• Korean Journal of Construction Engineering and Management
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• v.18 no.1
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• pp.90-99
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• 2017

This paper is to understand the impact of systematic risk on capitalization rate at office building market and retail real estate market in Seoul and to see if CAPM(Capital Asset Pricing Model) is applicable. For this, this paper considers eight different office building and retail real estate markets in Seoul city area, called GBD, YBD, CBD, and Other Business District, and GBD, SBD, CBD, and Other Business District, to find out if there is any positive-linearity between systematic risk and capitalization rate for each business district not. Then, this paper tries to verify applicability of CAPM to four office building markets and four retail real estate markets with Black, Jensen, and Scholes(1972)'s statistical methodology. At last, the result shows that there is positive linearity between systematic risk and capitalization rate only GBD except Others(YBD, CBD, and other business district) in office building market. In addtion, SBD and CBD, they could be figured out that it is not efficient market because increasing systematic risk declines capitalization rate in retail real estate market. However, CAPM is not applicable in all office building(GBD, YBD, CBD, and other business district) and retail real estate markets(GBD, SBD, CBD, and other business district) in Seoul.

• International Area Studies Review
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• v.15 no.3
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• pp.263-283
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• 2011

As China has achieved continuous high growth, innovative housing system and rapid growth of housing finance for thirty years since its reforming and opening, Chinese real estate industry has developed rapidly, investment in real estate has increased remarkably and price of real estate has increased continuously. In particular, as China joined WTO in 2001, overseas companies have expanded investment in Chinese real estate market with chances of potential profit. Recently, management of foreign capital real estate companies has expanded from housing to office buildings and luxury shops. Besides, management has expanded from real estate development to various tasks such as management, brokerage service, lease management and financial investment. In order to measure relationship between FDI in Chinese real estate and Chinese housing price, this document utilizes not only various data such as housing price, FDI to real estate, domestic loan of real estate, interest rate and exchange rate in 35 major cities across China but also previous researches to set an empirical analysis model and analyze effects of foreigners' direct investment in Chinese real estate on Chinese housing price.

• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.202-211
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• 2013

The research is based on the theory of cognitive psychology that a decision maker creates an internal belief through environment information process and that personal behavior is determined as a means of belief practice. This study implemented a language network analysis to understand the 16th President Noh Moo-hyun"s real estate policy belief who was a key decision maker of Korea. The results of this study are as follows. First, the chief variables of real estate policy recognized by president Rho Mu Hyun included civil economy and real estate speculation and so on. Second, the chief variables of real estate policy recognized by president Rho Mu Hyun did indicate weak correlation with other diverse economic variables. Third, the analysis shows that in practicing the real estate policy, excessive civil economy related with the real estate policy and the obsession with civil life variables worked as reason to pursue social contest rather than social agreement. It is thought that this study result will contribute to policy theory in explaining the policy decision-making process from the perspective of cognitive psychology.

• Korean Journal of Construction Engineering and Management
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• v.19 no.2
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• pp.96-106
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• 2018

The government adopted activation policy of real estate to overcome low economic growth rate. Real estate activation plan adopted by the government raised credit limit by lowering the regulation, and reduced real estate investment cost by reducing the base rate. Also, delayed transfer tax on multi-house owner to activate real estate investment and resolved purchase right resale. Relief of real estate regulate caused increase of housing sales and price increase, and the real estate market changed to overheating aspect such as premium upon completion of lot sale in a short time. Such market atmosphere greatly increased household debs as owners own houses based on 'financial debt' instead of their income. Since 2017, real estate policy was reinforced to reduce household debts and lending rate was raised due to rise of base rate, accordingly, burden of household debt is expected to increase. This research suggested a plan for the Financial Supervisory Service to efficiently manage the financial world by analyzing the cause and problem of household debs.

• Korean Journal of Construction Engineering and Management
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• v.16 no.2
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• pp.86-96
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• 2015

Real estate market has rapidly grown by active use of project financing in the early 2000s. However, many projects have been in trouble due to global economic recession after that period. It is mainly because those projects were pushed forward a business without comprehensive business feasibility analysis. This paper investigated current evaluation system for real estate development projects and then introduced new evaluation system including evaluation factor and criteria for real estate development projects to prevent implementation of the project without business value and to be able to evaluate potential projects in objective manner. This new evaluation system for real estate development projects can be applied to any type of real estate development projects by modifying evaluation items and weighting factor in accordance with the type and characteristics of project. Through the new evaluation system, the evaluation process for real estate development projects will be able to be standardized, be consistent, and the results of evaluation can be accumulated in consistent way.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.5
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• pp.757-763
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• 2011

