scholarly journals Financial performance analysis of GIC Re

2020 ◽  
Vol 17 (1/2) ◽  
pp. 181-195
Author(s):  
Tutun Mukherjee ◽  
Pinki Gorai ◽  
Som Sankar Sen

Purpose This study aims to analyse the following: first, the financial performance of General Insurance Re (GIC Re) using performance ratios (PRs); second, the uniformity of different financial performance indicators of GIC Re; third, the internal growth capacity of GIC Re; and finally, the likelihood of GIC Re going into financial distress. Design/methodology/approach As a sample, GIC Re, the lion shareholder in Indian Reinsurance Industry has been considered in the present study. All the necessary data have been extracted from the secondary sources over a time period of 16 years. The financial performance of GIC Re is assessed using five standard ratios, and the uniformity of different financial performance indicators of GIC Re has been examined using Kendall’s Coefficient of Concordance (W). To assess the internal growth capacity of GIC Re internal growth rate has been used, and the likelihood of GIC Re going into financial distress is analysed using multivariate discriminant approach, namely, modified Altman’s Z-score model and logit analysis technique, namely, Ohlson’s O-score model. Findings The results exhibit that financial performance of GIC Re is somewhat satisfactory over a few considerable areas. However, no notable degree of uniformity has been observed amongst the varied financial performance indicators, namely, performance ratio, expense ratio, return on assets, risk retention ratio and combined ratio of GIC Re. The results also reveal GIC Re is lacking ability of growing internally. Moreover, there remains a significant possibility of GIC Re going into financial distress in the near future and so. Originality/value This study is one of the first empirical research studies in India that examines the financial performance of GIC Re from different perspectives.

2019 ◽  
Vol 4 (01) ◽  
pp. 27
Author(s):  
Indar Khaerunnisa ◽  
Nur Anisa Rahayu

This research aims to figure out the level of companies bankruptcy by applying Altman Z-Score at the manufacturing companies registered in the Indonesia Stocks Exchange. The result of the research has indicated that ZScore model is applicable to detect the company’s potential bankruptcy issues, especially manufacturing company subsectors of cosmetics and houseappliances. Altman Z-Score model has classified the companies into three categories; safe, grey area and distress. Based on the result of the research, for the companies which are in the grey area category are suggested to improve their financial performance and to use the benefit of all the assets properly to get the revenue as much as possible. However, for the companies which are in the safe category are suggested to increase their performance, especially marketing performance so that they will receive bigger amount of the revenue, nevertheless, the potential of financial distress can be minimized accordingly. Keywords: manufacturing company, financial distress, Altman Z-Score.


2015 ◽  
Vol 15 (5) ◽  
pp. 641-662 ◽  
Author(s):  
Tamer Mohamed Shahwan

Purpose – This paper aims to empirically examine the quality of corporate governance (CG) practices in Egyptian-listed companies and their impact on firm performance and financial distress in the context of an emerging market such as that of Egypt. Design/methodology/approach – To assess the level of CG practices at a given firm, the current study constructs a corporate governance index (CGI) which consists of four dimensions: disclosure and transparency, composition of the board of directors, shareholders’ rights and investor relations and ownership and control structure. Based on a sample of 86 non-financial firms listed on the Egyptian Exchange, the effects of CG on performance and financial distress are assessed. Tobin’s Q is used to assess corporate performance. At the same time, the Altman Z-score is used as a financial distress indicator, as it measures financial distress inversely. The bigger the Z-score, the smaller the risk of financial distress. Findings – The overall score of the CGI, on average, suggests that the quality of CG practices within Egyptian-listed firms is relatively low. The results do not support the positive association between CG practices and financial performance. In addition, there is an insignificant negative relationship between CG practices and the likelihood of financial distress. The current study also provides evidence that firm-specific characteristics could be useful as a first-pass screen in determining firm performance and the likelihood of financial distress. Research limitations/implications – The sample size and time frame of our analysis are relatively small; some caution would be needed before generalizing the results to the entire population. Practical implications – The findings may be of interest to those academic researchers, practitioners and regulators who are interested in discovering the quality of CG practices in a developing market such as that of Egypt and its impact on financial performance and financial distress. Originality/value – This paper extends the existing literature, in the Egyptian context in particular, by examining firm performance and the risk of financial distress in relation to the level of CG mechanisms adopted.


2021 ◽  
Vol 4 (1) ◽  
pp. 54-70
Author(s):  
Evi Maria ◽  
Abdul Halim ◽  
Eko Suwardi

This study aims to determine the effect of financial distress and regional independence on the probability of corruption in the local governments, Indonesia. This study used panel data of local governments in Indonesia in 2012 and 2013 with a total of 785 local governments. Data were analyzed using logistic regression analysis. The study results found that financial distress had no effect on the probability of corruption, while regional independence had a positive effect on the probability of corruption in the local governments, Indonesia. This means that if the regional independence is high then the probability of corruption in the local government is also high, vice versa. The study findings were also robust in a separated analysis, when additional test was carried out. This study found empirical evidence that the independence of funding sources, independence ratios to meet regional needs, and the amount of regional income could be used to detect corruption in local governments, Indonesia, while the budget solvency ratio, financial performance ratio of budget, financial performance ratio of fund equity and regional financial efficiency could not.


