基于有效集检验CAPM对中国股票市场的有效性

资本资产定价模型(CAPM)有效性的主要假设是市场组合位于全局均值-方差有效集上,有效集理论可用来对CAPM的有效性进行检验。本文利用沪深股市1991～2008年的数据对CAPM在中国股票市场的有效性进行了检验,综合检验的结果表明:中国股票市场趋于有效。     

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.     

资本资产定价模型对会计的启示

资本资产定价模型(CAPM)将有效市场的证券价格、风险和预期收益有机的联系在一起,提供了对投资项目收益的量化计算方法,但其严格的前提假设给该模型的实际应用带来了一定的困难。本文分析了CAPM的前提假设和模型推导,揭示了该模型对会计信息披露和资本市场监管方面的启示。     

运用资本资产定价模型（CAPM）应注意的几个问题

CAPM（资本资产定价模型）是建立在一定的假设前提基础之上的，实际运用时，应考虑到其特定条件，正确理解贝他系数的含义及其计算方法。     

关于Capm有效性检验理论的探究

CAPM(资本资产定价模型)自1965年提出以来,受到广泛的关注,许多专家学者也对CAPM进行了检验,关于capm有效性的检验方法层出不断,但现实中,没有哪个资本市场可以达到该模型的所有假设条件,因此,我们只能说CAPM在某个股市无效,但我们不能用某个股市的数据来证明CAPM是错误的.     

基于上证煤炭板块的CAPM模型风险分析

现代金融理论是建立在资本资产定价模型(CAPM)和有效市场假说(EMH)两大基石上的。为检验我国上证煤炭板块的风险度量,分析股改前后煤炭股的β系数,本文以上证煤炭股股票为研究对象,通过时间序列回归方法对CAPM在中国证券市场的适用性进行实证检验,结果表明煤炭板块股票β系数能表明风险与收益的关系,但也存在与实际不吻合的方面。这说明近年来中国股市虽有较大发展,但仍然是一个不成熟的股市。     

Alternative to beta coefficients in the context of diffusions

We develop an alternative to the beta coefficient of the CAPM theory. We show the link between this notion and the Wiener chaos expansion of the underlying processes. In the setting of Markov diffusions, we define the drift-neutral beta, which is the quantity of benchmark such that the resulting portfolio is immune to an infinitesimal change of drift on the Brownian motion driving the benchmark. Our approach yields a coefficient which in many practical cases depends on the initial values of both the portfolio and its benchmark. It can also be used to take into account extreme risks and not only the variance. We study several classical diffusion processes and give a full analysis in the case of Jacobi processes. Examples with credit indices show the efficiency of the method in hedging a portfolio.