• 한국경영과학회지
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• 제23권3호
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• pp.185-207
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• 1998

This research investigates computer generated hybrid second-order model of two numerically based approaches to risk classification : discriminant analysis and neural networks. The hybrid second-order models are derived by rule induction using the ID3 and tested in the several different kinds of data. This new hybrid approach is designed to combine the high prediction accuracy and robustness of DA or NN with perspicuity of ID3. The hybrid model also eliminates the problem of contradictory inputs of ID3. After doing empirical test for the validity of hybrid model using small and medium companies' bankrupt data, hybrid model shows high perspicuity, high prediction accuracy for bankrupt, and simplicity for rules. The hybrid model also shows high performance regardless the type of data such as numeric data, non-numeric data, and combined data.

• 아태비즈니스연구
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• 제9권1호
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• pp.107-121
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• 2018

The purpose of this paper is to explore the determining factors of foreign direct investment(FDI) of Korea by using institutioanl theory. In addition, this study divides institutional facts into the formal and the informal institutions. The empirical test implements multiful regression analysis focuing on korean electronics and automotive industry. The dependent variables are FDI outflow and the independent ones are corruption, econimic freedom, political risk, human development, and culturan distance. According to the empirical results, corruptin and human development have positive effects on Korean FDI outflow. On the other hand, political risks and economic freedom have negative effects on Korean FDI outflow. This results indicate the importance of forman and informal institutional facotrs as determinants of Korean FDI outflow.

• 무역학회지
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• 제44권2호
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• pp.21-35
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• 2019

This study analyzes factors that affect the corporate value of Korean companies operating in Latin American countries. Primary factors are associated with characteristics of the host country, the parent company, and subsidiaries. Empirical results show that asset specificity is the main factor influencing firm value. This region is geographically far from Korea and culturally different. Therefore, the source of competitive advantage such as asset specificity should be large enough to offset liability of foreignness for successful entry into the region. This paper also found that joint ventures are more advantageous than direct investments. Joint ventures in Latin American can minimize risk, complement technology and information, and reduce trade barriers.

• 한국정보시스템학회지:정보시스템연구
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• 제26권2호
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• pp.43-62
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• 2017

Purpose This study provided empirical support for the model that explain the formation of privacy concerns in the perspective of Information Boundary Theory. This study investigated an integrated model suggesting that privacy concerns are formed by the individual's disposition to value privacy, privacy awareness, awareness of privacy policy, and government legislation. The Information Boundary Theory suggests that the boundaries of information space dependends on the individual's personal characteristics and environmental factors of e-commerce. When receiving a request for personal information from e-commerce websites, an individual assesses the risk depending on the risk-control assessment, the perception of intrusion give rise to privacy concerns. Design/methodology/approach This study empirically tested the hypotheses with the data collected in a survey that included the items measuring the constructs in the model. The survey was aimed at university students. and a causal modeling statistical technique(PLS) is used for data analysis in this research. Findings The results of the survey indicated significant relationships among environmental factors of e-commerce websites, individual's personal privacy characteristics and privacy concerns. Both individual's awareness of institutional privacy assurance on e-commerce and the privacy characteristics affect the risk-control assessment towards information disclosure, which becomes an essential components of privacy concerns.

• 응용통계연구
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• 제34권6호
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• pp.875-887
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• 2021

최대예상손실액(VaR)은 위험관리수단으로 금융에서 시장위험을 측정하는 대표적인 값이다. 본 논문에서는 다양한 자산으로 이루어진 고차원 금융자료에서 자산들 간의 의존성 구조를 잘 설명할 수 있는 성근 바인 코풀라를 이용한 VaR 추정에 대해서 논의한다. 성근 바인 코풀라는 정규 바인 코풀라 모형에 벌점화를 적용한 방법으로 추정하는 모수의 개수를 벌점화를 통해 축소하는 방법이다. 모의 실험 결과 성근 바인 코풀라를 이용한 VaR 추정이 더 작은 표본 외 예측오차를 줌을 살펴볼수 있었다. 또한 최근 5년간의 코스피 60개 종목을 바탕으로 실시한 실증 자료 분석에서도 성근 바인 코풀라 모형이 더 좋은 예측 성능을 보임을 확인할 수 있었다.

• 한국정보시스템학회지:정보시스템연구
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• 제30권3호
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• pp.137-158
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• 2021

Purpose This study aims to investigate which factors have impact on the acceptance intention of new electronic ID. For the empirical analysis, this study utilized PLS-SEM after collecting 385 survey data, and analyzed relations between each factors. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the Unified Theory of Acceptance and Use of Technology with the factors deducted from the Risk Factors. Findings The results are as follow; First, of the UTAUT factors, Performance Expectancy, Effort Expectancy and Social Influence and has positive impact on Acceptance Intention, but Facilitating Conditions doesn't have meaningful impact on Acceptance Intention. Second, of the Risk factors, Innovation Resistance has negative impact on Acceptance Intention, but Perceived Risk dose not have meaningful impact on Acceptance Intention. Finally, regulatory effect of the Promotion Focus, Prevention Focus and Gender has regulatory impact to Acceptance intention. It is expected that the implications of this study enables government effectively to offer new electronic ID.