2021 ◽  
Vol 23 (1) ◽  
pp. 135-149
Author(s):  
Ratnawati Raflis ◽  
Enny Arita

Corona Virus Pandemic affected the world economy, including Indonesia. Many companies are out of business due to this pandemic.With the background of the conditions mentioned above, the researchers are interested in examining more deeply the variables that determine the level of financial distress and at the same time the financial health of the company. Furthermore, the variables that are used as independent variables and are thought to affect the company's financial performance are capital structure, ownership structure and company characteristics. In assessing financial performance, the Altman Z Score model is used and then to see the impact of the variables that are thought to affect the company's financial performance.The research model used is the Logistic Regression equation.Population and sample are taken from financial data of companies listed on the Indonesia Stock Exchange. Data is taken manually on the website: www.idx.co.id. And the period in this study was taken from 2015-2019. The test results prove that the Capital Structure and Ownership Structure are factors that have a significant influence on the Company's Financial Distress and Financial Health. ABSTRAK Pandemi Virus Corona berimbas pada perekonomian dunia tidak terkecuali pada perekonomian di Indonesia. Banyak perusahaan yang gulung tikar akibat pandemik ini. Dengan berlatar belakang kondisi tersebut diatas maka peneliti tertarik untuk mengkaji lebih dalam menentukkan variabel yang sangat menentukan tingkat Financial Distress dan sekaligus financial health (Kinerja Keuangan) perusahaan. Selanjutnya variabel yang di jadikan variabel independen dan di duga berpengaruh terhadap kinerja keuangan perusahaan adalah struktur modal, struktur kepemilikkan dan Kharakteristik Perusahaan. Dalam menilai kinerja keuangan maka digunakan model Altman Z Score dan selanjutnya untuk melihat dampak variabel yang di duga berpengaruh terhadap kinerja keuangan perusahaan. Model penelitian yang di pakai adalah persamaan Logistic Regression. Model ini kemudian akan di lakukan uji T , Uji F dan Uji Asumsi Klasik sebelum di gunakan dalam melihat signifikasi variabel independen terhadap variabel dependen. Populasi dan sampel diambil dari data keuangan perusahaan yang terdaftar di Bursa Efek Indonesia. Data diambil secara manual di website: www.idx.co.id. Periode pada penelitian ini diambilkan data dari tahun 2015-2019. Hasil Pengujian membuktikan bahwa Struktur Modal dan Struktur Kepemilikkan adalah faktor yang sangat berpengaruh signifikan terhadap Financial Distress dan Financial Health Perusahaan.


This study aimed to analyze the level of bankruptcy using Altman Z-Score model of modifications and models Springate, the Plantations Company period 2014-2017. The data used in this research is secondary data, financial data Plantations Company taken from the site www.idx.co.id. Based on the results of this study show that the model of the Altman Z-Score modification Plantations Industries was having financial difficulties which would be potentially bankrupt, it can be seen from the Z-Score of less than 1.1 in the period 2014-2017 and no different from using a model that generates value Springate S-Score <0.862 means that the financial performance Plantations company are experiencing financial difficulties during the 2014-2017 period and potentially going bankrupt.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amit Kumar Bardhan ◽  
Barnali Nag ◽  
Chandra Sekhar Mishra ◽  
Pradeep Kumar Tarei

PurposeAn amalgamation of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytical Network Process (ANP) has been performed to develop a decision-making framework for improving the overall performance of the microfinance institutions. A primary survey was conducted to collect real-time data from the heterogeneous stakeholders of microfinance institutions across India. The validation of the proposed framework is performed by comparing the results against the conventional method of Analytical Hierarchy Process (AHP).Design/methodology/approachThis study identifies various dimensions and indicators for measuring the performance of Indian microfinance institutions. Additionally, the ranking and prioritisation of the performance dimensions and indicators is obtained by considering the mutual interrelation between them.FindingsThe study indicates that there exists a significant dyadic relationship between financial performance and social performance for improving the overall performance of the microfinance institutions. Governance is found to unidirectionally influence both financial and social performance. Among all the considered dimensions, financial performance of a microfinance institution is the most critical dimension for improving the overall performance. The top five performance indicators of the Indian microfinance institutions are funding source, borrowing and overhead cost, size of the firm, end-use of the money and depth of outreach.Research limitations/implicationsThe study was conducted in the context of Indian microfinance institutions; hence the scope of generalisation of the results is limited. This research considers both subjective and objective aspect of the performance dimensions and indicators from the perspective of multiple stakeholders (i.e. firm, society and regulator). The integrated framework is expected to aid in improving overall performance of microfinance institutions by focusing on the most critical (high prioritised) performance indicators.Originality/valueAn integrated DEMATEL-ANP framework is used in the domain of microfinance to assess the performance dimensions. This study is unique in terms of analysing performance of microfinance institutions from the perspective of heterogeneous stakeholders.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Kalash

