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This study evaluates the investment prospects of value stocks in the real estate investment trust (REIT) market. Value stocks are defined as those that carry low prices relative to their earnings, dividends, book assets, or other measures of fundamental value. The empirical results show that from 1990 onwards, value REITs provide superior returns without exposing investors to higher risks. The evidence is consistent with the extrapolation theory, which attributes the mispricing to investors over extrapolating past corporate results into the future. Interestingly, the findings reveal that such extrapolation is asymmetric in the REIT market. While value REITs are underpriced in accordance with the extrapolation theory, no evidence is found that growth REITs are overpriced. The value anomaly also exhibited several temporal traits. Firstly, the value premium varies over time. Secondly, the magnitude of the premium is inversely associated with the market performance. Finally, the value anomaly is not evident in the pricing of REITs in the 1980s.
Most research about financial stability and sustainable growth focuses on the financial sector and macroeconomics and neglects the real sector, microeconomics and psychology issues. Real-sector and financial-sectors linkages are increasing and are a foundation of economic/social/environmental/urban sustainability, given financial crises, noise, internet, “transition economics”, disintermediation, demographics and inequality around the world. Within complex systems theory framework, this book analyses some multi-sided mechanisms and risk-perception that can have symbiotic relationships with financial stability, systemic risk and/or sustainable growth. Within the context of Regret Minimization, MN-Transferable Utility and WTAL, new theories-of-the-firm are developed that consider sustainable growth, price stability, globalization, financial stability and birth-to-death evolutions of firms. This book introduces new behaviour theories pertaining to real estate and intangibles, which can affect the evolutions of risk-taking and risk perception within organizations and investment entities. The chapters address elements of the dilemma of often divergent risk perceptions of, and risk-taking by corporate executives, regulators and investment managers.
Real estate investment trust (REIT) stock prices deviate substantially from net asset values (NAV). Using REIT data since 1990, we find large positive excess returns to a strategy of buying stocks that trade at a discount to NAV, and shorting stocks trading at a premium to NAV. Estimated alphas from this strategy are between 0.9% and 1.8% per month, with little risk. Trading costs and short-sale constraints are not prohibitive and the results strengthen when we control for differences in liquidity or the extent of institutional ownership. We find that some variation in P/NAV makes sense, as premiums are positively related to recent and future NAV growth. However, there appears to be too much volatility in P/NAV, giving rise to potential profits from short-term mean reversion. The closed-end fund literature has some similar findings on stock price deviations from fundamental value, but compared to closed-end funds REITs are much larger and have much higher insider and institutional ownership. These differences suggest that REIT premiums and discounts reflect more than just small investor sentiment, which is a common explanation of why closed-end fund prices deviate from their fundamental value.
Using survey data on expectations of future stock returns, we recursively estimate the degree of extrapolative weighting in investors' beliefs (DOX). In an extrapolation framework, DOX determines the relative weight investors place on recent-versus-distant past returns. DOX varies considerably over time, and the ability of price-scaled variables to predict the year-ahead equity premium is contingent on DOX. High price-scaled variables are followed by lower returns only when the DOX is high. Our findings support extrapolation-based theories of the aggregate stock market and the interpretation of price-scaled variables as proxies for mispricing. Our results help answer a critical question: when will an overvalued asset experience a correction?
As one of the first texts to take a behavioral approach to macroeconomic expectations, this book introduces a new way of doing economics. Rötheli uses cognitive psychology in a bottom-up method of modeling macroeconomic expectations. His research is based on laboratory experiments and historical data, which he extends to real-world situations. Pattern extrapolation is shown to be the key to understanding expectations of inflation and income. The quantitative model of expectations is used to analyze the course of inflation and nominal interest rates in a range of countries and historical periods. The model of expected income is applied to the analysis of business cycle phenomena such as the great recession in the United States. Data and spreadsheets are provided for readers to do their own computations of macroeconomic expectations. This book offers new perspectives in many areas of macro and financial economics.
The Efficient Market Hypothesis (EMH) asserts that, at all times, the price of a security reflects all available information about its fundamental value. The implication of the EMH for investors is that, to the extent that speculative trading is costly, speculation must be a loser's game. Hence, under the EMH, a passive strategy is bound eventually to beat a strategy that uses active management, where active management is characterized as trading that seeks to exploit mispriced assets relative to a risk-adjusted benchmark. The EMH has been refined over the past several decades to reflect the realism of the marketplace, including costly information, transactions costs, financing, agency costs, and other real-world frictions. The most recent expressions of the EMH thus allow a role for arbitrageurs in the market who may profit from their comparative advantages. These advantages may include specialized knowledge, lower trading costs, low management fees or agency costs, and a financing structure that allows the arbitrageur to undertake trades with long verification periods. The actions of these arbitrageurs cause liquid securities markets to be generally fairly efficient with respect to information, despite some notable anomalies.
Real estate investment trust (REIT) stock prices deviate substantially from net asset values (NAV). Using REIT data since 1990, we find large positive excess returns to a strategy of buying stocks that trade at a discount to NAV, and shorting stocks trading at a premium to NAV. Estimated alphas from this strategy are between 0.9% and 1.8% per month, with little risk. Trading costs and short-sale constraints are not prohibitive and the results strengthen when we control for differences in liquidity or the extent of institutional ownership. We find that some variation in P/NAV makes sense, as premiums are positively related to recent and future NAV growth. However, there appears to be too much volatility in P/NAV, giving rise to potential profits from short-term mean reversion. The closed-end fund literature has some similar findings on stock price deviations from fundamental value, but compared to closed-end funds REITs are much larger and have much higher insider and institutional ownership. These differences suggest that REIT premiums and discounts reflect more than just small investor sentiment, which is a common explanation of why closed-end fund prices deviate from their fundamental value.
Gaston Michel investigates whether shocks to real estate markets constitute an important source of the risk that is priced in the cross section of equity returns. His results document that real estate risk explains a large part of the cross-sectional variation in equity returns. He shows that an alternative modeI which includes the real estate factor performs as well as or better than the Fama-French model in pricing equity returns.