• Title/Summary/Keyword: 부동산 경기지수

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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.

A Effect Analysis of the Housing Policy on the Housing Price (주택 ${\cdot}$ 부동산정책이 주택가격에 미치는 영향분석)

  • Noh, Jin-Ho;Han, Suk-Hee;Kim, Bong-Sik;Ko, Hyun;Kwon, Yong-Ho;Kim, Jae-Jun
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2006.11a
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    • pp.665-668
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    • 2006
  • After foreign exchange trouble, Korean government became effective an economy-invigorating policy that to raise the housing demand and transaction. In result, the rate economic growth kept up a high growth rate and the market recovered. But an economy-invigorating policy of continuance caused an excessive boom of housing market in the second half of 2001. Therefore Korean government enforced a speculation-restraint policy. But it caused a instability of economics. This study is to analyze the effect between the housing policy and the housing cost and is to apply the basis data of the next housing policy.

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Analysis of KOSPI·Apartment Prices in Seoul·HPPCI·CLI's Correlation and Precedence (종합주가지수·서울지역아파트가격·전국주택매매가격지수·경기선행지수의 상관관계와 선행성 분석)

  • Choi, Jeong-Il;Lee, Ok-Dong
    • Journal of Digital Convergence
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    • v.12 no.5
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    • pp.89-99
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    • 2014
  • Correlation of KOSPI from stock market and Apartment Prices in Seoul HPPCI from real estate market has been found from this research. Furthermore, from the comparison of those indicators' flows, certain precedence was found as well. The purpose of this research is to analyze correlation and precedence among KOSPI, Apartment price in Seoul, HPPCI and CLI. As for predicting KOSPI of stock market and real estate market, it is necessary to find out preceding indices and analyzing their progresses first. For 27 years from the January 1987 to December 2013, KOSPI has been grown by 687%, while CLI showed 443%, Apartment of Seoul showed 391%, HPPCI showed 263% of growth rate in order. As the result of correlation analysis among Apartment of Seoul, CLI, KOSPI and HPPCI, KOSPI and HPPCI showed high correlation coefficient of 0.877, and Apartment of Seoul and CLI showed that of 0.956 which is even higher. Result from the analysis, CLI shows high correlation with stock and real estate market, it is a good option to watch how CLI flows to predict stock and real estate market.

A Study about the Real Estate' Policy Impact on house prices (Focusing on the time series analysis and regression) (부동산정책이 주택가격에 미치는 영향에 관한 연구 (시계열분석과 회귀분석 중심으로))

  • Ko, Pill-Song;Park, Chang-Soo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.2
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    • pp.205-213
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    • 2010
  • This study was to analyze the past regime's real estate policy and the time-series data on real estate price index from 1986 to 2009 in 24 years. Also, the real estate index and macroeconomic variables, the impact on house price index variable conducted to regression analysis and to analyze whether and how much is affected. Analyzed as follows: First, Korea's real estate policy was the post-policy and the past regime's real estate policy was inconsistent with each other. Second, in the normal phase whenever real estate issues, the measures of the strengthening regulation and of the economic recovery were only to repeat periodically. Third, the timing and means of policy enforcement was an inappropriate and Real estate market was getting worse at the time whenever a real estate policies performed. Fourth, The apartments prices index of the housing types rose the highest and were the most popular for 24 years. Increase or decrease the amount of the price index for apartments, Roh Tae-woo(65.0%) - Kim Dae-jung (42.5%) - Roh Moo-hyun (32.8%) were in order. Fifth, the results of the regression analysis carried out: The impact on housing prices among independent variables were followed by Cap Construction- one per capita income - Housing consumer price index - Accompanying Composite Index - Trailing Composite Index - Home subscription Subscriber account - Leading Composite Index.

Diversified Investment of Commercial Real Estate Assets - Focused on Office Building and Retail Real Estate Markets in Seoul - (상업용 부동산 시장의 분산투자에 관한 연구 - 서울지역의 오피스 빌딩 및 소매용 부동산 시장을 중심으로 -)

  • Park, Jongkwon;Jun, Jaebum
    • Korean Journal of Construction Engineering and Management
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    • v.16 no.6
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    • pp.144-155
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    • 2015
  • This paper is to understand investment's efficiency and performance of commercial real estate assets diversified by use and district. To do so, this paper divides two different commercial real estate markets(office build market and retail real estate market) in Seoul city by district into "GBD(Gangnam Business District), YBD(Yeouido Business District), and CBD(Central Business District)" and "GBD(Gangnam Business District), SBD(Shinchon Business District), and CBD(Central Business District)" respectively, configures these districts each other to structure portfolios as its portion varies based on Markowitz's Mean-Variance principle, and looks at risk-return relationship of portfolios to find out efficiency, performance, and optimal investment chosen based upon Sharpe's Performance Index. As a result, the portfolio configured by "10 to 30% of office building asset at CBD" and "70 to 90% of retail real estate asset at CBD" is shown to be the most optimal, suggesting the highest quarterly Sharpe's performance index of 2.7118~2.7776 with quarterly rate of return of 1.826%~1.838% and quarterly standard deviation of 0.573~0.589. Furthermore, it is obvious that diversified portfolio configured by use(office-retail) shows better investment performance than that by district with same type of asset(office-office or retail-retail). Finally, results driven from this research will play an important role to stimulate real estate and construction markets through enlarging ideas as to diversified investment by use and district on real estate indirect investment products.

