Discussion of “Information Uncertainty and Expected Returns”

Jiang, Lee, and Zhang (Review of Accounting Studies, 2005, this issue) show that stock returns are smaller for young firms, volatile stocks, high volume stocks, and stocks with long equity durations. In addition to having lower returns, momentum effects are particularly strong in these stocks. The focus of this discussion is on the informal behavioral model that is used to explain these results and how well the variables used in the study proxy for information uncertainty, the model’s focus.This revised version was published online in August 2005 with a corrected cover date.     

Information Uncertainty and Post-Earnings-Announcement-Drift

Abstract:  We examine whether rational investor responses to information uncertainty (IU) explain properties of and returns to the post-earnings-announcement-drift (PEAD) trading anomaly. Consistent with a rational learning explanation, we find that: (1) unexpected earnings (UE) signals that are characterized as having greater IU have more muted initial market reactions; (2) extreme UE portfolios are characterized by securities with higher IU than non-extreme UE portfolios; and (3) within the extreme UE portfolios, high IU securities are more prevalent and earn larger abnormal returns than low IU securities. Further tests show that prior evidence of greater PEAD profitability for higher idiosyncratic volatility securities is explained by the greater information uncertainty associated with these securities.     

Investor Sentiment and Stock Returns: Evidence from Turkey

This paper investigates the relation between investor sentiment and stock returns on the Istanbul Stock Exchange, employing vector autoregressive (VAR) analysis and Granger causality tests. The sample period extends from July 1997 to June 2005. In the VAR models, stock portfolio returns and investor sentiment proxies are used as endogenous variables. Two dummy variables accounting for natural and economic crises are used as exogenous variables. The analysis results suggest that, excepting shares of equity issues in aggregate issues, stock portfolio returns seem to affect all investor sentiment proxies, namely closed-end fund discount, mutual fund flows, odd-lot sales-to-purchases ratio, and repo holdings of mutual funds. Investor sentiment does not appear to forecast future stock returns; only the turnover ratio of the stock market seems to have forecasting potential.     

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.     

上市公司会计信息与股票超额收益率关系的实证研究

从上市公司年报信息出发,本文首先借助FSCORE方法建立了对上市公司会计信息的综合分析评价方法,随后以上海证券交易所A股上市公司1998年4月至2007年4月的数据进行实证研究,分析上市公司会计信息综合评价所获分数的高低与公司股票前后连续三年的超额收益率的相关关系。研究结果表明：上市公司的T年年报会计信息综合评估得分与T-1年和T＋1年公司股果的超额收益率都没有显著的相关关系,而与当年的公司股票的超额收益率呈现出显著的正相关关系,该结论对大中规模公司仍然显著。     

The Causal Relationship Between Economic Policy Uncertainty and Stock Returns in China and India: Evidence from a Bootstrap Rolling Window Approach

This article applies a bootstrap rolling-window causality test to assess the causal relationship between economic policy uncertainty (EPU) and stock returns in China and India. Empirical literature examining causality between two time series may suffer from inaccurate results when the underlying full-sample time series have structural changes. However, the bootstrap rolling-window approach enables us to identify possible time-varying causalities between time series based on sub-sample data. Using a twenty-four-months rolling window over the period 1995:02 to 2013:02 in China and 2003:02–2013:02 in India, we do find that there are bidirectional causal relationships between EPU and stock returns in several sub-periods rather than in the whole sample period. However, the association between EPU and stock returns is, in general, weak for these two emerging countries. Our findings have important implications for policy makers and investors.     

An Empirical Re-Examination of the Cross-Section of Expected Returns: UK Evidence

This paper is a study of the Fama and French (1992) analysis in the UK context. Consistent with their findings, our results do not support a positive relationship between beta and average monthly returns. We find that book-to-market equity and market leverage are consistently significant in explaining UK average returns. Contrary to the Fama-French evidence, size has an insignificant effect on average returns. A puzzling negative beta-returns relationship is found in some monthly regressions,and results based on annual data reveal a reversal of betas for the smallest-size portfolios. Some possible explanations are offered for these findings.     

银行中小企业贷款的效益与风险分析

中小企业贷款具有“信息不对称”和“小、急、频”等特点，这增大了商业银行的审查监督成本，降低了银行在中小企业贷款方面的积极性。对此，已有文献提出组建民营银行专门为中小企业服务、国有银行民营化、设立银行中小企业贷款最低比例限制等解决方案。本文认为，讨论中小企业银行融资难问题的解决，首先要解决银行发放中小企业贷款的风险与收益是否能够平衡的问题。为此，本文对目前我国中小企业银行融资的风险与收益的结构进行了剖析，研究了中小企业贷款利率水平与成本及风险调整后收益的关系，提出了中小企业贷款成本及风险调整后收益不低于其他优质贷款的建议利率水平。     

Earnings and Expected Returns

The aggregate dividend payout ratio forecasts excess returns on both stocks and corporate bonds in postwar U.S. data. High dividends forecast high returns. High earnings forecast low returns. The correlation of earnings with business conditions gives them predictive power for returns; they contain information about future returns that is not captured by other variables. Dividends and earnings contribute substantial explanatory power at short horizons. For forecasting long-horizon returns, however, only (scaled) stock prices matter. Forecasts of low long-horizon stock returns in the mid-1990s are caused not by earnings or dividends, but by high stock prices.     

