DOI QR코드

DOI QR Code

Portfolio of Real Estate Price Index for ICT Environment Study on Diversification Effect

ICT 환경에서 부동산 가격지수 포트폴리오 분산효과에 관한 연구

  • 장대섭 (전주대학교대학원 부동산학과) ;
  • 민규식 (전주대학교 금융보험부동산학부)
  • Received : 2013.11.25
  • Accepted : 2014.03.10
  • Published : 2014.03.31

Abstract

ICT environment to the survey released by the Bureau of Statistics 2012 Household Finance. Korean Welfare survey 24.9% of all households in financial assets, real estate is about three times more than 69.9%, respectively. The problem is that the information is slow and income deciles(deciles 1-4), a relatively high proportion of households with low(78.8 to 69%) of the real estate assets of the expansion of the world economy with low growth and low uncertainty, work from home due to the information changes in the structure of the economy, such as increases in real estate prices remain exposed to the risk of a phenomenon such as Pour House Pour Talent and low-income people is bound to be more serious symptoms. This low correlation is by constructing a composite asset portfolio, the weighted average risk of the individual assets while increasing overall revenue decrease that risk is based on the principle of portfolio by type and different areas in the ICT environment in a portfolio of real estate price index low correlation to financial assets by including the effect of dispersion stable complex asset portfolio and empirical Growth was divided.

ICT환경에서 통계청이 조사하여 발표한 2012년 가계금융. 복지조사에 따르면 우리나라 전체가구중 금융자산은 24.9%, 부동산은 이보다 약 3배나 많은 69.9%로 조사되었다. 문제는 정보화가 더디고, 소득분위(1~4분위)가 낮은 가구가 상대적으로 높은 비율(78.8%~69%)의 부동산자산을 보유함으로써 세계경제의 불확실성 확대와 저성장과 저소비, 정보화로 인한 재택근무 증가 등과 같은 경제구조의 변화로 부동산 가격하락 리스크에 그대로 노출되어 있어 하우스푸어와 랜트푸어와 같은 현상은 저소득층에게 더 심각한 현상이 될 수밖에 없다. 이에 상관관계가 낮은 복합자산으로 포트폴리오를 구성함으로써 개별자산 위험의 가중평균보다 전체수익은 높이면서 위험은 감소시킬 수 있다는 포트폴리오 원리에 기초하여 지역과 유형별로 상이한 ICT환경에서 부동산가격지수로 구성된 포트폴리오에 상관관계가 낮은 금융자산을 포함시킴으로써 복합자산 포트폴리오의 분산효과를 안정형과 성장형으로 나눠 실증 분석하였다.

Keywords

References

  1. M.-H. Cha, "Portfolio Risk Management and Real Estate Price Index Futures," Gangnam University doctoral dissertation, 2011. pp. 15-16.
  2. Y.-K. Jang, Securities Investments. Seoul: Sinyeongsa, 2013.
  3. K.-S. Sing and D.-H. Kim, "Protection of military bases and military facilities in the real estate assets held by the Ministry of National Defence study on the efficient management," J. of The Korea Institute of Electronic Communication Sciences, vol. 7, no. 1, pp. 181-183, 2011.
  4. K.-S. Sing, "Department of Defense and the local goverment's property management on ways to mutuaresearch," J. of The Korea Institute of Electronic Communication Sciences, vol. 6, no. 4, 2011, pp. 573-580.
  5. K.-S. Sing, H.-J. Kim, and D.-H. Kim, "Relocation of troops to the preferences of the key factors study," J. of The Korea Institute of Electronic Communication Sciences, vol. 7, no. 6, 2012, pp. 1500-1503.
  6. J.-M. Lim, "asymmetric risk measure portfolio performance compared to using a real estate," the 14th house Real Estate Research Article, no. 1, Korea Real Estate Research Society, 2008, p. 9.
  7. S.-S. GO, "real estate asset portfolio, including research complex - part of the account about the proper asset allocation," Financial Research, vol. 18, no. 2, Korea Institute of Finance, 2004. p. 175.
  8. E.-R. Larsen and E.-S. Dag, "Rising Inequality of Housing : Evidence from Segmented House Price Indices," Housing Theory & Society, vol. 21, Issue 2, 2004, pp. 77-88. https://doi.org/10.1080/14036090410034357