A study on the forecasting models using housing price index (주택가격지수 예측모형에 관한 비교연구)

  • Lim, Seong Sik
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.1
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    • pp.65-76
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    • 2014
  • Housing prices are influenced by external shock factors such as real estate policy or economy. Thus, the intervention effect is important for the development of forecasting model for housing price index. In this paper, we examined the degree of effective power of external shock factors for forecasting housing price index and analyzed time series models for efficient forecasting of housing price index. It is shown that intervention models are better than other models in forecasting results using real data based on the accuracy criteria.

An Empirical Analysis on the Relationship Between the Real Estate Policies and the Stock Market -Centering around the Stocks of Construction Industry- (부동산 정책과 주식시장의 연계성에 관한 실증연구 -건설업종 주식을 줌심으로-)

  • Jo, Yong-Dae
    • Korean Journal of Construction Engineering and Management
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    • v.9 no.2
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    • pp.146-158
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    • 2008
  • This paper examines the relationship between the real estate policies of Korean government and the stock market of Korea. It is the purpose of this paper whether the government policies are effective or not when the Korean government release new real estate policies outlining higher taxes and more housing supply as part of its plan to suppress speculation. This paper studies the properties of daily stock returns of the construction sector in Korea securities market when the government announcements of the real estate policies are released. On the demand side, multiple home owners and those purchasing property for speculative purposes are expected to be hit the hardest If the government policies are effective. The empirical results of this paper show that most of the cumulative abnormal returns(CARs) are statistically significant from the year 2002 to the year 2006 except the year 2004.

Investigation on the Correlation between the Housing and Stock Markets (주택시장과 주식시장 사이의 상관관계에 관한 연구)

  • Kim, Sang Bae
    • Korea Real Estate Review
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    • v.28 no.2
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    • pp.21-34
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    • 2018
  • The purpose of this study is to investigate the effect of macro-finance variables on the correlation between the housing and stock markets because understanding the nature of time-varying correlations between different assets has important implications on portfolio allocation and risk management. Thus, we adopted the AG-DCC GARCH model to obtain time-varying, conditional correlations. Our sample ranged from January 2004 to November 2017. Our empirical result showed that the coefficients on asymmetric correlation were significantly positive, implying that correlations between the housing and stock markets were significantly higher when changes in the housing price and stock returns were negative. This finding suggested that the housing market has less hedging potential during a stock market downturn, when such a hedging strategy might be necessary. Based on the regression analysis, we found that the term spread had a significantly negative effect on correlations, while the credit spread had a significantly positive effect. This result could be interpreted by the risk premium effect.

Impact of the Opening Policy of China's A-Share Market on the Stock Market (중국 A주 시장의 대외개방이 주가에 미친 영향)

  • Furong Jin;Shanji Xin
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.4
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    • pp.711-719
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    • 2024
  • This study examined the policy of opening up the Chinese A-share market and its performance in four aspects: institutional investors system, cross-trading system with overseas stock markets, inclusion of A-shares into global indices, and establishment of a new board. Then, the impact of these policies on the Stock Index was empirically analyzed, and it was confirmed that institutional investors system such as QFII and RQFII, cross-trading system with overseas stock markets such as Shanghai-Hong Kong Stock Connect and Shenzhen-Hong Kong Stock Connect, inclusion of A-shares into global indices such as the MSCI EM index and FTSE Russell index, and the establishment of a new board of the Science Innovation Board all had statistically significant positive impacts on the stock index. Based on the results of these analysis, we conclude that China should further expand its stock market opening to the outside world, that mutual efforts are needed to alleviate political conflicts and improve understanding, and that easing industry regulations, including real estate, will help China's economic recovery and foreigners' investment in the A-share market.

Study on Effects of Alternative Investment Goods in the Era of IT in Relation to Bid Rate of Neighboring Shopping Area (IT 시대의 대체투자재가 근린상가 낙찰가율에 미치는 영향에 관한 연구)

  • Jung, Chan-Kook;Kim, Dong-Hyun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.3
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    • pp.377-386
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    • 2014
  • This study analyzed how alternative investment goods would affect a market in a neighboring shopping area in order to provide parties involved in the investment market of this neighboring shopping area with standards which would help them when they try to make a reasonable determination. The study estimated forms and explanation power of the effects of a bid rate of a neighboring shopping area, and came up with those results as follows. Increases in the representative macro economic indicators, the composite stock price index and the fluctuation rate of land price, including the real estate business would have a positive influence on the market of the neighboring shopping area as playing a circumstantial evidence of market recovery and yet, the increase in interest rate, the alternative investment goods, would reduce the relative price-earnings ratio which would, eventually, negatively affect the charm of the investment in the market of the neighboring shopping area. The study, now, understands that housing with a feature of consumers' goods and neighboring shopping area with a feature of investment goods would not have great concern with each other as they are observed to be two different markets from an aspect of interactionism.