中国股市三因子资产定价模型实证研究

本文研究沪深A股市场股票收益率的截面性质，并检验Fama，French三因素资产定价模型在中国A股市场的适用性。结果表明，沪深A股市场存在着公司规模效应和股东权益账面市值比效应。这种现象在公司规模较小、股东权益账面市值比较高的组合里表现尤其显著。基于市场组合、公司规模和股东权益账面市值比的三因素模型可以完全解释A股市场收益率的截面差异。并且，对不同分组方法和样本区间的稳健性检验表明，本文的结论不依赖于分组方法和样本区间。     

房地产业上市公司资产减值计提动因研究

文章以房地产业上市公司为对象,通过其2010年年报数据研究资产减值比例的相关要素.文章选取资产规模、资产负债率、净资产收益率、净利润增长率和公司亏损情况等相关要素,经过多元回归分析发现净资产收益率、公司亏损情况和资产规模与减值准备的计提比例具有明显相关关系,其中净资产收益率是最强动因,而资产负债率和净利润增长率的影响不具有统计学意义.说明虽然现行会计准则对利用资产减值进行了更加严格的限定,但并没有遏制房地产业上市公司利用这一手段进行盈余管理的行为,而这些行为最主要的动机是进行利润平滑和避免亏损带来的处罚.     

基于CAPM模型的水煤浆行业基准收益率研究

对基准收益率内涵及主流研究方法进行探析,选用资本资产定价理论为研究方法,测算了水煤浆行业基准收益率。选取炭采选业14家具有代表性的上市公司为研究样本,得出水煤浆行业的风险系数、权益资本收益率及水煤浆行业基准收益,并考虑了股票市场中的非同步交易及非系统风险影响因素,本研究为水煤浆项目投融资决策、经济评价和风险分析提供了参考依据。     

地方政府补助对房地产上市公司绩效的影响

本文以沪深两市107家房地产上市公司为样本,实证检验了地方政府补助与房地产企业绩效的关系。研究发现,与其他行业不同的是,房地产企业获得地方政府补助的动因与企业性质无关,国有与民营房地产企业在获得政府补助方面无显著差异。资产规模及销售规模是影响房地产企业获得政府补助的主要因素,资产规模和销售规模越大的房地产公司越容易获得政府补助。此外,政府补助显著提升了企业的销售收入和销售净利率,对房地产企业的绩效有正面影响。     

消费均衡资产定价模型在我国A股市场的应用

本文运用Lucas的资产定价模型,并结合CRRA效用函数,假设红利增长率遵循一阶高斯自回归方程来考察我国A股市场中股票价格和股票收益率的关系,结果表明股票价格与股票收益率之间不存在线性协整关系。     

董事会特征与公司经营业绩相关性研究——基于我国A股上市公司的实证研究

本文以沪市和深市A股上市公司为样本,研究了董事会特征与公司业绩之间的关系。结果表明:独立董事比例与净资产收益率显著负相关;两职合一与净资产收益率显著负相关;公司规模与净资产收益率显著正相关;董事会规模和董事会会议频率与净资产收益率不具有显著相关关系。     

独立董事与上市公司业绩实证研究

本文以2001年N2004年沪市上市公司为样本,采用实证研究方法,以净资产收益率和销售收入与资产为公司业绩,研究独立董事结构与公司业绩之间的关系。研究发现：业绩变量与独立外部董事之间存在正相关关系,但与利用净资产收益率测度公司绩效相比,利用销售收入,资产测度公司绩效时,其正相关关系更为显著。     

中国企业债券特征与风险补偿

利率风险、信用风险、流动性风险是债券市场上常见的风险类型,而债券的特征可以直接或间接地反映这些风险。本文通过分析中国企业债券市场上的债券发行量、已发行时间、债券期限、息票利率、收益率波动性、久期、凸性、到期收益率等债券特征对债券定价的影响,实证检验这些债券特征与债券风险及风险补偿的关系。本文的分析结论认为,这些债券特征显著地影响企业债券的定价,它们与利率风险、信用风险和流动性风险有显著关系,其中对企业债券信用风险的影响最大。流动性风险未被合理定价,低流动性债券未能获得显著的风险补偿。     

独立董事与上市公司业绩实证研究

本文以2001年至2004年沪市上市公司为样本,采用实证研究方法,以净资产收益率和销售收入与资产为公司业绩,研究独立董事结构与公司业绩之间的关系。研究发现:业绩变量与独立外部董事之间存在正相关关系,但与利用净资产收益率测度公司绩效相比,利用销售收入/资产测度公司绩效时,其正相关关系更为显著。     

ESL：企业盈利模式分析方法

在现实经济生活中,人们发现不同行业、不同类型的企业、不同规模的企业、处于不同发展阶段的企业盈利模式存在重大差异。因此,盈利模式分析是财务分析的一个重要方面。本文在杜邦分析体系(TheDupontSys-tem)的基础上,提出ESL分析模式,供我国企业参考。一、企业盈利模式的构成因子让我们对杜邦分析体系的核心指标净资产收益率作一下分解:净资产收益率=税后利润÷净资产度(在没有优先股的情况下,它表示财务杠杆利用程度)。第三因子和第四因子乘积合称为财务杠杆乘数。由于不同企业所得税因子基本相同,因此影响净资产收益率的主要因素为营业…     

FIRM SIZE AND STOCK RETURNS: A QUANTITATIVE SURVEY

Firm size is commonly used in numerous empirical asset pricing models as a determinant of expected stock returns. Yet there is little consensus over the magnitude and stability of the size premium. In fact, some researchers even question whether firm size should be used as a pricing factor. We collect 1746 estimates of the slope coefficients capturing the association between firm size and stock returns reported in 102 published studies and conduct the first meta‐analysis on the size premium. We find evidence of a strong bias toward publishing statistically significant negative slope coefficients. After correcting for the bias, we find that the literature implies a difference in annual stock returns on the smallest and the largest New York Stock Exchange (NYSE) market capitalization quintiles of 1.72%. For the time periods covered in the sampled articles, we find that the size premium was larger in earlier years and that the intensity of publication bias has been decreasing over time.     

