CAPM模型在股票价格分析中的实证研究

对经典的CAPM模型进行变化后,形成一个一元线性回归模型,再从上海证券交易所A股中随机抽取一支股票进行回归分析,发现CAPM是有效的,且个股收益率与组合收益呈较明显的正相关关系,同时,通过对截距项20分析,比较股票的预期收益率与实际收益率的大小,分析股价的走势,据此指导中小投资者进行投资决策.     

基于模糊收益率的CAPM实证检验

首先引入模糊收益率的概念,讨论了基于模糊线性回归模型的资本资产定价模型(CAPM)变化形式。作为应用,随机选取上海证券交易所的一支股票,安徽合力(600761),统计该股票在2009年1月1日至2010年12月31日的周收益率以及同期的市场周收益率,共102个数据。对所取得的数据进行模糊化和平移处理,求出其模糊回归方程。利用2011年的数据对回归方程进行检验,结果显示回归方程的拟合效果符合实际,CAPM在单支股票上是可行的,可用于指导实际的投资操作。     

CAPM模型在上海股票市场的有效性检验

根据资本资产定价模型(CAPM),从上海A股市场随机抽取100支股票,计算它们的收益率,选择上证综合指数为市场组合的市场指数,并利用双层回归分析方法对2007年1月1日至2011年12月31日这段时间的100支股票进行实证检验。虽然很多国外研究表明,CAPM模型在一定程度上能够解释市场收益,并在资产估价、资本预算、投资风险分析方面已经得到了广泛应用,同时也有利于投资者构建最优的证券投资组合,但本文实证研究结果发现,CAPM模型并不适合中国的股票市场,股票预期收益率和系统风险之间不仅不存在正相关的关系,而且也不存在线性关系,除了系统风险外,非系统风险在解释股票收益上也具有一定的作用。     

山东省在沪上市公司的风险与收益研究——基于GARCH模型的实证分析

根据2005—2006的年度数据,对上海证券交易所中山东省的股票的风险与收益实证研究．依据资本资产定价模型（CAPM）,用周收益率进行GARCH模型的实证分析得到Beta系数值,算出系统风险与非系统风险,分析股票风险的结构关系。     

基于CAPM模型对股票市场的收益与风险研究——以上海股票市场为例

文章依据资本资产定价模型,来论证上海股票市场收益与风险之间的关系。文章还选取了上证50板块中50支2014年的股票作为样本数据进行分析,运用时间序列分析和横截面最小二乘法的回归方法,来检验系统风险是否对个股具有显著影响。最终我们发现,非系统性风险对股票收益影响较大,系统性风险与投资收益率的关系并不符合CAPM模型,并论证通过建立投资组合可以达到分散非系统性风险的作用。     

股权结构对上市公司会计信息不对称的影响

本文以收益率波动和会计信息不对称能够对股票周转率产生影响为假设前提,选取收益率标准差为自变量、股票周转率为因变量进行回归分析,计算股票周转率的残差,进而对股权集中度与股票周转率的残差进行回归分析,得出股权结构可以对会计信息不对称产生影响的结论。     

中国股市的最大值效应

本文证实我国股市的投资者们长期存在对股票历史业绩的反应过度现象。我们发现历史上拥有最高收益率的股票在之后业绩都表现不佳。其主要原因是我国股市的投资者们在做投资选择时都遵循一条简单的规则:即在其他条件都相同的情况下,选择拥有最高的历史收益率的股票进行投资。集中投资使拥有最高的历史收益率的股票被过高评价,导致其后来的业绩表现要比那些拥有较低历史收益率的股票差。我们称之为"最大值效应"。通过使用Fama and Macbeth(1973)横断面回归分析方法,我们确认了"最大值效应"要比CAPM理论,Blitz and Pim van Vliet(2007)发现的"波动性效应"等更为有效地解释我国股市横断面股票收益率。     

新冠疫情下基于珐玛——弗伦奇五因子模型的美股消费与造纸行业分析

珐玛——弗伦奇五因子模型是一种获取股票收益率及其变化的方法.本文用该模型评估新冠肺炎对美股消费行业和造纸行业股票收益率的影响,并用多元线性回归方法得到各因子对收益率的影响方向及大小变化.     

