Financial statement change and equity risk

While financial statement analysis is a rich tool, there is no widely used holistic measure of the amount of change in corporate financial statements. Statistical decomposition analysis has been employed as an index of the amount of change, but has fallen into disuse because it does not allow negative accounting numbers. As a remedy, this paper suggests three distance measures adapted from cluster analysis that avoid this critical data limitation. We successfully apply these proposed distance measures to explain the total and systematic risk of stock returns (in the CAPM and Fama–French model), corporate bond ratings, and corporate distress.     

Currency returns and downside risk: Debt,volatility, and the gap from benchmark values

The paper considers competing portfolio-balance specifications of currency returns, including one based on expected utility theory and another on prospect theory. The prospect theory specification relates downside risk to the gap between the exchange rate and its benchmark value. The empirical analysis uses survey data on exchange rate expectations to test directly the models’ predictions concerning ex ante excess returns. It also relies on the cointegrated VAR framework, which is well suited for testing competing models and dealing with unit roots. Like earlier studies, we find little support for the expected utility theory model in three major currency markets. By contrast, the prospect theory model’s predictions are largely borne out in the data, including those about sign reversals. We find the strongest support for a hybrid model that incorporates the risk factors of both models.     

Connections between the Market Pricing of Accruals Quality and Accounting-Based Anomalies*

We examine whether prior findings on the market pricing of accruals quality (AQ) can be attributed to other forms of accounting-based anomalies. Using hedge portfolio analysis and cross-sectional regressions, we find that the return predictive power of AQ overlaps with several other accounting signals. We also find that, similar to other accounting-based anomalies, especially the accruals anomaly, the AQ pricing effect (i) is likely due to mispricing instead of risk pricing, (ii) is attenuated in recent years, and (iii) disappears among firms with cash flow forecasts or long-term growth forecasts. Our findings highlight the importance of controlling for existing return predictive signals when evaluating the market pricing of AQ.     

我国股指期货合约标的物指数的编制研究

股指期货交易是证券市场的一个重要工具,我国目前的实际情况要求尽快推出这项交易。本文主要针对合约标的物指数如何进行编制展开详细讨论,并指出可以借助最小方差模型和CAPM模型对不同的股价指数进行评价和优选。     

考虑流动性的三阶矩资本资产定价的理论模型与实证研究

本文把流动性风险、偏态风险引进传统CAPM模型中,推导出基于流动性的三阶矩资本资产定价的理论模型。本文的模型表明,证券(组合)的收益依赖于它的期望流动性成本、其流动性成本和市场流动性成本的协方差以及其收益和市场收益的协方差与协偏态。本文采用我国A股市场的股票收益数据对模型进行了实证检验.检验结果表明,我国A股市场的证券(组合)的风险溢价在大盘升降区间体现了不同的特征,无论是在全样本区间还是两个子样本区间,基于流动性的三阶矩资本资产定价模型都能更好的拟合资产收益,说明了流动性和偏态因素在我国A股市场的资产定价中有重要影响。     

Net equity issuance effect in the UK

Net equity issuance (NEI) by firms has predictive power for US stock returns. This paper examines the NEI anomaly for UK stocks, using regression on firm characteristics and sorted portfolios with several factor models. The anomaly generalises to the UK only in part. We confirm the existence of a large NEI effect for small and midsize stocks, but not for large stocks. The repurchase effect, of positive abnormal returns following repurchases, is absent in the UK. We also find that the NEI effect in smaller stocks is not exploitable by investors, allowing for transaction costs.     

基于顾客资产的资本资产定价模型

以夏普的资本资产定价模型为基础,指出顾客资产计量模型中应该考虑顾客信用因素的必要性,并将其导入资本资产定价模型是建立计量模型的必然要求,从而推导建立了顾客资产期望收益率模型。     

Information and capital asset pricing

Investors in a market frequently update their diverse perceptions of the values of risky assets, thus invalidating the classic capital asset pricing model's (CAPM) assumption of complete agreement among investors. To accommodate information asymmetry and belief updating, we have developed an empirically testable information-adjusted CAPM, which states that the expected excess return of a risky asset/portfolio is solely determined by the information-adjusted beta rather than the market beta. The model is then used to analyze empirical anomalies of the classic CAPM, including a flatter relation between average return and the market beta than the CAPM predicts, a non-zero Jensen's alpha, insignificant explanatory power of the market beta, and size effect.     

Institutional Investor Participation and Stock Market Anomalies

This paper investigates the impact of institutional trading volume on stock market anomalies. The paper proposes a measure that evaluates the percentage of total trading volume of a stock accounted for by institutional trades. The empirical analyses using a large sample of firms from 1980–2005 provide strong evidence that the strength of stock market anomalies such as price momentum, post‐earnings announcement drift, the value premium, and the investment anomaly is decreasing in institutional trading volume. Additionally, the effects of institutional trading volume are stronger than those of institutional ownership, the major measure of institutional investor participation in the finance literature. These findings suggest that institutional trading significantly improves stock price efficiency.     

The CAPM strikes back? An equilibrium model with disasters

Embedding disasters into a general equilibrium model with heterogeneous firms induces strong nonlinearity in the pricing kernel, helping explain the empirical failure of the (consumption) CAPM. Our single-factor model reproduces the failure of the CAPM in explaining the value premium in finite samples without disasters and its relative success in samples with disasters. Due to beta measurement errors, the estimated beta-return relation is flat, consistent with the beta “anomaly,” even though the true beta-return relation is strongly positive. Finally, the consumption CAPM fails in simulations, even though a nonlinear model with the true pricing kernel holds exactly by construction.