• Title/Summary/Keyword: Fund

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A Study on Fisheries Financing after Establishment of Fisheries Cooperatives (수협발족이후의 수산금융에 관한 연구)

  • 김경호
    • The Journal of Fisheries Business Administration
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    • v.14 no.2
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    • pp.110-138
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    • 1983
  • After Liberation of Korea, Korean fisheries economy fell into an exhausted conditions because of the damage of Japanese colonization policy and the Korean War, and fisheries organizations of those days established for the improvement of fishermen's welfare could not carry out their primary purposes and functions. Under such circumstances, Fisheries Cooperatives starting on April 1st in 1961 played a great role in settling the socio-economic confusion of those days. Fisheries financing was also more systematic and substantial after establishment of Fisheries Cooperatives. In fact fisheries industry was faced with much more riskiness than any other industry on account of its speciality and such a riskiness induced general financial institutions to be reluctant to lend money to the fishermen. In order to overcome such a capital rationing, it was necessary to establish the reciprocal financing system based on the principle of mutual protection of economic weakers. Credit business in Fisheries Cooperatives beginning in 1963 was mainly dependent on governmental fund as fund sources. But the size of fund was too small to satisfy fishermen's fund demand, therefore Fisheries Cooperatives carried out the movement of raising its own fund. As a result of the movement the ratio of its own fund to total funds amounted to 47.7% in 1980, but external funds still take a greater part of all funds. To settle the weakness of the ratio of its own fund and chronic deficiency of fund, a conclusion can be drawn as follows : 1. The enlargement of Fisheries Cooperatives' raising ability of funds. .The expansion of urban branch to absorb idle funds in urban area. .The diversification of financing service to compete with genetral financial institutions. 2. The enlargement of governmental fund and preferential treatment of fishermen's savings. 3. Vitalization of mutual finance and fixation of Fisheries Cooperatives' two-phase organization. 4. The re-enforcement of supervisory financing and post management system.

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A Factor Analysis on the Rational Application Model for Local Government Fund (요인분석을 통한 지방자치단체 기금의 합리적 운용 모형 연구)

  • Choi, Rack-In
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.5
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    • pp.143-151
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    • 2010
  • The purpose of this research paper is to provide to alternatives to improve the fiscal issue of current local government fund system of through empirical factor analysis. The method of this study is to survey residents and public officers. The meaning of local government fund system is to enhance the roll of local community effectually and to practice democratically and efficiently through continuing support to special project, But in general, Fund must be applied under certain restrictions in the field not to attain it's objects within budget accounting system, The reform of fund managemental application must to achieve before fixing an abuse out of fund system. According to this factor analysis, a strategic aspect to enhance the democracy and efficiency of fund system must be search actively.

Design Research of Blockchain, Machine Learning for the management of financing fund (융자성 기금관리를 위한 블록체인, 머신러닝 설계 연구)

  • Oh, Rag-seong;Park, Dea-woo
    • 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.

The Policy Alternative of Launching Micro VC Fund in Korea Against an Overwhelmed 'Series A Crunch' Issues as to the Early Venture Investment at Startup Stage (창업초기 투자단계 'Series A Crunch'의 원인분석과 마이크로 VC 펀드의 도입에 대한 정책방안)

  • Yang, Young Seok
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.10 no.4
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    • pp.39-47
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    • 2015
  • "Series A Crunch"problem has become worse off as funding gap between angel seed investment and traditional VC Series A investment is getting the larger due to big boom over early startup investment both in Korea and US. The strong needs for new concept of fund alternative such as bridge fund is outstanding to fill up the funding gap in the early stage of venture investment. This research is brought to define the concept of 'Series A Crunch' problem and to diagnose its causes, eventually, popping up 'the concept of Micro VC Fund' to come up with this problem in Korea. Also, this paper suggests the policy alternatives to introduce Mivro VC Fund and accommodate its successful performance.

