中国A股市场股票收益率风险因素分析:基于Fama-French三因素模型

本文以中国A股市场上市公司为样本,基于Fama-French三因素模型,实证分析了中国A股市场股票收益率的风险因子.研究结果表明,Fama-French三因素模型较CAPM模型能更好地解释中国A股市场的股票收益率;中国A股市场股票收益率存在规模与价值效应,股票(或股票组合)收益与公司规模呈显著负相关关系,而与公司账面市值比呈显著正相关关系.     

私有信息风险被市场定价了吗——来自中国股市的证据

近来,一些研究指出私有信息交易是股票收益的决定因素之一,国内学者在研究中对其也日渐接受并采用。但是,私有信息交易在中国股市是否可以有效地作为一个风险定价因子,并没有明确的答案。采用Fama-MacBeth两阶段横截面检验,并结合多因子模型,本文发现,除市场、公司规模、账面市值比和惯性因子以外,知情交易的因子负载无法预测资产收益。这意味着,在中国股市采用私有信息或知情交易概率作为定价因子或信息交易含量测度值得进一步商榷。     

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。     

A股市场FF模型适用性的实证性研究

对三因素模型在我国证券市场的适用性问题,即股票期收益率与市场溢价因素、公司规模因素和账面市值比因素的关系问题进行了实证研究。根据我们分析的样本,得出以下结论：总体而言,三因素模型在我国股票市场是适用的,可以作为一个方便实用的工具来帮助投资者对中国股票市场进行分析和预测;中国股票市场具有规模效应和账面市场价值比效应,价值型股票的收益率高于成长型股票的收益率。     

中国股票市场的二因素模型

参照Fama和French鉴定美国股票市场三因素模型的方法，研究中国股票市场的资产定价模型。在中国股票市场，账面市场效应并不存在，但与规模相关的某种系统风险因素在股票定价中起到了重要作用。由此鉴定出中国股票定价的二因素模型。     

流动性溢价理论研究进展

流动性溢价理论是在对资本资产定价模型(cAPM)的挑战和质疑的背景下形成的。继Sharpe(1964)，Lintner(1965)，Mossin(1966)推导出CAPM模型，Black(1972)又相继提出了零8的CAPM模型。尽管早期的一些实证研究支持了CAPM，但近年来已有许多实证研究对CAPM的有效性提出质疑。Fama和French(1992)应用横截面数据对CAPM的有效性进行研究，结果表明CAPM对预期收益不具有横截面解释能力，而公司规模(SIZE)、面值与市值比(BM比率)是影响预期收益的重要因素，     

CAPM模型在我国股票市场的适用性实证分析

本文以上海证券交易所180指数成份股票为研究对象,选用2005年11月-2013年11月期间股票月收益率数据,利用回归分析方法进行CAPM模型适用性检验。实证分析表明：CAPM模型在中国市场已经具备一定的适应性和有效性,说明β与股票收益存在正相关关系,但回归模型拟合优度不高,表明其他风险因素在股票定价中起一定作用。     

我国封闭式基金的三因素定价模型实证研究

本文首先介绍了Fama和French的三因素模型构建方法,而后分别运用CAPM模型和三因素模型对我国封闭式基金截面平均收益进行解释,以分析和比较CAPM模型和三因素模型在国内封闭式基金定价问题上的适用性。本文的研究结果表明三因素模型明显优于CAPM模型。     

股市中行业联动效应的实证分析——基于CAPM的空间计量模型的应用

本文基于CAPM模型,通过使用空间权重矩阵将同行业其他股票收益率的影响因素纳入了解释变量之中构建了一个收益率交互影响模型,并通过FF三因素模型从股票市场中找出公司规模和账面市值比的相关变量作为联动效应变量的工具变量,克服了联动效应变量的内生性问题。然后在此基础上分别对上证50、上证180、沪深300这三种股指所包含的股票样本进行了回归分析,证实了我国的证券市场中确实存在收益率之间的行业联动效应,并且联动反应系数大约为0.7到0.8之间。     

