• Journal of the Korea Society of Computer and Information
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• v.15 no.11
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• pp.233-239
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• 2010

The research which sees the fact that about model found of the duty factor whom follows in old person welfare facility worker holding office duration and organized performance researches in purpose. From theoretical background about the old person welfare facility system investigated a theory about the duty factor and organized performance of literature investigation and the old person welfare facility worker. A theory analysis of positive data led based on about the effect factor of the causality which the duty factor of the old person welfare facility worker reaches in organized performance under verifying boil the modulating effect of holding office duration. The repair which is a duty factor of the old person welfare facility worker, according to the holding office duration which is a personal quality factor job satisfaction the promotion and organized natural features, business environment and organized structure are organized performance and organization immersion and loyalty degree different assumed with the fact that will affect. From positive analysis about the research object verifies a suitable degree about demographics school register analytical and study model, structural equation model leads and construction verification and modulating effect analysis under executing boil.

• Journal of Korea Society of Industrial Information Systems
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• v.2 no.2
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• pp.115-129
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• 1997

본 연구는 한국의 벤처캐피탈회사들이 투자안이 투자여부를 판단하는데 사용하는 평가모형이 실제의 성과와 비교하여 타당성을 갖는가를 분석하였다. 이를 위해 본 연구는 다음의 두가지 투자모형을 도출하여 그 내용을 비교하였다. 실제심사모형(Current Evaluation Model)은 심사과정을 거친 168개 투자안을 coxorehlse 그룹과 기각된 그룹으로 분류하여 이에 대한 판별분석을 통해 투자여부에 영향을 미친 평가요인의 우선순위를 규명하여 도출하였다. 한편, 성과모형(Performance-based model)은 앞 모형에서 채택된 투자안을 다시 성공과 실패의 두 그룹으로 분류하고 이를 종속변수로 한 판별분석을 통해 성과에 대한 평가요인의 영향도를 파악하여 개발하였다. 이 두 모형을 비교함으로써 본 연구는 우리나라 벤쳐캐피탈이 적용하는 투자평가시스템의 문제점을 파악하고 그 원인을 고찰하였다. 본 연구는 미국 등 선진국과 달리 다양한 투자환경에서 나타날 수 있는 투자평가모형의 타당성을 검증할 수 있는 접근방법을 제시했다는 점에 큰 의의가 있다. 이러한 접근을 통해 현 평가 모형의 문제점을 파악하고 개선방법을 제시할 수 있을 것이다.

• The Korean Journal of Financial Management
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• v.26 no.3
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• pp.139-169
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• 2009

This paper introduces the modified VaR which takes into account the asymmetry and fat-tails of financial asset distribution, and then compares its out-of-sample forecast performance with traditional VaR model such as historical simulation model and Riskmetrics. The empirical tests using stock indices of 6 countries showed that the modified VaR has the best forecast accuracy. At the test of independence, Riskmetrics and GARCH model showed best performances, but the independence was not rejected for the modified VaR. The Monte Carlo simulation using skew t distribution again proved the best forecast performance of the modified VaR. One of many advantages of the modified VaR is that it is appropriate for measuring VaR of the portfolio, because it can reflect not only the linear relationship but also the nonlinear relationship between individual assets of the portfolio through coskewness and cokurtosis. The empirical analysis about decomposing VaR of the portfolio of 6 stock indices confirmed that the component VaR is very useful for the re-allocation of component assets to achieve higher Sharpe ratio and the active risk management.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.245-253
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• 2020

The purpose of the research was to identify the level of accounting information system for SMBs and environmental factors, and to analyze whether the level of accounting information system affects system performance. The research method measured the AIS level using Nolan's growth phase model, and the verification of the factors affecting the situation, AIS level, and performance was verified using the regression analysis model. The results of the study are summarized as follows: In measuring the level of an accounting information system, it was found that it was in the stage of integration, which is Step 4, and the analysis of the factors influencing the level of an accounting information system showed that the uncertainty in the environment was absolutely affected.

