• Soft Computing and Machine Intelligence
• /
• 제1권1호
• /
• pp.11-23
• /
• 2021

House price prediction is a significant financial decision for individuals working in the housing market as well as for potential buyers. From investment to buying a house for residence, a person investing in the housing market is interested in the potential gain. This paper presents machine learning algorithms to develop intelligent regressions models for House price prediction. The proposed research methodology consists of four stages, namely Data Collection, Pre Processing the data collected and transforming it to the best format, developing intelligent models using machine learning algorithms, training, testing, and validating the model on house prices of the housing market in the Capital, Islamabad. The data used for model validation and testing is the asking price from online property stores, which provide a reasonable estimate of the city housing market. The prediction model can significantly assist in the prediction of future housing prices in Pakistan. The regression results are encouraging and give promising directions for future prediction work on the collected dataset.

• 토지주택연구
• /
• 제9권4호
• /
• pp.1-9
• /
• 2018

Since year 2000, French housing and rent prices rose at a rapid rate and the housing market has been overheated. Face to this phenomena, the French government enacted a new law Alur which is a legislatif tool to control the private housing rent price for the cities, where the tension of the housing market is very high. This new law has impacted the housing market in two major ways. First, for the 38 cities designated by this law, the rent price's increase rate can not rise above the IRL, which is the rent reference index. Secondly, this law also permits local authorities to control the housing rent's price following the concrete price guidance. Especially in Paris, the city applicated this method for private rental housing since 2015. This city classified its own area by 14 zones. Based on the market surveys of each sector, local authority made a guidance for private housing rent's price. The guideline is consisted of average prices, maxima and minima price by types, which is classified by the construction year, number of rooms and furnished or not. Therefore, this study aims to understand french housing rent's price control system and draw implementation for korean housing rent policies. This research is meaningful for it introduces recent foreign regislations which could be helpful to control the housing market in Korea.

• 국제학술발표논문집
• /
• The 5th International Conference on Construction Engineering and Project Management
• /
• pp.151-157
• /
• 2013

Since the sub-prime mortgage crisis from the US in 2008, the Korean housing market has plummeted. However, the deposit prices of the Korean local lease contract, Chonsei, had been increasing. This increase of Chonsei prices can be a threat to low-income people, most of whom prefer to live in houses with a Chonsei contract. In the housing and Chonsei market, there are many stakeholders with their own interest, hence, simple thoughts about housing and Chonsei market, such as more house supply, will decrease house price, would not work in a real complex housing market. In this research, we suggests system dynamics conceptual model which consists of causal-loop-diagrams for the Chonsei market as well as the housing market. In conclusion, the Chonsei price has its own homeostasis characteristics and different price behavior with housing price in the short and long term period. We found that unless government does not have a structural causation mind in implementing policies in the real estate market, the government may not attain their intended effectiveness on both markets.

• 유통과학연구
• /
• 제12권4호
• /
• pp.31-39
• /
• 2014

Purpose - This study investigates the following two issues. First, we attempt to find the important determinants of housing investment and to identify their significance rank using survey panel data. Recently, the expansion of global uncertainty in the real estate market has directly and indirectly influenced the Korean housing market; households demonstrate a sensitive reaction to changes in that market. Therefore, this study aims to draw conclusions from understanding how the impact of financial strength of the household is related to house investment. Second, we attempt to verify the effectiveness of diverse indices of financial strength such as DTI, LTV, and PIR as measures to monitor the housing market. In the continuous housing market recession after the global crisis, the government places top priority on residence stability. However, the government still imposes forceful restraints on indices of financial strength. We believe this study verifies the utility of these regulations when used in the housing market. Research design, data, and methodology - The data source for this study is the "National Survey of Tax and Benefit" from 2007 (1st) to 2011 (5th) by the Korea Institute of Public Finance. Based on this survey data, we use panel data of 3,838 households that have been surveyed continuously for 5 years. We sort the base variables according to relevance of house investment criteria using the decision tree model (DTM), which is the standard decision-making model for data-mining techniques. The DTM method is known as a powerful methodology to identify contributory variables for predictive power. In addition, we analyze how important explanatory variables and the financial strength index of households affect housing investment with the binary logistic multi-regressive model. Based on the analyses, we conclude that the financial strength index has a significant role in house investment demand. Results - The results of this research are as follows: 1) The determinants of housing investment are age, consumption expenditures, income, total assets, rent deposit, housing price, habits satisfaction, housing scale, number of household members, and debt related to housing. 2) The impact power of these determinants has changed more or less annually due to economic situations and housing market conditions. The level of consumption expenditure and income are the main determinants before 2009; however, the determinants of housing investment changed to indices of the financial strength of households, i.e., DTI, LTV, and PIR, after 2009. 3) Most of all, since 2009, housing loans has been a more important variable than the level of consumption in making housing market decisions. Conclusions - The results of this research show that sound financing of households has a stronger effect on housing investment than reduced consumption expenditures. At the same time, the key indices that must be monitored by the government under economic emergency conditions differ from those requiring monitoring under normal market conditions; therefore, political indices to encourage and promote the housing market must be divided based on market conditions.

