• Title/Summary/Keyword: Portfolio analysis

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Do Islamic Stock Markets Diversify the Financial Uncertainty Risk? Evidence from Selected Islamic Countries

  • AZIZ, Tariq;MARWAT, Jahanzeb;ZEESHAN, Asma;PARACHA, Yaser;AL-HADDAD, Lara
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.31-38
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    • 2021
  • The study investigates the diversification behavior of Islamic stocks against US financial uncertainty. Considering limitations found in the literature, a comprehensive index of financial uncertainty (FU) is used, developed by Jurado, Ludvigson, and Ng (2015). The empirical analysis uses monthly data from four Islamic markets - Saudi Arabia, Malaysia, Indonesia, and Turkey - for the period from January 2010 to September 2019. Results of the bivariate EGARCH models show that Islamic stocks can be used for diversification purpose against the financial uncertainty of the US because the volatility of US uncertainty does not propagate in the Islamic stock markets. Moreover, findings show that the spillover effect of financial uncertainty varies with the FU forecast horizon. The spillover effect of FU increases with an increase in the FU forecast horizon and becomes significant over 3-month and 12-month periods in the case of Saudi Arabia. The current volatility of Islamic stock returns is independent of the size of shocks in past volatility. The leverage effect and asymmetry have been found in Saudi Arabia and Malaysia. The findings validate the arguments of the literature that Islamic markets are resilient facing uncertainties and perform well during crisis periods. The findings are important for investors in making better portfolio decisions.

Estimation and Prediction of Financial Distress: Non-Financial Firms in Bursa Malaysia

  • HIONG, Hii King;JALIL, Muhammad Farhan;SENG, Andrew Tiong Hock
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.1-12
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    • 2021
  • Altman's Z-score is used to measure a company's financial health and to predict the probability that a company will collapse within 2 years. It is proven to be very accurate to forecast bankruptcy in a wide variety of contexts and markets. The goal of this study is to use Altman's Z-score model to forecast insolvency in non-financial publicly traded enterprises. Non-financial firms are a significant industry in Malaysia, and current trends of consolidation and long-term government subsidies make assessing the financial health of such businesses critical not just for the owners, but also for other stakeholders. The sample of this study includes 84 listed companies in the Kuala Lumpur Stock Exchange. Of the 84 companies, 52 are considered high risk, and 32 are considered low-risk companies. Secondary data for the analysis was gathered from chosen companies' financial reports. The findings of this study show that the Altman model may be used to forecast a company's financial collapse. It dispelled any reservations about the model's legitimacy and the utility of applying it to predict the likelihood of bankruptcy in a company. The findings of this study have significant consequences for investors, creditors, and corporate management. Portfolio managers may make better selections by not investing in companies that have proved to be in danger of failing if they understand the variables that contribute to corporate distress.

A Study on the Efficiency of the Foreign Exchange Markets: Evidence from Korea, Japan and China

  • Yoon, Il-Hyun;Kim, Yong-Min
    • Asia-Pacific Journal of Business
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    • v.11 no.1
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    • pp.61-75
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    • 2020
  • Purpose - The purpose of this study was to examine the efficiency of the foreign exchange markets in Korea, Japan and China. Design/methodology/approach - This study collected 1327 observations each of the daily closing exchange rates of the three currencies against the US dollar for the sample period from January 1, 2015 to January 31, 2020, based on the tests for autocorrelation, unit root tests and GARCH-M(1,1) model estimation. Findings - We have found that the autocorrelation test indicates the lack of autocorrelation and unit root test confirms the existence of unit roots in all times series of the three currencies, respectively. The GARCH-M(1,1) test results, however, suggest that the exchange rates do not follow a random walk process. In conclusion, the recent spot foreign exchange markets in Korea, Japan and China are believed to be informationally inefficient. Research implications or Originality - These findings have practical implications for both individual and institutional investors to be able to obtain excess returns on their investments in the foreign exchange markets in three countries by using appropriate risk management, portfolio strategy, technical analysis, etc. This study provides the first empirical examination on the foreign exchange market efficiency in the three biggest economies in Asia including China, which has been excluded from research due to its exchange rate regime.

