CAPM模型在上海股票市场的实证检验

本文针对CAPM模型在上海股票市场上的适用性进行了实证检验。本文首先对这类文章进行了简单的综述,并且在选取模型所需的数据之后,采用BJS三步骤方法和FM模型分别对上海股票市场的日收益率进行时间序列分析和横截面分析。最终认为CAPM模型在中国上海股票市场上适用性并不强,实际结果与该理论提出的先验分析存在着一定的差异。并且发现非系统风险因素对股票收益率影响颇大,这一点有利于构造投资组合降低风险进而提高相应的收益率来获得利润。     

CAPM and the changing distribution of historical returns

Three statistical tests reject the capital asset pricing model (CAPM) assumption of a constant distribution of returns over time, for three different aggregate stock indices over various holding periods since 1950. These findings further undermine the reliability of CAPM applied to historical data for choosing optimal portfolio allocations.     

Size and book to market effects and the Fama French three factor asset pricing model: evidence from the Australian stockmarket

The present study adds to the sparse published Australian literature on the size effect, the book to market (BM) effect and the ability of the Fama French three factor model to account for these effects and to improve on the asset pricing ability of the Capital Asset Pricing Model (CAPM). The present study extends the 1981–1991 period examined by Halliwell, Heaney and Sawicki (1999) a further 10 years to 2000 and addresses several limitations and findings of that research. In contrast to Halliwell, Heaney and Sawicki the current study finds the three factor model provides significantly improved explanatory power over the CAPM, and evidence that the BM factor plays a role in asset pricing.     

On user costs of risky monetary assets

Summary. We extend the monetary-asset user-cost risk adjustment of Barnett, Liu and Jensen (1997) and their risk-adjusted Divisia monetary aggregates to the case of multiple non-monetary assets and intertemporal non-separability. Our model can generate potentially larger and more accurate CCAPM user-cost risk adjustments than those found in Barnett, Liu and Jensen (1997). We show that the risk adjustment to a monetary assets user cost can be measured easily by its beta. We show that any risky non-monetary asset can be used as the benchmark asset, if its rate of return is adjusted in accordance with our formula. These extensions could be especially useful, when own rates of return are subject to exchange rate risk, as in Barnett (2003).We thank participants at the 11^th Global Finance Annual Conference, Yuqing Huang, and an anonymous referee for helpful comments and suggestions.     

The evolution of portfolio rules and the capital asset pricing model

The aim of this paper is to test the performance of capital asset pricing model (CAPM) in an evolutionary framework. We model an economy where a heterogeneous population of long-lived agents invest their wealth according to different portfolio rules, and prove that traders who either “believe” in CAPM and use it as a rule of thumb, or are endowed with genuine mean-variance preferences, under some very weak conditions, vanish in the long run.We show that a sufficient condition to drive CAPM or mean-variance traders’ wealth shares to zero is that an investor endowed with a logarithmic utility function enters the market.     

我国证券投资基金绩效的实证研究

本文简要地介绍了证券投资基金研究的背景,论述了资本资产定价理论和基金绩效评价指标——风险与收益,在借鉴国际研究理论和实践的基础上,针对我国实际重点从投资基金基本收益能力、总体投资能力、开放式基金与封闭式基金比较、投资组合结构等方面,对国内投资基金绩效进行实证研究,并为基金业的健康快速发展提出了对策和建议。     

规模组合、因子定价与均值方差张成 --来自中国A股的证据

本文从均值方差张成的角度探讨了多因子定价模型在中国的适用性，并对规模组合能否作为定价因子这一问题进行了实证考察。对沪深两市A股的10个规模组合的均值方差张成检验表明，大、中、小3个规模组合在短期内可以张成所有的规模组合的均值方差边界，这意味着这3个规模组合可以作为定价因子，解释其他风险资产收益率的变动。     

BOT项目中选择投标方的新方法

作为一种新型的投资方式,BOT模式在我国已被广泛运用。由于BOT项目的投资回收完全依靠投资期内销售收入,那么,政府如何选择投标方,将成为BOT项目是否成功地关键。通过对BOT项目中传统计算净现值的方法和CAPM模型方法的分析和比较,发现这两种方法在BOT项目中的不足。使用了新的方法弥补了传统计算净现值的方法和CAPM模型方法的不足,从而能够更加科学地保证BOT项目的实施,并对其它融资方式招标或议标过程中的投标方选择提供了新方法。     

Are the profitability and investment factors valid ICAPM risk factors? Pre-1963 evidence

We empirically evaluate whether the profitability and investment factors from Novy-Marx (2013) and Fama and French (2015, 2018) are compatible with Merton’s (1973) intertemporal CAPM (ICAPM) framework in the pre-1963 period. We show that: (i) the covariance risk price estimates of the profitability factors are positive and statistically significant, which indicates that they have explanatory power with respect to the cross-section of stock returns; (ii) the investment factors carry insignificant covariance risk prices and are therefore not valid ICAPM risk factors; and (iii) the profitability factors forecast the first moment of the aggregate stock return and economic activity with the correct sign, which is consistent with their positive covariance risk price estimates and satisfies the sign restrictions associated with the ICAPM.