• Title/Summary/Keyword: Investment Effect Analysis

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Financial Ratio, Macro Economy, and Investment Risk on Sharia Stock Return

  • WIDAGDO, Bambang;JIHADI, M.;BACHITAR, Yanuar;SAFITRI, Oky Ervina;SINGH, Sanju Kumar
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.919-926
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    • 2020
  • The purpose of this study is to analyze and test the effect of financial ratios and macroeconomics on Islamic stock returns listed in Jakarta Islamic Index (JII) other than to assess whether investment risk can be an intervening variable in this study. The type of research is explanatory in nature with a quantitative descriptive approach. The data used is based on secondary sources with a sample group of 29 companies listed on JII for a 5-year period ending 31 December 2018. The data obtained were analyzed by using SEM (Structural Equation Model) with AMOS (Analysis Moment of Structural) 21 program. The results of the study show that only financial ratios affect sharia stock returns and investment risk, while the mediation test found that investment risk does not act as a mediating variable between financial ratios and macroeconomics and Islamic stock return. These findings indicate that the role of the company's financial health is very important. Besides affecting the rate of return obtained, the company's financial health can also reflect the level of risk that investors will accept in the future. By improving financial performance properly, a company will have a positive impact on various interested parties and minimize the level of investor losses.

The Re-examination of the role of the Labor Relations Commission on Corporate Performance

  • LEE, Kwan-Su
    • The Journal of Industrial Distribution & Business
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    • v.11 no.9
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    • pp.25-35
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    • 2020
  • Purpose: The purpose of this study is to investigate how much continuous investment in human capital contributes to increasing labor productivity at not only individual companies but also at the national level, and causes fundamental as well as increases for labor-management conflicts. The current research aimed to empirically demonstrate the importance of human capital investment and furthermore, based on the effect of human resource investment on labor productivity, also re-examine the role of the Labor Commission as well. Research design, data, and methodology: This study was conducted by the Korea Information Service-Financial Accounting System (KIS-FAS) using representative panel data operated by countries to measure whether long-term investment in corporate human resources affects labor productivity. Results: Two distinctive summarized results of the analysis in the Korea Credit Ratings data showed that there was a high positive correlation between corporate human resource investment and economic performance for a ten-year period from 2009 to 2018. Conclusions: The present study concluded that the role of the labor committee should be effectively formed by the labor as a mediation agency and that the role of the mediation committee members should focus more on how to strengthen the human resources management of the union.

Maternal Employment and Time Investment in High School Children's Career (기혼여성의 취업과 고등학생 자녀의 진로에 대한 시간투자)

  • Jung, Jin Hwa;Lee, Kyung Hee
    • Journal of Labour Economics
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    • v.31 no.1
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    • pp.135-162
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    • 2008
  • This paper analyzes the impact of the mother's employment on her time investment in children's career decisions. Parental conversations with high school children and the parents' effects on children's career decisions are used as the proxies for the quantity and quality of time investment, respectively. For the empirical analysis, IV ordered-probit regressions are fitted to the KLIPS data. Other things being equal, the mother's employment does not cast any statistically significant impact on the quantity and quality of time input for children in high school. The effect of mother's employment on her time investment in children is positive for professional jobs while negative for nonprofessional jobs, but both lack the weight of statistical significance.

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An Empirical Analysis on the Spillover Effects of R&D Investment in the ICT industry (ICT 산업의 R&D 투자가 타 산업에 미치는 파급효과 측정)

  • Jung, Woo-Jin;Kim, Hyunsuk;Cho, Shin
    • Knowledge Management Research
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    • v.20 no.1
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    • pp.27-43
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    • 2019
  • This paper examines spillover effects of R&D investment in the ICT industry to other industries by analyzing panel data composed of 6 manufacturing industries for the period of 1983~2011. Major findings are as follows; (1) The increase of R&D investment in ICT industry has a significantly positive relationship with the increase in the value-added of the remaining 5 industries with 3~10 year lags, depending on the source of R&D funds and R&D stage. (2) More specifically, public R&D shows the spillover effects during 3~7-year lag periods, whereas private R&D started to exert spillover effects from 9-year lag. The result implies that the public R&D appropriately targets projects with more spillover effects. (3) Basic research, applied research, and development showed the spillover effects for the period of 9~10, 7~10, and 10-year lag, respectively. (4) The R&D investment in 5 other industries such as machinery, chemicals, and materials does not have positive spillover effects to the remaining industries. Few studies have been done to analyze the R&D spillover effects to other industries, with certain limitations. This study contributes to the existing literature by analyzing the spillover effects of the different R&D funds and R&D stages, and by considering various time-lag effects.

