• The Korean Journal of Financial Management
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• v.25 no.2
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• pp.1-31
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• 2008

Before the financial crisis in 1997, Korean bond markets had been those of corporate bonds with relatively high market yield. During the period, most of major institutional investors tend to utilize passive strategies such as buying and holding. After the crisis, however, they could not help choosing active bond management strategies because of lowed yield level and intensified competition among the financial institutions. This study is forced on the yield curve, which is the reflection of all information on the bond investment environments. The study also make analysis on the major economic and securities market factors and its structural relationship with the shape of the curve such as level, curvature and slope. For these purposes, an empirical model based on the Nelson-Siegel Model is estimated with the data during $1999{\sim}2006$. Out-of-sample forecasting is also made to test the usefulness of the estimated model. In addition, the dependent variables which are the estimates of level and slope are estimated on the macro variables and securities market variables. VAR and SUR models are used for the estimation. Estimation results show that level and slope of the yield curve are influenced by the target call rate change, exchange rate change rate, inflation rate. These results provide practical implications for the active managements in the overall treasury bond markets.

• The Korean Journal of Financial Management
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• v.23 no.2
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• pp.189-208
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• 2006

In this paper we are concerned with estimation of tail related risk measures for heteroscedastic financial time series and VaR limits that VaR tells us nothing about the potential size of the loss given. So we use GARCH-EVT model describing the tail of the conditional distribution for heteroscedastic financial series and adopt Expected Shortfall to overcome VaR limits. The main results can be summarized as follows. First, the distribution of stock return series is not normal but fat tail and heteroscedastic. When we calculate VaR under normal distribution we can ignore the heavy tails of the innovations or the stochastic nature of the volatility. Second, GARCH-EVT model is vindicated by the very satisfying overall performance in various backtesting experiments. Third, we founded the expected shortfall as an alternative risk measures.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.1
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• pp.100-106
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• 2018

Since the concept of virtual currency called Bitcoin was announced in 2008, the blockchain technology, which is the basis of Bitcoin, is attracting attention as an important platform technology in the era of the 4th industrial revolution that can change our society in the future. Although Existing electronic financial transactions store and manage all transaction history at a reliable central organization such as government and bank, blockchain-based electronic financial transactions are composed of a distributed structure in which all participants participating in the transaction store and manage the transaction history, it is possible to secure transaction transparency while reducing system construction and operation costs. Besides the virtual currency that started with bit coins, the technology of these blockchains has been extended in various fields such as smart contracts and document management. The key technology area of this blockchain is security based on proven cryptographic technology to make it difficult to forge and hack, but there are security risks such as security vulnerabilities in the virtual currency trading service, We will discuss security risks in using virtual currency and discuss countermeasures. Especially security accidents of virtual currency exchanges are occurring frequently recently, the damage of users who trade the virtual currency is also increasing, we propose security threats and security countermeasures against virtual currency exchanges.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.21-38
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• 2017

It is actively opening the market to fintech companies through open platforms, such as financial institutions and public institutions. In this thesis, we will look at the conceptual differences between the "provision of third-party information" and "entrustment" of information protection related laws, such as the Personal Information Protection Act, the Act on Promotion of Information and Communications Network Utilization and Data Protection Etc (Network Utilization Protection Act). In addition, the legal obligation to provide information regarding the legal rights of information is considered to be relevant, whereas the legal obligation of the private information provided by the company is excessively mitigated, whereas the legal obligation of the company to provide information is excessively mitigated. In addition, I suggest self-diagnosis checklist to help fintech companies improve their privacy levels. It was found that the level of information protection was relatively insufficient compared to the consignees based on the results of a survey conducted for 31 fintech companies. Aggressive use of the checklist is suggested to raise the level of information protection for those companies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.3
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• pp.670-676
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• 2009

Bankruptcy of firms in Korea can cause distress of financial institutions because these institutions have disterssed bond. Accordingly, social and economical spill-over effects by these results are very big. Even after the difficult times of IMF crisis had ended, bankruptcy of information-based small-medium companies and venture firms listed on the KOSDAQ has been continued. In this context, this study developed and adopted failure prediction models for which discriminant analysis was used. Samples of this study was 81 firms respectively for both failed and non-failed firms listed on the KOSDAQ between the year of 2000 and 2007. The results of this study are as follows. First, the accuracy of classification of the model by years was $74.5%{\sim}76.5%$, and the accuracy of classification of the mean model was $69.6%{\sim}80.4%$. Among the models, the mean model of -one year, -two years, and -three years was highest in accuracy of classification (80.4%). Second, accuracy of prediction of final model adopted on validation samples showed 85% before one year of bankruptcy. The results of this study may be significant in that the results may be used as early warning system for bankruptcy prediction of KOSDAQ firms.

