Exact distribution-free tests of mean-variance efficiency

This paper develops exact distribution-free tests of unconditional mean-variance efficiency. These new tests allow for unknown forms of non-normalities, conditional heteroskedasticity, and other non-linear temporal dependencies among the absolute values of the error terms in the asset pricing model. Exactness here rests on the assumption that the joint temporal error density is symmetric around zero. This still leaves open the possibility of return distribution asymmetry via coskewness with the benchmark portfolio. A simulation study shows that the new tests have very good power relative to that of many commonly used tests. The inference procedures developed are further illustrated by tests of the mean-variance efficiency of a market index using a 42-year sample of monthly returns on ten U.S. equity portfolios.     

Estimation of conditional asset pricing models with integrated variables in the beta specification

We introduce a methodology which deals with possibly integrated variables in the specification of the betas of conditional asset pricing models. In such a case, any model which is directly derived by a polynomial approximation of the functional form of the conditional beta will inherit a nonstationary right hand side. Our approach uses the cointegrating relationships between the integrated variables in order to maintain the stationarity of the right hand side of the estimated model, thus, avoiding the issues that arise in the case of an unbalanced regression. We present an example where our methodology is applied to the returns of funds-of-funds which are based on the Morningstar mutual fund ranking system. The results provide evidence that the residuals of possible cointegrating relationships between integrated variables in the specification of the conditional betas may reveal significant information concerning the dynamics of the betas.     

基于Fama&MacBech方法的CAPM有效性检验

本文基于Fama&MacBech方法验证CAPM模型的有效性.文中选用上海股市60只股票2005年5月9日至2010年6月10日的收盘价,上证综指收盘价以及我国3个月定期存款利率作为分析对象,检验现阶段CAPM模型在我国上海股市的有效性.实证结果表明,现阶段,CAPM模型仍然不适用于我国上海股市.     

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。     

Capital market equilibrium without riskless assets: heterogeneous expectations

The existence theorem of Allingham (Econometrica 59:1169–1174, 1991) for the capital asset pricing model (CAPM) is generalized to the case where agents have heterogeneous expectations on the return distribution and the mean-variance utility functions are quasiconcave. This result is built upon new conditions which are distinct from and weaker than the conditions imposed on the CAPM in the literature.      

Practitioners' perspectives on the UK cost of capital

The aims of this study were to determine how UK finance practitioners derive and review the cost of capital, and to ascertain whether the final figure varied with the choice of method. To investigate behaviour in the real world a survey questionnaire was employed, eliciting responses from the finance directors of 193 UK quoted firms. The results suggest that the cost of capital calculation is subject to wide variation across firms, both with regard to the overall figure and the precise computation of its components. The intuitive appeal of the WACC and CAPM approaches appears to ensure their continued popularity in the real world. However, firms tend not to make all of the adjustments to the overall figure which academics might expect, only making simple adjustments for risk and the tax advantage to debt. The after-tax money cost of capital which is approximately 10%, is influenced by the choice of method, and firms do not appear to revise their overall cost figure rapidly in response to the environment. The cost of capital decision is of such strategic importance for the longer-term maintenance and expansion of firm value that it is nearly always made within the domain of the board of directors.     

The augmented Black–Litterman model: a ranking-free approach to factor-based portfolio construction and beyond

The Fama and French factor-ranking approach (1992, 1993, etc.) has been extensively applied in quantitative fund management. However, this approach suffers from hidden factor view, information inefficiency, etc. issues. Based on the Black–Litterman model (1992; as explained in Cheung 2010b Cheung, W. 2010b. The Black–Litterman model explained. J. Asset Mgmt., 11: 229–243. [Crossref] , [Google Scholar]), we develop a technique that endogenizes the ranking process and elegantly resolves these issues. This model explicitly seeks forward-looking factor views and smoothly blends them to deliver robust allocation to securities. Our numerical experiments show this is an intuitive and practical framework for factor-based portfolio construction, and beyond. This article features: (1) a new and unified framework for strategy combination, factor mimicking and security-specific bets; (2) an elegant and ranking-free approach to factor style construction; (3) worked examples based on the FTSE EUROTOP 100 universe; (4) insight into the classic issue of confidence parameter setting; and (5) implementation guidance in an appendix.     

HEDGING BY SEQUENTIAL REGRESSIONS REVISITED

Almost 20 years ago Föllmer and Schweizer (1989) suggested a simple and influential scheme for the computation of hedging strategies in an incomplete market. Their approach of  local  risk minimization results in a sequence of one-period least squares regressions running recursively backward in time. In the meantime, there have been significant developments in the  global  risk minimization theory for semimartingale price processes. In this paper we revisit hedging by sequential regression in the context of global risk minimization, in the light of recent results obtained by Černý and Kallsen (2007) . A number of illustrative numerical examples are given.     

An examination of alternative CAPM-based models in UK stock returns

We evaluate the performance of unconditional and conditional versions of seven stochastic discount factor models in UK stock returns between January 1975 and December 2001. We find that the conditional four-moment capital asset pricing model (CAPM) has the best performance among the models we consider in terms of the lowest [Hansen, L.P., Jagannathan, R., 1997. Assessing specification errors in stochastic discount factor models. Journal of Finance 52, 591–607] distance measure and explaining the time-series predictability of industry portfolio excess returns. Conditional models also do a better job than unconditional models. However we find that the superior performance of the conditional four-moment CAPM, and conditional models in general, arises in part due to overfitting the data.