• Title/Summary/Keyword: Financial Analysis Index

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Analysis on the Efficiency and Productivity Change of Non-Life Insurance Industry between Pre-Execution and Post-Execution of Capital Market Law (자본시장통합법 시행 전후의 손해보험산업의 효율성 및 생산성 변화 분석)

  • Kang, Ho-Jung
    • The Journal of the Korea Contents Association
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    • v.11 no.12
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    • pp.403-412
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    • 2011
  • The execution of capital market law causes severe competition by promoting restructuring of financial industry. This study analyze efficiency and productivity change of the Korean Non-Life Insurance industry between pre-execution and pre-execution of capital market law using DEA model and Malmquist Index. Additionally, this study finds determinants of efficiency using tobit regression. The main results of this study can by summarized as follows. First, the efficiency with post-execution was increased comparing with pre-execution of capital market law significantly. Second, the productivity with post-execution was increased comparing with pre-execution of capital market law significantly. Third, significant determinants of technical efficiency and pure technical efficiency are weight of life planner. operation rate of assets respectively. And significant determinant of scale efficiency are firm size, operation rate of assets, weight of life planner.

Impact of Factors on community-level health-related Quality of Life: Community Unit Analysis (지역사회 건강관련 삶의 질에 영향을 미치는 요인: 지역사회 단위 분석)

  • Jeong, Yong-Rae;Hahm, Myung-Il;Min, In-Soon;Kang, Eunjeong
    • The Journal of the Korea Contents Association
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    • v.15 no.1
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    • pp.276-285
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    • 2015
  • The aim of this study was to identify the impact of community factors on the community-level Health-Related Quality of Life (HRQOL) in Korea. This was a cross-sectional study conducted in 2012 using secondary data(n=209) of the Korean Statistical Information Service. The framework was based on community factors provided by the International Council of Science (ICSU) and community factors were categorized based on six aspects. Multiple regression was applied to community factors depending on the community EQ-5D index. Smoking rate, "Good" self-rated health rate, water and wastewater coverage rate, and financial independency rate were significantly and positively associated with the EQ-5D score. Net migration rate(more move out than move in), obesity rate, unmet needed health care rate, and community type(rural than urban) were significantly and negatively associated with the EQ-5D score. This study identifies association for the impact of community factors on the community-level HRQOL and can provide useful evidence for development of community health promotion policies.

Impact of Inadequate Doses of Rituximab in the Treatment of Diffuse Large B Cell Lymphoma in Malaysian Patients

  • Gan, Gin Gin;Subramaniam, Rajaletchumy;Bee, Ping Chong;Chin, Edmund Fui Min;Abdul-Halim, Habibah;Tai, Mei Chee
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.4
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    • pp.1703-1706
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    • 2014
  • Background: The current standard treatment for patients with newly diagnosed diffuse large B cell lymphoma (DLBCL) is rituximab combined with cyclophosphamide, doxorubicin, vincristine and prednisolone (CHOP). A significant number of patients were not treated with recommended dose of rituximab due to limited financial resources in Malaysia. This study evaluates the efficacy of R-CHOP like chemotherapy in Malaysian patients with DLBCL. Materials and Methods: The study comprised a retrospective analysis of patients with DLBCL treated at a single centre. The outcome was compared with patients who were treated with R-CHOP like and CHOP like chemotherapy. Patients who were treated with lower dose of rituximab was subanalysed for outcome. Results: A total of 86 patients who had CHOP-like chemotherapy were included. Only 39 (45%) patients had rituximab and only 12 (29%) patients had the recommended dose. The overall response (OR) and complete response (CR) rates were 88% and 81% respectively. There was no significant difference in OR and CR in patients who had rituximab and those without rituxmab. Those with International Prognostic Index (IPI) score of ${\leq}2$ had significant higher CR rate, progression free survival (PFS) and overall survival (p<0.001). Conclusions: The lack of significant improvement in CR and DFS in our patients may be due to an inadequate dose of rituximab.

