机构持股、特质风险与股票收益的实证研究

机构投资者的投资行为对股票市场的风险与收益产生了极大的影响,机构投资者的大量参与有助于股票市场的稳定、特质风险的分散以及超额收益的减少。文章选取机构投资者持股占股票市值比例这一指标来刻画机构投资者的行为,检验机构持股比例、特质风险和股票收益之间的关系。实证发现,在中国股市,特质风险与股票收益呈显著的正相关关系;机构大量持股有助于降低股票的特质风险;机构投资者持股比例越低的股票,特质风险越大,股票预期收益越高。     

Market Signals Associated with REIT IPOs

Previous studies have found significant but time-varying valuation effects associated with real estate investment trusts initial public offerings (REIT IPOs). Because REIT IPOs may disclose relevant information about real estate market conditions, they may serve to revalue existing real estate securities. To determine whether REIT IPOs signal information that is impounded into the share prices of other real estate securities, we assess the returns on rival portfolios of existing real estate securities upon the issuance of the IPO. On average, the rival portfolios experience insignificant effects on the REIT IPO filing date, but negative and significant abnormal returns around the issue date. A cross-sectional analysis of combined effects at the time of the filing date and issue date shows that the negative effects on the rival portfolios are more pronounced when (1) the size of the REIT IPO is larger, (2) market conditions are relatively weak, (3) more REIT IPOs come to market, and (4) the IPO is not associated with an umbrella partnership REIT.     

Monetary Shocks and REIT Returns

We investigate the influence of unanticipated changes in US monetary policy on Equity Real Estate Investment Trusts (REIT’s). Although a number of studies have investigated the issue of interest rate changes, the effect of unanticipated changes has not previously been addressed in terms of possible effects on both REIT’s returns and volatility. The results show a strong response in both the first and second moments of REIT returns to unexpected policy rate changes. The results for the impact of the shock on both mean and volatility of returns is consistent with results from studies addressing broader equity markets. However, we find evidence both against behavioral changes in volatility coincident to US monetary policy decisions and asymmetric responses to the monetary policy shock.

C-CAPM Refinements and the Cross-Section of Returns

This paper studies if the consumption-based asset pricing model can explain the cross-section of expected returns. The CRRA model and several refinements (habit persistence and idiosyncratic shocks) all imply that the conditional expected return is linearly increasing in the asset’s conditional covariance with consumption growth. Results from quarterly data on the 25 Fama-French portfolios suggest that the model has serious problems: there are large and systematic pricing errors. In addition, the estimated time-varying effective risk aversion coefficients appear implausible and are unrelated with most candidates for habit persistence and idiosyncratic risk.     

Real Estate Risk Exposure of Equity Real Estate Investment Trusts

This study examines the linkage between equity real estate investment trust (REIT) returns and the private real estate factor. The results reveal a tighter connection between REIT and the private real estate market starting from 1993. In addition, large-cap REITs seem to behave more like real estate than do small-cap REITs. Overall, the results are consistent with three notions: (1) that institutional investors provide information-gathering services (Bradrinath et al., Rev. Financ. Stud., 8:401–430, 1995), (2) that a more sophisticated investor base improves information flow, and (3) that a high degree of participation from institutional investors strengthens the linkage between REIT returns and the underlying real estate factor (Ziering et al., The evolution of public and private market investing in the new real estate capital markets, Prudential Real Estate Investors, Parsippany, NJ, 1997).

REIT Risk Premium Sensitivity and Interest Rates

This analysis investigates several aspects of the relationship between daily REIT stock risk premiums and various interest rates. Consistent with prior research, the general findings indicate that interest rates do impact REIT returns. This study specifically finds that stock returns are more sensitive to maturity rate spread between short- and long-term treasuries than the credit rate spread between commercial bonds and treasuries. In addition, the analyses document a structural model shift during the nineties that has made REITs more sensitive to credit risk. In additional to change in investor clientele, an analysis of declining REIT credit-worthiness points to a root cause for this shift.     

Dedicated REIT Mutual Fund Flows and REIT Performance

This study examines the effects of weekly and monthly capital flows into the dedicated REIT mutual fund sector on aggregate REIT returns and, simultaneously, the effects of industry-level REIT returns on subsequent REIT mutual fund flows. The dynamic relation between REIT capital flows and returns is estimated using vector autoregression (VAR) techniques. Unlike static regression techniques, our dynamic model produces estimates of the short-run relationships, long-run relationships, impulse response functions, and forecast variance decompositions. We find evidence that REIT mutual fund flows are positively and significantly related to prior returns, while prior REIT mutual fund flows do not significantly influence REIT returns. However, contemporaneous flows do appear to have an initial positive effect, which is partially reversed one period later. The positive contemporaneous effect, however, is the result of unexpected REIT mutual fund flows, while the expected portion is insignificant.     

