A novel application of grey principal component analysis to determine stockholder’s approach towards financial ratios

• Authors: Amin Babaei Falah , Babaei Falah
• Languages of publication: EN

Abstracts

EN

In this paper, we try to determine the stockholder’s desire approach to financial ratios using a combination of principal component analysis and grey theory.Grey Principal Component Analysis (GPCA)handles poor information reduces dimensions of variables and gives an appropriate score to each company. Here we employ GPCA to identify more appropriate strategies of normalizing data curves to reduce the discrepancy between the GPCA-ranking and return-ranking, hence determining the approaches of stockholders of listed pharmaceutical firms of Tehran Stock Exchange (TSE) regarding financial ratios.

Keywords

EN

Performance evaluation; grey principal component analysis; MCDM; pharmaceutical industry; market desire

Discipline

• ECONOMICS: ECONOMICS

• Publisher: Prague Development Center, Czech Republic
• Journal: Business and Economic Horizons
• Year: 2015
• Volume: 11
• Issue: 1
• Pages: 41-50

Dates

published

2015-04-14

Contributors

author

Amin Babaei Falah

author

Babaei Falah

References

• Babaei Falah, A., & Khalili Araghi, M., 2014. "A novel application of grey factor analysis to determine markets desire approaching financial ratios", Indian Journal of Scientific Research, 7(1), pp.1273-1281
• Dweiri, F., & Kablan, M., 2006. "Using fuzzy decision-making for the evaluation of the project management internal efficiency", Decision Support Systems, 42(2), pp.712-726, http://dx.doi.org/10.1016/j.dss.2005.04.001
• Feng, T., Liu, D., & Tzeng, G., 2007. "Rough set-based logic for multi-criteria decision analysis", European Journal of Operational Research, 182, pp.340-355, http://dx.doi.org/10.1016/j.ejor.2006.08.029
• Johnson, R.A., & Wichern, D.W., 1982. Applied multivariate statistical analysis. New Jersey: Prentice Hall
• Kung, C., & Wen, K., 2007. "Applying grey analysis and grey decision-making to evaluate the relationship between company attributes and its financial performance. A case study of venture capital enterprises in Taiwan", Decision Support Systems, 43(3), pp.842-852, http://dx.doi.org/10.1016/j.dss.2006.12.012
• Lee, Y.J., & Tung, C.T., 2007. "Applying grey clustering to predict financial distress: Empirical evidence from the listed steel companies on the Taiwanese security Market", The Journal of Grey System, 19(1), pp.49-56
• Lee, Y.J., & Tung, C.T., 2010. "The innovative performance evaluation model of grey factor analysis: A case study of listed biotechnology corporations in Taiwan", Expert Systems with Applications(37), pp.7844-7851
• Ross, S., Westerfield, R., & Jordan, B., 2002. Fundamentals of Corporate Finanace (Sixth, Alternate Edition ed., Vol. 1). The McGraw-Hill
• Selamat, A., & Omatu, S., 2004. "Web page feature selection and classification using neural network", Information Science, 158, pp.69-88, http://dx.doi.org/10.1016/j.ins.2003.03.003
• Tu, Y.C., Lin, C.T., & Feng, M.W., 2001. "Application of grey relational analysis to evaluating shopping mall projects in Taiwan", The Journal of Grey System, 13(4), pp.68-77
• Tung, C.-T., & Lee, Y.-J., 2009. "A novel approach to construct grey principal component analysis evaluation model", Expert Systems with Applications, 36, pp.5916-5920, http://dx.doi.org/10.1016/j.eswa.2008.07.007
• Wang, Y.J., 2008. "Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan", Expert Systems with Applications, 34, pp.1837-1845, http://dx.doi.org/10.1016/j.eswa.2007.02.029
• Wu, J.H., && Chen, C.B., 1999. "An alternative form for grey relational grades", The Journal of Grey System, 11(1), pp.7-12

Identifiers

DOI

http://dx.doi.org/10.15208/beh.2015.04