An Evaluation Model of IT Investment Effect (정보기술 투자 효과 평가방법에 관한 연구)

  • Kim, Lark Sang
    • Journal of Digital Convergence
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    • v.16 no.2
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    • pp.27-36
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    • 2018
  • Financial IT evaluation methods have been unable to satisfy firms' requirements. There has been a growing demand for more comprehensively and non-financially measuring the IT performance. We developed a process-based approach in evaluating impacts of IT on primary activities. In this research we proposed a model that uses the corporate objective of IT and strategic fitt as the core independent variables in measuring the IT effect. Based on the data collected from the management variables of the 125 companies located in Korea, the companies were classified into the 4 different groups according to their corporate objective for IT: un-oriented, operations oriented, market oriented and dual oriented. Through the empirical analysis, we were able to demonstrate that the management of the companies showing a higher orientation level perceives a better IT investment performance, and this shows that the corporate objective for IT serves as a useful index for measuring the IT investment effect. In this research, it was also demonstrated that the strategic alignment has a positive influence on perceiving the IT investment effect.

Investigation of Key Factors to measure on-site Performance of a Construction firm

  • Lee, Young-Dai;Kim, Jung-Ki;Acharya, Nirmal Kumar
    • Korean Journal of Construction Engineering and Management
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    • v.8 no.6
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    • pp.246-262
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    • 2007
  • The performance of projects has always been an area of interest in the construction industry. Roles of all construction supply chain partners are necessary; however the role of a contractor firm in the construction project is pivotal. So, this research intended to explore a Construction Firm's performance criteria which could measure the level of performance of that firm in an ongoing project. Data was collected from construction professionals working in three principal project participant organizations, namely Owner, Consultant and Contractor. A total of 113 nos. of performance measuring items were sorted from literature review and used to collect data. Statistical tools processed by SPSS program was employed to analyze the data. Out of total 113 items, only 65 nos. of variables were found to be acceptable to every population group of this study. Factor analysis revealed 12 key performance predicting factors (KPPF) with 53 predictive indicators. 12 KPPFS with index weight are: work progress and smoothening (9.3%), change order management and work accuracy (9.1%), business relationship building (8.1%), adequacy of construction work procedure (8.6%), quality performance (8.0%), health and site safety adequacy (8.8%), Innovative contractor (8.0%), adequacy of construction site information (6.8%), compliance with contract plan/specification requirements (8.9%), creditworthiness and financial capability (8.3%), intra-agency relationship and responsiveness (7.0%) and resource management (9.2%). These results could be useful to project management body to evaluate performance of its contractor firm on site as well as the contractor itself to assess own performance and its subcontractors on-site.

Development and Evaluation of a Portfolio Selection Model and Investment Algorithm in Foreign Exchange Market (외환 시장 포트폴리오 선정 모형과 투자 알고리즘 개발 및 성과평가)

  • Choi, Jaeho;Jung, Jongbin;Kim, Seongmoon
    • Journal of the Korean Operations Research and Management Science Society
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    • v.39 no.2
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    • pp.83-95
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    • 2014
  • In this paper, we develop a portfolio selection model that can be used to invest in markets with margin requirements such as the foreign exchange market. An investment algorithm to implement the proposed portfolio selection model based on objective historical data is also presented. We further conduct empirical analysis on the performance of a hypothetical investment in the foreign exchange market, using the proposed portfolio selection model and investment algorithm. Using 7 currency pairs that recorded the highest trading volume in the foreign exchange market during the most recent 10 years, we compare the performance of 1) the Dollar Index, 2) a 1/N Portfolio which equally allocates capital to all N assets considered for investment, and 3) a hypothetical investment portfolio selected and managed according to the portfolio selection model and investment algorithm proposed in this paper. Performance is compared in terms of accumulated returns and Sharpe ratios for the 10-year period from January 2003 to December 2012. The results show that the hypothetical investment portfolio outperforms both benchmarks, with superior performance especially during the period following financial crisis. Overall, this paper suggests that a mathematical approach for selecting and managing an optimal investment portfolio based on objective data can achieve outstanding performance in the foreign exchange market.

Determination of Pattern Models using a Convergence of Time-Series Data Conversion Technique for the Prediction of Financial Markets (금융시장 예측을 위한 시계열자료의 변환기법 융합을 이용한 패턴 모델 결정)

  • Jeon, Jin-Ho;Kim, Min-Soo
    • Journal of Digital Convergence
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    • v.13 no.5
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    • pp.237-244
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    • 2015
  • Export-led policies, FTA signed and economics of scale through a variety of market-oriented policies, such as regulations to improve market grew constantly. Accordingly, the correct decision making accurately analyze the economics market for decision, a problem has been an important issue in predicting. For accurate analysis and decision-making of the most common indicators of the stock market by proposing a number of indicators of economic transformation techniques were applied to the convergence model combining estimation and forecasts problem confirmed its effectiveness. Experimental result, gave the model estimation method to apply a transform to show the valid combinations proposed model state estimation result was confirmed in a very similar exercise aspect of the physical problem and the KOSPI index prediction.

