On the Endogeneity of the Mean-Variance Efficient Frontier

The endogeneity of the efficient frontier in the mean-variance model of portfolio selection is commonly obscured in the portfolio selection literature and in widely used textbooks. The authors demonstrate this endogeneity and discuss the impact of parameter changes on the mean-variance efficient frontier and on the beta coefficients of individual assets.     

论市场组合对贝塔系数及CAPM的影响

本文以实证方法研究同仁堂股票在不同市场组合下的贝塔系数,以及在各市场组合下CAPM对股票的期望收益,将期望收益与实际收益进行比较,验证了股票收益与其贝塔系数呈现出较强的正相关关系,从而有力支持了CAPM;同时验证分析得到,选择合适的市场组合,使股票性质与市场组合联系越紧密,用CAPM得到的期望收益与实际收益越相符。     

Financial Sector Risk and the Stock Returns: Evidence from Tokyo Stock Exchange Firms

We investigate whether the activity of financial firms creates value and/or risk to the economy within the asset pricing framework. We use stock return data from nonfinancial firms listed in the first section of the Tokyo Stock Exchange. The value-weighted index that is solely composed of nonfinancial firms is augmented with the index of the firms from the financial sector, and we estimate multivariate asset pricing model with these two indices. We note that our procedure can simultaneously take into account the cross-holding phenomena among Japanese firms, especially between the financial sector and the nonfinancial sector. Our augmented index model performs well both with cross-sectional Fama and MacBeth regression test and GMM test. Our two index model with additional Fama and French's HML factor can capture cross-sectional variations of the returns of sample portfolios better than the original Fama and French model can, when measured by Hansen and Jagannathan distance measure. We find that this additional new sector variable can be a substitute for Fama and French's size factor, but not related to the bond index return. This variable has similar factor characteristic as money supply growth or the term structure, but the latter variables contain more information than the former. Morever, our financial sector model helps explain the return and risk structure of Japanese firms during the so-called bubble period.     

In search of beta

Despite its limitations, the CAPM is a popular asset pricing model. However, the estimation of beta in the CAPM is affected by the choice of the returns frequency and firm characteristics. This study undertakes a detailed examination of the evidence for the UK and we find that the differences in beta computed from returns of various frequencies are related to size, liquidity, book-to-market and to some degree, opacity factors. One area where our conclusions might have important implications is in the regulatory use of the CAPM. Our results imply that low frequency beta estimates should, in most cases, be preferred to high frequency beta estimates.     

Expectile CAPM

Conventional wisdom suggests that the uncertainty of uninformed noise-traders’ sentiment deters rational traders’ arbitrage activities. However, nowadays, social media have made the public sentiment highly predictable, whereas the CAPM-motivated beta-return relation still does not hold in practice. This study advances an argument that the sentiment can also be brought about by rational, sophisticated investors’ use of psychological insight; resultantly, the arbitrage activities are demotivated by their own sentiment, rather than deterred by noise-traders’ sentiment risk. The proposed expectile CAPM provides a parsimonious way to account for this claim, and leads to a sentiment-based functional form of pricing kernel.     

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.     

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。     

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。