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A Model Based on Average Investment for Solving Complex Annuity Problems of Sinking Fund

  • Abdullah, Abu Syeed Muhammed;Latif, Abdul
    • Asia-Pacific Journal of Business
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    • v.4 no.2
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    • pp.41-53
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    • 2013
  • Undoubtedly, the basic sinking fund formula gives the future value of a series of equal installments. The main underlying assumption for using this formula is that installment and compounding frequency must be in equal interval. But when installment for a deposit scheme or any other savings scheme and compounding frequency do not occur in an equal interval, which is treated as the complex annuity problems in Finance Literature, the basic sinking fund formula does not give the accurate result. As a result, the obtainable amount from different deposit schemes offered by different banks and financial institutions does not match with the amount of future value calculated through the basic sinking fund formula by the investors or savers. This study focuses the concealed facts for such type of mismatches in values and at the same time it provides a solution through developing a new formula by extending the basic formula intended not only to remove those mismatches but also get the accurate future value from a sinking fund provision in case of complex annuity. Besides, since banks and financial institutions calculate the interest on the average amount of equal installments deposited within a period of time due to complex annuity, the study also formulates an arithmetic formula for calculating the average amount of installment.

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Fund Flow and Market Risk (펀드플로우와 시장위험)

  • Chung, Hyo-Youn;Park, Jong-Won
    • The Korean Journal of Financial Management
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    • v.27 no.2
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    • pp.169-204
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    • 2010
  • This paper examines the dynamic relationship between fund flow and market risk at the aggregate level and explores whether sudden sharp changes in fund flow (fund run) can cause a systemic risk in the Korean financial markets. We use daily and weekly data and regression and VAR analysis. Main results of the paper are as follows: First, in the stock market, a concurrent and a lagged unexpected fund flows have a positive relationship with market volatility. A positive shock in fund flow predicts an increase in stock market volatility. In the bond market, an unexpected fund flow has a negative relationship with the default risk premium, but a positive relationship with the term premium. And an unexpected fund flow of the money market fund has a negative relationship with the liquidy risk, but the explanatory power is very low. Second, for examining whether changes in fund flow induce a systemic risk, we construct a spillover index based on the forecast error variance decomposition of VAR model. A spillover index represents that how much the shock in fund flow can explain the change of market risk in a market. In general, explanatory powers from spillover indexes are so fluctuant and low. In the stock market, the impact of shocks in fund flow on market risk is relatively high and persistent during the period from the end of 2007 to 2008, which is the subprime-mortgage crisis period. In bond market, since the end of 2008, the impact of shocks in fund flow spreads to default risk continually, while in the money market, such a systematic effect doesn't take place. The persistent patterns of spillover effect appearing around a certain period in the stock market and the bond market suggest that the shock to the unexpected fund flow may increase the market risk and can be a cause of systemic risk in the financial markets. However, summarizing the results of regression and VAR model analysis, and considering the very low explanatory power of spillover index analysis, we can conclude that changes in fund flow have a very limited power in explaining changes in market risk and it is not very likely to induce the systemic risk by a fund run in the Korean financial markets.

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A Study on Fund-Raising of Start-up in Korea (창업자의 자금조달 방법에 대한 연구)

  • Lee, Hyun-Keun;Lee, Chang-Ho
    • Journal of the Korea Safety Management & Science
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    • v.15 no.4
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    • pp.401-405
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    • 2013
  • Fund-raising is critical to start-up and early stage company. We try to analyse a status of fund-raising in start-up and early stage company, and a correlation between angel investment and start-up. With last 10 years' data sheets, we find that angel investment is not related with start-up fund raising.