• 한국주거학회:학술대회논문집
• /
• 한국주거학회 2006년도 추계학술발표대회 논문집
• /
• pp.412-415
• /
• 2006

The purpose of the study is to analyze systematically the characteristics of the American Housing according to the trend of American Housing Market recently. The study analyzes the transition of the Housing design since 1950's and the trend of American Housing Market through the characteristics of the social change hereafter. Above all, the study finds out the space design characteristics of the American houses due to the trend of American housing design.

• 한국건설관리학회논문집
• /
• 제6권3호
• /
• pp.144-155
• /
• 2005

1950년대 이후 주택수요의 급격한 증가와 낮은 주택투자로 인한 만성적 주택부족 사태는 정부 주도의 주택공급정책에 의존해 오고 있다. 주택시장이 수요와 공급에 의한 자율적 가격결정구조를 가지지 못하고 정부 정책에 따라 인위적으로 움직임으로써 주택가격은 폭등과 폭락을 반복하고, 아파트 미분양 등에 의한 건설사의 수익성 악화나 중소건설업체의 부도와 같은 문제점들이 발생하고 있다. 이는 건설기업이 주택시장의 구조적 문제점을 파악하고 정부의 정책에 시기 적절히 대처하지 못함으로써 주택시장적응력을 상실한 결과라 할 수 있다. 또한 정부도 주택시장의 가격에 의존한 단기적 정책 효과만을 의존함으로써 주택시장의 가격결정시스템을 약화시키는 결과를 초래한 것이다. 즉, 주택시장의 동태적 환경시스템이라는 숱을 보지 못하고 정부 정책에 의한 단기적 영향요인이라는 나무만을 봄으로써 나타난 결과라 할 수 있다. 따라서 본 연구는 주택 시장을 주택수요 영향변수와 주택공급 영향변수 그리고 그에 영향을 미치는 거시 환경적 영향변수들을 분류하고, 이들 간의 상호작용을 시스템 사고와 전통적 소비자 선택이론에 입각하여 연결함으로써 이에 의해 구성되는 인과순환구조를 구축하도록 한다. 이를 통해 주택시장이 가지는 동태성의 장기적인 형태를 피드백 루프의 존재를 통해 확인해 줌으로써 주택시장의 역동적 변화 원인을 규명하고자 한다.

• 대한지리학회지
• /
• 제32권2호
• /
• pp.245-263
• /
• 1997

주택특성별 주택공급과 가구별 사회경제적 지위에 따른 주거선택시 차별적 접근성에 의한 주택수요에 의해 주택시장은 분절화된다. 더욱이 소규모 거주지역으로서의 근린은 주택공급과 주택수요의 의사결정에 영향을 미치는 요인으로서 주택시장 분절화를 심화시키는 기능을 한다. 분절화된 주택시장은 그 메커니즘이 서로 다른 특색을 지니는 바. 기존의 거주지 분화 및 주택시장에 관한 많은 연구들은 대도시의 주택시장을 단일의 주택 시장으로 가정함으로써 하위주택시장간 특성의 차이를 간과하였다고 할 수 있다. 거주지 분화 개념이 생태적 접 근 이후의 공간적 패턴에 주로 초점을 둔 개념인 반면에. 하위주택시장 개념은 공간적 패턴 형성 이면의 과정부터 고찰함으로써 도시 거주 공간구조의 형성 과정을 설명하는데 시사하는 바가 크다. 또한 하위주택시장 분석을 통해 이주시 가구의 거주지 선택 과정에서의 사회경제적 제약과 주택기회의 차별성을 살펴 볼 수가 있어 기존의 행태적 접근의 단점을 보완할 수 있다. 본 연구에서는 서울 근교 신도시(분당ㆍ일산)를 연구 대상 지역으로하여 하위주택시장과 이주과정의 여러 특색들을 살펴 보았다.

