2001
DOI: 10.2139/ssrn.258268
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Explaining the Discount to NAV in REIT Pricing: Noise or Information?

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Cited by 39 publications
(62 citation statements)
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“…Specifically, the median value increased to higher than 1.20 for all of 1997 and decreased to lower than 0.90 for most of 2000 . Clayton and MacKinnon () further attribute the variations over time to changing investment sentiment in the REIT market . Linking the price/NAV ratio to REIT capital structure decisions, Boudry, Kallberg and Liu () find that REITs are more likely to issue equity when their price/NAV is trading higher than one, which generally coincides with the capital market valuing the cash flows of the underlying property portfolio more highly than the private market.…”
Section: Why Reitsmentioning
confidence: 99%
“…Specifically, the median value increased to higher than 1.20 for all of 1997 and decreased to lower than 0.90 for most of 2000 . Clayton and MacKinnon () further attribute the variations over time to changing investment sentiment in the REIT market . Linking the price/NAV ratio to REIT capital structure decisions, Boudry, Kallberg and Liu () find that REITs are more likely to issue equity when their price/NAV is trading higher than one, which generally coincides with the capital market valuing the cash flows of the underlying property portfolio more highly than the private market.…”
Section: Why Reitsmentioning
confidence: 99%
“…In addition to observable factors, unobservable factors, such as investor sentiment, may affect share prices. Indeed, Clayton and MacKinnon (2000) find a common time‐series component in REIT share prices relative to property values, which may reflect time‐series variation in investor sentiment. To control for time effects, we include year‐specific intercepts and we allow the coefficient on NAV to vary by year.…”
Section: Data and Empirical Specificationmentioning
confidence: 99%
“…Examples includePagliari et al (2005);Clayton and MacKinnon (2001a);Ling and Ryngaert (1997) andBarkham and Geltner (1995) 4 An application of the dynamic correlation multivariate GARC model to build an optimal portfolio can be found inCase et al (2008) andHuang and Zhong (2006) Case et al (2008). construct an optimal portfolio of RETis, stocks, bonds and cash while the portfolio ofHuang and Zhong (2006) consists of seven asset classes-U.S. stocks, foreign stocks, U.S. bonds, foreign bonds, commodities, Treasury inflation-protected securities (TIPS), and U.S. REITs…”
mentioning
confidence: 99%