• Title/Summary/Keyword: Real Estate Investment

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A Study on the Economic Profitability of Hospital Building Remodeling - On the Basis of Samsung Cheil Hospital - (병원건축물 리모델링의 경제적 타당성에 관한 연구 - 삼성제일병원을 중심으로 -)

  • Kim, Dong-Jae;Choi, Yong-Jae;Kim, Gab-Youl
    • Korean Journal of Construction Engineering and Management
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    • v.11 no.1
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    • pp.70-78
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    • 2010
  • Recently our country need to change about hospital building operation and business change.The recent real estate development projects are made in very complex due to the diversity of development method or its legal aspects. Under such a real estate investment, the review of investment yield rate is fundamentally important for the one that invests and the one that finances it. Previously, the focus was in the review of the time to turn the surplus or the plan for making repayment of the borrowings, and without the analysis of sufficient investment yield rate. For a simple issue of finding the most advantageous project method, there is a need for reviewing the taxation issues, fund procurement method, legal aspects, policy analysis aspects and others. Therefore, the real estate investment is now likely to encounter the form of having the time of venture as well. In conclusion, the scientific and reasonable decision making in investing on the real estate does not suggest the absolute evaluation standard but the need and the use are more and more demanded.

Estimation and Determinants on Residential Investment Profits in Seoul: A Focus on Housing Transaction Price from 2010 to 2018 (서울시 주택 예상투자이익 추정과 영향요인에 대한 시론적 분석 - 2010-2018년 주택 실거래가를 중심으로 -)

  • Ahn, Hye-Sung;Kang, Chang-Deok
    • Journal of the Korean Regional Science Association
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    • v.36 no.1
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    • pp.37-50
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    • 2020
  • Estimating investment profits of real estate is critical to understand real estate markets and create relevant policy as real estate market and capital market combines closely. Thus, this study applied the concept of Tobin's Q to estimate investment profits for apartments as well as row-houses and multi-family homes in Seoul from 2010 to 2018. Investment profits were estimated by two approaches: subtracting the replacement cost from the transaction price and calculating ratio of the transaction price to the replacement cost, respectively. The spatio-temporal changes in investment profits were apparent in apartments compared with row-houses and multi-family homes. As a result of analyzing the spatial econometrics models, the investment profit was higher in the area with high density and new developments regardless of the housing types. The framework and key findings would be the effective reference to understand residential investment behavior, create relevant housing policy, introduce value capture of windfall, measure regional competitiveness, and estimate housing bubble.

The Effect of Real Estate Investment Factors in Investors of Sejong City on Investment Performance and Reinvestment Intention (세종시 투자자의 투자요인이 투자성과와 재투자의향에 미치는 영향)

  • Tae-Bock Park;Jaeho Chung
    • Land and Housing Review
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    • v.14 no.4
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    • pp.63-76
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    • 2023
  • Investors should understand and actively consider factors like location, future value, policies, pricing, market trends, and their income, as these elements can shift with changing local, social, economic, and policy environments. This study seeks to clarify the impact of investment factors on the performance and reinvestment intentions of Sejong City investors by surveying those who have invested in real estate. This study employs a structural equation model with confirmatory factor analysis, focusing on four aspects: value, economic and policy, psychological, and financial. We find that the investment value factor has the largest impact on investment performance, indicating that investors prioritize the investment value of real estate in Sejong City. In addition, factors increasing asset value and expected satisfaction were significant, indicating that real estate investment in Sejong City yields high returns and investor satisfaction. with a positive outlook for future reinvestment.