综合收益提高了会计盈余的信息含量吗?——来自A股上市公司的经验证据

文章以A股上市公司为样本,基于行为金融理论,应用Vuong检验研究利润表中列报综合收益是否提高了会计盈余的信息含量。实证结果显示:股票收益和价格更多地包含净利润信息,综合收益并未有效提高会计盈余的信息含量。进一步研究发现:(1)在大规模以及中、高账面市值比的公司中,股票价格所含净利润和综合收益的信息并不存在显著差异;(2)在小规模公司中,随着账面市值比增大,综合收益与股票收益之间的关系由显著正相关转变为显著负相关,账面市值比发挥调节作用。因此,政策制定者需要进行分类监管,重点降低小规模公司信息的不对称程度;而投资者投资于预期净利润比较高且账面市值比较低的小规模公司能够获得较高投资收益。     

Country and industry factors in tests of Capital Asset Pricing Models for partially integrated emerging markets

Existing literature has produced broadly inconclusive evidence about the asset pricing model which best fits partially integrated markets. This paper examines whether industry and country factors are independent factors helping to determine returns in emerging stock markets, or are derived from the stocks’ risk-return characteristics. We link the country-industry decomposition framework to the local and the Global CAPM in a new and more direct way. The results show that country factors are additional independent sources of cross-sectional variation in stock returns before 1996 particularly under the Global CAPM. After 1996, the results suggest partial integration: industry and country factors are both additional independent determinants of cross-sectional variations in stock returns. .     

Anchoring-Adjusted Capital Asset Pricing Model

What happens when the capital asset pricing model is adjusted for the anchoring and adjustment heuristic of Tversky and Kahneman [1974 Tversky, A., and D. Kahneman. “Judgment Under Uncertainty: Heuristics and Biases.” Science, 185, (1974), pp. 1124–1131.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]]? The surprising finding is that adjusting the capital asset pricing model for anchoring provides a plausible unified framework for understanding almost all of the key asset pricing anomalies. The anomalies captured in the theoretical framework include the well-known size and value effects, high alpha of low beta stocks, accruals, low volatility anomaly, momentum effect, stock splits, and reverse stock splits. The market equity premium is also larger with anchoring. This suggests that the anchoring-adjusted capital asset pricing model may provide the needed unifying structure to behavioral finance.     

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.     

Rational functions: an alternative approach to asset pricing

This paper shows that asset prices are linear polynomials of various underlying explanatory factors and asset returns being ratios of these polynomials, are rational functions that do not add linearly when averaging. Hence, average returns should be modeled based on stock prices. However, continuous returns may be treated as approximately linear across time and modeled directly. Our new Rational Function (RF) models, empirically outperform the traditional asset pricing models like the Capital Asset Pricing Model (CAPM) and the Fama–French three and five-factor models for both average and continuous returns. Moreover, the RF theory also provides a model to estimate the asset volumes. The average change in asset volumes together with average returns provide the estimates for average change in market values of assets. Thus, the RF model approach can be used to select assets that provide either highest returns for profit maximization or highest change in market values for wealth maximization for given levels of risk.     

Drivers of expected returns in Istanbul stock exchange: Fama–French factors and coskewness

We investigate the impact of coskewness on the variation of portfolio excess returns in Istanbul Stock Exchange (ISE) over the period July 1999 to December 2005. We form portfolios according to size, industry, size and book-to-market ratio, momentum and coskewness and compare alternative asset pricing models. The traditional capital asset pricing model (CAPM) and the three-factor model of Fama and French are tested in the multivariate testing procedure of Gibbons–Ross–Shanken (1989). Coskewness is introduced as a fourth factor and its incremental effect over CAPM and Fama–French factors is examined both in multivariate tests and in cross-sectional regressions. The findings reveal that coskewness is able to explain the size premium in ISE. Hence, the basic two-moment CAPM without the coskewness factor would underestimate the expected return of size portfolios. Multivariate test results indicate that coskewness reduces the pricing bias, albeit insignificantly. Cross-sectional analysis uncovers that coskewness has a significant additional explanatory power over CAPM, especially for size and industry portfolios. However, coskewness does not have a significant incremental explanatory power over Fama–French factors in ISE.     

