Possible explanations of no-synergy mergers and small firm effect by the Generalized Capital Asset Pricing Model

The Sharpe-Lintner Capital Asset Pricing Model (CAPM) and the General Capital Asset Pricing Model (GCAPM) suggested by Levy (1978), Merton (1987), and Markowitz (1989) are compared and analyzed. Under the GCAPM we obtain the following main results: 1) the value additivity principle breaks down, which explains mergers and acquisitions; 2) beyond a certain limit, the profit from additional merger is negative; and 3) in a GCAPM equilibrium, small firms earn an abnormal profit in comparison to what is predicted by the CAPM. These results, which are indeed observed in the market, are fully consistent with the GCAPM, but are in contradiction to the CAPM.     

Forecasting stock market volatility and the informational efficiency of the DAX-index options market

Alternative strategies for predicting stock market volatility are examined. In out-of-sample forecasting experiments implied-volatility information, derived from contemporaneously observed option prices or history-based volatility predictors, such as GARCH models, are investigated to determine if they are more appropriate for predicting future return volatility. Employing German DAX-index return data it is found that past returns do not contain useful information beyond the volatility expectations already reflected in option prices. This supports the efficient market hypothesis for the DAX-index options market.     

欧洲股票市场的规模和动因:基于不同β系数的资本资产定价模型实证研究

我们选用在13个欧洲股市上市的证券,形成规模和动因组合.我们不仅发现规模溢价的证据,还发现8个样本市场存在重大动因收益率.这些收益率可能不构成异常现象,因为它们与不同β值的资本资产定价模型一致.我们还发现,系统风险与经济周期有关.此外,研究结果显示,虽然规模和动因收益率显著,但是难以在中、短期利用它们,因为在我们的样本...     

Capital gains tax and the capital asset pricing model

This paper develops a version of the Capital Asset Pricing Model that views dividend imputation as affecting company tax and assumes differential taxation of capital gains and ordinary income. These taxation issues aside, the model otherwise rests on the standard assumptions including full segmentation of national capital markets. It also treats dividend policy as exogenously determined. Estimates of the cost of equity based on this model are then compared with estimates based on the version of the CAPM typically applied in Australia, which differs only in assuming equality of the tax rates on capital gains and ordinary income. The differences between the estimates can be material. In particular, with a high dividend yield, allowance for differential taxation can result in an increase of two to three percentage points in the estimated cost of equity. The overall result obtained here carries over to a dividend equilibrium, in which firms choose a dividend policy that is optimal relative to the assumed tax structure.     

Is beta still alive? Conclusive evidence from the Swiss stock market

Recent evidence from Fama and French (1992, 1996) and others shows that betas and returns are not related empirically. They interpret this as evidence against the validity of the capital asset pricing model and conclude that the beta is not a good measure of risk. This paper claims that usual tests do not leave much opportunity for beta to appear as a useful variable capable of explaining returns, because tests are often performed in periods where the average realized market excess return is not significantly different from zero. In order to assess the usefulness of beta, an alternative approach that dissociates results obtained in periods where the realized market excess is positive from those where it is negative is proposed. These new tests are then applied to a representative sample of the Swiss stock market over the period 1983–1991. The different results unambiguously support the fact that beta is a good measure of risk, because beta is strongly related to the cross-section of realized returns. These results also confirm that there are no arbitrage opportunities on this market.     

会计盈余的规模、账面／市值因素实证研究——来自中国上市公司的经验数据

本文尝试将资本资产定价三因素模型的思想运用于研究会计盈余的影响因素,通过对1991—2003年我国的上市公司会计盈余的实证分析,发现在A股市场:规模和账面/市值因素显著地存在于上市公司会计盈余当中;账面/市值因素的作用要更显著于规模因素;低账面/市值的上市公司倾向于保持强盈利能力;在账面/市值组的内部,资本市场化规模大的股票比小的会计盈余更高;在同一市场资本化规模组内部,随着账面/市值比率的提高,账面/市值对会计盈余的影响,由反向变为正向,影响力也逐步增强。     

