Until recently, most people have invested in a traditional portfolio consisting of stocks, bonds and real estates based on the three-division method of properties in Korea. However, this study analyzed the impact of the composition of a portfolio combining representative real estate indirect investment products such as REITs and real estate funds on the investment performance. For this purpose, the empirical analysis using the mean variance model, which is the most appropriate method for the portfolio composition, was used. For variables used in this study, mixed asset portfolios were classified into Portfolio A through Portfolio G depending on the composition of assets, and the price indices selected as KOSPI, KRX BOND, REITs, TRUS Y7, HanwhaLasal, and OFFICE(Seoul). In order to measure the return and risk of the mixed asset portfolio, correlation analysis, mean variance analysis, sensitivity analysis and principal component analysis were performed to derive the efficient frontier, and along with the minimum variance portfolio and the optimal risky portfolio, changes in the risk and return according to the increase in the proportion of real estates and real estate indirect investment products were analyzed. The analysis results in this study are as follows. In case of the minimum variance portfolio, Portfolio D, which combined bonds, stocks, REITs and real estate funds, and Portfolio G, which added the office, the actual real estate, were shown to have the lowest risk. On the other hand, it was shown that Portfolio C, which consisted of bonds, stocks and real estate funds, and Portfolio F, which added the office, the actual real estate, had the highest return. In case of the optimal risky portfolio, Portfolio B composed of bonds, stocks and real estate funds and Portfolio D with added REITs had the lowest risk while Portfolio F composed of bonds, stocks, offices and real estate funds, and Portfolio G with added REITs were the most profitable. Therefore, based on the optimal risky portfolio, it was found that Portfolio F and Portfolio G with low risks and the highest returns could be classified as risk preference while Portfolio B and Portfolio D with low returns and low risk could be classified as risk aversion. In addition, other portfolios could be classified as risk neutral. The analysis of sensitivity response of target return according to changes in the asset proportion showed that KRX BOND and KOSPI fluctuated generally depending on the asset composition. In addition, when the proportion of the real estate fund and the office, an actual real estate asset, increased, the return increased, and when that of REITs decreased, the return increased. On the other hand, the efficient frontier showed that Portfolio G and Portfolio F were the most efficient since they were located at the upper left corner, and Portfolio A and Portfolio B were relatively inefficient since they were located at the lower right. As a result, it has been analyzed that it was more effective to compose a portfolio including REITs and real estate funds, which were real estate indirect investment products that eliminated the illiquidity limitation of real estates than real estates, the traditional three-division method of properties. Particularly, when real estate funds were included as investment assets, the overall risk and return of the portfolio were positively affected. Therefore, it is possible to minimize the risk of investors and reduce the cost of ownership of the real estate by solving the illiquidity problem that is the biggest disadvantage of the direct investment, In addition, it is considered that it is more necessary to reinvigorate the real estate indirect investment market where small amounts can be invested. Particularly, it is considered that there is a need for the system where investors are offered various opportunities by expanding investment institutions, developing various products and expanding new sales channels, and the companies receiving the investment stabilize businesses and generate profits to be distributed to investors through securing funds and new investments.
제1장 서 론 1제1절 연구의 배경 및 목적 11. 연구의 배경 12. 연구의 목적 2제2절 연구의 범위 및 방법 31. 연구의 범위 32. 연구의 방법 4제3절 연구의 구성 및 체계 5제2장 이론적 고찰 8제1절 부동산 간접투자의 개요 및 현황 81. 부동산 간접투자의 개요 82. 부동산 간접투자의 현황 12제2절 부동산 간접투자상품의 의의와 특성 171. 부동산투자회사(REITs) 172. 부동산펀드 32제3절 포트폴리오의 개념 및 이론 401. 위험과 투자자 유형 402. 재산 3분법(투자 3분법) 483. 포트폴리오 이론 50제4절 선행연구 고찰 및 차별성 711. 선행연구고찰 712. 선행연구와의 차별성 79제3장 분석대상 및 방법 80제1절 분석대상 801. 국고채 3년물(KRX BOND) 802. 주가지수(KOSPI) 813. 오피스 가격지수 824. 부동산투자회사(REITs) 845. 부동산펀드 85제2절 분석방법 861. 상관분석 862. 평균분산 모형 873. 민감도분석 894. 주성분분석 90제4장 실증분석 91제1절 기초 및 상관관계 분석 911. 기초통계량 912. 수익률과 상관관계 분석 96제2절 실증분석 결과 1001. Portfolio 구성 1002. Portfolio의 최적 자산배분 1013. 민감도 분석결과와 효율적투자기회선 1074. 주성분 분석결과 1175. 분석결과 요약 120제5장 결론 123제1절 연구의 요약 및 시사점 123제2절 연구의 한계 및 향후 과제 126참 고 문 헌 127ABSTRACT 131