财务业绩、投资评级与股票收益

以Z证券公司2014年5月至7月间发布的208份投资评级报告为研究样本,实证检验了上市公司财务业绩、投资评级与股票收益之间的关系.结果表明:证券分析师更倾向于给予上市公司积极的投资评级,且随着证券分析师对上市公司投资评级积极程度的增强,目标价在其未来约定的期间内越发难以实现;若投资者严格遵循证券分析师的投资评级进行投资,总体上可以获得超过市场平均收益水平的超额收益;相对于单纯考虑财务业绩或事件的投资评级,综合财务业绩与事件共同影响的投资评级会带来更高的收益.     

Capital Investment,Innovative Capacity,and Stock Returns

We study the dynamic implications of capital investment in innovative capacity (IC) on future stock returns, investment, and profitability by modeling the unique effects of IC investment on uncertain option generation/exercise and postexercise revenue. The model highlights the diverse effects of IC investment on expected returns in different postinvestment regimes and yields the novel prediction that, under the neoclassical assumption of nonincreasing revenue returns, IC investment is positively related to subsequent cumulative stock returns with a lag. The model also predicts a positive effect of IC investment on future investment and profitability. We find strong empirical support for these predictions.     

Stock Returns and Open-Market Stock Repurchase Announcements

Recent studies document stock price underreactions and overreactions. This evidence is extended by studying open-market stock repurchase announcements. Repurchase announcements were chosen for the study because of the uncertainty regarding the appropriate interpretation of the repurchase announcement. Cross-section regression models are used to test the relation between the reaction to the repurchase announcement and returns in subsequent periods. The results indicate that the market overreacts to repurchase announcements that are deemed to be “good news” by the market. Neither reversal nor drift is observed following repurchase announcements considered to be “bad news” by the market. The results are robust and are not driven by a few influential observations, beta shifts, or bid-ask bounce.     

Information Uncertainty and Stock Returns

There is substantial evidence of short‐term stock price continuation, which the prior literature often attributes to investor behavioral biases such as underreaction to new information. This paper investigates the role of information uncertainty in price continuation anomalies and cross‐sectional variations in stock returns. If short‐term price continuation is due to investor behavioral biases, we should observe greater price drift when there is greater information uncertainty. As a result, greater information uncertainty should produce relatively higher expected returns following good news and relatively lower expected returns following bad news. My evidence supports this hypothesis.     

Financially Constrained Stock Returns

We study the effect of financial constraints on risk and expected returns by extending the investment-based asset pricing framework to incorporate retained earnings, debt, costly equity, and collateral constraints on debt capacity. Quantitative results show that more financially constrained firms are riskier and earn higher expected stock returns than less financially constrained firms. Intuitively, by preventing firms from financing all desired investments, collateral constraints restrict the flexibility of firms in smoothing dividend streams in the face of aggregate shocks. The inflexibility mechanism also gives rise to a convex relation between market leverage and expected stock returns.     

Alternative Liquidity Measures and Stock Returns

Abstract. This article compares the properties of several common liquidity measures including the bid-ask spread, the liquidity ratio and firm size. We also use the proportional hazard model to develop a new measure, the relative odds ratio, based on the volume necessary to move prices by a predetermined amount. Although each measure displays a liquidity premium, a composite measure better explaims expected returns, suggesting that liquidity is a multidimensional phenomenon.     

Fundamentals and Stock Returns in Japan

This paper relates cross-sectional differences in returns on Japanese stocks to the underlying behavior of four variables: earnings yield, size, book to market ratio, and cash flow yield. Alternative statistical specifications and various estimation methods are applied to a comprehensive, high-quality data set that extends from 1971 to 1988. The sample includes both manufacturing and nonmanufacturing firms, companies from both sections of the Tokyo Stock Exchange, and also delisted securities. Our findings reveal a significant relationship between these variables and expected returns in the Japanese market. Of the four variables considered, the book to market ratio and cash flow yield have the most significant positive impact on expected returns.     

Momentum and Autocorrelation in Stock Returns

This article studies momentum in stock returns, focusing onthe role of industry, size, and book-to-market (B/M) factors.Size and B/M portfolios exhibit momentum as strong as that inindividual stocks and industries. The size and B/M portfoliosare well diversified, so momentum cannot be attributed to firm-or industry-specific returns. Further, industry, size, and B/Mportfolios are negatively autocorrelated and cross-seriallycorrelated over intermediate horizons. The evidence suggeststhat stocks covary "too strongly" with each other. I argue thatexcess covariance, not underreaction, explains momentum in theportfolios.     

Industry Concentration and Average Stock Returns

Firms in more concentrated industries earn lower returns, even after controlling for size, book‐to‐market, momentum, and other return determinants. Explanations based on chance, measurement error, capital structure, and persistent in‐sample cash flow shocks do not explain this finding. Drawing on work in industrial organization, we posit that either barriers to entry in highly concentrated industries insulate firms from undiversifiable distress risk, or firms in highly concentrated industries are less risky because they engage in less innovation, and thereby command lower expected returns. Additional time‐series tests support these risk‐based interpretations.     

Corporate Political Contributions and Stock Returns

We develop a new and comprehensive database of firm‐level contributions to U.S. political campaigns from 1979 to 2004. We construct variables that measure the extent of firm support for candidates. We find that these measures are positively and significantly correlated with the cross‐section of future returns. The effect is strongest for firms that support a greater number of candidates that hold office in the same state that the firm is based. In addition, there are stronger effects for firms whose contributions are slanted toward House candidates and Democrats.     