Fuzzy Regression Model Using Trapezoidal Fuzzy Numbers for Re-auction Data

  • Kim, Il Kyu;Lee, Woo-Joo;Yoon, Jin Hee;Choi, Seung Hoe
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.16 no.1
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    • pp.72-80
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    • 2016
  • Re-auction happens when a bid winner defaults on the payment without making second in-line purchase declaration even after determining sales permission. This is a process of selling under the court's authority. Re-auctioning contract price of real estate is largely influenced by the real estate business, real estate value, and the number of bidders. This paper is designed to establish a statistical model that deals with the number of bidders participating especially in apartment re-auctioning. For these, diverse factors are taken into consideration, including ratio of minimum sales value from the point of selling to re-auctioning, number of bidders at the time of selling, investment value of the real estate, and so forth. As an attempt to consider ambiguous and vague factors, this paper presents a comparatively vague concept of real estate and bidders as trapezoid fuzzy number. Two different methods based on the least squares estimation are applied to fuzzy regression model in this paper. The first method is the estimating method applying substitution after obtaining the estimators of regression coefficients, and the other method is to estimate directly from the estimating procedure without substitution. These methods are provided in application for re-auction data, and appropriate performance measure is also provided to compare the accuracies.

Real-Estate Price Prediction in South Korea via Machine Learning Modeling (머신러닝 기법을 통한 대한민국 부동산 가격 변동 예측)

  • Nam, Sanghyun;Han, Taeho;Kim, Leeju;Lee, Eunji
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.6
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    • pp.15-20
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    • 2020
  • Recently, the real estate is of high interest. This is because real estate, which was considered only a residential environment in the past, is recognized as a stable investment target due to the ever-growing demand on it. In particular, in the case of the domestic market, despite the decrease in the number of people, the number of single-person households and the influx of people to large cities are accelerating, and real estate prices are rising sharply around the metropolitan area. Therefore, accurately predicting the prospects of the future real estate market becomes a very important issue not only for individual asset management but also for government policy establishment. In this paper, we developed a program to predict future real estate market prices by learning past real estate sales data using machine learning techniques. The data on the market price of real estate provided by the Korea Appraisal Board and the Ministry of Land, Infrastructure and Transport were used, and the average sales price forecast for 2022 by region is presented. The developed program is publicly available so that it could be used in various forms.

Study on the Development Direction of Domestic Proptech Company: Focusing on the Real Estate Platform Information Provision Function (국내 프롭테크 기업의 발전방향에 대한 연구: 부동산 플랫폼 정보제공 기능을 중심으로)

  • Lee, Jungyun;Oh, Kyong Joo;Ahn, Jae Joon
    • Knowledge Management Research
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    • v.22 no.2
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    • pp.55-76
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    • 2021
  • The real estate market is a representative imperfectly competitive market. Real estate information is characterized by being collected and utilized in a closed environment, and market participants have to pay a lot of time, effort, and costs to acquire such information. Korea's real estate public data is increasing year by year, but it is scattered by relevant ministries. So it is difficult to search and analyze, and the level of development of the industry using it is low. In the recent 4th industrial revolution, the proptech industry has developed as an industry to efficiently provide necessary information to the real estate market. In this study, based on the case of major companies in the real estate platform field among proptech companies, we looked at the types of information provided to users, and on the contrary, explored ways to utilize the data collected from users. The results of this study are expected to provide theoretical and practical implications for ways to reduce information asymmetry in the real estate market and contribute to the development of the real estate industry.

A Study on the Location Factors of Foreign Direct Investment Firms in Korea (국내 외국인직접투자기업의 입지결정요인에 관한 연구)

  • Lee, Ho-Yeong;Park, Won-Seok
    • Journal of the Korean association of regional geographers
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    • v.17 no.1
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    • pp.58-74
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    • 2011
  • This study analyzed and compared the importance and priority of location decision factors in Foreign Direct Investment Firms managing the manufacturing business in the nation's southeastern economic zone, and in expert group by using AHP analytical technique based on examining the location theory and the prior research of real estate for industry. Also, it analyzed difference in importance and priority for location factors by corporate scale, by business category, and by location type targeting only foreign direct investment firms, and offered references necessary for location decision-making. In addition, to elicit useful information for policy related to location decision factors for foreign direct investment firms, the implications were elicited by analyzing the results recognized between foreign direct investment firms and expert group on information elements regarding investment satisfaction, business bottlenecks, and location decision process. The considerable gap was indicated in importance and priority of location decision factors considered between the nation's foreign direct investment firms and real-estate expert group for industry. As a result of analyzing by reflecting the corporate characteristic variable in location assessment model unlike before, the importance of the competitive advantage factor and the business strategic factor was indicated to be very high.

