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A Test Of Multi-index Asset Pricing Models: The Us Reit MarketAydemir, Merve 01 July 2012 (has links) (PDF)
This study examines the relationship between the performances of US equity REITs and the market risk premium, SMB, HML, MOM as well as an industry index and a real estate index. The statistical significance of the abnormal returns and the beta coefficients of independent variables are examined. The REITs are categorized in seven groups according to their investment areas and the analysis results are compared. Daily return indexes of US equity REITs are collected for the period between 2005 and 2011. These data are then used to estimate the Capital Asset Pricing Model (CAPM) of Sharpe (1964) and Lintner (1965), the Fama and French&rsquo / s 3-Factor Model (1993) and Carhart&rsquo / s 4-Factor Model (1995). These models are re-estimated by adding an industry and a real estate index. The empirical results show that these added independent variables improve the available models. Additionally, no abnormal return is detected for REITs and their returns have a positive correlation with the SMB and HML factors and a negative correlation with the MOM factor. Therefore,, the REITs are relatively small and have high book-to-market ratios. The negative MOM coefficients indicate that the losers will win and the winners will lose.
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