• The Korean Journal of Applied Statistics
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• v.24 no.2
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• pp.253-268
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• 2011

In this paper, we estimate systematic risk from credit migration (or transition) matrices under "Asymptotic Single Risk Factor" model. We analyzed transition matrices issued by KR(Korea Ratings) and concluded that systematic risk implied on credit migration somewhat coincide with the real economic cycle. Especially, we found that systematic risk implied on credit migration is better than that implied on the default rate. We also emphasize how to conduct a stress test using systematic risk extracted from transition migration. We argue that the proposed method in this paper is better than the usual method that is only considered for the conditional probability of default(PD). We found that the expected loss critically increased when we explicitly consider the change of credit quality in a given portfolio, compared to the method considering only PD.

• Korean Journal of Construction Engineering and Management
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• v.10 no.1
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• pp.102-113
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• 2009

When planning and promoting apartment house development project, it is very important to carry on profitability in planning stage through realistic evaluation and analysis about distributability. Especially, the analysis about project feasibility through forecasting the early distribute rate is crucial stage because it could evaluate overall expecting benefit and feasibility of the project. However, researches and studies related with forecasting profitability and distributabilty of construction development project are insufficient. Also there is a big gap of the standard for evaluating early distribute rate between government and individual corporations. So it is necessary to study about the evaluating early distribute rate. In this point, this study aims to present effective evaluating standard(criteria) which is for forecasting profitability and distribute rate through analyzing various factors and weight of apartment house development projects. This study compared and analyzed examples of the real initial rate of private apartment sale based on the government estimated standard. Among estimated index, omitted items and factors to be additionally considered are combined as 33 detail appraisal contents of 4 parts 9 items by allotting them based on the data about priority of all considered factors.

• Journal of the Korean Data and Information Science Society
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• v.26 no.2
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• pp.323-334
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• 2015

he current VaR model based on the J.P. Morgan's RiskMetrics structurally can not reflect the future economic situation. In this study, we propose a One-factor model resulting from the Wiener stochastic process decomposed into a systematic risk factor and an idiosyncratic risk factor. Therefore, we are able to perform a preemptive risk management by means of reflecting the predicted common risk factors in the model. Stocks in the portfolio are satisfied with the independence to each other because the common factors are fixed by the predicted value. Therefore, we can easily determine the investment in each stock to minimize the variance of the portfolio. In addition, the portfolio VaR is decomposed into the sum of the individual VaR. So we can effectively implement the constitution of the portfolio to meet the target maximum losses.

• Environmental and Resource Economics Review
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• v.28 no.4
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• pp.617-643
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• 2019

The Demilitarized Zone(DMZ) is a buffer zone set between the southern and northern limit lines established after the 1953 Armistice Agreement. It is an important natural environment conservation area where wild species of animals and plants live. On the other hand, the development pressure on the DMZ will increase when the inter-Korean economic cooperation is activated in the future. As a result, DMZ development should consider not only the economic cost-benefit aspects, but also how to assess and conserve the biodiversity of the DMZ, as well as the recovery costs and budget. This paper develope a sustainable DMZ management model under biodiversity uncertainly by using real option approach. The model is also designed to reflect the political risk and regional specificity of the DMZ. Through empirical analysis, I derive the biodiversity threshold (b^*) that can secure the DMZ investment economy under uncertainty. In addition, through the sensitivity analysis, I derive the factors influencing the biodiversity threshold, and suggest the policy implications for sustainable management of DMZ.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.5
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• pp.458-463
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• 2005

The total asset management system is used for banks or financial institutions for the management of trusteed assets or own assets and it is divided into three systems: the front-office system, the middle-office system and the back-office system by its business areas and functionalities. This kind of asset management system is a huge and complex system handling large data and various financial products, and requires professional knowledges like accounting, financial product specific knowledge, compliance and regulations, etc. It also performs high level computation for NAV calculation and risk measurement on every day Therefore, it needs absolute stability, extendability and efficiency and should handle the frequent change of regulation and products and connectivity with outdoor institutions. In this paper, we report our successful development of such a system and discuss issues regarding its efficient system design and system construction.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.141-147
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• 2019