• 한국실내디자인학회논문집
• /
• 제26권5호
• /
• pp.117-124
• /
• 2017

Current socio-demographic change that small households are increasing fast requires new business model in housing industry. Purpose of this study is to suggest a strategic direction to the private constructors by analyzing the condition of small household's housing and small-housing market in Seoul metropolitan area. With referring to literature and analyzing statistical raw data, it was found that residents of small household were residing in different type, scale and occupation of housing depending on their age, gender and region, and small housing market was at the beginning stage so that there was no dominant figure yet. Implications are as follows: private supplier should satisfy the needs of individual subgroups of small household, then should respond to the industrial change towards rental business, finally were suggested to launch a new brand of small housing.

• 토지주택연구
• /
• 제12권3호
• /
• pp.27-37
• /
• 2021

본 연구에서는 주택시장과 주식시장 간의 가격 및 비대칭적 변동성 이전효과(asymmetric volatility spillover)관계를 살펴보기 위해 주택 및 주식 가격지수를 이용하여 EGARCH 모형으로 분석하였다. 분석기간은 1986년 1월부터 2021년 6월까지 이고, IMF 외환위기 전후기간의 정보 연관성을 살펴보고자 하위기간으로 1986년 1월부터 1997년 12월까지 IMF 외환위기 이전기간과 1998년 1월부터 2021년 6월까지 이후기간으로 구분하여 분석하였다. 주택시장과 주식시장 간의 비대칭 변동성 이전효과 분석에 EGARCH 모형이 적합한 것으로 나타났다. 가격 이전효과는 주식시장에서 주택시장으로 일방향으로 존재하는 것으로 분석되었으나, 반대로 주택시장에서 주식시장으로의 이전효과는 존재하지 않는 것으로 나타났다. 비대칭적 변동성 이전효과는 주택 및 주식시장 양 시장에 존재하는 것으로 나타났다. 주택시장에서는 IMF 외환위기 이전기간에는 비대칭적 변동성이 부(-)의 효과이나 그 외에는 모두 양(+)의 효과를 보였고, 반면 주식시장에서는 IMF 외환위기 전후 모든 기간에서 부(-)의 효과를 보였다. 이는 주택시장은 악재보다 호재에 더 영향을 받고, 주식시장은 호재보다 악재에 더 영향을 받는다는 것이다. 따라서 정보의 유형별로 수익의 변동성을 식별하는 것이 중요하다.

• 한국디지털건축인테리어학회논문집
• /
• 제10권2호
• /
• pp.13-20
• /
• 2010

Uncertainty in housing price fluctuation has great impact on the overall economy due to importance of housing market as both place of residence and investment target. Therefore, estimating housing market condition is a highly important task in terms of setting national policy. Primary indicator of the housing market is a ratio between rent and transaction price of housing. The research explores dynamic relationships between Rent-Transaction price ratio, housing transaction price and jeonse rental price, using Vector Autoregressive Model, in order to demonstrate significance of shifting rent-transaction price that is subject to changes in housing transaction and housing rental market. The research applied housing transaction price index and housing rental price index as an indicator to measure transaction and rental price of housing. The price index and data for price ratio was derived from statistical data of the Kookmin Bank. The time-series data contains monthly data ranging between January 1999 and November 2009; the data was log transformed to convert to level variable. The analysis result suggests that the rising ratio between rent-transaction price of housing should be interpreted as a precursor for rise of housing transaction price, rather than judging as a mere indicator of a current trend.