• Cross-Cultural Studies
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• v.41
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• pp.199-227
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• 2015

In the twenty-first century, one of the most controversial issues concerns neoliberal policies and its results. In particular, since the mid-1980s, the United States and international financial institutions have imposed their programs on Latin American countries. The result is a deepening social inequality in Latin America that puts an emphasis on financial stability instead of social security. Consequently, social inequality is worsened and an imbalance in income distribution took place. Because of the flexibility of labor, the middle class is destroyed. For the poor person deprived of the opportunity to rise, violence is a common occurrence in daily life. Thus, in this context, Eduardo Galeano raises the necessity of a critique concerning the values that neoliberalism regards as important. Furthermore, Galeano is also wary of the "militarization of neoliberalism." This is because the neoliberal multinationals motivate a war without borders under the guise of peace. Neo-liberal policies also contribute to environmental pollution. However, environmental vandalism, which happens in partnership with large and international organizations, is not readily apparent to the public because those perpetrators wore a "green mask." Hence, Galeano assiduously endeavors to undercover the false consciousness hiding behind the green mask. Thus, in brief summary, Galeano represents in his works a depiction about Latin America where violence often happens in daily life.

• Korean Journal of Construction Engineering and Management
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• v.22 no.2
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• pp.106-118
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• 2021

Global governments and initiatives have attempted and integrated various organizational efforts to implement the 17 Sustainable Development Goals (SDGs), presenting a new paradigm of sustainable development to address global issues (climate change, poverty eradication, and human rights). Recently, investment in sustainable finance has expanded to finance the attainment of goals set out in the Paris Agreement and SDGs. Non-financial factors such as environment, social responsibility, and governance (ESG) have become intangible assets that determine the future competitiveness and profitability of companies. Domestic and foreign institutional investors and asset management companies have been expanding their investments based on the ESG performance of companies. In this study, we aim to derive international standards and initiatives that require disclosure of information on corporate social responsibility activities and ESG performance and analyze construction companies' ESG activities and performance levels. The results of this study can be used as the basis to develop platforms for the construction industry ESG ecosystem and the measurement and management of intangible assets. These could ultimately contribute to overcoming the crisis in the future due to the outbreak of the COVID-19 pandemic, fostering net-zero emissions, and preventing fatal workplace accidents in the construction industry.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.3
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• pp.346-354
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• 2021

Since 2015, Blockchain has experienced rapid development throughout the world, institutions including Central Banks, Government Departments, Commercial Banks, IT Giants are all accelerating their exploration on Blockchain, and investment on Blockchain related R&D departments and start-up companies also shows explosive growth. This paper studies the impact of blockchain technology on banks' conventional trade settlement methods and describes blockchain technology in term of its concepts, advantages, and disadvantages. It also studies the application processes of blockchain technology combined with conventional trade settlement methods (remittance, collection, and L/C), and analyzes the positive and negative impacts of blockchain technology on the conventional trade settlement methods. In addition, this paper lists the blockchain application cases, analyzes the technology development status and existing problems, and puts forward suggestions and measures for the development of blockchain finance in China based on the case analysis and impact research.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.131-144
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• 2021

In recent years, China has gradually made clear its decision to modernize the governance system and governance capacity of the government by the virtue of digital transformation. As for the smart prison, as a penal institution of the state, technological reform is a key element in the sustainable development of smart prisons; however, relying on technology does not necessarily lead to a better service experience. Service design concept, as a coordinator of technology and social sustainability, needs to be adapted to the technological integration of smart prisons and to the needs for service design in the prison context in a new mode of thinking about services. This paper takes the development of the Jail Pay financial services system, one of the twelve sub-systems of the Smart Prison, as an entry point to explore the characteristics and shortcomings of the service design approach in achieving sustainable service innovation in the Smart Prison, it proposes an experience-based lead collaborative design (EBLCD) that is suitable for the specific needs in the prison context. The EBLCD is a theoretical framework and practical experience for sustainable service innovation in the construction of smart prisons.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.307-332
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• 2022

One of the most intensively conducted research areas in business application study is a bankruptcy prediction model, a representative classification problem related to loan lending, investment decision making, and profitability to financial institutions. Many research demonstrated outstanding performance for bankruptcy prediction models using artificial intelligence techniques. However, since most machine learning algorithms are "black-box," AI has been identified as a prominent research topic for providing users with an explanation. Although there are many different approaches for explanations, this study focuses on explaining a bankruptcy prediction model using a counterfactual example. Users can obtain desired output from the model by using a counterfactual-based explanation, which provides an alternative case. This study introduces a counterfactual generation technique based on a genetic algorithm (GA) that leverages both domain knowledge (i.e., causal feasibility) and feature importance from a black-box model along with other critical counterfactual variables, including proximity, distribution, and sparsity. The proposed method was evaluated quantitatively and qualitatively to measure the quality and the validity.