Abstract
A business enterprise, striving for maximum revenue generation and sustainable profitability, comprehensively and continuously engages in exploring the key factors to expand the market base aiming to clinch the top seat. Owing to plurality of financial variables, it has always been an issue of academic and practical importance to arrive at a smaller but reliable set of financial indicators. Post Great Depression, empirical literature emphasized largely upon predicting bankruptcy of companies in dichotomous categories through linear combination of a few variables, e.g., Altman Z, Zeta, and Discriminant functions, etc. With the recent advancements in the IT, Data Analysis and Research, newer and robust statistical techniques are being used to obtain linear vectors of multiple groups to explain the financial performance. The present study selected twenty-eight financial variables representing major financial dimensions of a business to derive a variate or discriminant function of the significant variables to predict the revenue of the top performing companies (three pre-defined groups). Analysis was made separately for each of the 2 years (2016 and 2017). The obtained functions accurately classified 70% of the companies in each year. The results have implications for investors, management, credit rating agencies, mergers and acquisitions, etc., as their decisions depend upon sound prediction and forecasting.
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References
Almansour, B.Y. 2015. Empirical Model for Predicting Financial Failure. American Journal of Finance, Economics and Management 1 (3): 113–124.
Altman, E.I. 1968. Financial Ratios, Discriminant Analysis and Prediction of Corporate Bankruptcy. The Journal of Finance 23 (4): 589–609.
Altman, E.I. 1973. Predicting Railroad Bankruptcies in America. The Bell Journal of Economics and Management Science 4 (1): 184–211.
Amran, N.A., and N. Aripin. 2015. Financial Ratios: A Tool for Conveying Information and Decision Making. Global Review of Accounting and Finance 6 (1): 151–164.
Appiah, K.O. 2011. Corporate Failure Prediction: Some Empirical Evidence from Listed Firms in Ghana. China-USA Business Review 10 (1): 32–41.
Argenti, J. (1983). Predicting corporate failure. Accountants digest, No. 138 (pp. 1-25). Institute of Chartered Accountants in England and Wales, London.
Aziz, M.A., and H.A. Dar. 2006. Predicting Corporate Bankruptcy: Where We Stand. Corporate Governance 6 (1): 18–33.
Beaver, W.H. 1968. Alternative Accounting Resources as Proctors of Failure. The Accounting Review 43 (1): 113–122.
D’Amato, E. 2010. The Top 15 Financial Ratios. Accounting of Research 10 (1): 167–179.
Gao, W. 2008. Financial Ratios as Predictors of Failure: Evidence from Hong Kong using Logit Regression. 17 Nov 2008.
Gombola, M.J. and J.E. Ketz. 1983. Financial Ratio Patterns in Retail and Manufacturing Organisations. Financial Management, 12(2), 45–56. Retrieved from: https://www.jstor.org/stable/3665210.
Hair, J.F. Jr., R.E. Anderson, R.L. Tatham, and W.C. Black. 1995. Multiple discriminant analysis. Multivariate Data Analysis with Readings (pp. 178–255). New Jersey: Prentice Hall.
Horrigan, J.O. 1965. Some Empirical Bases of Financial Ratio Analysis. The Accounting Review, 40(3), 558–568. Retrieved from: https://www.jstor.org/stable/243060.
Horrigan, J.O. 1968. A Short History of Financial Ratio Analysis. The Accounting Review, 43(2), 284–294. Retrieved from: https://www.jstor.org/stable/243765.
Jayant. 2020. Discriminant Function Analysis of Revenue: A Study of Selected Listed Companies in India (Ph.D. Thesis). Indira Gandhi University, Meerpur, Rewari (India).
Jezovita, A. 2015. Designing the Model for Evaluating Financial Quality of Business Operations. Management, 20 (1), 101–129. Retrieved from: https://hrcak.srce.hr/file/208884.
Johnson, W.B. 1979. The Cross Sectional Stability of Financial Ratio Patterns. The Journal of Financial and Quantitative Analysis, 14(5), December 1979. Retrieved from: https://www.jstor.org/stable/2330305.
Jones, S., and D.A. Hensher. 2004. Predicting Firm Financial Distress: A Mixed Logit Model. The Accounting Review, 79(4), 1011–1038. October, 2004. Retrieved from https://www.jstor.org/stable/4093084.
Jordan, J.L., C.N. Carlson, and J.R. Wilson. 1997. Financial Indicators Measure Fiscal Health. Journal of American Water Works Association, 89(8), 34–40. Retrieved from: https://www.jstor.org/stable/41295985.
Joy, M.O., and J.O. Tollefson. 1975. On the Financial Applications of Discriminant Analysis. Journal of Financial and Quantitative Analysis 10: 723–739.
Liang, Q. 2003. Corporate Financial Distress Diagnosis in China: Empirical Analysis Using Credit Scoring Models. Hitotsubashi Journal of Commerce and Management, 38(1), 13–28. Retrieved from: https://www.jstor.org/stable/43294995.
Morris, R. 1997. Early Warning Indicators of Corporate Failure: A Critical Review of Previous Research and Further Empirical Evidence. Aldershot: Ashgate Publishing Ltd.
Moyer, R.C. 1977. Forecasting Financial Failure: A re-examination. Financial Management 6 (1): 11–17.
Rumman, G.A., and I. Kutum. 2015. Evaluating the stability of Financial Ratios of Jordanian Industrial companies. International Journal of Accounting and Financial Reporting 5 (1): 315–329. https://doi.org/10.5296/ijafr.v5i1.7746.
Shirata, C.Y. 1998. Financial Ratios as Predictors of Bankruptcy in Japan: An Empirical Research. http://www.shirata.net/eng/APIRA98.html.
Siegel, S. 1956. Nonparametric Statistics for Behavioural Sciences. New York: McGraw Hill.
Ramser, J.R., and L.O. Faster. 1931. A Demonstration of Ratio Analysis. Bulletin 4, Bureau of Business Research, University of Illinois.
Walter, J.E. 1959. A Discriminant Function for Earning Price ratios of large industrial corporations. The Review of Economics and Statistics 41 (1): 44–52.
Watson, C.J. 1982. Approaches for the Interpretation of Multiple Discriminant Analysis in Organizational Research. The Academy of Management Review 7 (1): 124–132.
Wijekoon, N., and A.A. Azeez. 2015. An Integrated Model to Predict Corporate Failure of Listed Companies in Sri Lanka. International Journal of Business and Social Research 5 (7): 1–14.
Zetinoglu, E., and Y.D. Akarm. 2013. Financial Failure Prediction Using Financial Ratios: An Empirical Application on Istanbul Stock Exchange. Journal of Applied Finance & Banking 3 (3): 107–116.
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Hooda, J., Singh, V. & Dangi, A. Discriminant model of revenue prediction: a study of selected top performing companies in India. J Revenue Pricing Manag 20, 185–193 (2021). https://doi.org/10.1057/s41272-021-00299-x
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DOI: https://doi.org/10.1057/s41272-021-00299-x