The Contagion Effect from U.S. Stock Market to the Vietnamese and the Philippine Stock Markets: The Evidence of DCC - GARCH Model

  • LE, Thao Phan Thi Dieu;TRAN, Hieu Luong Minh
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.759-770
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    • 2021
  • Using a DCC - GARCH model analysis, this paper examines the existence of financial contagion from the U.S. stock market to the Vietnamese and the Philippine stock markets during the global financial crisis and the COVID-19 pandemic crisis. We use daily data from the S&P 500 (U.S.), VN-Index (Vietnam), and the PSEi (the Philippines). As a result, there is no evidence of contagion from the U.S stock market to the Philippine stock market that can be found during global financial crisis, while the Vietnamese market is influenced by this effect. Besides, both these developing stock markets (the Vietnamese and Philippine stock markets) are influenced by the contagion effect in COVID-19 pandemic crisis. Another finding is that the contagion effect during the coronavirus pandemic crisis in Vietnam is smaller than that during the global financial crisis, however, the opposite is the case for the Philippines. It is noticed that the Philippines seems to be more affected by the contagion effect from the COVID-19 pandemic than Vietnam at the time of this study. Because financial contagion is important for monetary policy, asset pricing, risk measurement, and portfolio allocation, the findings in this paper may give some useful information for policymakers and investors.

An Analysis of Policy Initiatives and Benefit Sharing Schemes to Support Floating Solar Power Plants (수상태양광 지원제도와 이익공유 방식 분석)

  • Ahn, Seunghyeok;Soh, Yoonmie;Ryu, Hojae;Lee, Hyoeun;Hwangbo, Eunyoung;Yun, Sun-Jin
    • New & Renewable Energy
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    • v.17 no.4
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    • pp.9-27
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    • 2021
  • Floating solar power markets are rapidly growing worldwide. The main policy instrument utilized to expand renewable energy use in foreign countries with many floating solar power installations is Feed-in-Tariffs (FITs). Foreign countries apply FIT to projects that have a secured grid connection, and lately, there has been a change in the direction of introducing or expanding auction systems. Vietnam and Taiwan give higher FIT to floating solar installations than land solar ones, and China, Vietnam, and Taiwan have higher FITs for certain regions. Compared to foreign countries where large-scale floating solar power installations have been installed, Korea has utilized Renewable Energy Certificate (REC) weights for residents' participation are provided additionally under the Renewable Portfolio Standard (RPS). In contrast to Korea, where residents' participation and benefit profit sharing are emphasized, the Netherlands provides opportunities for local residents to participate in floating solar power projects through cooperatives to improve the residents' acceptance.

Differentiated B2B Marketing Strategy of Dongwon Systems, the No.1 Packaging Solution Company in Korea

  • Jun, Mina;Kim, Sang Yong;Lee, Janghyuk;Koo, Kay Ryung
    • Asia Marketing Journal
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    • v.20 no.3
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    • pp.1-15
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    • 2018
  • Dongwon Systems established in 1977 to exclusively supply Dongwon tuna cans, the parent company. Instead of its stable management and profits by relying on the parent company, the company was not complacent and started innovating and challenging new markets. Dongwon Systems decided to expand the business area and pioneer new markets so that it becomes the first domestic company to successfully expand into independent businesses other than parent company products. Such success of Dongwon Systems was driven by its differentiated B2B strategies. Unlike the characteristics of usual B2B companies, Dongwon Systems has been thinking both of its client companies and end-consumers. In this case-study, we will explore how Dongwon Systems became the No.1 packaging solution company in Korea through technology innovation in the aspects of unique B2B marketing strategy. The key success factor can be summarized in three ways; product and technology development with customer centric mind-set, systematically extending new markets through business diversification, and marking Southeast Asia as a bridgehead for its global strategy. It is expected that the current case study of Dongwon Systems will be able to provide implications for B2C companies as well as B2B companies that try to expand their business portfolio and global business areas through B2B marketing case analysis.

