• The Korean Journal of Financial Studies
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• v.12 no.1
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• pp.63-88
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• 2006

본 연구는 기업가치를 측정하기 위해서 활용될 수 있는 두 가지의 새로운 모형을 개발하였다. 두 가지 모형은 모두 자산가치와 수익가치의 가중평균으로 기업의 본질가치를 표현할 수 있다는데 공통적인 특징이 있다. 첫째 모형은 도산확률 하의 세후 기업가치 가중평균모형이다. 현금흐름할인법으로 알려진 전체기업가치 평가방법론(entity approach)에 기초한 기업가치 평가모형인 이원흠 최수미(2002)의 지식자산가치 평가모형 및 이원흠 최수미(2004)의 가중평균 가치평가모형으로부터 도산확률 하의 세후 가중평균 기업가치 평가모형을 도출하였다. 이 모형은 기업가치는 수익가치 및 실물자산의 가치와 지급이자의 절세효과, 예상도산비용 등 4부분으로 구성된다는 것을 보여 주고 있다. 둘째 모형은 이익조정에 의한 비정상발생액을 감안한 기업가치 가중평균모형이다. 회계학 분야에 주로 발전한 발생액을 고려한 이익의 질(quality of earnings)을 기업가치 측면에서 평가할 수 있는 새로운 모형이다. 이익의 질을 고려한 기업가치 평가모형도 첫째 모형의 도출논리에 의거하여 세후 혹은 도산확률 하의 세후 기업가치 평가모형으로 확장할 수 있다. 새로이 개발된 가중평균 가치평가모형을 통해 추정한 수익가치와 자산가치의 가중치, 가중평균자본비용 등의 정보는 상장주식의 목표가격 평가, 투자등급 판정 등에 활용될 수 있을 뿐만 아니라, 신규상장주식의 공모가, 비상장기업의 합병가액산정, 지주회사의 가치평가 등 비상장기업의 가치평가 분야에 광범위하게 응용될 수 있을 것이다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.2 no.1 s.2
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• pp.63-73
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• 2003

COSMOS(Cycle, Offset, Split Model for Seoul), a real-time traffic adaptive signal system. estimates queue lengths on each approach on the basis of arithmetic average spot speeds calculated on loop detectors installed at each of two adjacent lanes. In this paper, A new method, a traffic volume-weighted average method, was studied and compared with the existing arithmetic average method. It was found that the relationship between the ratio of volumes of two lanes and the difference of average speed of each lane has a linear form. With field data, The two methods were applied and the proposed method shows more stable and reasonable queue estimation results.

• Journal of the Korean Data and Information Science Society
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• v.8 no.2
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• pp.153-161
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• 1997

A Korean exporience life table(male) is constructed by using a mixture of weighted moving average(WMA) model and Gompertz' parametric survival model based on 25,000,000 insured of major 6 life insurance companies from 1988 to 1992. The graduated values are taken as those which minimize the composite measure of fittness and smoothness. Moreover, we propose closed form estimators for three parameters of Gompertz' model.

• The Korean Journal of Applied Statistics
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• v.34 no.4
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• pp.623-632
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• 2021

Through this study, we studied how to consider environment variables (such as temperatures, weekend, holiday) closely related to electricity demand, and how to consider the characteristics of Korea electricity demand. In order to conduct this study, Smoothing method, Seasonal ARIMA model and regression model with AR-GARCH errors are compared with mean absolute error criteria. The performance comparison results of the model showed that the predictive method using AR-GARCH error regression model with environment variables had the best predictive power.

