• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.1017-1019
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• 2014

자본주의의 꽃이라 할 수 있는 주식시장은 기업의 정량화된 가치를 매매하는 곳이다. 또한 파생거래는 주식시장의 위험회피 목적으로 만들어졌다. 파생시장이 투기적인 목적으로 악용되기도 하지만 기관투자가에게는 헤지거래의 중요한 수단임은 명백한 사실이다. 파생거래에서 옵션 거래는 투기적인 성향의 개인 거래자와 시장을 선도하는 기관 거래자 간의 치열한 대결로 볼 수 있다. 옵션은 상품별로 시시각각 변하는 이론가와 실거래가가 존재한다. 이론가를 기준으로 한 이격도 매매는 레버리지가 큰 옵션 거래에서 효과적인 위험회피 방법이다. 하지만 이론가는 현실적인 시장가와 괴리가 있을 수밖에 없다. 보다 현실적인 평균값을 구하기 위해서는 실제 옵션가의 통계만이 확실한 방법이다. 이를 위해서 옵션 만기일에 상품별로 차트정보를 수집하여 데이터베이스화하면 효과적이다. 이는 매우 반복적인 작업으로 이를 효과적으로 수행할 수 있는 에 이전트를 개발하였다. 이를 이용하면 실거래가를 기본으로 하는 평균값을 추출할 수 있으며, 지수차이와 잔여일에 따른 옵션 평균값에 근거하여 이격도 매매에 활용할 수 있다.

• 주택과사람들
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• s.196
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• pp.88-89
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• 2006

실거래가 신고로 인해 공인중개사들의 수입이 노출되면서 세금 부담이 더 많이 늘어갔다. 간이 과세자에서 일반 과세자로 전환되면 부가가치세를 납후해야 하는데, 이때 소비자들이 부가가치세를 떠안게 될 가능이 높아졌다. 중개사들도 부동산 경기가 좋지 않은 상황에서 부가가치세를 내지 않게 해달라고 주장하고 있다. 부가가치세에 대한 현실적인 조치와 올바른 법정수수료 규제에 대해 살펴보았다.

• Proceedings of the CALSEC Conference
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• 2003.09a
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• pp.300-306
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• 2003

① 대표적인 소기업 업종인 미용업은 기업형 미용실을 중심으로 IT기술을 활용하여 경영의 효율성, 고객서비스의 다각화, 고부가가치의 창출을 도모하고 있음. ② 미용업 시장의 변화와 함께 IT기업도 패키지 소프트웨어 서비스, ASP(Application Service Provider)서비스, 웹서비스 등의 다양한 형태를 통해 이러한 시장의 요구에 대응 ③ 저렴하고, 전문적이며, 고객요구에 대한 발빠른 대응의 가능한 미용업 특화 ASP 사업모델은 가장 경쟁력 있는 사업모델 ④ 미용실 종합관리 프로그램을 ASP형태로 제공하는 헤어짱은 '규모의 경제'에 도달함으로써 ASP사업모델의 약점인 '고정비용에 대한 대규모의 투자' '수익회수기간의 장기화'를 극복한 대표적인 소기업 ASP 서비스 브랜드(중략)

• Journal of the Korean association of regional geographers
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• v.23 no.1
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• pp.106-117
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• 2017

Recently, urban regeneration is being actively promoted in Korea and among those Jeonju Hanok Village is the major project which is the most consistently promoted. For this, visitors of Jeonju Hanok Village are skyrocketing. However, due to this condition, various problems are occurring, especially about commercialization. In this regard, this study is to suggest management of the Jeonju Hanok Village and new orientation in the policy, by analyzing physical, economic, and social status due to urban regeneration for Jeonju Hanok Village which has lost its identity and been commercialized. For this, the study analyzed changes in land usage and real transaction price, SNS data. Firstly, in the physical analysis, the study realized that there is commercialization going around the main streets of Jeonju Hanok Village. Due to the rapid commercialization, living spaces for locals are replaced to commercial spaces for tourists, and the emigration of locals is caused by economic/environmental damages with the degradation of housing environments. Secondly, in the economic analysis, there was no gap in real transactions among streets in 2010 but has shown a valid gap in 2016. The traffic of tourists is heavy and the real transaction prices of streets that are adjacent to major tourist sights rose the most. Rising real transaction prices are a positive phenomenon in the aspect of the city regeneration but it is concerned that they can be perceived as investment subjects. Thirdly, in the social analysis, tourists are using commercial aspects more than historical or cultural sites, and have lots of interest on those. However, because there are also lots of opinions about the commercialization of Hanok Village, we think the plans which can establish the identity of Hanok Village should be prepared. The study has its meaning on analyzing reality based on the land usage, real transaction, SNS data and suggesting political implications.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.95-118
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• 2017

