财务指标在股票投资决策中的有用性:基于中国证券市场的实证研究

本文以中国A股上市公司为研究对象,采用因子分析和Logistic回归分析的方法,研究财务指标对股票超额回报的解释能力。研究发现,就A股市场整体而言,通过财务指标预测股票超额回报的能力没有得到有力的证明,但回归模型对超额回报预测的准确率高于随机分布的准确率,表明市场上还是存在一定的盈利模式；影响股票超额回报的财务指标随时间变化而变化,表明中国证券市场尚未成熟稳定；而且,反映公司发展能力的财务指标几乎出现在所有的回归结果中,表明此类财务指标对股票投资者具有较强的指导意义。     

How many names are enough? Identifying network effects with the least set of listed contacts

How many names are enough to reveal network effects using a name generator for network analysis? We analyze network data from two large organizations varying in complexity. We ask how much the network association with achievement is strengthened by adding another name to the recorded list of each person's sociometric citations. We conclude that five names is the cost effective number of sociometric citations to record. The network association with achievement weakens quickly with fewer names, especially in the more clustered network.     

On testing more IFRA ordering-II

ABSTRACT

Suppose F and G are two life distribution functions. It is said that F is more IFRA (increasing failure rate average) than G (written by F ? _*G) if G^{? 1}F(x) is star-shaped on (0, ∞). In this paper, the problem of testing H₀: F = _*G against H₁: F ? _*G and F ≠ _*G is considered in both cases when G is known and when G is unknown. We propose a new test based on U-statistics and obtain the asymptotic distribution of the test statistics. The new test is compared with some well-known tests in the literature. In addition, we apply our test to a real data set in the context of reliability.     

Realized Volatility and Long Memory: An Overview

The challenge of modeling, estimating, testing, and forecasting financial volatility is both intellectually worthwhile and also central to the successful analysis of financial returns and optimal investment strategies. In each of the three primary areas of volatility modeling, namely, conditional (or generalized autoregressive conditional heteroskedasticity) volatility, stochastic volatility and realized volatility (RV), numerous univariate volatility models of individual financial assets and multivariate volatility models of portfolios of assets have been established. This special issue has eleven innovative articles, eight of which are focused directly on RV and three on long memory, while two are concerned with both RV and long memory.     

比较优势理论和两个趋向论断与民族地区增收——关于广西平果县壮族农民增收的调查报告

对农民增收的渠道做好量化分析,根据不同渠道在农民增收中所占的比重,既要做到农民增收的综合性工程,也要突出重点增收渠道。依据经济学的比较优势理论,平果县重点发展以铝工业为主的资本密集型产业中的劳动力相对密集的区段,铝工业产业群的形成和财政收入的大幅度增加,为两个趋向论断提供了现实依据,在搞好区域规划的同时,农民增收的拉动力应重点放在以工补农和以城带乡的发展战略上。     

关于我国现行出口贸易政策的思考及调整取向

我国出口超速增长,出口依存度迅速提高,过度出口的现象和不利影响必须引起足够的重视。我国奖出限入的贸易与汇率政策部分地促成了我国外贸的失衡发展。作者认为应该摒弃过分追求出口创汇和贸易顺差、以奖出限入政策支持出口等惯常的出口贸易发展思路,提出要继续采用国际上通行的促进出口发展包括扶持鼓励高科技产品出口的政策与措施;以市场为主导适度出口,将出口增长速度与出口依存度降至合理水平;主要依靠增加内需来带动国民经济增长。     

个人投资者情绪能预测市场收益率吗

本文首次研究了中国资本市场上个人投资者情绪(包括散户投资者情绪和大户投资者情绪)与市场收益之间的关系.结果显示,市场收益有助于个人投资者情绪指数的预测,个人投资者情绪却无助于市场收益的预测.这是因为,个人投资者情绪对股票流动性有正面影响,但是股票流动性和收益率之间的关系并不明朗,导致个人投资者情绪不能预测市场收益率.中国股市控制权仍然掌握在机构投资者手里,而且机构投资者比个人投资者更有信息优势,投资行为更理性.本文从股票流动性这个新的角度来解释投资者情绪与市场收益之间的关系,实证结果有助于理解机构投资者的情绪比个人投资者的情绪更不易受股市大盘影响的观点.     

Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems

This paper reviews a set of recent studies that have attempted to measure the causal effect of education on labor market earnings by using institutional features of the supply side of the education system as exogenous determinants of schooling outcomes. A simple theoretical model that highlights the role of comparative advantage in the optimal schooling decision is presented and used to motivate an extended discussion of econometric issues, including the properties of ordinary least squares and instrumental variables estimators. A review of studies that have used compulsory schooling laws, differences in the accessibility of schools, and similar features as instrumental variables for completed education, reveals that the resulting estimates of the return to schooling are typically as big or bigger than the corresponding ordinary least squares estimates. One interpretation of this finding is that marginal returns to education among the low‐education subgroups typically affected by supply‐side innovations tend to be relatively high, reflecting their high marginal costs of schooling, rather than low ability that limits their return to education.