• The Korean Journal of Applied Statistics
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• v.29 no.4
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• pp.753-771
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• 2016

Value at Risk (VaR) is widely used as an important tool for risk management of financial institutions. In this paper we discuss estimation and back testing for VaR of the portfolio composed of KOSPI, Dow Jones, Shanghai, Nikkei indexes. The copula functions are adopted to construct the multivariate distributions of portfolio components from marginal distributions that combine extreme value theory and GARCH models. Volatility models with t distribution of the error terms using Gaussian, t, Clayton and Frank copula functions are shown to be more appropriate than the other models, in particular the model using the Frank copula is shown to be the best.

• Proceedings of the SAREK Conference
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• 2008.06a
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• pp.237-242
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• 2008

DSM(Demand Side Management) is reducing the load of energy supply utility through energy conservation and energy load distribution. This kind of program is necessary especially to our country which import above 97% of energy source. But the effectiveness of this kind program is not verified well even though our country is executing the various DSM programs. This study suggests M&V(Monitoring & Verification) guideline for DSM programs which are executing in Korea and shows the results which applied to verification of DSM programs.

• The Korean Journal of Financial Management
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• v.15 no.2
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• pp.369-399
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• 1998

Most of the studies on stock price predictability using the linear model conclude that there are little possibility to predict the future price movement. But some anomalous patterns may be generated by remaining market inefficiency or regulation, market system that is facilitated to prevent the market failure. And these anomalous pattern, if exist, make them difficult to predict the stock price movement with linear model. In this study, I try to find the anomalous pattern using the ANN model. And by comparing the predictability of ANN model with the predictability of correspondent linear model, I want to show the importance of recognitions of anomalous pattern in stock price prediction. I find that ANN model could have the superior performance measured with the accuracy of prediction and investment return to correspondent linear model. This result means that there may exist the anomalous pattern that can't be recognized with linear model, and it is necessary to consider the anomalous pattern to make superior prediction performance.

• Korea Trade Review
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• v.43 no.4
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• pp.219-245
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• 2018

Recently Korea affected by the US and China trade wars, has been stagnant in the global trade market. However, the global e-commerce market is growing and emerging with new trade opportunity. The purpose of this study is to derive factors of the execution of cross border electronic commerce in the global e-commerce market and to grasp the effects of these factors on firm performance and ultimately to provide policy implications for export expansion. For this purpose, we conducted a literature review to derive the factors for firm performance in the global e-commerce market. Subsequently, conceptual research model and research hypotheses were estabilished, and empirical analysis was conducted through questionnaires. As a result of the empirical analysis, trust and ICT capability have a positive effect on firm performance, and the impact of trust on firm performance depends on the level of dispute settlement. However, ICT capability does not affect firm performance. This study differs from previous studies in that it considered global e-commerce from the perspective of the enterprise and examined factors for firm performance.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.1068-1071
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• 2005

최근 들어 기술을 담보로 하는 신용금융의 역할이 증대되면서 자금지원 대상기업의 기술평가 시스템 구축이 중요한 과제가 되고 있다. 국내에서는 기업 보유의 기술경영성과를 측정하여 한정된 자원의 효율적 배분을 위한 민간 투, 융자를 위한 기술신용평가모형'이 제시되었다 본 연구에서는 기술신용평가모델의 평가항목 타당성을 실증 분석한다. 모형의 항목 분류가 적절하게 되었는지를 검증하기 위하여 구조적 타당성을 평가하며 통계적 유의성을 검증하여 신뢰성을 평가한다. 구조적 타당성 검정을 위해 확인 요인분석을 수행하며 평가모형의 신뢰성을 검증하기 위해서는 다변량 통계방법 중의 하나인 판별분석을 수행한다. 본 연구는 기술개발 성공 및 부실발생의 예측력을 갖는 기술신용평가 시스템 구축을 위한 기초 자료로 활용될 수 있을 것이다.

• The Korean Journal of Applied Statistics
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• v.28 no.3
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• pp.541-559
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• 2015

VaR is now widely used as an important tool to evaluate and manage financial risks. In particular, it is important to select an appropriate volatility model for the rate of return of financial assets. In this study, both univariate and multivariate models are considered to evaluate VaR of the portfolio composed of KOSPI, Hang-Seng, Nikkei indexes, and their performances are compared through back testing techniques. Overall, multivariate models are shown to be more appropriate than univariate models to estimate the portfolio VaR, in particular DCC and ADCC models are shown to be more superior than others.