Commercial Real Estate: Valuation
Friday, Jan. 5, 2018 8:00 AM - 10:00 AM
- Chair: Erasmo Giambona, Syracuse University
Dissecting the Value Premium in Publicly Traded Real Estate Markets
AbstractDo highly discounted, low price-to-NAV REITs outperform because they are riskier or because they are underpriced? This paper contributes to this debate and studies the nature of the value premium in the REIT market. A simple discounted cash flow model shows that a REIT's Price-to-NAV ratio is theoretically driven by expectations regarding asset productivity, safety, and growth opportunities collectively referred to "quality". While low Price-to-NAV REITs do indeed tend to be low quality, we find that it is not their low quality that explains their outperformance. In fact, only the component of Price-to-NAV unexplained by quality that drives the value premium in REITs. We further show that a strategy that buys high quality, low price-to-NAV REITs and sells short low quality, high price-to-NAV REITs generates more than 13 per year, outperforming a simple price-to-NAV value strategy by 6% per year. This strategy's temporal performance is mostly unrelated to economic and stock market conditions and strongly negatively related to sentiment in the real estate market. Overall, the evidence supports a mispricing explanation for the price-to-NAV value premium in the REIT market.
Benchmarking Local Commercial Real Estate Returns: Statistics Meets Economics
AbstractThis paper proposes a new approach to overcome extreme data scarcity in estimating local real estate return indices. This approach reduces the number of parameters by imposing testable structural assumptions on return dynamics, and extracts and uses information on common return dynamics from properties in the whole national market in estimating local indices. This paper further proposes three tests to evaluate economic merits of indices. Applying both the index estimation approach and the three tests to an unique dataset of commercial real estate returns in the U.S. market, this paper estimates metro level return indices and finds that the indices successfully capture unique local return dynamics and help explain local property returns both in- and out-of sample.
Do REITs Use Dividends to Signal Large Future Earnings Increases?
AbstractFinance theory suggests that an increase in dividend payout serves as an unambiguous signal to market that the firm anticipates higher future earnings. Yet, because it is often unclear just what an increase in dividend payout signals and how it does so, testing the theory using a sample of ordinary firms proves difficult in general. In this paper, we focus on the application of dividend signaling theory to the case of Real Estate Investment Trusts (REITs). REIT managers have valuable information about the firm’s re-leasing spread profit, and will, in the presence of asymmetric information, choose to convey this insider’s information to outside investors in periods of when the market lease rate is high or is expected to increase through dividend changes. Consistent with our theoretical predictions, we find substantial evidence of a positive relation between dividend changes and future earnings changes for REITs with high investment spending in periods when current lease rates are expected to increase in the future. Further, we find very little evidence of dividend signaling in all other cases, even when we do a detailed analysis of REITs with low investment spending in periods when current lease rates are expected to increase in the future. The evidence clearly supports the dividend signaling hypothesis, thus contributing to our understanding of whether changes in dividends have information content.
University of Reading
Florida Atlantic University
- G3 - Corporate Finance and Governance
- G1 - General Financial Markets