• Journal of the Korean Data and Information Science Society
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• v.21 no.5
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• pp.831-839
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• 2010

Least squares support vector machine (LS-SVM) is a kernel trick gaining a lot of popularities in the regression and classification problems. We use LS-SVM to propose a iterative algorithm for a nonlinear generalized autoregressive conditional heteroscedasticity model in the mean (GARCH-M) model to estimate the mean and the conditional volatility of stock market returns. The proposed method combines a weighted LS-SVM for the mean and unweighted LS-SVM for the conditional volatility. In this paper, we show that nonlinear GARCH-M models have a higher performance than the linear GARCH model and the linear GARCH-M model via real data estimations.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.859-862
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• 2004

유역평균강우량은 강우-유출모형을 통하여 유출량을 산정할 경우에 사용되며, 산정 방법에는 산술평균법, Thiessen 가중법, 등우선법 등이 있으나 일반적으로 Thiessen 가중법을 많이 적용하고 있다. Thiessen 가중법의 유역평균 강우량 산정방법은 각 관측소가 지배하는 면적(지배면적)을 전체면적으로 나누어 가중치(Thiessen계수)를 구한 후 여기에 각 관측소의 강우량을 곱하고 이를 합산함으로써 유역평균 강우량을 산정하는 방법이다. 본 연구에서는 면적비로 구해지는 Thiessen 계수의 대안을 찾기 위해 대상 유역으로는 영산강 1지류인 지석천 유역을 선정하였고, 단층퍼셉트론을 이용하여 동면, 청풍, 능주의 강우자료를 Input, 능주지점의 유출자료를 Output으로 상호 상관분석으로부터 한 개의 유출 사상에 대해 가장 높은 상관계수를 선택하여 Input 자료를 재구성하였다. 재구성 한 자료를 이용하여 훈련시키고 여기서 발생한 가중치를 Thiessen 계수의 대안의 값으로 추천한다.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.303-307
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• 2003

The purpose of this paper is to develop the model of the customer's satisfaction score for web site providing science & technology contents. The most important issue for the customer's satisfaction score is providing more appropriate information service about science & technology. Internet questionnaire method was used to collect data of the satisfaction level of customers. Data was collected from December 15th though December 30th, 2002. There were 2, 092 respondents to questionnaire. Statistical analysis were used in this Study. The score of the customer's satisfaction for web site providing science & technology contents is 87.13 which is from our customer's satisfaction score model.

• The Korean Journal of Applied Statistics
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• v.18 no.2
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• pp.271-280
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• 2005

Kriging methods as traditional spatial data analysis methods and geographical weighted regression models as statistical analysis methods are compared. In this paper, we apply data from the Ministry of Environment to spatial analysis for practical study. We compare these methods to performance with monthly carbon monoxide observations taken at 116 measuring area of air pollution in 1999.

• Communications for Statistical Applications and Methods
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• v.19 no.3
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• pp.367-379
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• 2012

In baseball rankings, prediction has been a subject of interest for baseball fans. To predict these rankings, (based on 2011 data from Korea Professional Baseball records) the arithmetic mean method, the weighted average method, principal component analysis, and principal component regression analysis is presented. By standardizing the arithmetic average, the correlation coefficient using the weighted average method, using principal components analysis to predict rankings, the final model was selected as a principal component regression model. By practicing regression analysis with a reduced variable by principal component analysis, we propose a rank predictability model of a pitcher part, a batter part and a pitcher batter part. We can estimate a 2011 rank of pro-baseball by a predicted regression model. By principal component regression analysis, the pitcher part, the other part, the pitcher and the batter part of the ranking prediction model is proposed. The regression model predicts the rankings for 2012.

• The Korean Journal of Applied Statistics
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• v.28 no.4
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• pp.703-719
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• 2015

We propose an extension of the Lee and Jho (2015) mean reverting the two factor mortality model by incorporating a period-specific cohort effect. We found that the consideration of cohort effect improves the mortality fit of Korea male data above age 65. Parameters are estimated by the weighted least squares method and Metropolis algorithm. We also emphasize that the cohort effect is necessary to choose the base survival index to calculate longevity bond issue price. A key contribution of the article is the proposal and development of a method to calculate the longevity bond price to hedge the longevity risk exposed to Korea National Pension Services.