• Title/Summary/Keyword: real estate price

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Institutionalization for the Real Estate Electronic Commerce System (부동산정보윤리의 개념 정립 및 부동산정보윤리 확립 방안에 관한 연구)

  • Lee, Kook-Chul;Kang, Byung-Gi;Kim, Dong-Hyun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.3 no.2
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    • pp.129-142
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    • 2008
  • The present paper questionable matter and necessity of real estate information ethics, triangular position method etc. is an escape and for is. And currently the real estate information ethical violate action where becomes the problem the plan which raises an ethical level is an escape and for is. Preceding research led first of all and justice a real estate information ethics and necessity, scope, function and basic principle escape. Also at current law escape sent 'accidental incorrect reports', 'preservation of the list must erase', 'light plagiarism' and 'information is inappropriate managed' in the object of the real estate information ethics which excepts the illegal act. With the real estate relation specialty led interview together and currently actual condition real estate current price information where becomes the problem and article for sale information type nonly-ethical and also the cause analyzed together. This led and also the real estate information ethical raising plan did escape together.

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Relation Analysis Between REITs and Construction Business, Real Estate Business, and Stock Market (리츠와 건설경기, 부동산경기, 주식시장과의 관계 분석)

  • Lee, Chi-Joo;Lee, Ghang
    • Korean Journal of Construction Engineering and Management
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    • v.11 no.5
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    • pp.41-52
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    • 2010
  • Even though REITs (Real Estate Investment Trusts) are listed on the stock market, REITs have characteristics that allow them to invest in real estate and financing for real estate development. Therefore REITs is related with stock market and construction business and real estate business. Using time-series analysis, this study analyzed REITs in relation to construction businesses, real estate businesses, and the stock market, and derived influence factor of REITs. We used the VAR (vector auto-regression) and the VECM (vector error correction model) for the time-series analysis. This study classified three steps in the analysis. First, we performed the time-series analysis between REITs and construction KOSPI(The Korea composite stock price index) and the result showed that construction KOSPI influenced REITs. Second, we analyzed the relationship between REITs and construction commencement area of the coincident construction composite index, office index and housing price index in real estate business indexes. REITs and the housing price index influence each other, although there is no causal relationship between them. Third, we analyzed the relationship between REITs and the construction permit area of the leading construction composite index. The construction permit area is influenced by REITs, although there is no causal relationship between these two indexes, REITs influenced the stock market and housing price indexes and the construction permit area of the leading composite index in construction businesses, but exerted a relatively small influence in construction starts coincident with the composite office indexes in this study.

Effects of the Real Estate Transaction Tax on Saudi Arabia's Economic Cycles

  • HARIRI, Mohammad Majdi
    • Asian Journal of Business Environment
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    • v.12 no.1
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    • pp.25-33
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    • 2022
  • Purpose: The purpose of this paper is to determine the effects of the Real Estate Transactions Tax (RETT) on the economic cycles of Saudi Arabia. A secondary purpose is to determine the effects of RETT on the construction and real estate sectors of Saudi Arabia. Research design, data and methodology: The data used is retrieved from the General Authority of Statistics, Saudi Central Bank and the World Bank Open Data. Econometric models of multiple linear regression with dummy variables have been conducted to achieve the objectives and to quantitatively verify the hypotheses. Results: With the VAT exemption in real estate transactions and its substitution with RETT, a positive effect on the economy and the real estate sector has been observed. However, this tax reform has not produced any significant effects in the construction sector. Conclusions: The main conclusion of the present research is that the real estate market has a major influence on economic cycles. After the tax reform, a reduction in the contribution of taxes on real estate transactions to GDP was detected. For the construction sector, after the tax reform, it is estimated that there will be an insignificant reduction in the contribution of the real estate price index, and of the taxes on real estate transactions, to GDP.

A Study on the Index Estimation of Missing Real Estate Transaction Cases Using Machine Learning (머신러닝을 활용한 결측 부동산 매매 지수의 추정에 대한 연구)

  • Kim, Kyung-Min;Kim, Kyuseok;Nam, Daisik
    • Journal of the Economic Geographical Society of Korea
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    • v.25 no.1
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    • pp.171-181
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    • 2022
  • The real estate price index plays key roles as quantitative data in real estate market analysis. International organizations including OECD publish the real estate price indexes by country, and the Korea Real Estate Board announces metropolitan-level and municipal-level indexes. However, when the index is set on the smaller spatial unit level than metropolitan and municipal-level, problems occur: missing values. As the spatial scope is narrowed down, there are cases where there are few or no transactions depending on the unit period, which lead index calculation difficult or even impossible. This study suggests a supervised learning-based machine learning model to compensate for missing values that may occur due to no transaction in a specific range and period. The models proposed in our research verify the accuracy of predicting the existing values and missing values.

A Study on the Design for Contents System of Real Estate based on Web Engineering (웹 공학 기반의 부동산 컨텐츠 시스템 설계에 관한 연구)

  • Kim Young-sun
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.6 s.38
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    • pp.55-64
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    • 2005
  • The design for an real estate system offer reliability information at once which of the information to extensive data collection of real estate and an real estate price decision Real estate policy make reflect to the appear and apply. The taste of an real estate buyer is various today that We have been changed into a buyer center in the market of the while of a salesman center Real estate area range of which brokerage business have been reduced gradually which are charging the task of an real estate intermediation. We take the influence to implementation of an real estate information system which real estate field range of brokerage business with real estate mediation business take charge have been reduced gradually. An Real estate circulation market are leading the change of the environment to be brings the change of the method of an real estate transaction. This paper has the purpose that lead new internet age to the design for contents system of real estate based on Web engineering, accomplish revitalization of real estate information system that offer Web service information.