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Factors Influencing Debt Maturity Structure of Real Estate Companies Listed on the Ho Chi Minh Stock Exchange

  • NGUYEN, Thanh Nha
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.5
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    • pp.355-363
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    • 2022
  • The debt maturity structure has a significant impact on a company's financial situation. Any debt maturity structure decisions substantially impact investment decisions due to changes in capital cost and dividend decisions due to cash flow consequences. This study used the system generalized method of moment (Sys-GMM) to investigate the debt maturity structure of real estate companies listed on the Ho Chi Minh Stock Exchange (HOSE) in the duration from 2008 to 20019. It found that the firm size, liquidity, and tangible assets affected the decision on debt maturity structure. The tangible asset had the most significant impact on the possibility for companies to access long-term loans. This finding revealed that the majority of the real estate companies listed on HOSE borrowed money from banks. Such decisions are most likely affected by the collateral. Another finding of the study is that financial institutions had a major impact on loan maturity structure, whereas the effects of the financial market were negligible. Besides, the real estate companies listed on HOSE seemed not to pay attention to changes in inflation, economic growth, and institutional qualities when deciding on the debt maturity structure.

Generational Divides of Household Wealth and Propensity to Invest in Housing Asset - Baby-boomers and Eco-boomers in the Seoul Metropolitan Area - (세대 간 가계 자산구성 및 주택자산의 투자 성향 분석 - 수도권 거주 베이비부머와 에코세대를 중심으로 -)

  • Lee, Hyunjeong
    • Journal of the Korean housing association
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    • v.26 no.1
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    • pp.109-118
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    • 2015
  • The purpose of this research is to examine generational distinctions of housing investment and household wealth for two different age cohorts - 'baby-boomers' and 'eco-boomers'. In so doing, national survey data of two different periods were analyzed and the primary results are summarized as follows; aggregate assets of both generations have risen, and the rising household debt for baby-boomers was related to loans for living expenses while eco-boomer's debt was ascribed to home-buying loans. In the midst of economic slowdown, the age cohorts had conservative asset allocation in preference for risk-averting investment like savings. The main purpose of saving and investment was distinctive across the groups? retirement for baby-boomers and home purchase for eco-boomers. Both groups prioritized reduction of household liabilities and also were cautious on investing in real estate. Still home-buying was considered to be an important driver for asset accumulation. While baby-boomers were unwilling to dispose any form of owned real estate, eco-boomers found it challenging to take on a long-term investment like home-buying, especially in economic uncertainties. Rather the young generation would diversify asset allocation with better-returning investment commodities like stocks, bonds and derivatives.

Use of REITs for Developing Student Housing (대학생 기숙사 확충을 위한 REITs의 활용 방안)

  • Park, Wonseok
    • Journal of the Korean Geographical Society
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    • v.49 no.3
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    • pp.357-370
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    • 2014
  • This paper aims at analyzing the use of REITs for developing student housing. To do this, firstly, the case studies of student housing REITs in U.S. are analyzed, and secondly, possibility and schemes of using REITs in Korea for the expansion of student housing. REITs are actively participated in the investment and management of student housing in U.S. and they are vertically integrated real estate investment operating companies which play a role of design-development-investment-managementconsulting. Student housing REITs can be fully used in Korea. To do this, special strategy integrating investment and management strategy should be examined. In these context, joint-venture model and PPP-conbined model are suggested to use REITs effectively.

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