scholarly journals A novel hybrid MCDM model for financial performance evaluation in Iran's food industry

2017 ◽  
Vol 1 (2) ◽  
pp. 38-45 ◽  
Author(s):  
Moslem Alimohammadlou ◽  
Abbas Bonyani

The use of financial ratios as the necessary information is considered as one of the noticeable issues for researchers to apply quantitative models for evaluating the performance of institutions. The reason for introducing these new approaches is that the financial ratios cannot individually provide a correct and adequate understanding of an institution’s performance. This study sought to propose a model for evaluating and ranking 14 companies which are considered as the largest companies in Iran’s food industry according to the recent report of Industrial Management institute (IMI). To accomplish this, an integrated model composed of Best-Worst method and PROMETHEE II was used. Results of data analysis revealed that in final evaluation, some companies such as NOOSH MAZAN Co., PYAZR AI Co. and PEGAH ESF Co had higher positions compared to the others.

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Viraisya Haninda Drana Wasistha ◽  
Deni Herdiyana

<em>This research was conducted to analyze the financial performance of PT Blue Bird Tbk based on financial ratios consisting of liquidity ratios, solvency, activity, and profitability. The research method used is through a quantitative approach. To support this research, data methods were carried out which included literature study and data analysis. The results of the study can be concluded that the liquidity and solvency ratio of PT Blue Bird Tbk is quite good. However, the company's activity and profitability ratios show a poor rating compared to the industry average</em>


2018 ◽  
Vol 7 (3) ◽  
pp. 1623
Author(s):  
Guido Gian Layuk Runtung ◽  
I Putu Yadnya

The Purpose of this study was to analyze the diffrences in financial performance before and after right issue. Right issue a corporate action by the company by issuing new shares offered to existing shareholders. Sampling in this study using method purposive sampling. The samples in this research are 33 companies that conduct period 2011 – 2015. The financial performance in will be analysis through the five financial ratios namely CR, DER, TAT, ROA, and PER. This research data analysis technique using paired sample t test and Wilcoxon signed ranks test. The results showed that significant diffrences in TAT ratio before and after the right issue. While the research for the ratios of CR, DER, ROA, and PER showed no significant difference before and after right issue. These result indicate that the company’s financial performance two years after the right issue is more efficient in utilizing company’s assets in order to increase sales.


2020 ◽  
Vol 1 (1) ◽  
pp. 233-245
Author(s):  
Bagus Jaya Firdaus ◽  
Diharpi Herli Setyowati

This research is a study that compares the financial performance of Sharia Commercial Bank spin-off and acquisition. This research used BJB Syariah Bank and BNI Syariah Bank as a sample from Syariah Bank of spin-off result meanwhile Bank BRI Syariah, Bank BCA Syariah, and Bank Syariah Bukopin as sample from Sharia Public Bank of acquisition result. This research uses annual data for the period 2015-2017. Data analysis technique used is different test by using hypothesis test Independent Sample T-Test and the Mann Whitney U Test. The results of this study indicate that from the results of different tests there is no significant difference from the financial performance of the Islamic Commercial Banks resulting from spin-offs and the results of Acquisitions in financial ratios CAR, ROA, FDR, NPF, and BOPO.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusuf Tansel Ic ◽  
Beril Celik ◽  
Sevcan Kavak ◽  
Busra Baki

PurposeIn this study, financial performance evaluation model is developed for banks aims to measure and compare the performances of banks based on their financial ratios.Design/methodology/approachRegression-AHP (Analytic Hierarchy Process)-VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) integrated methodology is used. First, a literature review is done to find various bank performance measurement models with their financial metrics being compared. Then, pair-wise comparison matrices are used to find the relative weights of criteria (financial ratios) and finally VIKOR method is used to rank the banks.FindingsIt is believed that an AHP-based VIKOR framework helps to take up the explicit account of multi-criteria decision making (MCDM) methodologies in decision making and for selecting the best bank in the Turkish economy.Research limitations/implicationsIn this paper, only selected financial ratios are used and analyzed for the multi-criteria decision-making (MCDM) method.Originality/valueThe systematic solution procedure of performance evaluating the banks helps the decision-makers to carry out performance evaluation studies for improving economic and managerial performance. This comparative study and analysis of bank performance using the regression-AHP-VIKOR combined model is presented for the first time. The authors have not become aware of any such studies in their literature review. This paper is an original framework of the application of the regression-AHP-VIKOR on the various financial performance metrics.


2016 ◽  
Vol 8 (5) ◽  
pp. 293 ◽  
Author(s):  
Ceren Oral

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.


2020 ◽  
Vol 1 (1) ◽  
pp. 233-245
Author(s):  
Bagus Jaya Firdaus ◽  
Diharpi Herli Setyowati

This research is a study that compares the financial performance of Sharia Commercial Bank spin-off and acquisition. This research used BJB Syariah Bank and BNI Syariah Bank as a sample from Syariah Bank of spin-off result meanwhile Bank BRI Syariah, Bank BCA Syariah, and Bank Syariah Bukopin as sample from Sharia Public Bank of acquisition result. This research uses annual data for the period 2015-2017. Data analysis technique used is different test by using hypothesis test Independent Sample T-Test and the Mann Whitney U Test. The results of this study indicate that from the results of different tests there is no significant difference from the financial performance of the Islamic Commercial Banks resulting from spin-offs and the results of Acquisitions in financial ratios CAR, ROA, FDR, NPF, and BOPO.


