scholarly journals Ranking the Return on Assets of Tehran Stock Exchange by New Method Based on Z-numbers Data

Author(s):  
Maryam Farzam ◽  
Mozhdeh Afshar kermani ◽  
Tofigh Allahviranloo

Abstract Since real-world data is often inaccurate and working with fuzzy data and Z-numbers are very important and necessary, in the real world we need to rank and compare data. In this paper, we introduce a new method for ranking Z-numbers. This ranking algorithm is based on centroid point.We evaluate distance between centroid point, and based on this distance, we rank the Z-numbers.We use this method in two practical examples. First in ranking the return on assets of Tehran stock exchange, and second, in ranking of factors affecting the productivity of tourism security.The advantage of this method over conventional fuzzy methods is considering uncertainty, and allocating credit in the opinion of experts to estimate fuzzy parameters.

2017 ◽  
Vol 9 (1) ◽  
pp. 54 ◽  
Author(s):  
Nazish Bibi ◽  
Shehla Amjad

The purpose of this paper is to investigate the relationship between firm’s liquidity and profitability; and to find out the effects of different components of liquidity on firms’ profitability.The relationship between liquidity and firms’ profitability is empirically examined by collecting the data of 50 listed firms of Karachi Stock Exchange, Pakistan. Panel data has been collected from secondary sources for the year 2007 to 2011 .Net operating income and Return on assets are used measure of firm’s profitability. Liquidity of the firm is measured by using cash gap in days and current ratio. Firm size measured by net sales, total assets and market capitalization .The study applies regression analysis to determine factors affecting profitability. Incremental tests are carried out to see the importance of individual variables in the model.The results of correlation and regression analysis showed that there is a significant negative relationship between cash gap and return on assets while current ratio has significant positive relationship with profitability. Results further indicate that log of sales and log of total assets has positive significant relationship with profitability. The findings of this study are based on firms listed on the Karachi Stock Exchange (KSE). Hence, the results cannot be generalizable to those firms which are not listed on Karachi stock exchange. The sample of the study comprises only the merchandising and manufacturing firms. Banks are excluded due to their nature of work.


2018 ◽  
Vol 9 (3) ◽  
pp. 219-225
Author(s):  
Kartika Dewi

The purpose of this research was to examine profitability factors in banking that affected income smoothing. Profit is the most important number for readers in making the economic decision. This research used probability factors that affected income smoothing in the bank. Probability ratio testing used Return on Assets (ROA), Return on Equity (ROE), Net Interest Margin (NIM), and Operating Expense Ratio (OER). The population was all banks listed in Indonesian Stock Exchange in 2010-2016. The sample was 203 data obtained through purposive judgment sampling. Using Logistic Binary Regression from SPSS version 20, Eckel Index was used to determine which companies smooth its income. The result shows that ROA, NIM, and OER are significant to income smoothing. However, ROE does not affect income smoothing significantly.


2018 ◽  
Vol 24 (3) ◽  
pp. 984-1003 ◽  
Author(s):  
Aistis RAUDYS ◽  
Židrina PABARŠKAITĖ

Smoothing time series allows removing noise. Moving averages are used in finance to smooth stock price series and forecast trend direction. We propose optimised custom moving average that is the most suitable for stock time series smoothing. Suitability criteria are defined by smoothness and accuracy. Previous research focused only on one of the two criteria in isolation. We define this as multi-criteria Pareto optimisation problem and compare the proposed method to the five most popular moving average methods on synthetic and real world stock data. The comparison was performed using unseen data. The new method outperforms other methods in 99.5% of cases on synthetic and in 91% on real world data. The method allows better time series smoothing with the same level of accuracy as traditional methods, or better accuracy with the same smoothness. Weights optimised on one stock are very similar to weights optimised for any other stock and can be used interchangeably. Traders can use the new method to detect trends earlier and increase the profitability of their strategies. The concept is also applicable to sensors, weather forecasting, and traffic prediction where both the smoothness and accuracy of the filtered signal are important.


2019 ◽  
Vol 15 (1) ◽  
pp. 36
Author(s):  
Dimas Puja Kuswara ◽  
Etty Puji Lestari ◽  
Tri Kurniawati Retnaningsih

Finding a determinant of profitability has become one of the most popular topics in banking research. Previous research has identified many factors that significantly influence bank profitability. There are also many studies that measure the effectiveness of sharia banking globally, but few analyze the profitability issues of sharia banks. This study aims to analyze the impact of factors affecting profitability in Islamic Banks listed on the Indonesia Stock Exchange. The method used is multiple linear regression analysis. The variables are return on assets as dependent variable and murabahah, musyarakah, mudharabah, branch office, cash office, and Automatic Teller Machine as independent variable. This study found that funding factors such as murabaha, musharaka and conventional and electronic networking factors such as Branch Office, Cash Office, and ATM had positive and significant impact on profitablity of Sharia Bank, while mudharabah had a negative and significant influence on profitablitas Sharia Bank. Sub-Branch Offices also had a negative but insignificant effect on the profitability of Sharia Banks. This result indicated that income on management became the most dominant income in generating profit of sharia banking. However, the management of funds could not work if not supported by Islamic banking channeling tools.