A Study on Human-AI Collaboration Process to Support Evidence-Based National Innovation Monitoring: Case Study on Ministry of Oceans and Fisheries (Human-AI 협력 프로세스 기반의 증거기반 국가혁신 모니터링 연구: 해양수산부 사례)

  • Jung Sun Lim;Seoung Hun Bae;Kil-Ho Ryu;Sang-Gook Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.2
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    • pp.22-31
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    • 2023
  • Governments around the world are enacting laws mandating explainable traceability when using AI(Artificial Intelligence) to solve real-world problems. HAI(Human-Centric Artificial Intelligence) is an approach that induces human decision-making through Human-AI collaboration. This research presents a case study that implements the Human-AI collaboration to achieve explainable traceability in governmental data analysis. The Human-AI collaboration explored in this study performs AI inferences for generating labels, followed by AI interpretation to make results more explainable and traceable. The study utilized an example dataset from the Ministry of Oceans and Fisheries to reproduce the Human-AI collaboration process used in actual policy-making, in which the Ministry of Science and ICT utilized R&D PIE(R&D Platform for Investment and Evaluation) to build a government investment portfolio.

A Study of Management Strategies on CJ E&M, the Leading Firm in the Korean Media industry (국내 미디어 선도기업 경영전략 분석: CJ E&M을 중심으로)

  • Lee, Ji-Heon;Jung, Hoe-Kyung
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.41-47
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    • 2013
  • In circumstances that case studies of management strategy for the domestic media company were rare, this study was performed case analysis of CJ E&M, representative new media/contents company in Korea. An evolutionary perspective is applied to diversification of the business and the external environmental analysis/resource based view are applied to capability evaluation since the inauguration as analysis frameworks. Unlike other media companies, CJ E&M have increased synergies of scale through horizontal, vertical diversification and superior contents strategies. furthermore, there are many advantages of enthusiasm of the leadership, expertise, high human configuration, creative corporate culture, effective contents portfolio. However, it is necessary to note that too much emphasis on competition and the performance of the organization may make organizational atmosphere rigid and weaken the global competitiveness.

Study of Patents Trend Regarding Technology of Reaction for Sediment Disaster (토사재해 대응기술 분야의 특허동향 분석 연구)

  • Suk, Jae-Wook;Kim, Yong-Soo;Lee, Jong-Gun
    • Journal of the Korean Geosynthetics Society
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    • v.12 no.4
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    • pp.123-131
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    • 2013
  • The patents trends registered in korea, the USA, Japan and Europe were analyzed to forecast the direction of R&D for the technology of sediment disaster. As a result of portfolio analysis, the number of patents in Korea have continued to rise, but have been placed behind the other countries. The level of technology of each country was investigated. In the survey technology and sensing technology, the Korean and USA situations were classified as a period of growth, and the Japanese situation was classified as a period of decline. In the control technology and protection technology, Korean situation was classified as a period of growth, and the Japanese situation was classified as a period of decline. As a result of analysis for a direction of R&D using blank technologies, standardization of analysis technologies for mechanism, fusion techniques between ICT and conventional techniques, development of eco-friendly materials and evaluation of structure should be developed by R&D in Korea.

Economics Analysis of Photovoltaic Power Generation Linked with Green Roof in Consideration of Seoul Solar Map-based RPS (서울시 햇빛지도 기반의 RPS제도를 고려한 옥상녹화 연계 태양광발전 시스템의 경제성 분석)

  • Kim, Tae-Han;Lee, So-Dam;Park, Jeong-Hyeon
    • KIEAE Journal
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    • v.17 no.1
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    • pp.77-82
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    • 2017
  • In power supply systems for urban areas, issues such as a progressive tax have escalated recently. In this regard, photovoltaic power generation, which is appraised as an alternative power generation system, is drawing attention increasingly for its high stability and applicability to existing infrastructure. This study assessed the realistic feasibility of photovoltaic power generation and also analyzed the economic benefits expected when it is linked with green roof, which is likely to promote ecological functions in urban areas, based on the Seoul solar map, RPS, and actual monitoring data. The economics analysis of 30kW photovoltaic power generation applied with the monthly average horizontal solar radiation of six grades in the Seoul solar map showed that positive NPV was up to grade 4, while grade 5 or poorer showed negative NPV and indicated that it is difficult to assure appropriate feasibility. Compared with non-afforestation, when green roof was applied, monthly average power improvement efficiency was 7.2% at highest and 3.7% at lowest based on yearly actual monitoring data. The annual average was 5.3%, and the efficiency was high relatively in summer, including September and November. As for the economic benefits expected when 30kw photovoltaic power generation is combined with green roof based on the average horizontal solar radiation of grade 1 in the Seoul solar map, SP has improved 0.2 years to 7.4 years, and EP has improved 0.5 years to 8.3 years.