基于资本资产定价模型论财务杠杆对股权资本成本的影响

股票投资收益率的高低与股票风险的大小密切相关。所有投资者均全力回避风险．并追求投资收益的最大化．因此．投资者承担风险．则必定要求更高的投资收益率。投资者所承担风险的一个重要来源是企业负债经营而产生的财务风险．本文通过描述如何使用财务杠杆度量财务风险．并用CAPM模型检验财务杠杆对股权资本成本的影响．     

“汇改”后汇率变动对股票市场的影响——基于具体行业股票收益率的实证分析

使用GARCH和分位数回归模型,以11个具体行业上市公司为样本,对2005年7月＂汇改＂后人民币汇率变动与股票市场中行业股票收益率波动的相关性进行分析,研究结果表明：相对于即期汇率,以远期汇率为代表的汇率预期对行业股票收益率影响更为明显;预期汇率对行业股票收益率的影响具有明显的阶段性特征;在第一阶段,受远期汇率影响的行业主要对远期汇率的升值比较关注,而在第三阶段,不同行业对即期汇率和远期汇率的反应呈现多样化。     

基于CAPM的黄金风险溢价研究

运用CAPM理论中的边际风险价格的概念,通过分析一个包含了黄金市场和股票市场在内的市场资产组合,定量给出了黄金的风险溢价。同时检验了黄金收益是否在CAPM框架内有效。在与我国股市进行比较之后,得出投资者可将黄金包括到投资组合中去,以取得更好的风险收益比。     

Liquidity and asset pricing: Evidence from the Chinese stock markets

We introduce a novel two-factor model, incorporating market and liquidity factors, which outperforms the CAPM and Fama–French factor models when applied to stock market returns in Shanghai and Shenzhen over 2000–2019. We compute the liquidity factor as the return on a liquidity-mimicking portfolio, which we construct simultaneously using two measures of liquidity (one of them capturing liquidity’s trading-quantity dimension, and the other associated with its price-impact dimension). Unlike the CAPM and Fama–French factor models, the advocated two-factor model is able to account for numerous return anomalies, such as size, book-to-market ratio, earnings-to-price ratio, cash-flow-to-price ratio, return-on-equity, and volatility. The model’s performance is similar when applied separately to the Shanghai and Shenzhen stock markets. Furthermore, it fares similarly over the 1994–2004 and 2005–2019 sub-periods. This result is somewhat surprising, because liquidity seems likely to have been substantially lower over 1994–2004, as the Chinese markets were noticeably smaller, and the critical market reform aimed at eliminating non-tradable shares by the end of 2006 did not occur until 2005.     

Individual stock sentiment beta and stock returns

Using the data in Chinese stock market, we measure the individual stock sentiment beta, which is defined as the sensitivity of individual stock returns to the individual stock sentiment changes. We demonstrate that stocks in the highest individual stock sentiment beta portfolio have significantly higher excess returns, CAPM alpha, Fama-French three-factor alpha and Fama-French five-factor alpha. Besides, we find that the high individual stock sentiment beta stocks are smaller, younger, more volatile stocks with higher price and higher market beta. After controlling for firm characteristic, the returns of High-Low individual stock sentiment beta portfolios are still significantly positive. Moreover, we show the effect of the individual stock sentiment beta on stock returns is positive and significant in different stock markets, in different sample periods, and in bull and bear market. Besides, the results of the Bayes-Stein individual stock sentiment beta are still stable.     

上海股票市场规模效应的实证研究

规模效应是指公司规模与收益率之间存在的反向关系,即小规模公司较大公司而言有着更高的收益率。本文从上海证券市场随机抽取60只股票作为数据样本,对其从2007年1月到2009年6月之间的公司数据进行实证研究,得出上海股市存在着规模效应这一结论。     

Risk and return in the Tehran stock exchange

This paper analyzes market index returns in the Tehran stock exchange (TSE) within the context of three variants of the Capital Asset Pricing Model: the static international; the constant-parameter intertemporal; and a Markov-switching intertemporal CAPM, which allows for time-varying degree of integration with regional and international equity markets. We find that TSE returns are CAPM-efficient at monthly frequency with respect to several international market indices. Moreover, we find evidence in support of international integration of the TSE with respect to international markets. In addition, we conduct an extensive investigation for the direction of causality between TSE returns, international market index returns, and those in neighboring countries.     

Non-parametric and semi-parametric asset pricing: An application to the Colombian stock exchange

We estimate non-parametrical one-factor and three-factor international Capital Asset Pricing Models (CAPM) and find strong evidence for rejecting the linear CAPM specification. Furthermore, we find inconsistent linear betas for a series of stocks in the Colombian stock exchange (BVC), supporting the hypothesis of better and consistent fit of non-parametrical versions of the CAPM.     

Risk and return: CAPM and CCAPM

Can consumption growth risk (or consumption beta) serve a better measure of risk than market beta? This paper answers this question by testing and comparing the performance of the traditional Capital Asset Pricing Model (CAPM) and consumption-based CAPM (CCAPM) across seven financial market sub-sectors in the emerging Taiwan stock market. The empirical performance of the CAPM is encouraging. The relationship between stock returns and beta is statistically significant and the coefficient of determination of the regression is high across all of seven industry sub-sectors. In comparison, the CCAPM fails to explain the Taiwan stock market although the consumption beta should offer a better measure of systematic risk theoretically.