Author(s):  
Zejian Li ◽  
Yongchuan Tang ◽  
Wei Li ◽  
Yongxing He

Unsupervised disentangled representation learning is one of the foundational methods to learn interpretable factors in the data. Existing learning methods are based on the assumption that disentangled factors are mutually independent and incorporate this assumption with the evidence lower bound. However, our experiment reveals that factors in real-world data tend to be pairwise independent. Accordingly, we propose a new method based on a pairwise independence assumption to learn the disentangled representation. The evidence lower bound implicitly encourages mutual independence of latent codes so it is too strong for our assumption. Therefore, we introduce another lower bound in our method. Extensive experiments show that our proposed method gives competitive performances as compared with other state-of-the-art methods.


2019 ◽  
Vol 14 (7) ◽  
pp. 149
Author(s):  
Abdul Aziz Farid Saymeh ◽  
Rashed Mohamad Salameh

The research objective was to identify the determinants of services stock prices. Research community was represented by the service companies listed in Jordan’s Amman Stock Exchange (ASE). The companies were selected to whose shares continued trading during the study period (2010-2015). The study sample was composed of (27) shareholding companies which were listed on the Amman Stock Exchange (ASE) during the afore mentioned period. The study results revealed that there was a significant impact of the factors selected such as: profits (distributed profits, return on assets and net cash flows from operations) on the market value of service companies share prices listed on ASE. The study recommended that further studies ought to be conducted to specify the factors that might affect the market value of listed companies’ shares.


2017 ◽  
Vol 13 (2) ◽  
pp. 93
Author(s):  
Wito Wito

<p>This research aims to analyze the influence of the non-performing loan, loan to deposit ratio, operational efficiency ratio, capital adequacy ratio and firm size on return on assets banking company listed on the Indonesia stock exchange during the period 2008-2011.</p><p>The Sample used in this study is as much as 23 companies, whereas the methods of analysis used is multiple regression based on ordinary least square (OLS)</p><p>The results showed that based on the test-t, it can be inferred that the non-performing loan, the operational efficiency ratio and firm size effect significantly to profitability (as measured by return on assets). While the loan to deposit ratio and capital adequacy ratio was not significant effect of the return on asset banking company. In the meantime, based on test-F all independent variables influence significantly to return on asset banking company listed on the Indonesia stock exchange period 2008-2011</p>


2019 ◽  
Vol 15 (1) ◽  
pp. 36-45
Author(s):  
Dimas Puja Kuswara ◽  
Etty Puji Lestari ◽  
Tri Kurniawati Retnaningsih

Finding a determinant of profitability has become one of the most popular topics in banking research. Previous research has identified many factors that significantly influence bank profitability. There are also many studies that measure the effectiveness of sharia banking globally, but few analyze the profitability issues of sharia banks. This study aims to analyze the impact of factors affecting profitability in Islamic Banks listed on the Indonesia Stock Exchange. The method used is multiple linear regression analysis. The variables are return on assets as dependent variable and murabahah, musyarakah, mudharabah, branch office, cash office, and Automatic Teller Machine as independent variable. This study found that funding factors such as murabaha, musharaka and conventional and electronic networking factors such as Branch Office, Cash Office, and ATM had positive and significant impact on profitablity of Sharia Bank, while mudharabah had a negative and significant influence on profitablitas Sharia Bank. Sub-Branch Offices also had a negative but insignificant effect on the profitability of Sharia Banks. This result indicated that income on management became the most dominant income in generating profit of sharia banking. However, the management of funds could not work if not supported by Islamic banking channeling tools.


Author(s):  
Arif Rakhman ◽  
Heikal Muhammad Zakaria ◽  
Gusganda Suria Manda

The objective of this research is to examine factors affecting return on assets such as cash turnover and account receivable turnover of food and beverage firm listed in Indonesia Stock Exchange. Source of data used in this study is financial statements as secondary data based on purposive sampling technique. The results showed that cash turnover does not significantly influence return on assets, this is because the value of t count is 0.558 greater than t table 2.030 so that H0 is rejected. And then, account receivable turnover significantly influence return on assets, this is based on the value of t count 5.659 is greater than t table 2.030 so H0 is accepted. And the last, The output of ANOVA results shows that the F count obtained from the variable cash turnover and accounts receivable turnover is 16.016 greater than F table 2.830 so that H0 is accepted. These results mean that there is a significant influence between cash turnover and receivable turnover on profitability in food and beverages companies listed on the Indonesian stock exchange. Based on the results, we can conclude that partially account receivable turnover was factor affecting return on assets and simultaneously cash turnover and account receivable turnover affect return on assets.


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