scholarly journals Measuring the performance of accepted investment companies in Tehran’s stock exchange by value efficiency analysis

2014 ◽  
Vol 4 (6) ◽  
pp. 1229-1232 ◽  
Author(s):  
Maryam Shabani ◽  
Naser Shams
2021 ◽  
Vol 4 (2) ◽  
pp. 381-390
Author(s):  
Annisa Nauli Sinaga ◽  
Citra William ◽  
Tiffanny Meiluartha ◽  
Alviana Celia Jansen

The development of companies nowadays have been growing rapidly and causing intense competition in the market.  Trade, service, and investment sector companies are emerging in Indonesia. Thus, this study aims to identify the impact of current ratio, inventory turnover, debt to asset ratio, growth and size  towards firm’s profitability in Trade, Service, and Investment Companies Listed in Indonesia Stock Exchange (IDX) from year 2016-2019. The research type of this study is quantitative method.  The data is classified as quantitative and ratio scale. This study uses secondary data. The population for this study is 154 trade, service, and investment sector companies listed in Indonesia Stock Exchange (IDX) from year 2016-2019. The sample for this study is 65 trade, service, and investment sector companies listed in Indonesia Stock Exchange (IDX) from year 2016-2019 using observational sampling method. The model of this study is multiple linear regression.  The result of this study shows that current ratio, inventory turnover, debt to asset ratio, growth and size partially and simulteneously do not affect firm’s profitability in Trade, Service, and Investment Companies Listed in Indonesia Stock Exchange (IDX) from year 2016-2019. Keywords : Current Ratio, Inventory Turnover, Debt To Asset Ratio, Growth, Size dan Profitability


2005 ◽  
Vol 34 (2) ◽  
pp. 185-203 ◽  
Author(s):  
Elizabeth Marshall ◽  
James Shortle

In this study we use data envelopment analysis (DEA) and an extension of DEA called value efficiency analysis (VEA) to explore the “production” of quality of life within counties in the mid-Atlantic region and the extent to which production frontiers and efficiency differ between rural and urban counties. These methods allow us to identify counties that are inefficient in their quality of life production, and to rank (using DEA) those counties according to their distance from a performance standard established by other observed counties, or (using VEA) by a single unit designated as “most preferred.”


2018 ◽  
Vol 9 (2) ◽  
pp. 225-244
Author(s):  
Tomasz L. Nawrocki

Research background: Since the Internet bubble, which took place at the turn of XX and XXI century, on the global capital markets, including Poland, one may note a growing interest in companies focusing on innovations and innovativeness. The main driver of this interest is the belief that in a longer term innovations and expenditures on research and development will translate into an increase in competitive advantage, financial results, and subsequently also the market value of companies. On the other hand, the attention should also be paid to the fact that innovative activity has also another, darker, side, which is identified with the far-reaching uncertainty about its final effects and the possibility of incurring losses, especially in financial dimension. At the same time, it should be noted that implementation of investment strategy regarding the shares of innovative companies is quite troublesome because of the lack of unified methodology for assessing corporate innovativeness and large information diversity in this area. Purpose of the article: The investment efficiency analysis of investment strategy regarding shares of companies perceived to be innovative with simultaneous focusing on the different cases of situation development in time. Methods: The research was carried out for companies listed on the main market of the Warsaw Stock Exchange, taking into consideration various time ranges of investment. The efficiency analysis of this investment strategy was conducted in the risk-return outlay with the use of such measures as: accumulated rate of return, arithmetic average rate of return, standard and semi-standard deviation, as well as coefficients of variation and semi-variation of rate of return and their inverses. Findings & Value added: The obtained results show that in shorter periods of time, inves-tors buy expectations connected with innovative companies and therefore, the efficiency of investment in their shares is relatively high, but in the longer term expectations are revised by companies’ financial results, which in turn often negatively affects the investment efficiency.


2017 ◽  
Vol 39 (5) ◽  
pp. 623
Author(s):  
Paulo Rotela Junior ◽  
Luiz Célio Souza Rocha ◽  
Giancarlo Aquila ◽  
Edson De Oliveira Pamplona ◽  
Pedro Paulo Balestrassi ◽  
...  

The objective of this paper is to present a proposal to form robust portfolios using a stochastic efficiency analysis of assets from companies in the Sao Paulo Stock Exchange, focusing on the worst market state. In order to do this, information about the market in all of its phases and information from low market periods were employed in a stochastic efficiency analysis using the Chance Constrained Data Envelopment Analysis method, along with a Hierarchical Clustering approach. Then, the portfolios underwent a capital allocation model to obtain the ideal participation of each share. The portfolios formed in both scenarios were analyzed and compared. The joint application of the approaches supplied with information about the worst market state was able to form robust portfolios that lead to a higher accumulated return in the validation period than portfolios optimized from information about the entire period, and still resulted in portfolios with smaller beta values. 


2020 ◽  
Vol 12 (2) ◽  
pp. 200-209
Author(s):  
Giovanni Giovanni ◽  
Setyarini Santosa

The objective of this research is to examine the influence of intellectual capital and intangible assets toward firm value. The use of intellectual capital and intangible assets in this research is very interesting because they represent the similar idea, the ability to generate future benefit. However, intellectual capital is not represented in the presentation of financial statement directly, while the intangible asset is presented in the financial statement. The samples are taken from the trade, service, and investment companies classification which are listed in Indonesia Stock Exchange in from 2015 until 2018. Using the purposive sampling, there are 27 companies put as data for the multiple linear regression. The result of the research shows intellectual capital has positive significant relationship toward firm value, meanwhileintangible assets have negative significant relationship toward firm value. It means the lower intangible assets, the higher firm value is. This might be happened if the company cannot utilize the intangible asset optimally.


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