• The Journal of Asian Finance, Economics and Business
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• 제9권3호
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• pp.203-215
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• 2022

Bayesian Networks are multivariate probabilistic factor graphs that are used to assess underlying factor relationships. From January 2005 to December 2018, the study examines how Dynamic Bayesian Networks can be utilized to estimate portfolio risk and return as well as determine inter-factor relationships among reversal profit-generating components in Pakistan's emerging market (PSX). The goal of this article is to uncover the factors that cause reversal profits in the Pakistani stock market. In visual form, Bayesian networks can generate causal and inferential probabilistic relationships. Investors might update their stock return values in the network simultaneously with fresh market information, resulting in a dynamic shift in portfolio risk distribution across the networks. The findings show that investments in low net profit margin, low investment, and high volatility-based designed portfolios yield the biggest dynamical reversal profits. The main triggering aspects related to generation reversal profits in the Pakistan market, in the long run, are net profit margin, market risk premium, investment, size, and volatility factor. Investors should invest in and build portfolios with small companies that have a low price-to-earnings ratio, small earnings per share, and minimal volatility, according to the most likely explanation.

• 대기
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• 제34권2호
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• pp.107-121
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• 2024

In this study, we empirically analyzed the impact of physical risks due to climate change on the soundness and operational performance of the financial industry by combining economics and climatology. Particularly, unlike previous studies, we employed the Seasonal-Trend decomposition using LOESS (STL) method to extract trends of climate-related risk variables and economic-financial variables, conducting a two-stage empirical analysis. In the first stage estimation, we found that the delinquency rate and the Bank for International Settlement (BIS) ratio of commercial banks have significant negative effects on the damage caused by natural disasters, frequency of heavy rainfall, average temperature, and number of typhoons. On the other hand, for insurance companies, the damage from natural disasters, frequency of heavy rainfall, frequency of heavy snowfall, and annual average temperature have significant negative effects on return on assets (ROA) and the risk-based capital ratio (RBC). In the second stage estimation, based on the first stage results, we predicted the soundness and operational performance indicators of commercial banks and insurance companies until 2035. According to the forecast results, the delinquency rate of commercial banks is expected to increase steadily until 2035 under assumption that recent years' trend continues until 2035. It indicates that banks' managerial risk can be seriously worsened from climate change. Also the BIS ratio is expected to decrease which also indicates weakening safety buffer against climate risks over time. Additionally, the ROA of insurance companies is expected to decrease, followed by an increase in the RBC, and then a subsequent decrease.

• 무역상무연구
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• 제43권
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• pp.423-453
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• 2009

Import Agency Service Mall, which provide customers not only with convenient shopping experiences but also with purchasing, warehousing, shipping, and customs clearance services, have been playing a significant role in rapidly transforming Korean consumers into global consumers. The consumers' great demand for foreign goods(services) created Import Agency Service Mall(referred to hereafter as IASM) as a new business model of distribution and consumption, which seems to grow rapidly. Accordingly, this study examined the e-Trust by analyzing the characteristics of IASM, determinants of trust, risk perception and its association with e-Trust in IASM, and finally applying the result to general internet shopping mall(referred to hereafter as GISM). The following results came out from the analysis: First, from the result of checking these two types of internet shopping mall consumers have different determinants of trust. Second, from the question if two types perceive different risk, purchasing the foreign goods, it came out that they showed critical difference in variable relevant to goods delivery and customer service. IASM perceived risk from those two variables more than GISM Third, from the review of the relationships between determinants of trust and risk perception variables, IASM showed interrelation among all the variables except between customer service and perceived risk. Fourth, the researcher examined how the risk perceived in the course of purchasing goods has an effect on consumers e-Trust. In case of IASM, risk perception relevant to customer service had an effect on consumer e-Trust. To the contrary, incase of GISM, risk perception didn't have any effect on e-Trust. Finally, from the review of interrelation between determinants of trust and consumer e-Trust, it came out that for IASM capability had an effect on consumer e-Trust and for GISM consumer service had an effect on consumer e-Trust.

• 한국노년학
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• 제38권4호
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• pp.1107-1125
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• 2018

본 연구는 치매환자와 동거하는 가족의 자살생각 위험요인과 보호요인에 따라 유형화를 하고, 각 유형집단이 자살생각에 미치는 영향을 분석하여 자살예방을 위한 실증적 기초 자료를 제시하는데 목적이 있다. 본 연구는 2013년 지역사회건강조사를 활용하여 치매환자와 동거하고 있는 가족 2,715명의 자료를 분석대상으로 하였고, 잠재계층모형분석과 이항로지스틱분석을 실시하였다. 주요분석내용은 (1) 자살생각의 위험요인과 보호요인의 유형화 (2) 유형화된 집단이 자살생각에 미치는 영향을 규명하고자 한다. 총24개의 자살생각 위험요인과 보호요인의 지표를 활용하여 잠재적 집단분석을 실시하여 '고위험-저보호요인'집단, '고위험-고보호요인'집단, '저위험-고보호요인'집단, '저위험-저보호요인'집단으로 유형화하였다. 분석 결과, '고위험-저보호요인'집단인 경우 자살생각이 가장 높았고, 유의하게 자살생각을 가지는 것으로 나타났다. 결과에 기반한 실천적 함의와 과제를 제시하였다.