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A Study on the Mutual Influence of Indicators of the Real Estate Auction Market (부동산 경매시장 지표간의 상호 영향에 관한 연구)

  • Jeong, Dae-Seok
    • The Journal of the Korea Contents Association
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    • v.19 no.12
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    • pp.535-545
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    • 2019
  • If the real estate auction market indicators are relevant and meaningful, they can be meaningful information to the real estate market in connection with general real estate. The purpose of this study is to examine whether time-supply logic is applied in auction market by identifying time series correlations for the number of auctions, the auction rate, and the auction price rate, which are major indicators of real estate auction market. The real estate types were classified into three categories: residential real estate, land, and commercial real estate. The monthly time series of auctions in the metropolitan real estate were compiled for 96 months. Based on this data, the auction market model for each type was established and the mutual influences between the indicators were analyzed. As a result, the supply and demand indicators, the number of auctions and the auction rate, showed the nature of supply and demand according to the supply and demand logic of the market. However, the correlation was high for residential real estate and relatively low for commercial real estate. the auction rate has a long-term impact on price indicators, especially residential real estate, which is quantitatively explanatory and significant. The three auction-related indicators differ in degree, but there is a correlation, especially for residential real estate, which can be useful information for policy making.

A Study on the Taxation Equity between Non-Residential Real Estate and Apartment Houses (비주거용 부동산과 아파트의 과세형평성에 관한 연구)

  • Im, Dong Heok;Choi, Min Seub
    • Korea Real Estate Review
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    • v.27 no.3
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    • pp.87-102
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    • 2017
  • The purpose of this study was to compare the taxation equity of non-residential collective real estate based on its standard market prices set by National Tax Service and those for taxation set by the Ministry of Government Administration and Home Affairs with that of the apartment houses in Seoul, South Korea. The study findings were as follows. First, the analysis results of the standard market price rates of non-residential collective real estate pointed to a huge gap in the assessment rate (AR) of the taxation standards among the Gu offices. Second, there was a big coefficient of dispersion (COD) in the standard market prices of non-residential collective real estate, which confirmed the presence of horizontal inequity. Finally, there was regressive vertical inequity, which leads to the undervaluation of high-value assets, in the standard market prices of non-residential collective real estate. The evaluation of the standard market prices of non-residential collective real state should thus reflect the market prices and the addition and assessment of the land and buildings to achieve taxation equity. Based on these findings, it is hoped that this study will make a significant contribution to the improvement of the official announcement system for non-residential real estate based on real transactions during the shift to such system.

A Study for the Development of a Bid Price Rate Prediction Model (낙찰률 예측 모형에 관한 연구)

  • Choi, Bo-Seung;Kang, Hyun-Cheol;Han, Sang-Tae
    • Communications for Statistical Applications and Methods
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    • v.18 no.1
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    • pp.23-34
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    • 2011
  • Property auctions have become a new method for real estate investment because the property auction market grows in tandem with the growth of the real estate market. This study focused on the statistical model for predicting bid price rates which is the main index for participants in the real estate auction market. For estimating the monthly bid price rate, we proposed a new method to make up for the mean of regions and terms as well as to reduce the prediction error using a decision tree analysis. We also proposed a linear regression model to predict a bid price rate for individual auction property. We applied the proposed model to apartment auction property and tried to predict the bid price rate as well as categorize individual auction property into an auction grade.

Chaos analysis of real estate auction sale price rate time series (부동산 경매 낙찰가율 시계열의 Chaos 분석)

  • Kang, Jun;Kim, Jiwoo;Lee, Hyun Jun;Oh, Kyong Joo
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.2
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    • pp.371-381
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    • 2017
  • There has never been research on Chaos analysis using real estate auction sale price rate in Korea. In this study, three Chaos analysis methodologies - Hurst exponent, correlation dimension, and maximum Lyapunov exponent - in order to capture the nonlinear deterministic dynamic system characteristics. High level of Hurst exponent and the extremely low maximum Lyapunov exponent provide the tendency and the persistence of the data. The empirical results give two meaningful facts. First, monthly time lags of the correlation dimension are coincident with the time period from the approval auction start day to the sale price fixing day. Second, its weekly time lags correspond to the time period from the last day of request for sale price allocation to the sale price fixing day. Then, this study potentially examines the predictability of the real estate auction price rate time series.

A Comparative Study on the Determinants of Bid Price Ratio Apartments and Factories in the Seoul Metropolitan Area (수도권 아파트와 공장 경매낙찰가율 결정요인에 관한 비교 연구)

  • Shin, Chang-gook;Chun, hae-jung
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.255-266
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    • 2021
  • Investment demand for factory facilities has increased due to the balloon effect caused by housing price regulation. This study investigated the impact of the real estate market and macroeconomic factors on the bid price ratio of apartment auctions and factory auctions, focusing on the metropolitan area. To this end, we reviewed theories and previous studies on real estate auctions, and examined how macroeconomic variables affect bid price ratio of apartments and factories using the panel vector autoregressive model. It was found that the increase in the apartment bid price ratio increases as the participation in apartment auctions increases. However, as the factory bid price ratio increases, the factory bid price ratio does not increase, it was confirmed that the positive (+) relationship between the successful bid price ratio and the bid price ratioe does not exist, unlike previous studies. Based on the analysis results, it is suggested that the real estate market and macroeconomic factors should be considered for the stable operation of the related relevant auction system. This study has limitations in that it is limited to the metropolitan area. In the future, research that expands the scope of research to the whole country and provinces should be conducted.