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.

scholarly journals Principal component analysis in determining representative financial ratios within non-life insurance sector in Serbia

2021 ◽  
Vol 69 (6-7) ◽  
pp. 306-317
Author(s):  
Vladimir Vasić ◽  
Jelena Kočović ◽  
Marija Koprivica
Keyword(s):  
Principal Component Analysis ◽  
Life Insurance ◽  
Financial Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Capital Adequacy ◽  
Financial Ratios ◽  
Insurance Companies ◽  
Insurance Sector ◽  
And Performance

The paper deals with the application of principal component analysis in determining financial ratios that are representative within non-life insurance sector. Starting from many financial indicators found in the literature in the field of insurance, the purpose of the study is to identify a smaller set of ratios that are most relevant for assessing the financial position and performance of non-life insurance companies in Serbia with a minimum loss of information. On the basis of financial reports of nonlife and composite insurers in the period 2010-2019, we calculated 38 financial ratios, grouped into seven categories (capital adequacy, asset quality, reinsurance risk and performance, adequacy of technical reserves, profitability, liquidity and management soundness). Using parallel analysis and Velicer's minimum average partial test, we found that it is possible to explain 85% of variability of the initial set of ratios with six financial ratios. The obtained results can be used for the purposes of efficient financial analysis of individual insurance companies and the entire nonlife insurance sector in Serbia.

scholarly journals The Profit Impact of IT Investment

1995 ◽  
Vol 10 (1) ◽  
pp. 44-51
Author(s):  
Sam Lubbe ◽  
Gary Parker ◽  
Andrew Hoard
Keyword(s):  
Information Technology ◽  
Life Insurance ◽  
Capital Intensity ◽  
Financial Ratios ◽  
Insurance Companies ◽  
Operating Expense ◽  
It Investment ◽  
Expense Ratio ◽  
Profitability Ratios

Two models were used to study the relationships between profitability and the level of information technology (IT) among long-term life insurance companies. The first compared the computerization index (CI) with profitability ratios. The second used the operating expense ratio (profitability measure) and the IT expense ratio to measure the level of IT capital intensity. The results of the present study showed a positive correlation between the CI and the financial ratios and the most profitable firms are more likely to spend a higher proportion of their non-interest operating expenses on IT.

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