• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2005.10a
• /
• pp.441-456
• /
• 2005

The purpose of this paper is to introduce the concept of negative DEA, which aims at identifying worst performers by placing them on the efficient frontier, This paper also proposes to use a layering technique instead of the traditional cut-off point approach, since this enables incorporation of risk attitudes and risk-based pricing. The results of the empirical application on credit risk evaluation validate the method which is proposed in this paper.

• Journal of the Korean Society of Costume
• /
• v.54 no.3
• /
• pp.53-64
• /
• 2004

The study was done to provide domestic fashion multi-shops with basic information about the product and price strategies through an investigation the marketing strategies for domestic multi-shop dealt with imported product only. Data were collected from Interview with a buyer or a staff of marketing department of Domestic Fashion Multi-shop dealt with Imported Product only. Through the study, it was clarified that these multi-shops showed a tendency to compose of promising brands. brands set a high value on unique character or technique, and brands of promising designer noticed at the main collection. And they also extended their lines as a total life style shop dealt with accessory. shoes and home collection as well as clothing. Therefore, they had to analyze their target consumer's life style and applied this to organization of product, brands or sizing. To maintain the balance of multi-shop they bought products keeping the balance between all the brands and didn't lose variety of concept, it was demanded to develop new brands as well. Their distribution channels had to be planned by regional characteristic that could be accepted their target consumers.

• The Journal of Asian Finance, Economics and Business
• /
• v.5 no.1
• /
• pp.11-16
• /
• 2018

This research examines the alternative ways of estimating the coefficient of non-diversifiable risk, namely beta coefficient, in Capital Asset Pricing Model (CAPM) introduced by Sharpe (1964) that is an essential element of assessing the value of diverse assets. The non-parametric methods used in this research are the robust Least Trimmed Square (LTS) and Maximum likelihood type of M-estimator (MM-estimator). The Jackknife, the resampling technique, is also employed to validate the results. According to finance literature and common practices, these coecients have often been estimated using Ordinary Least Square (LS) regression method and monthly return data set. The empirical results of this research pointed out that the robust Least Trimmed Square (LTS) and Maximum likelihood type of M-estimator (MM-estimator) performed much better than Ordinary Least Square (LS) in terms of eciency for large-cap stocks trading actively in the United States markets. Interestingly, the empirical results also showed that daily return data would give more accurate estimation than monthly return data in both Ordinary Least Square (LS) and robust Least Trimmed Square (LTS) and Maximum likelihood type of M-estimator (MM-estimator) regressions.

• Journal of Applied and Pure Mathematics
• /
• v.6 no.3_4
• /
• pp.141-154
• /
• 2024

This article offers a thorough exploration of a modified Black-Scholes model featuring two assets. The determination of option prices is accomplished through the Black-Scholes partial differential equation, leveraging the variational iteration method. This approach represents a semi-analytical technique that incorporates the use of Lagrange multipliers. The Lagrange multiplier emerges as a beacon of efficiency, adeptly streamlining the computational intricacies, and elevating the model's efficacy to unprecedented heights. For better understanding of the presented system, a graphical and tabular interpretation is presented with the help of Maple software.

• The Journal of Society for e-Business Studies
• /
• v.12 no.4
• /
• pp.85-98
• /
• 2007

This study uses conjoint analysis technique to calculate relative importance of each attribute of a specific online content: video-on-demand (VoD) services of TV soap operas. A series of interviews were conducted to identify and derive critical attributes for VoD services. Conjoint instrument was constructed using attributes identified and administered among actual viewers. Price, genre, additional service, and actors were found to be the most highly valued attributes of the VoD services. While price was the most valued attribute for female viewers, it was genre for male viewers. The result suggests that these attribute differentiation would lead to more profitable pricing scheme, and development of additional services may be critical for online content business' success.

• Journal of Korean Society of Forest Science
• /
• v.97 no.1
• /
• pp.118-126
• /
• 2008

This research was conducted to develop pricing strategy based on understanding about customer perceived value of lodging facilities in national recreation forest. The technique known as PSM (price-sensitivity measurement) was used for analysis of price sensitivity for two kinds of lodging (log-cabin and forest-hotel) and for room sizes (4, 5, 6, 7 persons). PSM questionnaire for on-site survey were distributed to 236 customers on their visit to the six national recreation forests. The main results of this study were as follows: the price sensitivity of big size was higher then small, also, the price sensitivity of log cabin was higher then forest-hotel. Present prices were within the range of acceptable prices except prices of the use of 6 and 7 person of log-cabin. From the result of this study, it was concluded that price adjustment or price promotion strategy would effective for increase in sales and marketing strategies to enhance consumers' perceptions of value should be conducted for two room types by situations.