Firm size,economic risks,and the cross-section of international stock returns

Recent empirical evidence from developed markets indicates a negative relation between value premium and firm size. We find that the value premium in small stocks is consistently priced in the cross-section of international returns, whereas the value premium in big stocks is not. Based on US data, we show that the small-stock value premium is associated with business cycle news and reflects changes in macroeconomic, especially credit market related risks. Our results hold true for regional and global equity markets and remain valid after controlling for firm characteristics and prominent profitability and investment factors.     

Anomalies in emerging markets: The case of Mexico

In this article we explore the relationship between 19 of the most common anomalies reported for the US market and the cross-section of Mexican stock returns. We find that 1-month stock returns in Mexico are robustly predicted only by 3 of the 19 anomalies: momentum, idiosyncratic volatility, and the lottery effect. Momentum has a positive relation with future 1-month returns, while idiosyncratic volatility and the lottery effect have a negative relation. For longer horizons of 3 and 6 months, only the 3 most important factors in the US market predict returns: size, book-to-market, and momentum.     

A new approach to risk-return trade-off dynamics via decomposition

This paper revisits the puzzling time series relation between risk premium and conditional volatility by proposing a flexible risk-return trade-off that allows for a variety of possible shapes and incorporates potential nonlinearities inherent in excess return dynamics. We derive this flexible risk-return relation using the decomposition approach of Anatolyev and Gospodinov (2010), which splits excess returns into the product of absolute returns and signs. Using this decomposition strategy, we study four major international financial markets. The empirical results support a significant and positive risk-return trade-off that is driven by conditional volatility, market timing and the interdependence between the two components, which is generically related to return skewness.     

Seasonality and momentum across national equity markets

This paper examines seasonality and momentum jointly across national equity markets at the index level. We find that seasonality and momentum are almost uncorrelated and appear to arise from different global or local risk factors, rather than from different loadings on the same risk factors. Employing a trading strategy that integrates seasonality and momentum parametrically, we confirm our conclusion about the relationship between seasonality and momentum: while the pure seasonality and momentum strategies individually generate sizable and significant returns, the combination strategy significantly outperforms the pure strategies in a way that is quantitatively consistent with their lack of correlation.     

Return and Risk Premium Seasonalities in three Emerging Asian Markets: Hong Kong,Korea and Taiwan*

In this study, we find that seasonal return patterns differ from that implied by risk premiums in three emerging Asian markets; namely, Hong Kong, Korea and Taiwan. Positive January seasonal returns are found in the Hong Kong and Taiwan markets, while positive February seasonal returns are also found in Taiwan. These findings suggest that investors should place their money in these markets during January but not for the months of June and December in Korea, and for the months of May and November in Taiwan. Corporate managers should also be aware of the need to adjust for such seasonal variations when they use market data to evaluate the risk premium or required rate of return for projects in these markets. The results also show that the size effect may also be priced in some of these markets.     

The determinants of momentum in the United Kingdom

This study examines the effects of size, analyst coverage, and book-to-market in explaining momentum profits in UK stocks. We document a pattern of momentum in UK stocks and find that momentum profits are negatively related to firm size, analyst coverage, and book-to-market. We find that book-to-market is more important than coverage and coverage is more important than size in explaining momentum profits. We examine the book-to-market effect closely and find that a value premium exists for past stock losers, but a growth discount exists for past stock winners. Finally, the results of this study provide mixed support for the information diffusion hypothesis of Hong and Stein (1999).     

Correlation dynamics and international diversification benefits

Forecasting the evolution of security co-movements is critical for asset pricing and portfolio allocation. Hence, we investigate patterns and trends in correlations over time using weekly returns for developed markets (DMs) and emerging markets (EMs) over the period 1973–2012. We show that it is possible to model co-movements for many countries simultaneously using BEKK, DCC, and DECO models. Empirically, we find that correlations have trended upward significantly for both DMs and EMs. Based on a time-varying measure of diversification benefits, we find that it is not possible to circumvent the increasing correlations in a long-only portfolio by adjusting the portfolio weights over time. However, we do find some evidence that adding EMs to a DM-only portfolio increases diversification benefits.     

Predictability of future index returns based on the 52-week high strategy

In a landmark paper, George and Hwang (2004) show that a stock's 52-week high price largely explains the momentum effect and that a strategy based on closeness to the 52-week high has better forecasting power for future returns than do momentum strategies. We find that the 52-week high strategy is unprofitable when applied to emerging markets indices, and that it is significantly less profitable than the corresponding momentum strategy. Overall the 52-week high effect is not as pervasive as the momentum effect.