• Title/Summary/Keyword: apartment sales price

Search Result 44, Processing Time 0.027 seconds

A Preliminary Study on Correlation Analysis of Sales Price of Apartments by Region (공동주택 실거래가격의 지역별 상관성 분석에 관한 기초연구)

  • Park, Hwan-Pyo
    • Proceedings of the Korean Institute of Building Construction Conference
    • /
    • 2016.05a
    • /
    • pp.249-250
    • /
    • 2016
  • Korean government has announced declared prices of apartment reflecting market condition each year. Therefore, on that basis, apartment owners have used as basic data trading apartments and the government has been used to calculate the tax. However, the sales prices and declared prices of apartment has occurred difference depending on the region and the brand. This study has analyzed and compared regional differences in sales price of apartments. The results of this study, we have known that sales price of apartments was a big difference depending on the region and the gross area. Especially, Seoul and Gyeonggi Province are the highest. And sales price of Southeast and urban area are the highest in Seoul. In the future, it is necessary that gap analysis between sales price and declared prices of apartment. And It is needed to develop apartment index considering the region and the gross area.

  • PDF

A Study on Evaluation Method and Application of Purchase Consideration Items for Estimation of Apartment Price (아파트 분양가 산정을 위한 구매 고려 항목별 평가 방법 및 적용에 관한 연구)

  • Kim, Ki-Hyuk;Pyeon, Su-Jeong;Lee, Donghoon
    • Proceedings of the Korean Institute of Building Construction Conference
    • /
    • 2018.05a
    • /
    • pp.163-164
    • /
    • 2018
  • Every construction company should consider the apartment price when building apartment houses because the sales price has a great impact on the rate of apartment sales. Here, the average apartment price and characteristics of an apartment complex are factors that determine the sales price. However, the existing apartment pricing method fails to properly reflect the weight of each factor. Therefore, the study investigates factors that impact the apartment price and importance of each factor. It examines the apartment pricing method taking into account of the weight.

  • PDF

Determinant Factors for the Apartment Unit Prices of Large Scale Apartment Complexes over 1,000 Households in Seoul Metropolitan Area (서울시 1,000세대 이상 대규모 아파트단지의 아파트가격 결정요인에 관한 연구)

  • Kim, Kwang-Young;Ahn, Jeong-Keun
    • Journal of the Korean housing association
    • /
    • v.21 no.6
    • /
    • pp.81-90
    • /
    • 2010
  • The existing most studies on the apartment sales prices have been limited to relatively small size apartment complexes and have not categorized the apartment complexes based on the number of households. Some of them uses the apartment-related indices such as regional value estimates, sales unit price, and view right values. In the case of Seoul Metropolitan Area, the size of apartment complex has been growing to the level of large complex over more than 1,000 households through new town development, redevelopment and reconstruction. People prefers to choose a large scale complex instead of small complex based on their perception that a large scale apartment complex provides more conveniences in living. The result of this analysis revealed that the variables chosen as important determinants of the hedonic price model for large scale apartment complexes were square meters of apartment unit, rent/price ratio, number of bays, distance to the nearest subway station, and heating system method. This means that the sales price of apartment unit will be higher as the square meters of apartment unit increase, as the rent/price ratio decreases, as the distance to the nearest subway station increases, and as the number of bays increase.

An Analysis of the Key Factors Affecting Apartment Sales Price in Gwangju, South Korea (광주광역시 아파트 매매가 영향요인 분석)

  • Lim, Sung Yeon;Ko, Chang Wan;Jeong, Young-Seon
    • Smart Media Journal
    • /
    • v.11 no.3
    • /
    • pp.62-73
    • /
    • 2022
  • Researches on the prediction of domestic apartment sales price have been continuously conducted, but it is not easy to accurately predict apartment prices because various characteristics are compounded. Prior to predicting apartment sales price, the analysis of major factors, influencing on sale prices, is of paramount importance to improve the accuracy of sales price. Therefore, this study aims to analyze what are the factors that affect the apartment sales price in Gwangju, which is currently showing a steady increase rate. With 6 years of Gwangju apartment transaction price and various social factor data, several maching learning techniques such as multiple regression analysis, random forest, and deep artificial neural network algorithms are applied to identify major factors in each model. The performances of each model are compared with RMSE (Root Mean Squared Error), MAE (Mean Absolute Error) and R2 (coefficient of determination). The experiment shows that several factors such as 'contract year', 'applicable area', 'certificate of deposit', 'mortgage rate', 'leading index', 'producer price index', 'coincident composite index' are analyzed as main factors, affecting the sales price.

Study on Estimating New Apartment Sales Price Using Transaction price (실거래가를 이용한 분양 아파트의 적정분양가와 계약률 책정에 영향을 미치는 요인에 관한 연구)

  • Kim, Kwang-Suk;Park, Won-Gap
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.6 no.4
    • /
    • pp.567-572
    • /
    • 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.

A Study of the Deregulation of New Apartment Sales Price and the Stock Price of Construction Firms (분양가 자율화와 건설회사의 주가)

  • Yang, Choonsik
    • Korean Journal of Construction Engineering and Management
    • /
    • v.20 no.5
    • /
    • pp.3-11
    • /
    • 2019
  • This study is designed to examine the stock price of construction firms which are affected by the deregulation of new apartment sales price. As empirical methodology, it uses the traditional event study analysis to test the influence of the deregulation of new apartment sales price and the regression analysis to test which variables are related. The results of this study are summarized as follows : First, the cumulative abnormal return of stock is positive when government announced the deregulation of new apartment sales price. The cumulative abnormal return of stock for 21 trading day before -10 to +10 day is 25.51% which is significant different from zero at 1 percent level. This result suggests that the deregulation of new apartment sales price conveys good information to stock market that the firms performance will be good in the future. Second, in the regression analysis this study shows that the cumulative abnormal return of stock is related to firm's profit margin ratio.