A Study on Determinants of Subjective Repayment Burden in Household Debt by Income Quintile Groups (가구의 소득분위별 가계부채 주관적 상환부담요인에 관한 연구)

  • Park, Yoon-Tae;Rho, Jeong-Hyun
    • The Journal of the Korea Contents Association
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    • v.17 no.9
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    • pp.145-158
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    • 2017
  • Lately, rapid increase of household debt and economic change has affected cash flow of household, insolvent risk has increased by high repayment burden of the principal and interest. Previous researches was progressing various discussion, composed objective repayment burden index about household debt. But it was relatively insufficient about perception of consumer. This research compare and analysis determinants of subjective repayment burden in household debt by income quintile, using 2016 Household Financial Welfare Survey. The research result is follows. The income 1 and 2 quartile groups have the higher monthly rent and credit card loan and the housing preparation loan ratio, the higher burden on repayment of the principal and interest. The Income 3 and 4 quartile groups have the higher 60s or older and member of household and real estate mortgage loan, the higher burden on repayment of the principal and interest. The Income 5 quartile group has the higher loan ratio for debt repayment preparation, the higher burden on repayment of the principal and interest.

A Study on the Transnational Performance of China's Enterprises

  • Wang, Jingnan;He, Yugang
    • The Journal of Economics, Marketing and Management
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    • v.7 no.1
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    • pp.1-14
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    • 2019
  • Purpose - Currently, the economic globalization has become a common channel for China's enterprise to perform the international economic activities. Due to this background, this paper tries to analyze the influence of internationalization level on operation performance of enterprises. Research design, data, and Methodology - This paper aims at 296 companies going listed in Shanghai Stock Exchange and Shenzhen Stock Exchange. The data about the listed companies during the 12 years from 2005 to 2016 have been collected. Relevant theories, including the theory of comparative advantage, monopolistic advantage and product life cycle in developed countries as well as the small scale technology and state on localized technological capacities in developing countries, have been summarized to provide theoretical basis for the influence of international operation on operation performance of the enterprises. Moreover, the current status of international operation of China's enterprises, including the dynamic cause of the internationalization of China's enterprises, its competitive advantage and disadvantage as well as the interest and potential risk of the internationalization, have been also analyzed. Results - Via adopting the panel data to conduct an empirical analysis, It can be found that the relationship between international operation level and operation performance of China's enterprises can be expressed as the S-curve of declining, rising and declining again. Conclusions - This paper has taken the lead in using Ohlson corporate value model to fill the gap in the relevant researches in China. It can also provide guidance for the international operation of China's enterprises. Meanwhile, the two systems for international operation and performance evaluation index have been put forward. The performance of international operation can be classified as financial performance or corporate value so that the operation effect of those China's enterprises going abroad can be better evaluated.

Selecting Stock by Value Investing based on Machine Learning: Focusing on Intrinsic Value (머신러닝 기반 가치투자를 통한 주식 종목 선정 연구: 내재가치를 중심으로)

  • Kim, Youn Seung;Yoo, Dong Hee
    • The Journal of Information Systems
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    • v.32 no.1
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    • pp.179-199
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    • 2023
  • Purpose This study builds a prediction model to find stocks that can reach intrinsic value among KOSPI and KOSDAQ-listed companies to improve the stability and profitability of the stock investment. And investment simulations are conducted to verify whether stock investment performance is improved by comparing the prediction model, random stock selection, and the market indexes. Design/methodology/approach Value investment theory and machine learning techniques are applied to build the model. Various experiments find conditions such as the algorithm with the best predictive performance, learning period, and intrinsic value-reaching period. This study selects stocks through the prediction model learned with inventive variables, does not limit the holding period after buying to reach the intrinsic value of the stocks, and targets all KOSPI and KOSDAQ companies. The stock and financial data are collected for 21 years (2001-2021). Findings As a result of the experiment, using the random forest technique, the prediction model's performance was the best with one year of learning period and within one year of the intrinsic value reaching period. As a result of the investment simulation, the cumulative return of the prediction model was up to 1.68 times higher than the random stock selection and 17 times higher than the KOSPI index. The usefulness of the prediction model was confirmed in that the number of intrinsic values reaching the predicted stock was up to 70% higher than the random selection.