Analysis of the Characteristics of Social Welfare Funds of Local Governments: Focused on 6 Major Cities (지방자치단체 사회복지기금의 성격분석:6대 도시를 중심으로)

  • Sung, Hyang-Sook
    • The Journal of the Korea Contents Association
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    • v.17 no.2
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    • pp.172-182
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    • 2017
  • The purpose of this study is to learn current state of social welfare funds of 6 major cities, and to find better ways to execute those funds as well as to facilitate studies on them. So far, the studies on funds were limited to those on large ones such as pension, yielding scant number of studies on local ones, which could be the practical tools to resolve the problems of the area. To do this, I analyzed the scale of the funds (i.e. the amount of the funds raised, the amount changes in fund execution, and the comparison of the scale between each fund accounts and general accounting) and the characteristics of the fund programs (i.e. the comparison of scales of fund programs of each fund accounts, the content of the programs of each fund accounts, and the characteristics of the budget of each fund accounts). The result shows that 1) the scale of the funds changed accordingly as they were maintained, curtailed and expanded; 2) the scale of the funds were 0.02~1% of that of the general accounting; 3) the fund programs were mostly for decreasing poverty, centered on self support; 4) the social welfare funds and the funds for women were not clearly separated in some local governments, instigating the arguments on the identity of social welfare funds; and 5) the fund programs were run by civil organizations, different from general accounting programs. Based on the findings, to efficiently utilize the social welfare funds, I suggest 1) expansion of the fund scales; 2) diversification of the self-support programs to decrease poverty; 3) specification of the identity of the social welfare funds; and 4) establishment of the public and civil governance.

Using genetic algorithms to develop volatility index-assisted hierarchical portfolio optimization (변동성 지수기반 유전자 알고리즘을 활용한 계층구조 포트폴리오 최적화에 관한 연구)

  • Byun, Hyun-Woo;Song, Chi-Woo;Han, Sung-Kwon;Lee, Tae-Kyu;Oh, Kyong-Joo
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.6
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    • pp.1049-1060
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    • 2009
  • The expansion of volatility in Korean Stock Market made it more difficult for the individual to invest directly and increased the weight of indirect investment through a fund. The purpose of this study is to construct the EIF(enhanced index fund) model achieves an excessive return among several types of fund. For this purpose, this paper propose portfolio optimization model to manage an index fund by using GA(genetic algorithm), and apply the trading amount and the closing price of standard index to earn an excessive return add to index fund return. The result of the empirical analysis of this study suggested that the proposed model is well represented the trend of KOSPI 200 and the new investment strategies using this can make higher returns than Buy-and-Hold strategy by an index fund, if an appropriate number of stocks included.

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A Study on the Decision-Making of Private Banker's in Recommending Hedge Fund among Financial Goods (은행 금융상품에서 프라이빗 뱅커의 전문투자형 사모펀드 추천 의사결정)

  • Yu, Hwan;Lee, Young-Jai
    • The Journal of Information Systems
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    • v.28 no.4
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    • pp.333-358
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    • 2019
  • Purpose The study aims to develop a data-based decision model for private bankers when recommending hedge funds to their customers in financial institutions. Design/methodology/approach The independent variables are set in two groups. The independent variables of the first group are aggressive investors, active investors, and risk-neutral type investors. In the second group, variables considered by private bankers include customer propensity to invest, reliability, product subscription experience, professionalism, intimacy, and product understanding. A decision-making variable for a private banker is in recommending a first-rate general private fund composed of foreign and domestic FinTech products. These contain dependent variables that include target return rate(%), fund period (months), safeguard existence, underlying asset, and hedge fund name. Findings Based on the research results, there is a 94.4% accuracy in decision-making when the independent variables (customer rating, reliability, intimacy, product subscription experience, professionalism and product understanding) are used according to the following order of relevant dependent variables: step 1 on safeguard existence, step 2 on target return rate, step 3 on fund period, and step 4 on hedge fund name. Next, a 93.7% accuracy is expected when decision-making uses the following order of dependent variables: step 1 on safeguard existence, step 2 on target return rate, step 3 on underlying asset, and step 4 on fund period. In conclusion, a private banker conducts a decision making stage when recommending hedge funds to their customers. When examining a private banker's recommendations of hedge funds to a customer, independent variables influencing dependent variables are intimacy, product comprehension, and product subscription experience according to a categorical regression model and artificial neural network analysis model.