• Journal of Technology Innovation
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• v.5 no.1
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• pp.206-222
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• 1997

The conventional analysis with which justifies government intervention of the private sector's innovation activities is the market failure approach. According to such analysis, fund allocation through autonomous market mechanisms is not optimal in technology financing because of the disparity between the desirable level of investment for society as a whole and that for private firms. To optimize the fund allocation, public policies such as subsidy, preferencial loan and venture capital investment programs are designed for technology development projects performed by private firms. They, however, have not been effective in increasing private investment for such projects. In most cases, it was found that little considerations given to the relationship between uncertainty embodied in technology development projects and each types of financing. With respect to optimizing fund allocation, technology development projects should be financed by different means according to their probability of success and the expected value of technology. Employing various theoretical models on financing decision-making we verify here that technology development projects to be supported by commercial banks or venture capital institutions is limited contingent upon levels of uncertainty adn expected value. Under the assumption that financial institutions are risk averse, loan or investment can be available only if the probability of success of the project is higher than the probability premium and the current market rate of interest. Therefore, the projects that have lower probability of success and/or small expected return are excluded from commercial loan or investment programs. However, the remaining projects, whose probability of success is low but with high expected return, may be applied under government subsidy programs. To achieve optimality of fund allocation and to activate technology financing, we conclude that there should be a systematic division of role among financial institutions including government commercial banks, and venture capital institutions.

• Communications for Statistical Applications and Methods
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• v.15 no.5
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• pp.697-708
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• 2008

Operational risk is defined as the risk of loss resulting from inadequate or failed internal processes, people and systems, or external events. The advanced measurement approach proposed by Basel committee uses loss distribution approach(LDA) which quantifies operational loss based on bank's own historical data and measurement system. LDA involves two distribution fittings(frequency and severity) and then generates aggregate loss distribution by employing mathematical convolution. An objective validation for the operational risk measurement is essential because the operational risk measurement allows flexibility and subjective judgement to calculate regulatory capital. However, the methodology to verify the soundness of the operational risk measurement was not fully developed because the internal operational loss data had been extremely sparse and the modeling of extreme tail was very difficult. In this paper, we propose a methodology for the validation of operational risk measurement based on bootstrap confidence intervals of operational VaR(value at risk). We derived two methods to generate confidence intervals of operational VaR.

• Korean Journal of Construction Engineering and Management
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• v.8 no.1 s.35
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• pp.47-56
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• 2007

The Build-Transfer-Lease(BTL) system is a new way of attracting private capital to social infrastructure construction projects. Private companies will get back their investment by leasing facilities to the government. In January 2005, government introduces a 'Korean New Deal Policy' to initiate BTL system in the field of social infrastructure development such as education, public welfare, housing, culture etc. As BTL being still in premature phase, thus it is lack of knowledge in BTL and there is no such studies about problems and impacts of BTL projects. However, there could be so many problems underlying within BTL projects. Therefore, the purpose of this paper is to identify various risk factors during implementation of BTL projects. For this purpose, five BTL undertaking projects were studied. Field survey was conducted based-on interview instruments. Prevailing risk factors in operating the BTL Project were collected from the both officials of project promoters and concessionaires. In addition, a distinct need has emerged for analysis of risk factors for BTL projects. Based on real cases, this study resulted in risk factors influencing every phases and grouped risk factors into each phase. Moreover, this study also perform sensitivity analysis in order to know how risk factors affect to BTL projects. From analyzing the data, the study addresses that both major BTL project participants 'the competent authority' and 'Special purpose company(SPC)' have many problems and difficulties to operate the projects.

• The Journal of the Korea Contents Association
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• v.9 no.8
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• pp.41-48
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• 2009

As enactment and enforcement of capital markets integration law, investment banks are going to be appeared in our financial market and be able to provide payment services. To provide these kinds of services, investment banks need to be participated in the financial network. As the financial network enormously affect the economy, the operation of the network will require a variety of risk managements. In this paper we define operational risk management criteria for the financial network such as security, in-time response, economical efficiency and stability to be required for the healthy economy and propose the configuration of the financial network system based on virtual private networks for investment banks to provide payment services. Finally we analyze that the proposed VPN configuration for financial networks has high security and in-time response with the cost and operation effective.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.55
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• pp.185-208
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• 2012

Before and after the Capital Market Integration Act in 2007 is implemented in South Korea, many of small-and mid sized exporting companies in South Korea has been bankrupted or filed for lawsuit claiming mis-selling(KIKO) by the banks. The basic economic structure of KIKO in Korea are part of a business model based on the use or misuse of exotic derivatives whose results are anything but imaginary. 571 mid sized exporting companies have been damaged about $28 billion. KIKO is a currency option product that sells foreign currencies at higher foreign exchange rate when the rate moves within a certain range, but sells foreign currencies at two or three times lower rate than the market price when the rate exceeds the designated upper limit. KIKO, Therefore, is hard to know whether the non financial firms intended to hedge against further strengthening of their currency or merely to speculate. It is also hard to know how thoroughly they understood the risk-return profile of these transactions. It is similarly hard to ascertain whether the derivatives dealers offering these transactions were meeting the demands of their clients or taking advantage of them. These exotic derivatives were inappropriate for either hedging or speculating, and no knowledgeable investor would be likely to enter into these contracts intentionally.