Recent centrally the downtown area, the transaction between the row housing and multiplex housing is activated and platform services such as Zigbang and Dabang are growing. The row housing and multiplex housing is a blind spot for real estate information. Because there is a social problem, due to the change in market size and information asymmetry due to changes in demand. Also, the 5 or 25 districts used by the Seoul Metropolitan Government or the Korean Appraisal Board(hereafter, KAB) were established within the administrative boundaries and used in existing real estate studies. This is not a district classification for real estate researches because it is zoned urban planning. Based on the existing study, this study found that the city needs to reset the Seoul Metropolitan Government's spatial structure in estimating future housing prices. So, This study attempted to classify the area without spatial heterogeneity by the reflected the property price characteristics of row housing and Multiplex housing. In other words, There has been a problem that an inefficient side has arisen due to the simple division by the existing administrative district. Therefore, this study aims to cluster Seoul as a new area for more efficient real estate analysis. This study was applied to the hedonic model based on the real transactions price data of row housing and multiplex housing. And the K-Means Clustering algorithm was used to cluster the spatial structure of Seoul. In this study, data onto real transactions price of the Seoul Row housing and Multiplex Housing from January 2014 to December 2016, and the official land value of 2016 was used and it provided by Ministry of Land, Infrastructure and Transport(hereafter, MOLIT). Data preprocessing was followed by the following processing procedures: Removal of underground transaction, Price standardization per area, Removal of Real transaction case(above 5 and below -5). In this study, we analyzed data from 132,707 cases to 126,759 data through data preprocessing. The data analysis tool used the R program. After data preprocessing, data model was constructed. Priority, the K-means Clustering was performed. In addition, a regression analysis was conducted using Hedonic model and it was conducted a cosine similarity analysis. Based on the constructed data model, we clustered on the basis of the longitude and latitude of Seoul and conducted comparative analysis of existing area. The results of this study indicated that the goodness of fit of the model was above 75 % and the variables used for the Hedonic model were significant. In other words, 5 or 25 districts that is the area of the existing administrative area are divided into 16 districts. So, this study derived a clustering method of row housing and multiplex housing in Seoul using K-Means Clustering algorithm and hedonic model by the reflected the property price characteristics. Moreover, they presented academic and practical implications and presented the limitations of this study and the direction of future research. Academic implication has clustered by reflecting the property price characteristics in order to improve the problems of the areas used in the Seoul Metropolitan Government, KAB, and Existing Real Estate Research. Another academic implications are that apartments were the main study of existing real estate research, and has proposed a method of classifying area in Seoul using public information(i.e., real-data of MOLIT) of government 3.0. Practical implication is that it can be used as a basic data for real estate related research on row housing and multiplex housing. Another practical implications are that is expected the activation of row housing and multiplex housing research and, that is expected to increase the accuracy of the model of the actual transaction. The future research direction of this study involves conducting various analyses to overcome the limitations of the threshold and indicates the need for deeper research.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.4
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• pp.567-572
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• 2011

The purpose of the study is aimed at estimating the reasonable price and forecasting the sales rate of the new apartment, using transaction data of the existing apartment that is close to perfectly competitive markets. In the present paper, therefore, attempts were made to determine the relationship between the existing apartment market and the new housing market. Also conducted an empirical analysis that complemented the problems of precedent studies.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.9-18
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• 2021

Constructing the Metropolitan Railway Express (the GTX) may have an impact on consumer confidence and housing sales price located near the planned route. This study looked at how consumers' psychology and housing prices change as the large-scale transport infrastructure plane was planned. Also, it looked at the relationship between consumer sentiment and housing prices to analyze the impact of new transportation facilities inflows. Using a correlation analysis, the relationship between the consumer sentiment index and the actual transaction price of apartments was identified. The impact of GTX on the consumer sentiment index and the actual transaction price of apartments was looked at using the Difference-in-Differences methodology. Our finding shows that the construction plan of a large-scale transportation infrastructure in the metropolitan area affects the sentiment of housing consumption and actual transactions. In a situation where the government is speeding up the construction of a wide-area transportation network such as GTX with the goal of becoming a city where people can commute to downtown Seoul within 30 minutes, policies that can stabilize the housing market in transportation hubs should be suggested.

• Korean Journal of Construction Engineering and Management
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• v.25 no.4
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• pp.45-52
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• 2024

Estimating the sales price of a residential building development project is difficult because of it has many complex variables such as location, environment, and economic conditions. Many previous studies related to influence factors of the sales price is to identify by survey of experts and it is few studies by comparing with actual sales price. Accordingly, the purpose of this study is to identify the factors influenced on the projects by using correlation analysis from collected actual data in this study. For the purpose, first, the factors such as economy, location, housing, financial environmental factors were identified from previous studies. Second, data were collected on actual sale prices and selected factors. Finally, the actual sales price and factors were compared and analyzed by using correlation analysis. As a result, the R² values of economy, location, housing and financial environmental factors were over 0.5 respectively. Therefore, it was confirmed that these factors were significantly correlated with actual sales price. The results of this study are expected to be utilized as basic data for research and development of a new sale prices prediction model.

• Journal of Distribution Research
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• v.12 no.1
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• pp.105-123
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• 2007

Recently, the beauty service industry in Korea is growing rapidly as women have increased role in society and consumers have more diversified desire for beauty. In that sense, studies on the environment of transaction is necessary to maintain the customers who use beauty service which Is one of the most prominent services in Korea. However, there is a lack of systematic investigation on that. Under those circumstances, this study tries to propose strategies by shedding light on the reasons of store loyalty based on empirical study. Furthermore, securing regular customers is deemed to be the most important thing as the competition among stores are getting fiercer in the wake of increase in the number of beauty salons. In that light, this study tries to shed light on the transaction cost clearly which affects the store loyalty, and focuses on the development of integrated research model for the transaction cost related to the environmental characteristics of beauty service industry and for the store loyalty.

• Proceedings of the CALSEC Conference
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• 2002.01a
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• pp.444-447
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• 2002

ㆍ 분산 컴퓨팅 개발을 위한 객체 기술 ㆍ 표준 객체 지향 아키텍쳐 프레임웍 ㆍ Object Management Architecture(OMA) ㆍ N-tier ㆍ 컴포넌트 ㆍ 애플리케이션 플랫폼 ㆍ EJB, COM, CORBA