Usman. 2018. "Predicting Corporate Financial Distress: The Case of Pakistan." Global Social Sciences Review, III (III): 488-503 doi: 10.31703/gssr.2018(III-III).28
-
HARVARD : AHMAD, I., ALI, Z. & USMAN, M. 2018. Predicting Corporate Financial Distress: The Case of Pakistan. Global Social Sciences Review, III, 488-503.
-
MHRA : Ahmad, Ilyas, Zahid Ali, and Muhammad Usman. 2018. "Predicting Corporate Financial Distress: The Case of Pakistan." Global Social Sciences Review, III: 488-503
-
MLA : Ahmad, Ilyas, Zahid Ali, and Muhammad Usman. "Predicting Corporate Financial Distress: The Case of Pakistan." Global Social Sciences Review, III.III (2018): 488-503 Print.
-
OXFORD : Ahmad, Ilyas, Ali, Zahid, and Usman, Muhammad (2018), "Predicting Corporate Financial Distress: The Case of Pakistan", Global Social Sciences Review, III (III), 488-503
-
TURABIAN : Ahmad, Ilyas, Zahid Ali, and Muhammad Usman. "Predicting Corporate Financial Distress: The Case of Pakistan." Global Social Sciences Review III, no. III (2018): 488-503. https://doi.org/10.31703/gssr.2018(III-III).28