Financial Performance Assessment of Non-Life Insurance Companies by Using Grey Relational Analysis: The Case of TRNC

2021 ◽  
Vol 1 (2) ◽  
pp. 50-69
Author(s):  
Bekir SONBAŞ ◽  
Emine ÖNER KAYA
Keyword(s):  
Financial Performance ◽  
Performance Assessment ◽  
Life Insurance ◽  
Grey Relational Analysis ◽  
Insurance Companies ◽  
Relational Analysis ◽  
Grey Relational

scholarly journals Financial Performance Assessment of Non-Life Insurance Companies Traded in Borsa Istanbul via Grey Relational Analysis

2016 ◽  
Vol 8 (4) ◽  
pp. 277 ◽  
Author(s):  
Emine Oner Kaya
Keyword(s):  
Financial Performance ◽  
Performance Assessment ◽  
Life Insurance ◽  
Grey Relational Analysis ◽  
Capital Adequacy ◽  
Financial Ratios ◽  
Insurance Companies ◽  
Relational Analysis ◽  
Grey Relational ◽  
Profitability Ratios

<p>The analysis of the financial performances of non-life insurance companies traded in Borsa Istanbul (BIST) as of the end of 2014 via the grey relational analysis (GRA) method has been aimed in this study. Financial performances of non-life insurance companies in the 2010 to 2014 period have been examined in terms of the capital adequacy ratios, liquidity ratios, operating ratios, and profitability ratios. The results of the GRA based on 16 financial ratios indicate that Aksigorta has been ranked first and Unico Sigorta has been ranked last in terms of financial performance for the 2010 to 2014 period. The results also show that profitability ratios have the greatest impact on the financial performance of non-life insurance companies traded in BIST.</p>

Financial performance assessment using Grey relational analysis (GRA)

2019 ◽  
Vol 9 (4) ◽  
pp. 502-516 ◽  
Author(s):  
Anandarao Suvvari ◽  
Raja Sethu Durai S. ◽  
Phanindra Goyari
Keyword(s):  
Performance Analysis ◽  
Financial Performance ◽  
Life Insurance ◽  
Grey Relational Analysis ◽  
Statistical Distribution ◽  
Insurance Companies ◽  
Content Type ◽  
Relational Analysis ◽  
Grey Relational ◽  
Practical Implications

Purpose Traditional statistical methods to study the financial performance of any industry have many barriers and limitations in terms of the statistical distribution of the financial ratios, and, in particular, it considers only its positive values of it. The purpose of this paper is to estimate the financial performance of 24 Indian life insurance companies for the period from 2013 to 2016 using Grey relational analysis (GRA) proposed by Deng (1982) that accommodates the negative values in the analysis. Design/methodology/approach Financial performance of 24 Indian life insurance companies for the years from 2013–2014 to 2015–2016 is examined using a total of 14 indicators from capital adequacy ratios, liquidity ratios, operating ratios and profitability ratios (PR). The methodology used is GRA to obtain the Grey grades to rank the performance indicators, where higher relational grade shows better financial performance, and a lower score depicts the scope for improving the performance. Findings The results rank the insurance companies according to their financial performance in which Shriram insurance stands first with higher relational grade score, followed by the companies like IDBI Insurance, Sahara Insurance and Life Insurance Corporation of India. The main finding is that PR which have negative values are playing a crucial role in determining the financial performance of Indian life insurance companies. Practical implications This study has far-reaching practical implications in twofold: first, for the Indian life insurance industry, they have to concentrate more on PR for better financial health and, second, for any financial performance analysis, ignoring negative value ratios produce biased inference and GRA can be used for better inference. Originality/value This study is the first attempt to evaluate the financial performance of Indian life insurance using the GRA methodology. The advantage of GRA is that there is no restrictions on the statistical distribution of the data and it also accommodates the negative values, whereas all the other traditional methods insist on the statistical distribution of data, and, more importantly, they cannot handle negative values in the performance analysis.

scholarly journals Financial Performance Evaluation of Sport Clubs Traded in Borsa Istanbul by Using Grey Relational Analysis

2016 ◽  
Vol 8 (5) ◽  
pp. 293 ◽  
Author(s):  
Ceren Oral
Keyword(s):  
Performance Evaluation ◽  
Financial Performance ◽  
Grey Relational Analysis ◽  
Financial Ratios ◽  
Method Performance ◽  
Relational Analysis ◽  
The Subject ◽  
Sport Clubs ◽  
Table Data ◽  
Grey Relational

The aim of this study is to rank the sport clubs registered in Borsa Istanbul based on their financial performances. In this respect the averages of the 5-year-financial-table data from the years 2010-2014 for the enterprises engaged in the subject sector are used. Using the Grey Relational Analysis (GRA) method performance has been measured by means of liquidity, leverage and profitability. Ten financial ratios have been used for the study. Based on the obtained findings, the most significant indicator for measuring the financial performances of the sport clubs is the profitability. Furthermore the sport clubs have also been ranked in the study based on their actual performances.

Sign in / Sign up

Export Citation Format

Share Document