The Analysis of Importance Ratio Factors of Sales Price for Apartment Building Construction Projects (공동주택의 분양가 결정을 위한 영향요인 도출 및 중요도 분석)

  • Yang, Ok-Hee;Kim, Min-Seok;Hwang, Uk-Sun;Kim, Yong-Su
    • Korean Journal of Construction Engineering and Management
    • /
    • v.12 no.5
    • /
    • pp.127-136
    • /
    • 2011
  • The purpose of this study is analyzed the importance ratio factors of sales price for apartment building construction projects. For this Study, Nine apartment buildings that sold in Seoul, Gyenggi, Chuncheong is selected. The study suggested eight influence factors through interview with experts, research related references, and analysis of cases. Based on those factors, Importance analysis is performed by using AHP method. The result of this study are as follows: 1) Influence factors of sales price are drawn as cost, site, housing, transportation, region, ground, policy, investment factor. 2) In the case of Seoul, The priority order of price influence factors consist of investment factor(16.0%), policy factor(14.6%), and cost factor(13.9%). In the case of Gyenggi, The priority order of sales price influence factors consist of region factor(15.9%), transportation factor(13.8%), and investment factor(13.4%). In the case of Chungcheong, The priority order of sales price influence factors consist of region factor(17.1%), transportation factor(16.4%), and housing factor(14.9%).

A Study on the Changes of Planning Factors of Apartment Houses in Newspaper Advertisements - Focused on the comparison in times of deregulation of the price ceiling - (신문광고에 나타난 아파트 계획요소의 변화에 관한 연구 - 분양가 자율화 전.후의 비교를 중심으로 -)

  • Park, Joo-Yeon;Kim, Yu-Hee;Yoo, Chang-Geun;Cho, Yong-Joon
    • Journal of the Korean housing association
    • /
    • v.17 no.6
    • /
    • pp.73-81
    • /
    • 2006
  • This study focused on the fact that changes of policies have influence on housing culture of Korea and analyzed changes in apartment houses planning since the deregulation of the price ceiling through newspaper advertisement. The research compared and analyzed advertisements of apartment houses sales appeared in the 'Gwangju Il-Bo' daily newspaper from 1990 to 2003 by planning factors. : The results are as follows. Reliability and economy were important factors in deciding apartment before the deregulation of the price ceiling policy, but as apartment houses were merchandised after the deregulation of the price ceiling policy, brand of enterprise and image of apartment houses were highlighted more. In the environment of apartment complex, the concerns of location after the deregulation of the price ceiling policy were more increased than before its policy and it means emphasis on living environment for better life. The apartment housing unit and building showed change of the apartment housing unit plan considering residents, high quality of interior design and high-tech and differentiation of equipment since the deregulation of the price ceiling policy. The ground space has been parked or afforested and the underground space is used for parking lot as a part of environment-friendly in the apartment complex planning. The deregulation of the price ceiling policy made brand, image, high-grade and differentiation, and got many changes in the planning side of the apartment sales advertisement.

A Study on the Regional Conditions and Characteristics of Apartment Ownership Resale (지역별 아파트 분양권 실태 및 특성 연구)

  • Kim, Sun-Woong;Suh, Jeong-Yeal
    • Journal of Cadastre & Land InformatiX
    • /
    • v.48 no.2
    • /
    • pp.5-20
    • /
    • 2018
  • This paper aims to analyze characteristic by the cities focused on the ratio of new apartment resale that is one of the apartment unit sale market, which has been increased recently. So, this study examined characteristics of population, apartment trade & sale, housing with 162 cities and counties and performed multiple regression analysis with dependent variable, ratio of new apartment resale. As a result. the factors affecting the ratio of new apartment resale are 7variables, apartment sales rate, transfer of ownership, apartment turnover rate, sale volume, regional apartment rate, population increasing rate, housing average apartment sale price rate. In terms of the increase in apartment sales prices, the rate of sales price increase was relatively low in areas where the transaction rate for apartment sales is high, and the number of apartment sales right transactions increased as the number of other ownership transfers rose. As a result, the data will be based on the improvement of the government's policies and systems to stimulate the transaction focused on the real estate agents in the apartment market.

A Regression Model for Forecasting the Initial Sales Ratio of Apartment Building Projects (아파트 프로젝트의 초기 분양률 예측 회귀모델)

  • Son, Seung-Hyun;Kim, Do-Yeong;Kim, Sun-Kuk
    • Journal of the Korea Institute of Building Construction
    • /
    • v.19 no.5
    • /
    • pp.439-448
    • /
    • 2019
  • There are various factors affecting the success and failure of an apartment building project. However, after the unit sale price has been determined and the sale has started, the most important factor affecting on the project is the initial sales ratio for one month after the sale. Generally, developers predict an initial sales ratio by various data such as economic situation, the trend of the housing market, and the house price near the business place. However, it is very difficult for these factors to be calculated quantitatively in connection with the initial sales ratio. Therefore, the purpose of this study is to develop a regression model for forecasting the initial sales ratio of apartment building projects. For this study, pre-sales data collection, correlation analysis between influencing factors, and regression model development are performed sequentially. The results of this study are used as basic data for predicting the initial sales ratio in the feasibility analysis of apartment building projects and are used as key data for the development of the risk management model.