• Journal of Korean Society for Quality Management
• /
• v.47 no.4
• /
• pp.687-700
• /
• 2019

Purpose: The purpose of this study is to investigate the interaction effects between price determinants of artworks. We expand the methodology in art market by applying machine learning techniques to estimate the price of artworks and compare linear regression and machine learning in terms of prediction accuracy. Methods: Moderated regression analysis was performed to verify the interaction effects of artistic characteristics on price. The moderating effects were studied by confirming the significance level of the interaction terms of the derived regression equation. In order to derive price estimation model, we use multiple linear regression analysis, which is a parametric statistical technique, and k-nearest neighbor (kNN) regression, which is a nonparametric statistical technique in machine learning methods. Results: Mostly, the influences of the price determinants of art are different according to the auction types and the artist 's reputation. However, the auction type did not control the influence of the genre of the work on the price. As a result of the analysis, the kNN regression was superior to the linear regression analysis based on the prediction accuracy. Conclusion: It provides a theoretical basis for the complexity that exists between pricing determinant factors of artworks. In addition, the nonparametric models and machine learning techniques as well as existing parameter models are implemented to estimate the artworks' price.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.58 no.1
• /
• pp.1-6
• /
• 2009

The traditional demand prediction was based on the technique wherein electric power corporations made monthly or seasonal estimation of electric power consumption for each area and subscription type for the next one or two years to consider both seasonally generated and local consumed amounts. Note, however, that techniques such as pricing, power generation plan, or sales strategy establishment were used by corporations without considering the production, comparison, and analysis techniques of the predicted consumption to enable efficient power consumption on the actual demand side. In this paper, to calculate the predicted value of electric power consumption on a short-term basis (15 minutes) according to the amount of electric power actually consumed for 15 minutes on the demand side, we performed comparison and analysis by applying a 15-minute interval prediction technique to the average and that to the time series analysis to show how they were made and what we obtained from the simulations.

• 한국IT서비스학회:학술대회논문집
• /
• 2007.11a
• /
• pp.485-492
• /
• 2007

정보화 사업에서 발생할 수 있는 위험(Risk)은 다양하다. 정보화 사업 관련 위험 요인 중 가장 대표적이고 보편적인 것은 발주 및 제안단계에서 발주자가 가진 요구사항의 불명확을 꼽을 수 있는데, 이로 인해 정보화 사업 수행 도중 요구범위 증가와 변경, 그리고 사업원가 구조의 악성화가 발생하게 됨은 자명하다. 그러나 안타까운 현실은 그 동안 우리나라 정보화 사업의 관행이 요구사항 불명확이라는 잠재적 위험 아래에서도 발주자와 사업자 간의 계약이 보호장치가 미흡한 확정가(firm fixed price) 방식으로 수립되어 왔다는 것이다. 확정가로 계약이 수립될 경우 사업자는 발주자의 요구사항 불명확으로 인해 파생된 원가 위험까지 불합리하게 책임져야 하는 고리에 묶이게 된다. 이러한 문제를 본질적으로 해결하는 한가지 방법은 발주자와 사업자간의 정보화 사업 획득 절차를 혁신하는 것인데, 본 논문은 이를 위해 가칭, 한국형 정보화 산업 활성화 획득 절차(KIPAP: Korea If Proliferation Acquisition Process)의 기본 개념을 고안하여 소개한다. 이 획득 절차는 정보화 사업이 내재하고 있는 요구사항의 불확실성을 계량화, 가시화하여, 그 정도에 따라 차등화된 계약방식의 선정방법 을 제시한다.

• Proceedings of the KIEE Conference
• /
• 2000.07a
• /
• pp.373-375
• /
• 2000

By DC load flow approximation, we analyzed marginal cost that is the important factor of price signal for network congestion management and expressed as a function of load. In network congestion, a large scale electric network is partitioned into subnetwork to provide a effetive price signal through zonal pricing. We propose a new network partition technique using marginal cost sensitivity with a variety of load consumption.