The Cross-Section of Expected Stock Returns: New Evidence from an Emerging Market

Over 300 factors have been found to explain the cross-section of expected stock returns. Empirical studies also show that findings from multifactor asset-pricing models have not been consistent in an emerging market. Using DuPont analysis and a residual income valuation model for 284 nonfinancial companies on Ho Chi Minh Stock Exchange during the period 2008–2014, findings suggest that the return on equity and its change are informative for stock returns in Vietnam. In addition, the level of capital turnover, financial cost ratio (FCR), and changes in capital and in the FCR contain incremental explanatory power for stock returns.     

Asymmetric Risk Measures and Real Estate Returns

Rational investors distinguish between extremely high and extremely low returns. The measures of investment risk should reflect such asymmetric risk perception. This study presents six asymmetric risk metrics and empirically tests their abilities in explaining the cross-sectional variations of real estate returns. It finds strong evidence that systematic downside risk is associated with a risk premium, and skewness provides significant explanatory power to the variation of cross-sectional property returns. On the other hand, co-skewness does not explain real estate returns well and is not a good systematic risk measure.     

Some Tests of the Risk-Return Relationship Using Alternative Asset Pricing Models and Observed Expected Returns

This study examines the performance of three asset pricing models: the CAPM, the APT and the UAPT using observed expected returns from a three-phase dividend discount model with Value Line analyst estimates of future company-level earnings, dividends and growth rates. Our study is the first we know of to test the three major asset pricing models using observed expected returns. Our results are similar to prior research using ex post (realized) returns in that we find that the UAPT using macroeconomic factors is the best performing model, followed by the APT and the CAPM. However, our results also suggest that the importance of macroeconomic factors is much greater to expected returns than to realized returns, and the corresponding R2 values for models using expected returns are much higher than for models using realized returns. Combining our results for the UAPT with those of Marston and Harris (1993) for the CAPM suggests that these models are more successful in tests using observed expected returns than in tests using realized returns as proxies for expected returns. Unit root tests suggest that monthly observed expected returns follow the classic random walk without drift model while monthly realized returns do not.     

Expected Returns and Habit Persistence

Using a consumption-based asset pricing model with infinite-horizonnonlinear habit formation, Campbell and Cochrane (1999) showthat low consumption in surplus of habit should forecast highexpected returns. This article argues that the finite-horizonlinear habit model also implies an inverse relation betweenexpected returns and surplus consumption. This article alsopresents empirical evidence, which indicates that expected returnson stocks and bonds vary with surplus consumption implied bythe habit models. The volatility of returns and the reward tovolatility are also related to surplus consumption. However,less than 30% of the predictable variation of expected returns,using standard lagged information variables, is attributed tosurplus consumption.     

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。     

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.     

The Valuation of Insurance under Uncertainty: Does Information about Probability Matter?

In a laboratory experiment we test the hypothesis that consumers' valuation of insurance is sensitive to the amount of information available on the probability of a potential loss. In order to test this hypothesis we simulate a market in which we elicit individuals' willingness to pay to insure against a loss characterised either by known or else vague probabilities. We use two distinct treatments by providing subjects with different information over the vague probabilities of loss. In general we find that uncertainty about probabilities has a weak impact on consumers' valuation of insurance. However, additional information about probabilities tends to marginally increase the price individuals are willing to pay to insure themselves. Implications for the insurance market are derived.     

Order Flow and Expected Option Returns

I show that the inventory risk faced by market‐makers has a first‐order effect on option prices. I introduce a simple approach that decomposes the price impact of trades into inventory risk and asymmetric information components. While both components are large for option trades, the inventory risk component is larger. Using the full panel of daily option returns, I find that option order imbalances attributable to inventory risk have five times larger impact on option prices than previously thought. Finally, I find that past order imbalances have greater predictive power than any other commonly used predictor of option returns.     

互联网金融中的信息风险分析

如何有效认知互联网金融信息在储存、交易、传播等过程中的窃取、盗用等各种风险;如何防止恶意垃圾金融信息对百姓生活的干扰,为当代金融市场提供一个高效、便捷、低成本的开放交互式平台,是互联网界、学术界和政府长时间完善互联网金融信息安全问题的重要课题。文章从互联网金融服务对传统金融行业的拓展出发,通过分析互联网金融信息存在风险的现状、主要体现形式、危害及事件,说明互联网金融信息风险的损害性和解决的必要性,并针对我国新近立法对风险预防方面存在的问题予以分析,故而提出应对互联网金融信息风险的建议,以期有助于互联网金融快速发展,提高大众风险防范意识。     

Structural Changes in Expected Stock Returns Relationships: Evidence from ASE

Abstract:  This paper suggests a recursive application of Fama and MacBeth's (1973) testing procedure to assess the significance of macroeconomic factors and firm-specific effects priced in explaining the cross-sectional variation of expected stock returns over time. The paper applies the suggested testing procedure to investigate the source of risks of the Athens Stock Exchange (ASE). Among the variables examined, it finds out that the changes in the short term interest rates and firm size can explain a significant proportion of the variation of the ASE individual returns. The paper argues that the significance of interest rate changes can be associated with monetary policy changes introduced by the Greek authorities after the mid-nineties. These changes were focused on targeting interest rates, instead of monetary aggregates.