The Conditional Relationship Between Beta and Returns: A Reassessment

Abstract:  Several recent empirical tests of the Capital Asset Pricing Model have been based on the conditional relationship between betas and market returns. This paper shows that this method needs reconsideration. An adjusted version of this test is presented. It is then demonstrated that the adjusted technique has similar, or lower, power to the more easily implemented CAPM test of Fama and MacBeth (1973) if returns are normally distributed.     

Economic Risk Factors and Commercial Real Estate Returns

A great deal of research has focused on the links between stock and bond market returns and macroeconomic events such as fluctuations in interest rates, inflation rates, and industrial production. Although the comovements of real estate and other asset prices suggests that these same systematic risk factors are likely to be priced in real estate markets, no study has formally addressed this issue. This study identifies the growth rate in real per capita consumption, the real T-bill rate, the term structure of interest rates, and unexpected inflation as fundamental drivers or state variables that systematically affect real estate returns. The finding of a consistently significant risk premium on consumption has important ramifications for the vast literature that has examined the (risk-adjusted) performance of real estate, for it suggests that prior findings of significant abnormal returns (either positive or negative) that have ignored consumption are potentially biased by an omitted variables problem. The results also have important implications for dynamic asset allocation strategies that involve the predictability of real estate returns using economic data.     

REIT Momentum and Characteristic-Related REIT Returns

Recent evidence confirms that in factor-model examinations of the cross-section of REIT returns, REIT momentum emerges as the dominant driver. Acknowledging the importance of momentum, the current study explores whether and how REIT return patterns are linked to the underlying characteristics of the REITs themselves, in the manner of Daniel and Titman’s (Journal of Finance 52(1):1–33, 1997, Journal of Portfolio Management 24(4):24–33, 1998) characteristics model. Over the period 1993 through 2009, we find that after controlling for momentum, book-to-market, institutional ownership, and illiquidity are all strongly associated with REIT returns while size and analyst coverage are not. We further extend prior research by examining the influence of changes in interest rate cycles on REIT returns, and find that the characteristic-return relationships are heavily influenced by interest rates.     

The Relative Importance of Stock, Bond and Real Estate Factors in Explaining REIT Returns

This paper examines the link between REIT, financial asset and real estate returns, and tests whether it changed subsequent to the “REIT boom” of the early 1990s. The main focus is on answering the question do REIT returns now better reflect the performance of underlying direct (unsecuritized) real estate? We develop and implement a variance decomposition for REIT returns that separates REIT return variability into components directly related to major stock, bond, and real estate-related return indices, as well as idiosyncratic or sector-specific effects. This is applied to aggregate REIT sector (NAREIT) returns as well as returns to size and property-type based REIT portfolios. Our results show that the REIT market went from being driven largely by the same economic factors that drive large cap stocks through the 1970s and 1980s to being more strongly related to both small cap stock and real estate-related factors in the 1990s. There is also a steady increase over time in the proportion of volatility not accounted for by stock, bond or real estate related factors. We also find that small cap REITs are “more like real estate” compared to larger cap REITs, at least over the 1993–1998 period. We argue that this could be a result of the institutionalization of the ownership of larger cap REITs that took place in the 1990s.     

Risk factors in Australian bond returns

This study examines the risk factors in Australian bond returns. The study quantifies bond liquidity and estimates a liquidity risk factor in the Australian setting. We develop a three‐factor asset pricing framework that uses term, default and liquidity risk factors to explain the variation of Australian bond returns. Our findings corroborate the US evidence on the pervasiveness of these risk factors faced by bond investors. The three‐factor model developed in this study has practical applications when calculating the cost of debt, evaluating the performance of an active bond fund manager and hedging underlying risk in a bond portfolio.     

Analyst Activity and Firm Value: Evidence from the REIT Sector

This paper is the first to examine (1) properties of analyst forecasts and (2) effects of analyst following on firm value for all REITs on CRSP, Compustat and I/B/E/S. Our results suggest that REITs operate in an information environment that has changed over time. We find that for periods when the REIT industry was either in the developmental stage (pre-1992), or after other structural changes in the industry (post-2000), more analysts cover REITs and forecasts are more accurate and less biased. Further, we find that mortgage REITs are more transparent than other REIT structures and exhibit properties of analyst behavior that are different from other types of REITs. Our investigation into the effect of analyst coverage on REIT value suggests that analyst coverage increases REIT value (as measured by Tobin’s q) and that the causality does not run the opposite way.

