Showing 7 results for Investment
F. Sanati , S.m. Seyedhoseini,
Volume 19, Issue 1 (3-2008)
Abstract
Abstract: At the last decade of the 20th century, Womack et. Al introduced Lean concept to the industrial world. Since 1990 up to now, existed studies mostly have focused on lean production in the step of manufacturing, but in this research leanness concept has developed in the plant life cycle. In this paper leanness concept will be described as elimination of wastes in the phases of investment, plant design & construction(hardware), organization & systems design (software) and these three steps will be added to, elimination of previously described seven wastes in production step. For this purpose at first, the types of wastes in the above mentioned phases are defined by using Axiomatic Design methodology. After defining the types of wastes, a model for assessment of leanness is submitted. In this quantitative model, amount of leanness in each phase will be determined and combined to make a unique measure for total leanness. Dimensions of leanness are shown for quick understanding, by using a spider diagram. In the last section of the paper, the results of an example of the application of this model in fan industry are brought. This example shows the simplicity and powerfully of the model to determine the leanness in before production phases. © 2008 Authors all rights reserved.
Farzad R Sanati, Seyed M. Seyed Hosseini,
Volume 19, Issue 1 (3-2008)
Abstract
At the last decade of the 20th century, Womack et. Al introduced Lean concept to the industrial world. Since 1990 up to now, existed studies mostly have focused on lean production in the step of manufacturing, but in this research leanness concept has developed in the plant life cycle. In this paper leanness concept will be described as elimination of wastes in the phases of investment, plant design & construction(hardware), organization & systems design (software) and these three steps will be added to, elimination of previously described seven wastes in production step. For this purpose at first, the types of wastes in the above mentioned phases are defined by using Axiomatic Design methodology. After defining the types of wastes, a model for assessment of leanness is submitted. In this quantitative model, amount of leanness in each phase will be determined and combined to make a unique measure for total leanness. Dimensions of leanness are shown for quick understanding, by using a spider diagram. In the last section of the paper, the results of an example of the application of this model in fan industry are brought. This example shows the simplicity and powerfully of the model to determine the leanness in before production phases. © 2008 Authors all rights reserved.
Seyed Babak Ebrahimi, Seyed Morteza Emadi,
Volume 27, Issue 4 (12-2016)
Abstract
Empirical studies show that there is stronger dependency between large losses than large profit in financial market, which undermine the performance of using symmetric distribution for modeling these asymmetric. That is why the assuming normal joint distribution of returns is not suitable because of considering the linier dependence, and can be lead to inappropriate estimate of VaR. Copula theory is basic tool for multivariate modeling, which is defined by using marginal and dependencies between variables joint distribution function. In addition, Copulas are able to explain and describe of complex multiple dependencies structures such as non-linear dependence. Therefore, in this study, by combining symmetric and asymmetric GARCH model for modeling the marginal distribution of variables and Copula functions for modeling financial data and also use of DCC model to determine the dynamic correlation structure between assets, try to estimate the Value at Risk of investment portfolio consists of five active index In Tehran Stock Exchange. The results demonstrate excellence of GJR-GARCH(1,1) with the distribution of t-student for marginal distribution. t-Copula model, estimates the Value at Risk model less than the Gaussian Copula in all cases.
Arezoo Jahani, Parastoo Mohammadi, Hamid Mashreghi,
Volume 29, Issue 2 (6-2018)
Abstract
Innovation & Prosperity Fund (IPfund) in Iran as a governmental organization aims to develop new technology-based firms (NTBF) by its available resources through financing these firms. The innovative projects which refer to IPfund for financing are in a stage which can receive both fixed rate facilities and partnership in the projects, i.e. profit loss sharing (PLS). Since this fund must protect its initial and real value of its capital against inflation rate, therefore, this study aims to examine the suitable financing methods with considering risk. For this purpose we study on risk assessment models to see how to use risk adjusted net present value for knowledge based projects. On this basis, the NPV of a project has been analyzed by taking into account the risk variables (sales revenue and the cost of fixed investment) and using Monte Carlo simulation. The results indicate that in most cases for a project, the risk adjusted NPV in partnership scenario is more than the other scenario. In addition to, partnership in projects which demand for industrial production facilities is preferable for the IPfund than projects calling for working capital.
Kaminskyi Andrii, Nehrey Maryna, Komar Mariana,
Volume 31, Issue 4 (11-2020)
Abstract
The aim of the paper is to present a complex risk analysis of investing in agriculture Exchange Trade Funds (ETFs). The specific characteristics of agricultural investments should be taken into account as from the direct financial investments into agricultural ETFs, as for the general portfolio approach applying. To achieve the objectives of the work, the authors structured agriculture ETFs into 6 classes, which represent different types of ETFs. A special sample of 26 agricultural ETFs was formed. A complex risk analysis consisted of applying 5 different conceptual approaches to measuring investment risk. In particular, approaches based on measuring variability, applying the concept of Value-at-Risk are applied. The approach of estimating the shocks of changes in the profitability of the asset class in question is applied. The risk level in the aspect of sensitivity to changes in stock returns, bonds and the uncertainty index EPU is investigated. Built portfolios with minimal risk. Obtained results can be applied for investment decisions
Y Aleskerova , Zoia Titenko , H Skrypnyk , O Grytsyna ,
Volume 31, Issue 4 (11-2020)
Abstract
The relevance of the research topic is due to the fact that in the current economic conditions attracting additional investments will ensure the further development of the agricultural sector of the economy. The purpose of the article is to establish a close link between investment attraction and increased agricultural output.
Positive dynamics were found as a result of the analysis of the dynamics of investments in fixed assets in the agricultural sector during the analyzed period, but their fluctuations by years are observed due to the influence of factors of the external and internal environment.
Scientific methods were used in the research process: modeling - to build an investment model for the development of the agricultural sector of the economy; economic and statistical - to assess the dynamics of capital investment; analysis and synthesis - to find out the reasons that cause changes in capital investment.
Results of the research. The result of the study is clearly identified trends in attracting investment in the agricultural sector of Ukraine. The analysis of investment attractiveness on the basis of neoclassical Cobb-Douglas production function is carried out. The obtained model made it possible to predict the volume of production based on the expected values of capital and labor.
Inna Irtyshcheva, Yevheniya Boiko, Olena Pavlenko, Iryna Kramarenko, Kseniia Chumakova, Natalia Hryshyna, Olena Ishchenko, Anastasiia Zubko,
Volume 34, Issue 1 (3-2023)
Abstract
The research is devoted to the theoretical and applied
organizational bases to held of the comparative analysis of the economic development of the regions of the Black Sea region. The main purpose of the article is the process of comparative
analysis of economic development of the Black Sea region. The article tests the authors' hypothesis about the adequacy of the indicators defined for evaluation through the proposed number of relative indicators, which in the complex will characterize the achievements of the region in ensuring the economic stability of the regional system, quality of transformation processes and indirectly the conditions created by public authorities for economic development. There is confirmed the dependence of the use of the proposed methodological approaches and the constructed comparative profile of the regions of the region, which can be useful for identifying the strengths and weaknesses of the region, outlining key issues and developing regional development plans and programs. It is determined that the largest vector length in the Mykolaivska region, which indicates that in the region on a number of economic indicators achieved higher results than in other regions of the Black Sea region and on average in other regions of Ukraine during the study period.
