Ranking of firms by performance using I-distance method
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Author(s)Nurdan DeğirmenciLink to ORCID Index: https://orcid.org/0000-0002-8759-8871
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Tuba Yakici AyanLink to ORCID Index: https://orcid.org/0000-0002-5222-3500
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DOIhttp://dx.doi.org/10.21511/imfi.15(4).2018.07
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Article InfoVolume 15 2018, Issue #4, pp. 85-97
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404 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The objective of this article is to rank firms by their financial performance using statistical I-distance method, which has the ability to determine both ranking and important factors. For this purpose, the method was first applied to 110 Turkish industrial firms without any sectorial separation and then to 7 different sectors, and various findings about firms, sectors and variables were obtained. The I-distance method is used to get rid of the high correlation between variables during the analysis. The reason for choosing the I-distance method is that it allows you to sort the variables by importance and eliminate insignificant variables, as well as take into account correlations between variables. The authors believe that the method is superior to other alternative methods thanks to these qualities. Through a number of analyses, it was possible to see positions of firms both within the whole sample and their own sectors. Furthermore, this method provided valuable information on which factors were important in assessing firms’ financial performance. It has been observed in the analyses that the most effective factors in ranking firms and separating them from each other were profitability ratios, and the fact that liquidity and financial leverage ratios are not effective at all. When examined from a sectoral perspective, the nonmetal mining sector and the chemical, petroleum and plastic sectors seem to be better than other sectors in the performance rankings.
- Keywords
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JEL Classification (Paper profile tab)C38, C44, G39
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References26
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Tables11
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Figures0
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- Table 1. Financial ratios used in the study
- Table 2. The results of the I2-distance method first calculation
- Table 3. The correlation between the I2-distance and the initial indicators
- Table 4. The results of the I2-distance method final calculation
- Table 5. The correlation between the I2-distance and the final variables
- Table 6. The correlation between I2-distance and variables in respect of sectors
- Table 7. Weights of the variables by ENTROPY
- Table 8. The firm ranking by TOPSIS
- Table 9. The firm ranking by the VIKOR
- Table 10. Serial correlation coefficient between ranking methods
- Table A1. The firm list according to sectors
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Industrial development in Saudi Arabia: disparity in growth and development
Anis Ali
doi: http://dx.doi.org/10.21511/ppm.18(2).2020.03
Problems and Perspectives in Management Volume 18, 2020 Issue #2 pp. 23-35 Views: 2530 Downloads: 873 TO CITE АНОТАЦІЯIndustrial development in any nation plays a vital role in the strengthening of the economy and employs human resources as per specifications and directly towards the mainstream of the nation. In Saudi Arabia, there was rapid industrialization for four decades. Some manufacturing industries performed well, while some internal and external business environment factors influenced the others’ performance. The study focuses on historical development, as well as recent trends of well-performing and poor-performing industries of Saudi Arabia. Small manufacturing industries in Saudi Arabia are underdeveloped and need more attention to attain sustainable and progressive growth rate in the form of the number of establishments to enjoy the potential. Manufacture of tobacco, computer, electronics and optics, pharmaceuticals and transport equipment are the deprived and underdeveloped industries of the manufacturing sector. There should be some easy credit schemes for the development of deprived or underdeveloped manufacturing industries. To attain sustainable growth and development of the manufacturing sector, a positive attitude of the government towards underdeveloped manufacturing industries, favorable labor laws, and entrepreneurial awareness, technical and financial assistance are necessary. The growth and development of the manufacturing sector of Saudi Arabia will be helpful in the attainment of goals of Vision 2030.
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Why banks should consider ESG risk factors in bank lending?
Sarwar Uddin Ahmed ,
Samiul Parvez Ahmed ,
Ikramul Hasan
doi: http://dx.doi.org/10.21511/bbs.13(3).2018.07
Banks and Bank Systems Volume 13, 2018 Issue #3 pp. 71-80 Views: 2506 Downloads: 977 TO CITE АНОТАЦІЯWhy banks should be concerned about incorporating environmental, social and governance (ESG) criteria in the lending process? What is the motivation? This study aims to find the motives for considering environmental, social and governance (ESG) criteria in bank lending process. A primary survey has been conducted to know the current status and motivation for incorporating ESG factors in investment decisions. Sample comprised 30 private commercial banks (PCBs) operating in Bangladesh. Data collected were analyzed with graphs, descriptive statistics, and regression analysis. Findings of the study indicate that banks are mostly considering basic environmental, social and governance factors set by regulators qualitatively. They are lagging behind in considering the advanced ESG criteria needed for sustainable and efficient credit risk management. Based on motivation for incorporating ESG factors, it was found that banks pioneering in incorporating ESG factors in lending decisions are compensated through better financial performance. Findings of the study are expected to encourage practitioners and policy-makers to take more pragmatic steps to incorporate ESG risk factors quantitatively in lending decision-making process.
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Integrated reporting and financial performance of South African listed banks
Reon Matemane ,
Rozane Wentzel
doi: http://dx.doi.org/10.21511/bbs.14(2).2019.11
Banks and Bank Systems Volume 14, 2019 Issue #2 pp. 128-139 Views: 2448 Downloads: 491 TO CITE АНОТАЦІЯThe recent development of integrated reporting intends to address the limitations associated with corporate reporting practices. This paper aims to examine whether a statistically significant relationship exists between integrated reporting quality and financial performance. Secondary data was used, namely the integrated reports and annual financial statements of South African banks listed on the Johannesburg Stock Exchange (JSE) for 2010–2014. For the period 2005–2009, only the financial statements were used, since integrated reporting was not yet mandatory. The research design was longitudinal and it combined qualitative and quantitative methods. Descriptive statistics and Feasible Generalized Least Square (FGLS) were used to explore the relationships between financial performance and integrated reporting quality. The results indicate that there is a positive relationship between integrated reporting quality (IRQ) and earnings per share (EPS). However, there is no significant relationship between IRQ and Tobin’s q (Q-Ratio), IRQ and return on equity (ROE), IRQ and return on assets (ROA) as well as IRQ and economic value added (EVA). Moreover, there are no significant differences on the financial performance of the listed banks before and after the introduction of integrated reporting.