The Relationship between Foreign Direct Investment and Local Economic Growth: A Case Study of Binh Dinh Province, Vietnam

  • LE, Bao;NGO, Thi Thanh Thuy;NGUYEN, Ngoc Tien;NGUYEN, Duy Thuc
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.33-42
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    • 2021
  • This study aims to investigate the relationship between foreign direct investment (FDI) and economic growth at the provincial level by using time-series data in Binh Dinh from 1997 to 2019. We applied the quantitative approaches Vector Autoregression (VAR) and Autoregressive Distributed Lags (ARDL) in the model, which includes economic growth, real foreign direct investment capital, ratio of trained workers, and infrastructure. The results show that all these variables are stationary at the first difference. In ARDL analysis, we found that the economic growth positively affects FDI attraction. However, there is no evidence of the effect of FDI on economic growth in the condition of low capital implemented. Moreover, findings also show that the impact of FDI on economic growth is influenced by two factors: infrastructure and human capital. The lack of human capital, which is trained personnel and infrastructure, is the main barrier hindering and inhibiting FDI's contribution to local economic growth. In order to improve the efficiency of FDI on economic growth in the future, it is suggested that the Binh Dinh government should have proper policies in terms of the infrastructure, the human capital investment. They would allow Binh Dinh to enhance the capital absorptive capacity and capital efficiency.

Distribution of Competitiveness and Foreign Direct Investment using Autoregressive Distributed Lag Model

  • PHAM, Huong Thi Thu;PHAM, Nga Thi
    • Journal of Distribution Science
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    • v.20 no.8
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    • pp.1-8
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    • 2022
  • Purpose: Research on attracting foreign direct investment (FDI) plays an important role in helping provinces attract more FDI projects. However, with local competition, FDI enterprises also have to consider their investment. This study evaluates the provincial competitiveness to attract FDI in Thai Nguyen province, a province of Vietnam. In which provincial distribution of competitiveness is measured through nine indicators. Research design, data, and methodology: The study collects data (FDI and the provincial competitiveness index) from 2006 to 2020. The study uses Autoregressive Distributed Lag (ARDL) to text the impact of distribution of competitivenes on foreign direct investment. With time-series, the ARDL is suitable for data analysis. Results: The regression results indicate that the competition index of market entry and informal costs negatively impact attracting FDI into the province; The human resource training quality index has a positive effect on FDI. The results show that FDI enterprises pay much attention to business establishment procedures, hidden costs, and quality of human resources in the province. Conclusions: At the same time, in terms of practice, the results of this study, the authors also offer solutions to help improve the ability to attract FDI into Thai Nguyen province. The significant provincial competitiveness indicators should be taken into account for improvement first.

How Do Green Investment, Corporate Social Responsibility Disclosure, and Social Collaborative Initiatives Drive Firm's Distribution Performance?

  • PAMBUDI, Widiatmaka. F;DIAN, Wahdiana;Suherman, Suherman;LEONARDUS, Samodro Bintang A.M;Sukrisno, Sukrisno
    • Journal of Distribution Science
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    • v.20 no.4
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    • pp.51-63
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    • 2022
  • Purposes: The purpose of this study is to develop and test a possible model that investigates the relationships between green investment, CSR disclosure, social collaboration initiatives, and firm distribution performance to deal with environmental change because it's become the major stakeholder since it affects increasingly global company performance index. Research methodology: In this study a quantitative method was adopted. The 220 respondents were owners and managers of manufacturing enterprises from Indonesia. The structural equation model (SEM) was used to test the hypotheses, and the Partial Least Square (SmartPLS) was used as the data analysis tool. Findings: The study's finding shows that green investment has a significant effect on CSR disclosure, and CSR disclosure has a positive relationship with social collaborative initiatives and the firm's distribution performance. Similarly, social collaborative initiatives also significantly impact a firm's distribution performance. Limitations: This study uses variables that are still abstract and have not been able to regress the dimensions contained there into conclusion variables for each antecedent variable. In addition, this study only used a sample with a small scope, namely Central Java Province, Indonesia. Contribution: The findings of this study contribute to the body of literature in the field of organizational management and support the agency and stakeholder theories. For the practical contribution, this study provides the way to build and implement green-based investment strategies as a competitive edge and improve firm's distribution performance.

A Case Study on the Economic Analysis for a New Technology-Based Ventilation System Using LCC Technique (LCC기법을 이용한 신기술 환기시스템의 경제성 분석에 관한 사례연구)

  • Choi, Hyun-Keun;Hwang, Seong-Su;Kim, Yong-Su
    • Journal of the Korea Institute of Building Construction
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    • v.4 no.4
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    • pp.143-150
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    • 2004
  • The purpose of this study is to assess economic effects for a new technology-based ventilation system. The study has been performed using LCC technique for the economic analysis. Data for LCC analysis are collected from estimation and interview of estimators and maintenance experts of buildings. Based on the LCC analysis, the economic effect of a new technology-based ventilation system has been predicted as follows: for the investment during 15 years of study period, (1) return rate for the investment is 9.3 times. (2) 7.3% of LCC saving is predicted.

