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Evaluating Company Efficiency in Malaysian Stock Markets: Insights from DEA and Super Efficiency Models

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  • Roslah Arsad

    (Mathematical Sciences Studies, College of Computing, Informatic and Mathematics, Universiti Teknologi MARA (UiTM), Perak Branch, Tapah Campus, 35400 Tapah Road, Perak, Malaysia)

  • Zaidi Isa

    (School of Mathematical Sciences Studies, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia)

Abstract

This study evaluates the financial efficiency of thirty Malaysian companies listed on Bursa Malaysia from 2016 to 2018, using Data Envelopment Analysis (DEA) with the Charnes, Cooper, and Rhodes (CCR) model under constant returns to scale. Efficiency is measured through financial ratios, with return on equity as the output and asset turnover, market capitalization, and debt to equity ratio as inputs. A score of 1 indicates full efficiency, while scores below 1 reflect inefficiency. In 2018, results showed that eight companies (7%) achieved a perfect efficiency score of 1. These companies included DMU2 (Westports Holdings Berhad), DMU3 (AWC Berhad), DMU5 (Cypark Resources Berhad), DMU10 (George Kent (Malaysia) Berhad), DMU11 (AirAsia Group Berhad), DMU15 (UOA Development Berhad), DMU16 (Yinson Holdings Berhad), and DMU17 (RGB International Berhad), making it challenging to identify the top performer. To distinguish the top performers, the Super Efficiency method was applied, revealing DMU15 (UOA Development Berhad) as the most efficient, followed by DMU10 (George Kent (Malaysia) Berhad) and DMU16 (Yinson Holdings Berhad). Similar patterns were observed in 2017 and 2016, with DMU3 (AWC Berhad) consistently emerging as a top performer. The study highlights that using DEA and Super Efficiency methods provides a comprehensive and detailed ranking of company efficiency, offering valuable insights for informed policymaking and investment strategies. The findings underscore the importance of efficiency in driving investor confidence and supporting economic growth.

Suggested Citation

  • Roslah Arsad & Zaidi Isa, 2024. "Evaluating Company Efficiency in Malaysian Stock Markets: Insights from DEA and Super Efficiency Models," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(8), pages 4707-4718, August.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:8:p:4707-4718
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    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. Mao, Weining & Koo, Won W., 1997. "Productivity growth, technological progress, and efficiency change in chinese agriculture after rural economic reforms: A DEA approach," China Economic Review, Elsevier, vol. 8(2), pages 157-174.
    3. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    4. Aragonés-Beltrán, Pablo & Chaparro-González, Fidel & Pastor-Ferrando, Juan-Pascual & Pla-Rubio, Andrea, 2014. "An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects," Energy, Elsevier, vol. 66(C), pages 222-238.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. W. Cooper & L. Seiford & K. Tone & J. Zhu, 2007. "Some models and measures for evaluating performances with DEA: past accomplishments and future prospects," Journal of Productivity Analysis, Springer, vol. 28(3), pages 151-163, December.
    7. Mukesh Kumar & Vincent Charles & Chandra Sekhar Mishra, 2016. "Evaluating the performance of indian banking sector using DEA during post-reform and global financial crisis," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(1), pages 156-172, February.
    8. Md Zobaer Hasan & Anton Abdulbasah Kamil & Adli Mustafa & Md Azizul Baten, 2012. "Stochastic Frontier Model Approach for Measuring Stock Market Efficiency with Different Distributions," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-9, May.
    9. José França & João Figueiredo & Jair Lapa, 2010. "A DEA methodology to evaluate the impact of information asymmetry on the efficiency of not-for-profit organizations with an application to higher education in Brazil," Annals of Operations Research, Springer, vol. 173(1), pages 39-56, January.
    10. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    11. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    12. Pérez, Karen & González-Araya, Marcela C. & Iriarte, Alfredo, 2017. "Energy and GHG emission efficiency in the Chilean manufacturing industry: Sectoral and regional analysis by DEA and Malmquist indexes," Energy Economics, Elsevier, vol. 66(C), pages 290-302.
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