• Korean System Dynamics Review
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• v.17 no.3
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• pp.91-120
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• 2016

This study explores hedge fund characteristics that affect hedge fund performance, namely, fund size, fund age, and performance fee. Previous studies have examined relationships between hedge fund characteristics and fund performance using singular and static thinking to report inconsistent findings without providing full understanding of the causal relationships among variables. To identify that comprehensive causal relationships between hedge fund characteristics and hedge fund performance, this research applies the system dynamics perspective, which allowed demonstration of the interactions within the overall system beyond the singular causal relationships between hedge fund characteristics and performance found in existing traditional research. This study contributes to existing literature in the following ways. First, it overcomes the limitations of singular research methodologies by looking at the integrated system of hedge fund characteristics and fund performance from a bird's eye view based on their dynamic feedback relationships. Second, policy suggestions in terms of regulation and education are presented as growth strategies for the sustainable development of the Korean hedge fund market.

• Journal of information and communication convergence engineering
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• v.19 no.3
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• pp.142-147
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• 2021

In this paper, we propose an intelligent research fund management system that applies artificial intelligence technology to an integrated research fund management system. By defining research fund management rules as work rules, a detection model learned using deep learning is designed, through which the disapproval status is presented for each research fund usage history. The disapproval detection system of the RCMS implemented in this study predicts whether the newly registered usage details are recognized or disapproved using an artificial intelligence model designed based on the use of an 8.87 million research fund registered in the RCMS. In addition, the item-detail recommendation system described herein presents the usage details according to the usage history item newly registered by the artificial intelligence model through a correlation between the research cost usage details and the item itself. The accuracy of the recommendation was shown to be 97.21%.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.3
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• pp.161-170
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• 2015

Recently the fund has been popular for the representative financial investment. In the decision making procedure of the investor about this fund investment, this research analyze how the factor was considered as fund investing behavior. The paper examines investors' risk reduction behavior and fund choice attribution for fund investment behavior, provides insight for marketing strategy in fund market for fund investment behavior. The period for the survey is from December 2014 to January 2015 and analyzed 431 samples of using a fund investor The research results showed that fund distribution, fund literacy and fund performance appeared to be statistically significant variables that positive affected fund investment satisfaction, but fund advertise negative affected fund investment satisfaction. Also, the fund management company, benefit, fund literacy, fund performance, and recommend appeared to be statistically significant variables that positive affected fund investment intention. It is expected that fund marketing strategy based on research return should be established to cope with the fund literacy as well as the fund investing behavior. Concretely to fund investment satisfaction make informed decision in fund performance, fund information provided to investor should be customized to contribute the improvement of overall fund literacy.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2000.04a
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• pp.16-32
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• 2000

This paper aims at exploring financing methods for port development in response to unification of South and North Korea. In so doing, methods of port financing employed by major countries have been enumerated. Major financing sources for the two Korea, among others, taxes, public bond, public administration fund, establishment of harbour maintenance tax, port development tax, port development fund, Civil Economic Cooperation Fund of South and North Korea, and Fund for Port Development of North Korea and, fund for cooperation of South and North Korea, Economic Development Cooperation Fund, borrowing of foreign capital, project financing, domestic civil capital investment, foreign capital investment, application of cross-subsidization principle, etc. were suggested.

• Journal of Korea Society of Industrial Information Systems
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• v.18 no.5
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• pp.107-117
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• 2013

In order to enhance the performance of National R&D program, it is required not only the R&D funds and human resources, but also the composition of the research environment in which the researchers could fully concentrate on study. Particularly in Korea, executive burdens that arise in the course of the administration of research fund are frequently causing difficulties in concentrating on study. To remove this burden on financial management and maximize the efficiency of research funding, the government has implemented the central management system of the R&D fund. This study analyzed the moderating effects of the centralized management system of the R&D fund on the relationship between government fund and performance of the university research. Based on the analyzed result, this study concluded that the higher level of centralized management system of the R&D fund is implemented, the more influence on research outcomes grow. This study is significant to extend previous research point of view, as well as analyze the practical effect of government policies.

