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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Stock Selection using the Data Envelopment Analysis Models and DuPont Analysis

Roslah Arsad, Zaidi Isa, Nurul Hafizah Zainal Abidin, Siti Nabilah Mohd Shaari

http://dx.doi.org/10.6007/IJARBSS/v12-i8/14448

Open access

Analysing performance using the financial ratio is challenging for many investors and researchers. The purpose of this study is to evaluate efficiency performance of decision-making units (DMUs) which is stocks company of using production frontier-based and accounting-based approaches. Thus, the data envelopment analysis (DEA) models and DuPont analysis were applied. Specifically, DuPont analysis was utilized to evaluate three different aspects: profitability, the efficiency of assets utilization and financial leverage. The return on equity (ROE) was calculated to rank the companies’ performance. Meanwhile, the estimation method of DEA computed the efficiency scores and ranked the companies accordingly based on the ROE, return on assets, earnings per share, net profit margin, price to earnings ratio, debt to equity ratio and asset turnover. The major results showed that DMUs (company) gave different picture performance rankings with different approaches. The finding also revealed that the results from DEA method, gave more comprehensive analysis in term of efficiency measurement, whereas DuPont presented good analysis because it provided information for investors if the highest return is the main objective for them. Additionally, the analysis also provided an indication whether a company can earn a higher return if it generates a high net profit margin; if it uses its assets effectively to generate more sales and if it has a high financial leverage.