Rational Pessimism, Rational Exuberance, and Asset Pricing Models

The paper estimates and examines the empirical plausibility of asset pricing models that attempt to explain features of financial markets such as the size of the equity premium and the volatility of the stock market. In one model, the long-run risks (LRR) model of Bansal and Yaron, low-frequency movements, and time-varying uncertainty in aggregate consumption growth are the key channels for understanding asset prices. In another, as typified by Campbell and Cochrane, habit formation, which generates time-varying risk aversion and consequently time variation in risk premia, is the key channel. These models are fitted to data using simulation estimators. Both models are found to fit the data equally well at conventional significance levels, and they can track quite closely a new measure of realized annual volatility. Further, scrutiny using a rich array of diagnostics suggests that the LRR model is preferred.     

Can the Consumption Capital Asset Pricing Model Account for Traders' Expected Currency Returns?

This study uses survey data on traders' exchange rate forecasts to test whether their expected excess returns are related to the covariance between the exchange rate and consumption; as predicted by the consumption capital asset pricing model (CCAPM). The covariance is measured through the novel use of rolling windows of the realized covariance (both forward and backward looking) and testing is conducted with the cointegrated VAR. The model is able to account for expected returns with more plausible degrees of risk aversion, but only when using sufficiently long, backward‐looking measures of the covariance. This suggests that market participants assess risk, in part, based upon the pro‐cyclicality of returns, and infer it from experience in the recent past. There is also evidence that inclusion of the real exchange rate improves the plausibility of the estimates and the model fit.     

Stochastic Unit Roots in the Capital Asset Pricing Model?

Evidence is provided in this article for the existence of a stochastic unit root (STUR) in a proxy for the US risk‐free interest rate, in preference to a standard fixed unit root. The implications of the existence of the STUR, on estimating and testing the capital asset pricing model, are also examined through simulations. The effects of the STUR in the risk‐free interest rate, on conducting unit root tests for excess market returns and estimating the betas of assets, are found to be qualitatively similar to those of the standard (fixed) unit root. Thus, this article confirms the conjecture of Markellos and Mills (2001 , Applied Economics Letters, 8, pp. 499–502) on the risk‐free interest rate following near‐integrated processes, at least for a STUR.     

流动性与资产定价:基于我国股市资产换手率与预期收益的实证研究

流动性与资产定价是目前金融研究的热点之一 (O’Hara,2 0 0 3 )。本文通过检验交易频率零假设和交易成本备择假设 ,深入分析我国股市流动性与资产定价的理论与经验关系 ,发现 :我国股市存在显著的流动性溢价 ,换手率低、交易成本高且流动性小的资产具有较高的预期收益 ;产生流动性溢价的原因是交易成本而不是交易频率 ;与国外股市相似 ,小企业收益率高于大企业 ,价值股收益率高于成长股。因此 ,我国股市并非令人无法捉摸 ,流动性、规模和价值效应都是资产定价的因素     

Asset Pricing and Cost of Equity in the Tunisian Banking Sector: Panel Data Evidence

In spite of popularity and theoretical simplicity of the one-factor Capital Asset Pricing Model (CAPM) used in the valuation of financial assets, researchers are more concerned with the important extension proposed by Fama and French (1993) , that is, the Three-Factor Pricing Model (TFPM). Alongside beta, average stock returns could be explained by some size and book-to-market supplementary effects. With these two complementary models, estimation of the cost of equity is carried out for the Tunisian banking sector. In order to account for inter-individual heterogeneity, estimation of parameters is conducted according to random coefficient specifications within the context of panel data analysis.