• The Journal of Industrial Distribution & Business
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• v.9 no.1
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• pp.9-23
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• 2018

Purpose - The purpose of this paper is to investigate the potential benefits or detriments of team management on fund performance in the mutual fund market. An additional purpose of this study is to examine the optimal number of managers in a fund industry for superior performance. Research design, data, and methodology - This paper investigates the effect of managerial structure on fund performance in the Korean active mutual fund market between 2001 and 2008. For this, we analyze two risk-adjusted performances measures- the capital asset pricing model (CAPM) and the three-factor model of Fama & French (1993). Results - First, we found that single-managed funds exhibited superior performance. Second major finding was that as the number of managers in a fund increases, the fund performance deteriorates. Finally, the results reveal that the sharpest performance drop occurs when team size increases from a 5-person team to a 6-person team. Conclusions - The results suggest that the management structure can be a source of competitive advantage for fund performance. As considering fund performance is the outcome of managers' decision-making, this study contributes to not only the financial literature but also the literature in other areas, such as management and general business.

• Journal of Multimedia Information System
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• v.8 no.3
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• pp.183-190
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• 2021

In this paper, we implement a system for a fund recommendation based on the investment propensity and for a future fund price prediction. The investment propensity is classified by scoring user responses to series of questions. The proposed system recommends the funds with a suitable risk rating to the investment propensity of the user. The future fund prices are predicted by Prophet model which is one of the machine learning methods for time series data prediction. Prophet model predicts future fund prices by learning the parameters related to trend changes. The prediction by Prophet model is simple and fast because the temporal dependency for predicting the time-series data can be removed. We implement web pages for the fund recommendation and for the future fund price prediction.

• Health Policy and Management
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• v.27 no.4
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• pp.366-371
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• 2017

The National Health Promotion Fund has grown as the increase of tax on tobacco consumption, but more than half of the fund was spent on health insurance supporting. It is important to use the fund appropriately to keep legitimacy and sustainability of health promotion. Therefore, services regarding health promotion should be a priority in spending health promotion fund, and operation system should be established to manage and administer the fund properly.

• Korean Journal of Health Education and Promotion
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• v.24 no.4
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• pp.201-217
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• 2007

This study reviews the amount and expenditures in national health promotion fund from 1997 to 2006, to analyse the problems and provide the future direction of health promotion fund programs. This study suggested the guide for future plans and the scope and contents of health promotion fund programs, priority and fund budgetary allocation, and operation organization. It is needed to revise health promotion law and enforcement decree of the health promotion act. The fund should be used in limited 9 areas related to healthy life activities: (1)Anti-smoking actions, (2)To support activities leading to a healthy life, (3)Public health education and development of materials, (4)Investigation and research regarding community health matters, (5)Public nutrition management activities, (6)Oral health management activities, (7)Physical exercises for health promotion, (8)Foundation related to supporting healthy life style practice society, (9)Expenses necessary for the management and operation of the fund. And also, in order to improve the performance of health promotion, it is considered to reform the operation system including organization.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.10
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• pp.1201-1208
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• 2019

The government has operated financing fund under the National Finance Act for the smooth conduct of national policy. But, It is exposed to problems such as the possibility of abuse of fund and the lack of after-loan management. In this paper, It uses fintech such as the blockchain and machine learning to solve these problems. The fund operation procedure is designed as a consortium blockchain, and it suggests the application of PBFT negotiation algorithm and the smart contract. In case of the fund management, it suggests utilizing multilayer artificial neural network model of machine learning and a module of result interpretation. The introduction of this research approach will improve the transparency and efficiency of the financing fund, ensure the credibility and also contribute to the improvement of the fund management and the establishment of the fund policy.