This study was intended to identify the problem of the lien in relation to the real estate auction and present its improvements in terms of procedural laws. To resolve the problem of the lien in the real estate auction, it is valid that the Vollstreckungsgericht needs to set the certain standard in relation to the possession of real estate and notify it at the first date of sale by judging whether the lien can be established. And the institutional improvement is required to obligate one to report the lien in the procedures of the real estate auction and reinforce the survey of the present condition of the lien. And it is necessary to impose the more public confidence on the statement of sale by including the matter of the lien in it. In addition, it is necessary to reinforce legal punishment to the false and fictitious lienholder and establish the legal stability of the lien in the process of the real estate auction.

• Informatization Policy
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• v.26 no.1
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• pp.46-61
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• 2019

The Fourth Industrial Revolution has been revolutionizing industry and education. This paper proposes an education platform, Smart Space EduPlatform (SSEP), for the real estate industry, aimed at educating the basic real estate technology (RETech) for workers in the real estate industry so they can achieve the highest and best use of the real estate in the smart environment. The habitat of SSEP is driven by the donation system ensuring sustainability, various technical functions such as tools for content production and learning participation, and learning behavior frameworks each in form of a learner, a teacher, and a helper. Services of SSEP consist of 17 important RETech lectures under 6 categories-planning and design, decision-making, management, economics, construction, and equipment-and project-based learning (PBL) curriculums. The lectures are provided along with video contents, additional learning materials and learning management service, while teachers' workshops, learner invitation and registration management, curriculum operation services are offered for the PBL curriculums.

• The Journal of Information Systems
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• v.30 no.2
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• pp.147-163
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• 2021

Purpose The study aims to predict real estate prices by utilizing regional characteristics. Since real estate has the characteristic of immobility, the characteristics of a region have a great influence on the price of real estate. In addition, real estate prices are closely related to economic development and are a major concern for policy makers and investors. Accurate house price forecasting is necessary to prepare for the impact of house price fluctuations. To improve the performance of our predictive models, we applied LSTM, a widely used deep learning technique for predicting time series data. Design/methodology/approach This study used time series data on real estate prices provided by the Ministry of Land, Infrastructure and Transport. For time series data preprocessing, HP filters were applied to decompose trends and SOM was used to cluster regions with similar price directions. To build a real estate price prediction model, SVR and LSTM were applied, and the prices of regions classified into similar clusters by SOM were used as input variables. Findings The clustering results showed that the region of the same cluster was geographically close, and it was possible to confirm the characteristics of being classified as the same cluster even if there was a price level and a similar industry group. As a result of predicting real estate prices in 1, 2, and 3 months, LSTM showed better predictive performance than SVR, and LSTM showed better predictive performance in long-term forecasting 3 months later than in 1-month short-term forecasting.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.649-651
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• 2021

In recent years, O2O services for real estate sales are widely distributed in web platforms and apps. This allows sellers, buyers, and real estate brokers to quickly and conveniently conduct real estate sales and charter contracts. However, in the O2O-based real estate sales information system, it wastes time and money for real estate buyers due to the posting of fake information, partial correction of the sales information, and intentional non-posting of the sales information. Therefore, we propose a method of detecting the false or not of real estate property information that can occur on the web platform, and design and implement a proposal system for this. To this end, we propose a method of detecting personal identity and property information based on DID, a distributed identity authentication protocol. The false real estate sales information detection system proposed by us can determine the existence of real estate sales information, partially correct the false sales information, or prove whether or not intentionally unpublished in three steps.

• Journal of Cadastre & Land InformatiX
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• v.53 no.1
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• pp.65-81
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• 2023

In recent times, there has been a surge in media coverage regarding fraudulent real estate lease scams. These scams have been attributed to speculators who made imprudent gap investments, in response to the sudden decline in real estate prices. The government has established new measures to safeguard tenants and prevent fraudulent real estate lease schemes in response to the growing incidence of tenants falling victim to such scams. Although there have been active research efforts on laws and regulations aimed at protecting tenants, such as the Tenant Protection Act and leasehold registration orders, there is an urgent need for research on the consistency of information across public ledgers, as real estate fraud has surged due to information asymmetry among these ledgers. This study aims to explore matching methodologies using matching keys for building information from real estate-related public ledgers, such as the building register and the road name address ledger, as well as to examine ways to integrate these ledgers with other public ledgers.