A multivariate analysis of REIT performance by financial and real asset portfolio characteristics

This paper examines the risk-adjusted performance of real estate investment trusts (REITs) from 1986 through 1990 in relation to financial and property characteristics of their portfolios. The Sharpe measure of risk-adjusted rate of return was regressed against financial ratios and property investment ratios for a sample of equity and mortgage REITs. The results show that, in general, financial ratios (gross cash flow, leverage, asset size), regional location of properties, and types of real estate investments determine the risk-adjusted performance. More specifically, location of properties in the western United States, ownership of health care properties, and investment in securitized mortgages positively affect the risk-adjusted return. The individual financial variables were not found to be statistically significant in influencing REIT returns.     

REIT Characteristics and the Sensitivity of REIT Returns

Previous research on the returns to real estate investment trusts (REITs) has considered whether REITs are systematically exposed to general stock-market risk and interest-rate risk. This study examines how the sensitivity of REIT returns to these factors may be influenced by various REIT characteristics. Using a sample of publicly traded REITs, we estimate the sensitivity of REIT returns to stock market and interest-rate changes. We then propose and implement a model for testing whether differences in asset structure, financial leverage, management strategy, and degree of specialization in the REIT portfolios are related to their sensitivity to interest rate and market risk. Our results permit us to offer some inferences about how REITs can alter their risk exposure by managing these characteristics.     

Idiosyncratic risk and the cross-section of stock returns: Merton (1987) meets Miller (1977)

Merton [1987. A simple model of capital market equilibrium with incomplete information. Journal of Finance 42, 483–510] predicts that idiosyncratic risk should be priced when investors hold sub-optimally diversified portfolios, and cross-sectional stock returns should be positively related to their idiosyncratic risk. However, the literature generally finds a negative relationship between returns and idiosyncratic risk, which is more consistent with Miller's [1977. Risk, uncertainty, and divergence of opinion. Journal of Finance 32, 1151–1168] analysis of asset pricing under short-sale constraints. We examine the cross-sectional effects of idiosyncratic risk while explicitly recognizing the confounding effects that dispersion of beliefs and short-sale constraints produce in the Merton framework. We find strong support for Merton's [1987. A simple model of capital market equilibrium with incomplete information. Journal of Finance 42, 483–510] model among stocks that have low levels of investor recognition and for which short selling is limited. For these stocks, the relation between idiosyncratic risk and expected returns is positive, as predicted by Merton [1987. A simple model of capital market equilibrium with incomplete information. Journal of Finance 42, 483–510].     

Investor Sentiment and REIT Returns

Recent advances in the field of behavioral finance have given a fillip to the use of behavioral factors in asset pricing models. This study adds to the understanding of the REIT return generating process by exploring the behavioral impact of investor sentiment on REIT returns. The results show that when investors are optimistic (pessimistic), REIT returns become higher (lower). These findings are robust when conventional control variables are considered. Empirical analysis indicates steady erosion in the importance of the default and term structure interest rate variables previously considered as important determinants of REIT returns. Previous noise trading papers that consider the impact of institutional traders conclude that institutional investors cannot arbitrage away noise trader risk. The results of this paper find an exception in the case of small REITs. Examination of REITs based on size reveals that the return generating process of small REITs differs from that of mid-size and large REITs. Analysis of the return generating process by performance shows high performance REITs are more sensitive to the independent variables in the model as compared to the low and mid performance REITs.     

Idiosyncratic Consumption Risk and the Cross Section of Asset Returns

This paper investigates the importance of idiosyncratic consumption risk for the cross‐sectional variation in asset returns. We find that besides the rate of aggregate consumption growth, the cross‐sectional variance of consumption growth is also a priced factor. This suggests that consumers are not fully insured against idiosyncratic consumption risk, and that asset returns reflect their attempts to reduce their exposure to this risk. The resulting two‐factor consumption‐based asset pricing model significantly outperforms the CAPM, and its performance compares favorably with that of the Fama–French three‐factor model.     

The Variation of Economic Risk Premiums in Real Estate Returns

We examine the predictable components of returns on stocks, bonds, and real estate investment trusts (REITs). We employ a multiple-beta asset pricing model and find that there are varying degrees of predictability among stocks, bonds, and REITs. Furthermore, we find that most of the predictability of returns is associated with the economic variables employed in the asset pricing model. The stock market risk premium is highly important in capturing the predictable variation in stock portfolios, and the bond market risk premiums (term and risk structure of interest rates) are important in capturing the predictable variation in bond portfolios. For REITs, however, both the stock and bond market risk premiums capture the predictable variation in returns. REITs have comparable return predictability to stock portfolios. We conclude that there is an important economic risk premium for REITs that are not captured by traditional multiple-beta asset pricing models.