2021 ◽  
Author(s):  
Luis Lorenzo

Since the appearance of Bitcoin, cryptocurrencies have experienced enormousgrowth not only in terms of capitalization but also in number. As a result, thecryptocurrency market can be an attractive arena for investors as it offers manypossibilities, but a difficult one to understand as well. In this work, we aim tosummarize and segment the whole cryptocurrency market in 2018 with the helpof data analysis tools. We will use three different partitional clustering algorithmseach of them using a different representation for cryptocurrencies, namely: yearlymean and standard deviation of the returns, distribution of returns, and timeseries of returns. Since each representation will provide a different andcomplementary perspective of the market, we will also explore the combination ofthe three clustering results to obtain a fine-grained analysis of the main trends ofthe market. Finally, we will analyse the association of the clustering results withother descriptive features of the cryptocurrencies, including the age, technologicalattributes, and financial ratios derived from them. This will help to enhance theprofiling of the clusters with additional insights. As a result, this work offers adescription of the market and a methodology that can be reproduced by investorsthat want to understand the main trends on the market and that look forcryptocurrencies with different financial performance.


2018 ◽  
Vol 13 (02) ◽  
Author(s):  
Wilna Feronika Rabuisa ◽  
Treesje Runtu ◽  
Heince R. N. Wokas

In the world of banking, finance is very influential on the continuity of the activities of a banking as well as any individual in the banking it. In a company also required an analysis of financial statements to determine the company's ability to overcome the company's financial problems as well as decision making fast and precise. The formulation of the problem in this research is how the financial performance of Rural Banks (BPR) Dana Raya Manado period 2014-2016. The purpose of research is to know the financial performance of Rural Banks (BPR) Dana Raya Manado period 2014-2016. Data analysis technique used in this study by using bank financial ratios. Based on the results of research on the financial ratios of corporate banks are still experiencing fluctuations. Assessment of the Liquidity of Rural Banks Manado Funds Fund is still able to pay its financial obligations. Assessment of Solvency The Bank has adequate capital. Assessment of the company's profitability still has an increased profit.Keywords : Financial Statement, Financial Ratios, Profitabilitas, Rentabilitas


Author(s):  
Saparuddin Siregar ◽  
Mutiara Shifa

The problem in this study is how the financial performance problems of BUMN Islamic banks using the RGEC and SCnP models and the comparison of the two methods. This study aims to determine the financial performance of state-owned Islamic banks using the RGEC and SCnP models and to compare the two methods. The type of research that the author uses is quantitative research. Data collection techniques using documentation through financial reports obtained from the official website of PT. BRI Syariah Tbk, PT. BNI Syariah, and PT. Bank Mandiri Syariah. The data analysis technique uses financial ratios and Sharia Conformity and Profitability (SCP) as measured by indicators of sharia conformity and profitability. The results showed that PT. BRI Syariah, Tbk in 2017, 2018, and 2019 based on the RGEC method, respectively, were at a composite rank of 3, while in the SCnP Model, each PT. BRI Syariah, Tbk is in the LLQ, LRQ, and LRQ quadrants. For PT. BNI Syariah in 2017, 2018, and 2019 based on the RGEC method was ranked 2, 2, and 1, respectively, while in the SCnP Model, PT. BNI Syariah is in the ULQ, ULQ, and URQ quadrants. Then PT. Bank Syariah Mandiri in 2017, 2018, and 2019 based on the RGEC method was respectively ranked 2, 2, and 1, while in the SCnP Model, PT. Mandiri Syariah Bank is in the next LLQ, LRQ, and URQ quadrants.


Author(s):  
Osama Salah ◽  
Maged Georgy ◽  
Atef Ragab

Financial Ratio Analysis is considered one of the most fundamental ways of evaluating performance in companies. Analysis of major financial ratios of a company can help decision-makers take early business decisions/actions that could prevent, or at least alleviate, the potential hardships in the future. This paper reviews the literature and shows that various financial models have been developed in the past to evaluate an organization’s financial performance. The paper further proposes to upgrade and extend the resources used for financial performance evaluation through employing advanced artificial intelligence (AI) techniques, with application onto Egyptian construction companies. Research methodology included the gathering of a large number of financial reports/data items from relevant companies. Six major financial ratios were determined over a number of years, based on the consolidated financial accounts and income statements. These ratios include Current Ratio, Quick Ratio, Return on Equity, and others. The use of Machine Learning (ML) techniques is then investigated to analyze those ratios and to develop a financial performance evaluation model. K-means, as an un-supervised ML technique, was utilized to cluster the collected data set into three major groups. Each group has its own unique financial characteristics. Finally, future study measures are discussed where case studies will be used to verify and explain the findings.


Sign in / Sign up

Export Citation Format

Share Document