Stock Returns and the Business Cycle

This article examines whether movements in economic factors dictated by the dividend discount model can explain broad movements in stock returns over the business cycle. As anticipated, stock returns decrease throughout economic expansions and become negative during the first half of recessions. Returns are largest during the second half of recessions, suggesting an important role for expected earnings. These results are consistent with the notion that expected stock returns vary inversely with economic conditions, yet suggest that realized returns are especially poor indicators of expected returns prior to turning points in the business cycle.     

Stock Returns in Mergers and Acquisitions

This paper develops a real options framework to analyze the behavior of stock returns in mergers and acquisitions. In this framework, the timing and terms of takeovers are endogenous and result from value-maximizing decisions. The implications of the model for abnormal announcement returns are consistent with the available empirical evidence. In addition, the model generates new predictions regarding the dynamics of firm-level betas for the period surrounding control transactions. Using a sample of 1,086 takeovers of publicly traded U.S. firms between 1985 and 2002, we present new evidence on the dynamics of firm-level betas, which is strongly supportive of the model's predictions.     

Labor Income and Predictable Stock Returns

We propose a novel economic mechanism that generates stock returnpredictability in both the time series and the cross-section.Investors’ income has two sources, wages and dividendsthat grow stochastically over time. As a consequence the fractionof total income produced by wages fluctuates depending on economicconditions. We show that the risk premium that investors requireto hold stocks varies with these fluctuations. A regressionof stock returns on lagged values of the labor income to consumptionratio produces statistically significant coefficients and largeadjusted R²s. Tests of the model’s cross-sectional predictionson the set of 25 Fama–French portfolios sorted on sizeand book-to-market are also met with considerable support.     

Individual Investor Trading and Stock Returns

This paper investigates the dynamic relation between net individual investor trading and short‐horizon returns for a large cross‐section of NYSE stocks. The evidence indicates that individuals tend to buy stocks following declines in the previous month and sell following price increases. We document positive excess returns in the month following intense buying by individuals and negative excess returns after individuals sell, which we show is distinct from the previously shown past return or volume effects. The patterns we document are consistent with the notion that risk‐averse individuals provide liquidity to meet institutional demand for immediacy.     

Past Returns and Investment Trust Discounts

Abstract:   The relationship between past net asset value returns and the current discount on investment trusts is investigated. The relationship is weaker for the component that is common to all trusts in the same sector, and is significantly stronger for more liquid trusts. The time lag before returns have their full impact on discounts is consistent with the requirements of distinguishing 'skill' from noise. Although discounts vary widely even within the same sector, the range of variation appears to be consistent with an arbitrage equilibrium, in which the profits of exploiting apparent pricing anomalies are just insufficient to invite arbitrage trades.     

Liquidity and Autocorrelations in Individual Stock Returns

This paper documents a strong relationship between short‐run reversals and stock illiquidity, even after controlling for trading volume. The largest reversals and the potential contrarian trading strategy profits occur in high turnover, low liquidity stocks, as the price pressures caused by non‐informational demands for immediacy are accommodated. However, the contrarian trading strategy profits are smaller than the likely transactions costs. This lack of profitability and the fact that the overall findings are consistent with rational equilibrium paradigms suggest that the violation of the efficient market hypothesis due to short‐term reversals is not so egregious after all.     

Ex Ante Skewness and Expected Stock Returns

We use option prices to estimate ex ante higher moments of the underlying individual securities’ risk‐neutral returns distribution. We find that individual securities’ risk‐neutral volatility, skewness, and kurtosis are strongly related to future returns. Specifically, we find a negative (positive) relation between ex ante volatility (kurtosis) and subsequent returns in the cross‐section, and more ex ante negatively (positively) skewed returns yield subsequent higher (lower) returns. We analyze the extent to which these returns relations represent compensation for risk and find evidence that, even after controlling for differences in co‐moments, individual securities’ skewness matters.     

Trading Volume and Cross-Autocorrelations in Stock Returns

This paper finds that trading volume is a significant determinant of the lead-lag patterns observed in stock returns. Daily and weekly returns on high volume portfolios lead returns on low volume portfolios, controlling for firm size. Nonsynchronous trading or low volume portfolio autocorrelations cannot explain these findings. These patterns arise because returns on low volume portfolios respond more slowly to information in market returns. The speed of adjustment of individual stocks confirms these findings. Overall, the results indicate that differential speed of adjustment to information is a significant source of the cross-autocorrelation patterns in short-horizon stock returns.     

Idiosyncratic Volatility Covariance and Expected Stock Returns

Given that the idiosyncratic volatility (IDVOL) of individual stocks co‐varies, we develop a model to determine how aggregate idiosyncratic volatility (AIV) may affect the volatility of a portfolio with a finite number of stocks. In portfolio and cross‐sectional tests, we find that stocks whose returns are more correlated with AIV innovations have lower returns than those that are less correlated with AIV innovations. These results are robust to controlling for the stock's own IDVOL and market volatility. We conclude that risk‐averse investors pay a premium for stocks that pay well when AIV is high, consistent with our model.     

剩余收益模型与股票未来回报

本文采用Hou et al.(2012)公司基本面盈余预测模型并结合剩余收益模型对上市公司的内在价值进行估计,并分析内在价值与市价比率(V/P)与股票未来回报之间的关系。我们发现基于V/P分组的投资组合,在未来一至三年规模调整的持有超额回报套利分别达到15.2%、37.9%和55.9%;在控制了市账比等因素以后,V/P对股票未来回报仍然具有显著的预测作用。本文的研究克服了以往文献中运用证券分析师盈余预测进行剩余收益模型估值的内在局限,并提供了我国资本市场背景下切实可行的基于剩余收益模型估值的投资组合策略。