Do Stock Prices Move too Much to be Justified by Changes in Dividends? Evidence from Real Estate Investment Trusts
University of Texas at Austin - Department of Finance
November 18, 2009
A central issue in asset pricing is whether asset prices move too much in relation to cash flows. We take advantage of the existence of two parallel markets for a set of cash flows to show that better measurement of cash flows can dramatically improve the performance of a dynamic dividend discount model. We apply the model to returns on Real Estate Investment Trusts (REITs) and REIT dividends. We use a unique data set of directly held commercial real estate and augment information in REIT dividends with information from cash flows from this parallel market. The addition of this information leads to a significant improvement in the performance of a traditional dividend discount model. First, when REIT dividends are supplemented with direct property dividends, innovations in cash flows and economic news explain approximately 24% of REIT return variation. This is higher than the approximately one-fifth of variation explained in the stock market as reported in the classic study by Cutler, Poterba and Summers (1989). Second, we apply a dividend discount model to REITs, using out-of-sample estimation, unlike previous literature. When only information from REIT dividends is used, the model performs somewhat better than was previously found for the stock market (Campbell and Shiller (1988b)), which is congruous with the nature of REITs and the information content of their dividends. The results, however, further improve dramatically when information from direct property cash flows is added to the model. These findings suggest that the performance of dividend pricing models improves greatly with better measurement of cash flows, and thus contribute to the resolution of the excess volatility puzzle.
Number of Pages in PDF File: 46
Keywords: Dividend Pricing Models, Excess Volatility, Cash Flows, Vector Autoregression, Real Estate Investment Trusts
JEL Classification: G12, G14, G17, G29working papers series
Date posted: March 22, 2009 ; Last revised: April 14, 2010
© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollo7 in 0.312 seconds