• Industrial Engineering and Management Systems
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• v.15 no.1
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• pp.63-76
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• 2016

Multiperiod portfolio selection problem attracts more and more attentions because it is in accordance with the practical investment decision-making problem. However, the existing literature on this field is almost undertaken by regarding security returns as random variables in the framework of probability theory. Different from these works, we assume that security returns are uncertain variables which may be given by the experts, and take absolute deviation as a risk measure in the framework of uncertainty theory. In this paper, a new multiperiod mean absolute deviation uncertain portfolio selection models is presented by taking transaction costs, borrowing constraints and threshold constraints into account, which an optimal investment policy can be generated to help investors not only achieve an optimal return, but also have a good risk control. Threshold constraints limit the amount of capital to be invested in each stock and prevent very small investments in any stock. Based on uncertain theories, the model is converted to a dynamic optimization problem. Because of the transaction costs, the model is a dynamic optimization problem with path dependence. To solve the new model in general cases, the forward dynamic programming method is presented. In addition, a numerical example is also presented to illustrate the modeling idea and the effectiveness of the designed algorithm.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.37-46
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• 2021

Recently, social technologies have been created to solve problems from businesses for the establishment of generational solidarity ecosystem in terms of employment, residential space, network and social capital, age, cognitive and environmental aspects. This is senior-friendly healthcare business system aimed at meeting the senior needs for health life to enjoy active consumption culture life even after retirement, becoming a catalyst for minimizing generational conflicts, preventing the cognitive and physical deterioration of seniority in the areas of life healthcare, fitness and well-aging, and expanding into systems necessary for seniority self-reliance. We would like to draw up the development and requirements of the concept of the service platform for the study of collective characteristics for generation solidarity with senior class and the establishment of a customized senior health life system for generation solidarity. This system is characterized by a platform that can prevent the decline of seniors' cognitive and physical functions and enhance emotional stability. It is significant in providing feedback on the risk perception index, fall index, and prevention training index information to the child through the analysis and extraction of the senior health index for risk perception, fall probability, and fall prevention.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.299-306
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• 2022

Entrepreneurs with behavioral finance biases are more likely to make irrational or financially detrimental decisions. Understanding financial behavior biases can assist in making sound financial decisions. Behavioral finance is a new topic that can assist researchers in better understanding investor behavior and preferences while purchasing and selling stocks. Using measures such as independent t-tests and average Likert five-point scale scores, this study seeks to determine how entrepreneurs make investment decisions and whether gender makes a difference. The study is empirical, and data from 1000 entrepreneurs were collected through convenience sampling. The study's main findings show that there are numerous factors to consider while investing in stocks, including family planning, children's education, investment security, and recurring income. Both men and women attempt to invest in many asset classes, but certain investments are extremely risky, while others are low risk. As a result, investors should assess risk based on their age and experience rather than their gender; this indicates that an investment in venture capital has nothing to do with gender but everything to do with the investor's age.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.602-607
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• 2013

Financial risks associated with capital investments are often measured with different feasibility indicators such as the net present value (NPV), the internal rate of return (IRR), the payback period (PBP), and the benefit-cost ratio (BCR). This paper aims at demonstrating practical applications of probabilistic feasibility analysis techniques for an integrated feasibility evaluation of the IRR and PBP. The IRR and PBP are concurrently analyzed in order to measure the profitability and liquidity, respectively, of a cash flow. The cash flow data of a real wind turbine project is used in the study. The presented approach consists of two phases. First, two newly reported analysis techniques are used to carry out a series of what-if analyses for the IRR and PBP. Second, the relationship between the IRR and PBP is identified using Monte Carlo simulation. The results demonstrate that the integrated feasibility evaluation of stochastic cash flows becomes a more viable option with the aide of newly developed probabilistic analysis techniques. It is also shown that the relationship between the IRR and PBP for the wind turbine project can be used as a predictive model for the actual IRR at the end of the service life based on the actual PBP of the project early in the service life.

• Fire Science and Engineering
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• v.32 no.2
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• pp.102-109
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• 2018

This study examined the effects of the risk generation factors on the public service motivation and a vocational calling of fire service officers during their work. This is based on the assumption that the risk generation factors of firefighters in their organization should be related to the effectiveness of the organization by affecting the psychological capital of the individual. For this study, the survey was conducted on fire service officers who participated the official training session in Kyuunggi and Seoul area and analyzed the data collected by the regression analysis and t-test analysis. As a result, the higher the perception of generation factors, the higher the level of public service motivation and vocational calling. In addition, there was a significant difference between a high risk generation factor perception group and low risk group regarding the perception level of public service motivations and vocational callings. These results show that there is a need to provide more field-based training opportunities for firefighters who can recognize the risk generation factors better.