Pricing the hedging factor in the cross-section of stock returns

We investigate the role of investors’ net hedging strategy (factor) in predicting stock returns and pricing the cross-section of individual stocks and equity portfolios. We estimate stock exposure to changes in the hedging factor and show that the hedging premium is driven by outperformance of stocks with large positive net hedging betas, which explains their higher average returns. We find the positive hedging premium indicates risk-averse investors demand extra compensation to hold stocks with higher equity risk premiums, and they are themselves willing to pay higher prices for stocks with positive hedging betas.     

Does corporate governance still affect firm performance after controlling the distress factor?

We explore the impact of corporate governance on firm performance. We first identify whether corporate governance can still be an influential factor or has been largely captured by the traditional Fama-French three-factor model. More importantly, our study adds a financial distress factor to the Fama-French three-factor model to form a four-factor pricing model (labelled as the ‘financial distress four-factor model’). We find that for the US Russell 1000 firms, the financial distress four-factor model is the better model of the two models considered. We further find that the financial distress four-factor model has a higher explanatory power in capturing the return variation. We find that the differences between the return of firms with good (weak) corporate governance and the expected return are insignificantly different from zero for most portfolios in all the two models. The financial distress four-factor model, however, has the fewer portfolios with return difference being significantly different from zero, implying that corporate governance has been better priced in the financial distress factor.     

Weekday seasonality of stock returns: The contrary case of China

We document that Chinese stock returns exhibit early-in-the-week effects opposite-signed to those observed worldwide. The period of analysis is 2001–2016. Dominated by individual investors, Chinese stock markets offer unique out-of-sample insight regarding the source of weekday seasonality, ascribed elsewhere to institutional investors’ trading patterns. High returns to the market and to small, speculative stocks early-in-the-week pose a refuter to the mood explanation for the conventional (negative) Monday effect. A battery of tests suggests that the patterns in the Market, SMB, and RMW factors are jointly associated with Chinese individual investors whose demand is tilted towards small, speculative stocks. Our findings point to a potential role of dominant investor type in driving weekday patterns and the RMW premium.     

中国股市价值反转投资策略有效性实证研究

本文以中国深沪A股股票市场为考察对象 ,分析了价值反转投资策略的有效性。作者通过实证分析发现 :在中国深沪A股股票市场上 ,以帐面价值与市场价值比 (B M)、B M GS等指标构造的价值反转投资策略可以产生显著的超额收益率 ,并且其显著程度因持有期不同而不同。接着 ,作者利用CAPM模型、Fama French三因素模型并引入了协偏度 (coskewness)和协峰度 (cokurtosis) ,构造出多风险因子模型来解释价值反转投资策略超额收益率。我们发现 :在经过传统风险因素调整后 ,价值反转投资策略效果依然明显 ;CAPM模型无法解释价值反转投资策略超额收益率 ;Fama French三因素模型对价值反转投资策略超额收益率的解释能力最为显著 ,但对于有些价值投资策略 ,在Fama French三因素基础上加上协偏度和协峰度因子后 ,模型的解释能力有所提高     

零杠杆上市公司的股票长期收益趋势研究

与国际发达的资本市场类似,我国资本市场也存在企业零（低）杠杆现象。基于1992-2014年沪深两市全部A股上市公司的财务报表数据及股票收益数据,文章使用事件研究法与日历时间组合法,实证检验了零（低）杠杆公司的财务特征及股票长期收益情况。研究表明,我国A股市场中的零（低）杠杆现象呈现扩大化及增长趋势,且零（低）杠杆公司具有规模小、上市年限短、市账比高、投资水平低及盈利性好等共同特征。研究也发现相较非零（低）杠杆公司,连续三（五）年零（低）杠杆公司具有显著的长期超额收益,说明持续的极端财务保守政策对于股票收益具有重要的影响作用。     

An Evaluation of Testing Procedures for Long Horizon Event Studies

We conduct a comprehensive simulation study to evaluate testing procedures for long horizon event studies. The simulation results raise the following concerns about some popular practices: (1) using the four-factor model that includes the Fama-French three factors and a momentum-related factor causes serious over rejection of the null hypothesis; (2) using reference portfolios as benchmark tends to overestimate event firms' long-term returns; and (3) the computation-intensive bootstrap test has low power for long event horizons. Moreover, unless the number of event firms in a study is very large, all testing procedures suffer substantial loss of power quickly as event horizon increases, especially for samples of small firms. Of particular interest, the combination of the nonparametric sign test with a single firm benchmark shows the best performance consistently in our simulations.     

上市公司信息披露质量的投资价值分析——基于深圳证券市场的相关数据

利用深圳证券交易所对深市上市公司的信息披露考评数据,研究信息披露质量在股票投资中的作用。根据深交所的考评结果,将深市A股上市公司构造成高信息披露质量投资组合和低信息披露质量投资组合。利用Fama-French alpha来代表超额收益,结果发现:持有高信息披露质量股票组合可以获得显著为正的超额收益,而持有低信息披露质量股票组合的超额收益在统计上是不显著的。     

风险投资背景与公司IPO:市场表现与内在机理

本文研究风险投资背景对公司在股票市场表现的影响。研究发现:相对于政府背景风险投资支持的公司,外资和混合型背景风险投资支持的公司IPO抑价率较低,股票市场累计异常回报率较高,民营背景风险投资支持的与政府背景支持的无显著差异;如果仅划分为有、无外资背景风险投资参与两类,那么外资背景风险投资参与支持的公司相对于那些非外资背景风险投资支持的公司IPO抑价率更低,股票回报率更高。对影响机理进一步剖析发现:相对于那些非外资背景的风险投资,外资背景风险投资倾向更加谨慎的投资策略,投资之后对公司治理结构安排会更加合理,并且公司具有较好的盈利能力,这些最终导致公司股票IPO抑价率较低和回报率较高。     

中国股市“高价股溢价”现象的实证研究

本文发现了中国股市存在“高价股溢价”现象,这个结果无法用常见的流动性溢价、规模效应或者账面市值比效应解释。以1998～2007年的数据为基础,发现中国市场的低价股存在显著的折价,即高股价组合的收益率在统计上显著高于低股价组合,进一步以考虑了风险的夏普比率作为业绩测度,结论不变。最后以CAPM和Fama-French三因子模型考察,发现在控制了市场因素、公司规模和“账面／市值”比效应之后,高价股依然存在显著的溢价。这种现象难以用市场有效假说解释。最后试着给出一些解释。     

Do industries contain predictive information for the Fama–French factors?

We examine whether the returns of US industry portfolios predict the returns and volatility of Fama and French's small-minus-big (SMB) and high-minus-low (HML) factors. The analysis reveals that all 30 industry returns strongly forecast one-month-ahead SMB factor returns. Moreover, a significant number of industry returns predict the volatility of the SMB and HML factors by up to two or three months. These findings suggest that US industry returns contain profitable information on Fama–French SMB and HML factors, and since most investors cannot extract the profitable information contained in industry returns in a timely manner, this information gradually diffuses in equity markets.