Unbiased estimation of expected return using CAPM

Estimation of expected return is required for many financial decisions. For example, an estimate for cost of capital is required for capital budgeting and cost of equity estimates are needed for performance evaluation based on measures such as EVA. Estimates for expected return are often based on the Capital Asset Pricing Model (CAPM), which states that expected excess return (expected return minus the risk-free rate) is equal to the asset's sensitivity to the world market portfolio (β) times the risk premium on the “world market portfolio” (the market risk premium). Since the world market portfolio, by definition, contains all assets in the world, it is not observable. As a result, an estimate for expected return is commonly obtained by taking an estimate for β based on some index (as a proxy for the world market portfolio) and an estimate for the market risk premium based on a potentially different index and multiplying them together. In this paper, it is shown that this results in a biased estimate for expected return. This is undesirable since biased estimates lead to misallocation of funds and biased performance measures. It is also shown in this paper that the straightforward procedure suggested by Fama and MacBeth [J. Financ. Econ. 1 (1974) 43] results in an unbiased estimate for expected return. Further from the analysis done, it follows that, for an unbiased estimate, it does not matter what proxy is used, as long as it is used correctly an unbiased estimate for expected return results.     

基于RAROC的银行资本配置陷阱与修正

利用RAROC(Risk-AdjustedReturnonCapital)与传统CAPM(CapitalAssetPricingModel)模型相结合进行资本配置,是目前大部分银行等金融机构所采用的主流方法。但是由于这一方法忽视了RAROC与CAPM各自的假设和环境,从而导致在很多方面不匹配,因此不可避免地使基于RAROC的资本配置框架产生一些陷阱,如银行对某一类资产的过度配置或者配置不足等问题。为此,本文首先分析了这些陷阱产生的根源及导致的后果,继而针对这些陷阱提出了一系列修正措施,如修正的CAPM模型—二因素模型,文——章最后在讨论这些修正可行性的基础上,建立了新的资本配置框架。     

The Conditional Relationship Between Beta and Returns: A Reassessment

Abstract:  Several recent empirical tests of the Capital Asset Pricing Model have been based on the conditional relationship between betas and market returns. This paper shows that this method needs reconsideration. An adjusted version of this test is presented. It is then demonstrated that the adjusted technique has similar, or lower, power to the more easily implemented CAPM test of Fama and MacBeth (1973) if returns are normally distributed.     

REITs资金配置优化——基于京、沪、深、渝四市的实证研究

本文运用CAPM模型,利用2000年10月到2010年10月的月度中房指数对北京、上海、深圳、重庆四个城市的REITs资金配置进行优化研究。研究结果表明对同一城市的不同物业类型进行投资,住宅投资的风险相比办公楼投资风险大;从区域投资分散化看,深圳的投资收益率高于房地产市场综合收益率,上海和北京接近,但从风险的角度来看,深圳和上海的投资风险最大,北京次之,重庆的投资风险最小。最后作者提出风险控制模型、资金投向、经济周期认识等相关对策。     

Size and momentum in European equity markets: empirical findings from varying beta Capital Asset Pricing Model

We use securities listed on 13 European equity markets to form size and momentum portfolios. We find limited evidence of a size premium but significant momentum returns in eight sample markets. We find that these premia may not constitute an anomaly because they are consistent with a varying‐beta Capital Asset Pricing Model. We also show that systematic risk is related to the business cycle. Furthermore, the results suggest that although size and especially momentum returns are significant, it would be difficult to exploit them in the short to medium run, because they are positive and sizeable in very few years in our sample.     

Asset pricing dynamics

This paper is concerned with the issue of dynamics in financial data and asset pricing models such as the CAPM. A literature review in this area is undertaken and highlights the need for a modern time series econometric approach in asset pricing. Such an approach is discussed and deals with problems related to structural breaks and microstructures, dynamics in the mean and variance process, and non-stationary regressions and cointegration. An empirical application using UK stock market data demonstrates the merit of the proposed methodology in correcting market model regressions.     

The attributes,behavior, and performance of U.S. mutual funds

This article examines the risk and return characteristics of U.S. mutual funds. We employ an equilibrium version of the Arbitrage Pricing Theory (APT) and a principal-components-based statistical technique to identify performance benchmarks. We also consider the Capital Asset Pricing Model (CAPM) as an alternative. We implement a procedure for overcoming the rotational indeterminacy of factor models. This procedure is a hybrid of statistical factor estimation and prespecification of factors. We estimate measures of timing ability for the CAPM and extend it to the APT. We find that this timing test is misspecified due to noninformation-based changes in mutual fund betas. We develop a modification of the timing measure that, under certain conditions, distinguishes true timing ability from noninformation-based beta changes.     