PurposeThe purpose of this article is to examine how financial distress risk and currency crisis affect the relationship between financial leverage and financial performance.Design/methodology/approachThis study uses data of 200 firms listed on Istanbul Stock Exchange during the period from 2009 to 2019, resulting in 1950 firm-year observations. Pooled ordinary least squares, random effects, firm fixed effects and two-step system GMM models are used to investigate the hypotheses of this study.FindingsThe results reveal that financial leverage has negative and significant effect on financial performance, and that this effect is stronger for firms with higher financial distress risk. Furthermore, the findings provide moderate evidence that currency crisis exacerbates the negative association between leverage and performance.Practical implicationsThe results of this study have important implications for firms in emerging markets. Managers can enhance firm performance by reducing the level of financial leverage, especially in firms with higher financial distress risk. These firms incur higher debt costs, and then they can benefit more from the decreases in debt ratio in their capital structure. Moreover, the decreases in debt level have more importance in currency crisis times, when the access to external finance becomes more expensive and more difficult.Originality/valueTo the author's knowledge, this research is the first to examine the effect of currency crisis on the financial leverage–financial performance relationship and is one of few that investigate the role of financial distress risk in determining the linkage between leverage and firm performance.


2018 ◽  
Vol 2 (1) ◽  
pp. 37-49 ◽  
Author(s):  
Guler Aras ◽  
Nuray Tezcan ◽  
Ozlem Kutlu Furtuna

Purpose The purpose of this paper is to assess the financial performance of the intermediary institutions that have operated in the Turkish capital markets taking the issue of bank-origin and non-bank-origin institutions into account. Design/methodology/approach Financial performance of the intermediary institutions has been measured by the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method between the years 2005 and 2016. In order to implement the TOPSIS method, the relative importance of financial performance indicators has been determined by Entropy, survey results and considering equal weights approaches. Findings Empirical findings indicate that the average performances of continuously operating intermediary institutions during the concerned period are above the average performance levels of all intermediaries. Additionally, the average rank of bank-origin intermediary institutions have been found higher than the non-bank origins for all years. This reveals that the average financial performance of the bank-origin intermediary institutions is higher than the average score of non-bank origins during the related years. Originality/value This study is unique in terms of evaluating the performance of intermediary institutions in Turkish capital markets with a comprehensive framework. Determining the relative importance of financial performance indicators according to entropy, survey results and equal-weight approaches and revealing the average financial performance ranking methodology for bank-origin and non-bank-origin intermediary institutions have added value.


2015 ◽  
Vol 22 (4) ◽  
pp. 390-402 ◽  
Author(s):  
Yukiko Konno

Purpose – The purpose of this paper is to examine the factors influencing defaults and exits from public works by prime contractors of small and medium-sized enterprises in the Japanese construction industry. By analysing the data for several years as panel data, this study determines the extent of influence of changes in company characteristics on the defaults and exits. Design/methodology/approach – Using construction company evaluation (Keiei Jikou Sinsa or Keisin) data and by employing the panel binary logit random effect model, this study empirically analyses the construction industry. Findings – This study shows that defaulting and exiting companies have different characteristics. The result shows financial performance indicators, non-financial performance indicators and Keisin scores to significantly affect defaults and exits. In particular, this study finds non-financial performance indicators, such as whether a firm draws insurance, to significantly affect its likelihood to default or exit and the influence varies on the basis of insurance type. Originality/value – The feature of this study is that its analysis focuses not only on defaulting companies but also on exiting companies, defined as those that stop operating as prime contractors for public works but otherwise stay in business. In contrast to existing research, this study distinguishes between defaults and exits and analyses the factors that influence a firm following one of these two outcomes. Moreover, although Keisin data are usually used to determine whether companies qualify to enter bids for public works, they can be applied for an attribution analysis of corporate defaults and exits.


2014 ◽  
Vol 19 (2) ◽  
pp. 101-116 ◽  
Author(s):  
Yukiko Konno

Purpose – The purpose of this study is to examine what factors affect the exit of small and medium-sized enterprises (SMEs) from tendering for public works in the Japanese construction industry using the Keiei Jikou Sinsa or Keisin (the database for evaluation of construction companies in Japan). Design/methodology/approach – This study empirically analyzes SMEs’ exit using the binary logit model. For the empirical analysis, it uses the scores as well as financial and non-financial performance indicators of Keisin data. Findings – The Keisin scores (the total score and W score), financial performance indicators (cash flow from operations and capital) and non-financial performance indicators (having unemployment insurance and operating years) significantly affect SME exits. Although the Keisin data are used for bid entry qualifications of public works, they can be applied to a factor analysis of the exit of SMEs in the construction industry. Originality/value – As there exists little empirical analysis of the exit of SMEs globally, this study contributes to the research on this phenomenon.


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