This paper analyzes the price movements and the possibility of delisting by research and development intensity of firm which made technological innovation disclosure in the Korean stock market. The sample consists of firms listed on the KRX which made technological information disclosure between January 2002 and December 2014. The results are summarized as follows. The higher R&D intensity is observed for the delisted firms group. The logit regression result shows that the research and development intensity is a significant predictor of the possibility of delisting. This shows that exposure to the risk of delisting may increase as the proportion and uncertainty of intangible assets in the assets of individual firms increases. This empirical result is expected to serve as a good guide line for the stakeholders.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.1
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• pp.91-99
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• 2022

The shipping industry is a service industry that operates its business by transporting cargo on ships and receiving freight. Therefore, large-scale capital investment is required for ship operation, and if the value of the ship is uncertain, the risk of shipping management increases. This study aims to identify the factors affecting changes in ship value and to analyze the importance of each variable. To achieve the goal, the factors affecting changes in ship value were identified and structured using the techniques of text mining and topic modeling, and classified into three main factors and 12 sub-factors. This study used AHP analysis to examine the relative importance of each factor. Results indicated that the main factor influencing the change in the vessel value was the shipping factor, followed by the investment factor and the environment factor. Other auxiliary factors that substantially affect the ship value include the volatility of the shipping market and of shipping freight.

• Korea Trade Review
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• v.46 no.3
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• pp.119-133
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• 2021

After 'Zhou Chuchu (走出去, Go global)' in the early 2000s, and with the 'One-to-One Road' initiative in 2012, China's Overseas Foreign Direct Investment (OFDI) has increased significantly, resulting in high academic interest. The purpose of this study is to analyze the impact of national risks of home country on China's OFDI by using data from 49 countries along the 'One-to-One Road' between 2007 and 2018, and to compare the factors of national risks that attract investment from the world. As a result of the study, market economy companies' perceptions of national risks are mostly negative, so risk acts as a deterrent to investment. On the other hand, national risks of home countries have had positive effects on China's OFDI, which would mean that Chinese investors, mostly state-owned enterprises have a high tendency to invest in regions or countries with high national risks. Other economic factors, such as the size of the investment partner country's market, GNI per capita, and trade openness, had a positive (+) effect, and natural resources had a negative (-) effect on China's OFDI. As dummy variables, FTA, which is an economic and diplomatic factor, SCO, which is a political and diplomatic factor, and bordering which is a geographical factor, were also found to have a positive (+) effect. This study implies the investment pattern of China's OFDI is due to the characteristics of China's unique geopolitical and economic system, and it is judged to be influenced by political and strategic factors, especially the aspects led by state-owned enterprises.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.41-47
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• 2023

Financial instruments valuation continues to evolve due to various technological changes. Recently, there has been increased interest in valuation using machine learning and artificial intelligence, enabling the financial market to swiftly adapt to changes. This technological advancement caters to the demand for real-time data processing and facilitates accurate and effective valuation, considering the diverse nature of the financial market. Numerical analysis techniques serve as crucial decision-making tools among financial institutions and investors, acknowledged as essential for performance prediction and risk management in investments. This paper analyzes Korean patent trends of numerical analysis-based financial systems, considering the diverse shifts in the financial market and asset data to provide accurate predictions. This study could shed light on the advancement of financial technology and serves as a gauge for technological standards within the financial market.

• Journal of Korea Port Economic Association
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• v.39 no.4
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• pp.97-106
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• 2023

Most scholars and media viewed the cause of the bankruptcy of Hanjin Shipping, which once boasted the world's seventh largest company, as management failure or CEO risk. However, in this study, the cause of Hanjin Shipping's bankruptcy was considered to be the collective action of ship investment from a behavioral economics perspective, and it was pointed out that the Korean government's inflexible fleet expansion policy was the background for this collective action. In short, the cause of Hanjin Shipping's bankruptcy was the purchase of ships during the boom period, and the root cause of the purchase of ships during the boom period was pointed out as 'collective action in which one feels safe only by following the actions of others.' In addition, in order to achieve the goal of 'shipping competitiveness = fleet size' set by our government, a policy was implemented to encourage ship purchases during recessions and even boom times, and this policy signaled to the market that 'now is a good time to buy ships'. It can be pointed out that was given.