Information-based trade in the Shanghai stock market

We show that the probability of information-based trade (PIN) played a significant role in explaining monthly returns on Shanghai A shares over the period 2001 to 2006. In particular, PIN, as approximated by order imbalance as a proportion of total transactions, appears to explain returns even after controlling for risk in the much-cited Fama and French [Fama, E. F. & French, K. R. (1992). The Cross-Section of Expected Stock Returns. Journal of Finance, XLVII, 427–465.] three-factor model. However, we also find that some of the PIN effect appears to be indistinguishable from a turnover effect.     

A nesting framework for Markov-switching GARCH modelling with an application to the German stock market

In this paper, we establish a generalized two-regime Markov-switching GARCH model which enables us to specify complex (symmetric and asymmetric) GARCH equations that may differ considerably in their functional forms across the two Markov regimes. We show how previously proposed collapsing procedures for the Markov-switching GARCH model can be extended to estimate our general specification by means of classical maximum-likelihood methods. We estimate several variants of the generalized Markov-switching GARCH model using daily excess returns of the German stock market index DAX sampled during the last decade. Our empirical study has two major findings. First, our generalized model outperforms all nested specifications in terms of (a) statistical fit (when model selection is based on likelihood ratio tests) and (b) out-of-sample volatility forecasting performance. Second, we find significant Markov-switching structures in German stock market data, with substantially differing volatility equations across the regimes.     

An overview of returns in Europe

This paper is an attempt to present a digest of European security returns. In this respect, Table 7 summarizes key data over recent years. The table presents information for the period 1967 to 1990. By and large, within Europe, equity returns appear to be very similar. To the extent that if differences exist, they can probably be attributed to too short a period for utterly unambiguous data on returns to be achieved. But there may be another explanation which relates to an international capital asset pricing model and the sinews of this topic are explored towards the end of the paper. Data are presented which compare and contrast the part played by equity markets in the structure of corporate financing in Europe. These show the contrasting cult of the equity share, with its high emphasis in Britain and much lower role in Germany and France, for example. Other statistics reveal differing share ownership structures and pension fund portfolio distributions in European countries. That the topic of realized European security returns requires further research is obviously the case. It is hoped that this paper — and others in this issue — will stimulate a desire to undertake the necessary investigations.     

Seasonalities in the German stock market

Financial Markets and Portfolio Management - This paper suggests innovative investment strategies drawing on return seasonalities. By means of an out-of-sample study of the German stock market, we...     

Beta lives - some statistical perspectives on the capital asset pricing model

This note summarizes some technical issues relevant to the use of the idea of excess return in empirical modelling. We cover the case where the aim is to construct a measure of expected return on an asset and a model of the CAPM type is used. We review some of the problems and show examples where the basic CAPM may be used to develop other results which relate the expected returns on assets both to the expected return on the market and other factors.     

Sanctions and the Russian stock market

The article presents the robust estimates of extreme movements and heavy-tailedness properties for Russian stock indices returns before and after sanctions were introduced. The obtained results show that almost for all sectoral indices there was a statistically significant increase in volatility. At the same time there is not enough evidence of structural breaks in heavy-tailedness, though some indications of heavier both right and left tails in the post-imposition period can be observed for some indices. However, we cannot with complete certainty directly link the increase in heavy-tailedness with the imposed sanctions. The latter to a considerable extent could be caused by higher country-specific risks due to geopolitical tensions as well as oil prices volatility. Whatever is the cause, any increases in heavy-tailedness can have grave consequences for corporate management, economic modeling and financial stability analysis.     

Pacific Basin stock markets and international capital asset pricing

In this paper, we follow Harvey (1991) to investigate whether rates of return on Pacific Basin stock markets can be explained by conditional version of International Capital Asset Pricing Model (ICAPM), which allows for time-varying expected returns, variances, and covariances. The results show that most individual Pacific Basin markets can be described by the conditional ICAPM. However, the multiple markets' tests do not support the conditional ICAPM formulation, and the estimates of world reward to risk ratio are not the same across these markets. Furthermore, the Ghysels and Hall test (Ghysels & Hall, 1990a, 1990b) shows that the estimates of parameter are also unstable in the conditional ICAPM formulation. This implies that it is difficult to use world return to describe the relationship between expected return and risk for the Pacific Basin stock markets.