Correlation Between the Relaxation of South Korea's Capital Market Separation Law and Changes in CVC Investment Types (한국의 금산분리법 완화와 CVC 투자유형 변화 간의 상관관계 논증)

  • Lee, Ki-ho;Lee, Sang-myung
    • Journal of Venture Innovation
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    • v.6 no.3
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    • pp.61-72
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    • 2023
  • In December 2020, the Fair Trade Act related to South Korea's separation of industrial capital was amended, and it was announced that the amendments would come into effect one year later, on December 30, 2021. The amendment's content involved breaking the previous principle of separating industrial capital from financial market penetration, allowing for the ownership of shares in general holding companies, small business startup investment companies, and technology business finance specialist companies. While the previous law was based on total issued shares' ownership, there were fluctuations in the subsequent trends of annual establishment and investment counts, as well as strategic investment counts of CVC (Corporate Venture Capital) before and after the law's amendment. CVC and IVC (Independent Venture Capital) are characterized differently based on their investment purposes, fund management types, and investment types. In this regard, the relaxation of the separation of industrial capital law is expected to have a positive impact on the future of the venture investment ecosystem and innovation ecosystem. In this study, we analyze the trends in the establishment count, investment count, and strategic investment count of domestic CVC from 2018, before the law amendment, to May 2023. Using 2021, the year the amended separation of industrial capital law was implemented, as a reference point, we examine changes in the trend. The analysis results indicate a significant increase in domestic CVC in 2021 compared to the previous year, along with an increase in investment counts, strategic investment counts, and the amount of investment in strategic investments. Based on these findings, this study suggests directions for further research related to future domestic CVC investment, strategic investment, and the activation of the venture investment market.

Game Theoretic Optimization of Investment Portfolio Considering the Performance of Information Security Countermeasure (정보보호 대책의 성능을 고려한 투자 포트폴리오의 게임 이론적 최적화)

  • Lee, Sang-Hoon;Kim, Tae-Sung
    • Journal of Intelligence and Information Systems
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    • v.26 no.3
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    • pp.37-50
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    • 2020
  • Information security has become an important issue in the world. Various information and communication technologies, such as the Internet of Things, big data, cloud, and artificial intelligence, are developing, and the need for information security is increasing. Although the necessity of information security is expanding according to the development of information and communication technology, interest in information security investment is insufficient. In general, measuring the effect of information security investment is difficult, so appropriate investment is not being practice, and organizations are decreasing their information security investment. In addition, since the types and specification of information security measures are diverse, it is difficult to compare and evaluate the information security countermeasures objectively, and there is a lack of decision-making methods about information security investment. To develop the organization, policies and decisions related to information security are essential, and measuring the effect of information security investment is necessary. Therefore, this study proposes a method of constructing an investment portfolio for information security measures using game theory and derives an optimal defence probability. Using the two-person game model, the information security manager and the attacker are assumed to be the game players, and the information security countermeasures and information security threats are assumed as the strategy of the players, respectively. A zero-sum game that the sum of the players' payoffs is zero is assumed, and we derive a solution of a mixed strategy game in which a strategy is selected according to probability distribution among strategies. In the real world, there are various types of information security threats exist, so multiple information security measures should be considered to maintain the appropriate information security level of information systems. We assume that the defence ratio of the information security countermeasures is known, and we derive the optimal solution of the mixed strategy game using linear programming. The contributions of this study are as follows. First, we conduct analysis using real performance data of information security measures. Information security managers of organizations can use the methodology suggested in this study to make practical decisions when establishing investment portfolio for information security countermeasures. Second, the investment weight of information security countermeasures is derived. Since we derive the weight of each information security measure, not just whether or not information security measures have been invested, it is easy to construct an information security investment portfolio in a situation where investment decisions need to be made in consideration of a number of information security countermeasures. Finally, it is possible to find the optimal defence probability after constructing an investment portfolio of information security countermeasures. The information security managers of organizations can measure the specific investment effect by drawing out information security countermeasures that fit the organization's information security investment budget. Also, numerical examples are presented and computational results are analyzed. Based on the performance of various information security countermeasures: Firewall, IPS, and Antivirus, data related to information security measures are collected to construct a portfolio of information security countermeasures. The defence ratio of the information security countermeasures is created using a uniform distribution, and a coverage of performance is derived based on the report of each information security countermeasure. According to numerical examples that considered Firewall, IPS, and Antivirus as information security countermeasures, the investment weights of Firewall, IPS, and Antivirus are optimized to 60.74%, 39.26%, and 0%, respectively. The result shows that the defence probability of the organization is maximized to 83.87%. When the methodology and examples of this study are used in practice, information security managers can consider various types of information security measures, and the appropriate investment level of each measure can be reflected in the organization's budget.