• Title/Summary/Keyword: Housing Consumer Sentiment

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Time Series Analysis of the Relationship between Housing Consumer Sentiment and Regional Housing Prices in Seoul (서울시 주택소비심리와 권역별 주택가격의 시계열적 관계분석)

  • Yang, Hye-Seon;Seo, Won-Seok
    • Journal of Cadastre & Land InformatiX
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    • v.50 no.1
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    • pp.125-141
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    • 2020
  • This study investigated the time-series relationship between housing consumer sentiment and housing prices in the five major districts in Seoul and also analyzed the effect of the housing consumer sentiment on housing prices using Granger Causality and VEC (Vector Error Correction) models. To describe the key results, first of all, housing consumer sentiment and regional housing market prices were closely related to each other, and the consumer sentiment strongly affected the change of housing prices. Second, the housing consumer sentiment was confirmed to have a discriminatory effect on the housing prices among the districts in Seoul in the short term. Specifically, the housing price of the east southern district (ESD) was the main reason for the change in housing consumer sentiment in Seoul, and that the resulting impact was transferred to other districts. Third, it was analyzed that regions other than the ESD would increase the housing prices in the long term as the housing consumer sentiment turned positive, but that the ESD would see a steady tone. Fourth, in the case of relative influence by district, housing (apartment) price fluctuation in a district was generally found to be most affected by adjacent or competitive districts. Through these findings, this study confirmed that there is a clear causality between housing consumer sentiment and housing prices in each district of Seoul and that there is a discriminatory influence on housing consumer sentiment among the districts.

Impact of Large-scale Transportation Infrastructure Plan on the Housing Markets -Focus on GTX, Housing Consumer Confidence Index and Sales Prices- (광역교통시설 건설계획이 주택시장에 미치는 영향 -수도권 광역급행철도, 주택소비심리지수 및 실거래가 분석을 중심으로-)

  • Choi, Ui-Jin;Kim, Jung-Hwa
    • Journal of Digital Convergence
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    • v.19 no.9
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    • pp.9-18
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    • 2021
  • Constructing the Metropolitan Railway Express (the GTX) may have an impact on consumer confidence and housing sales price located near the planned route. This study looked at how consumers' psychology and housing prices change as the large-scale transport infrastructure plane was planned. Also, it looked at the relationship between consumer sentiment and housing prices to analyze the impact of new transportation facilities inflows. Using a correlation analysis, the relationship between the consumer sentiment index and the actual transaction price of apartments was identified. The impact of GTX on the consumer sentiment index and the actual transaction price of apartments was looked at using the Difference-in-Differences methodology. Our finding shows that the construction plan of a large-scale transportation infrastructure in the metropolitan area affects the sentiment of housing consumption and actual transactions. In a situation where the government is speeding up the construction of a wide-area transportation network such as GTX with the goal of becoming a city where people can commute to downtown Seoul within 30 minutes, policies that can stabilize the housing market in transportation hubs should be suggested.

Study on the Causality and Lead-lag relationship between Size of House sub market and the Consumer Sentiment Survey (아파트 규모별 하위시장과 소비심리지수의 선행성 및 인과성에 관한 연구)

  • Kim, Gu-Hoi;Kim, Ki-Hong;Lee, Joo-Hyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.4
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    • pp.682-691
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    • 2016
  • The purpose of this study is to explore the causal and precedence relationships between the housing sub-market and the results of a consumer sentiment survey about the housing market. This study investigates the relationships between the survey results and an apartment deal price index by size and bidding price rate in apartment auctions by extending research related to consumer sentiment surveys. We surveyed the Seoul Metropolitan Area and analyzed the results using a unit root test, cointegration test, Granger causality test, and cross-correlation test. It was confirmed that causality exists between the survey results and apartment deal price index by size and bidding price rate, and it was also confirmed that there are correlation and precedence relationships between them.

Is Mispricing in Asset Prices Due to the Inflation Illusion? (자산가격의 오류는 인플레이션의 착각 때문인가?)

  • Lee, Bong Soo
    • KDI Journal of Economic Policy
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    • v.36 no.3
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    • pp.25-60
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    • 2014
  • We examine whether the observed negative relations between stock returns and inflation and between housing returns and inflation can be explained by the inflation illusion hypothesis. We identify the mispricing component in asset prices (i.e., stock prices and housing prices) based on present value models, linear and loglinear models, and we then investigate whether inflation can explain the mispricing component using the data from three countries (the U.S., the U.K., and Korea). When we take into account the potential asymmetric effect of positive and negative inflation on the mispricing components in asset prices, which is an important implication of the inflation illusion hypothesis, we find little evidence for the inflation illusion hypothesis in that both positive and negative inflation rates do not have a negative effect on the mispricing components. Instead, we find that behavioral factors such as consumer sentiments contribute to the mispricing of asset prices.

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Effects of Real Estate Policy on Apartment Price Index in Seoul (부동산 정책에 따른 서울시 아파트 가격지수 변화방향에 대한 연구)

  • Lee, Song-Hee;Lee, Hyun-Jeong
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2011.04a
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    • pp.285-289
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    • 2011
  • he purpose of this study is to assess the effects of real estate policy on apartment price index in Seoul. To meet the research goal, this research reviewed real estate policy of the government from January of 1986 to August of 2010, and then it collected monthly apartment price index in 25 local districts of Seoul from January of 2003 to August of 2010. After 25 districts were grouped into 2 areas (14 districts in Gangnam and 11 districts in Gangbuk), the data of two areas were analyzed by using the SAS program, Cluster analysis with Ward method showed 3 clusters on each area, and with 6 clusters in total, the effects of real estate policy in the period were examined by using residual analysis. The analysis indicated two major shocks (one was from May to October of 2003, and the other was from March of 2006 to January of 2007), and the results showed that the intervention of government in the market had the asymmetric effects in bullish and bearish times. It implies that the market volatility is substantially influenced by irrational sentiments. Thus, it's suggested to devise the consumer sentiment index suitable in real estate market.

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