Alirezaee, M. R., & Afsharian, M. (2007). A complete ranking of DMUs using restrictions in DEA models. Applied Mathematics and Computation, 189(2), 1550–1559.
Almazari, A. A. (2012). Financial performance analysis of the Jordanian Arab bank by using the DuPont system of financial analysis. International Journal of Economics and Finance, 4(4), 86–94.
Arsad, R., Abdullah, N. M., Alias, S., & Isa, Z. (2017). Selection Input Output by Restriction Using DEA Models Based on a Fuzzy Delphi Approach and Expert Information. Journal of Physics: Conference Series, 892(1). https://doi.org/10.1088/1742-6596/892/1/012010
Azadeh, A., Haghighi, S. M., Zarrin, M., & Khaefi, S. (2015). Performance evaluation of Iranian electricity distribution units by using stochastic data envelopment analysis. International Journal of Electrical Power & Energy Systems, 73, 919–931.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078–1092.
Bulgurcu, B. (Kiran). (2012). Application of TOPSIS Technique for Financial Performance Evaluation of Technology Firms in Istanbul Stock Exchange Market. Procedia - Social and Behavioral Sciences, 62, 1033–1040. https://doi.org/10.1016/j.sbspro.2012.09.176
Burja, V., & Marginean, R. (2014). The study of factors that may influence the performance by the Dupont analysis in the furniture industry. Procedia Economics and Finance, 16, 213–223.
Chang, K. J., Chichernea, D. C., & HassabElnaby, H. R. (2014). On the DuPont analysis in the health care industry. Journal of Accounting and Public Policy, 33(1), 83–103.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444.
https://doi.org/10.1016/0377-2217(78)90138-8
Chen, H. (2008). Stock selection using data envelopment analysis. Industrial Management & Data Systems, 108(9), 1255–1268.
Delen, D., Kuzey, C., & Uyar, A. (2013). Measuring firm performance using financial ratios: A decision tree approach. Expert Systems with Applications, 40(10), 3970–3983. https://doi.org/10.1016/j.eswa.2013.01.012
Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253–281.
Jha, S., Hui, X., & Sun, B. (2013). Commercial banking efficiency in Nepal: Application of DEA and Tobit model. Information Technology Journal, 12(2), 306–314.
Kijewska, A. (2016). Determinants of the return on equity ratio (ROE) on the example of companies from metallurgy and mining sector in Poland. Metalurgija, 55(2), 285–288.
Lee, A., Lin, M., & Kao, R. (2010). An effective clustering approach to stock market prediction. PACIS 2010 Proceedings, 345–354.
Lin, B., & Yang, L. (2014). Efficiency effect of changing investment structure on China? s power industry. Renewable and Sustainable Energy Reviews, 39, 403–411.
Ling, O. P., & Kamil, A. A. (2010). Data envelopment analysis for stocks selection on Bursa Malaysia. Archives of Applied Science Research, 2(5), 11–35.
Mansouri, A., Naser, E., & Ramazani, M. (2014). Ranking of companies based on TOPSIS-DEA approach methods (case study of cement industry in Tehran stock exchange). Pakistan Journal of Statistics and Operation Research, 10(2), 189–204.
Mohamad, N. H., & Said, F. (2010). Measuring the performance of 100 largest listed companies in Malaysia. African Journal of Business Management, 4(14), 3178–3190.
Mokhtar, M., Shuib, A., & Mohamad, D. (2014). Identifying the critical financial ratios for stocks evaluation: A fuzzy delphi approach. AIP Conference Proceedings, 1635(1), 348–354.
Muchtar, D., Nor, M. F., Albra, W., Arifai, M., & Ahmar, A. S. (2018). Dynamic performance of Indonesian public companies: An analysis of financial decision behavior. Cogent Economics & Finance, 6(1), 1488343.
Murillo-Zamorano, L. R. (2004). Economic efficiency and frontier techniques. Journal of Economic Surveys, 18(1), 33–77. https://doi.org/10.1111/j.1467-6419.2004.00215.x
Niaki, S., & Salmani, S. H. (2016). Using Stochatic Frontier Function to Measure Branch Efficiency of Saman Bank in Iran. International Journal of Humanities and Cultural Studies, Special Issue, 659–673.
Kaya, O. E. (2016). Financial Performance Assessment of Non-Life Insurance Companies Traded in Borsa Istanbul via Grey Relational Analysis. International Journal of Economics and Finance, 8(4), 277. https://doi.org/10.5539/ijef.v8n4p277
Poh, L. T., Kilicman, A., & Ibrahim, S. N. I. (2018). On intellectual capital and financial performances of banks in Malaysia. Cogent Economics & Finance, 6(1), 1453574.
Powers, J., & McMullen, P. (2000). Using data envelopment analysis to select efficient large market cap securities. Journal of Business and Management, 7(2), 31–42.
?epková, I. (2012). Measuring the efficiency in the Czech banking industry: Data Envelopment Analysis and Malmquist index. Mathematical Methods in Economics.[Proceedings of 30th International Conference.] Karviná: Silesian University, School of Business Administration, 781–786.
Rezaei, M., & Ketabi, S. (2016). Ranking the banks through performance evaluation by integrating fuzzy AHP and TOPSIS methods: A study of Iranian private banks. International Journal of Academic Research in Accounting, Finance and Management Sciences, 6(3), 19–30.
Sengul, U., & Eren, M. (2014). An Alternative Dynamic SBM Measure: A Case of the Information Technology Sector in Turkey. Review of European Studies, 6(3), 81–90.
Sheela, S. C. (2020). Financial Performance of Pharmaceutical Industry in India using DuPont Analysis. 4(14), 84–91.
Soliman, M. T. (2008). The use of DuPont analysis by market participants. The Accounting Review, 83(3), 823–853.
Sweiti, I., & Lele, U. (2016). Impact of Balanced Scorecard Implementation on Financial Performance of Saudi Listed Companies. Journal of Behavioural Economics Journal of Behavioural Economics Finance , Entrepreneurship , Accounting and Transport, 4(1), 8–12. https://doi.org/10.12691/jbe-4-1-2
Tsolas, I. E. (2013). Modeling profitability and stock market performance of listed construction firms on the Athens Exchange: Two-stage DEA approach. Journal of Construction Engineering and Management, 139(1), 111–119.
Zamani, L., Beegam, R., & Borzoian, S. (2014). Portfolio selection using Data Envelopment Analysis (DEA): A case of select indian investment companies. International Journal of Current Research and Academic Review, 2(4), 50–55.
Zohdi, M., Marjani, A. B., Najafabadi, A. M., Alvani, J., & Dalv, M. R. (2012). Data envelopment analysis (DEA) based performance evaluation system for investment companies: Case study of Tehran Stock Exchange. African Journal of Business Management, 6(16), 5573–5577.

In-Text Citation: (Arsad et al., 2022)
To Cite this Article: Arsad, R., Isa, Z., Abidin, N. H. Z., & Shaari, S. N. M. (2022). Stock Selection using the Data Envelopment Analysis Models and DuPont Analysis. International Journal of Academic Research in Business and Social Sciences, 12(8), 1770 – 1787.