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2015 | vol. 11, iss. 1 | 41--50
Tytuł artykułu

A Novel Application of Grey Principal Component Analysis to Determine Stockholder's Approach Towards Financial Ratios

Warianty tytułu
Języki publikacji
EN
Abstrakty
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. (original abstract)
Rocznik
Strony
41--50
Opis fizyczny
Twórcy
  • Islamic Azad University, Iran
  • Imam Hussein University, Iran
Bibliografia
  • Babaei Falah, A., and 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., and Kablan, M., 2006. Using fuzzy decision-making for the evaluation of the project management internal efficiency, Decision Support Systems, 42(2), pp.712-726
  • Feng, T., Liu, D., and Tzeng, G., 2007. Rough set-based logic for multi-criteria decision analysis, European Journal of Operational Research, 182, pp.340-355
  • Johnson, R.A., and Wichern, D.W., 1982. Applied multivariate statistical analysis. New Jersey: Prentice Hall
  • Kung, C., and 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
  • Lee, Y.J., and 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., and 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., and Jordan, B., 2002. Fundamentals of Corporate Finanace (Sixth, Alternate Edition ed., Vol. 1). The McGraw-Hill
  • Selamat, A., and Omatu, S., 2004. Web page feature selection and classification using neural network, Information Science, 158, pp.69-88
  • Tu, Y.C., Lin, C.T., and 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., and Lee, Y.-J., 2009. A novel approach to construct grey principal component analysis evaluation model, Expert Systems with Applications, 36, pp.5916-5920
  • Wang, Y.J., 2008. Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan, Expert Systems with Applications, 34, pp.1837-1845
  • Wu, J.H., andand Chen, C.B., 1999. An alternative form for grey relational grades, The Journal of Grey System, 11(1), pp.7-12
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171392519

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