运用价格杠杆促进沈阳市水资源可持续利用

沈阳市是一个严重缺水的城市,保证水资源的效率分配对社会经济发展具有举足轻重的作用。水资源的合理需求难以自发形成,必须通过需求管理来实现,本文对沈阳市城市用水现状进行了分析,并进一步探讨了其经济原因,从而提出了利用价格杠杆调节城市用水供求的建议。     

基于EGARCH模型的我国股市信息对称性研究

利用过去17年我国上证综合指数的历史数据,根据股票市场大的波动周期分五阶段经过EGARCH(1,1)模型估计,以验证市场对信息冲出的反映情况.研究结果表明:中国股市存在很大的波动性,尚未达到弱有效性;存在正负杠杆效应交替出现的现象,表现出信息不对称性,但是这种不对称性在明显减小.     

可转换公司债券的杠杆效应研究

对于运用可转换公司债券进行理财的公司而言,充分了解可转换公司债券的杠杆效应是极其必要的。可转换公司债券在给发行公司带来财务杠杆效应的同时,也对发行公司的每股赢余产生稀释效应,但这一稀释效应要比股权融资对每股收益的影响低;可转换公司债券的价值与其股票的价值虽具有联动效应,但其间的关系较为复杂;可转换公司债券在为发行公司提供预防被收购的有利武器的同时,也为其持有者提供了间接购买股票的手段;可转换公司债券可缓解股东与债权人之间的代理问题、管理层和股东之间的利益冲突,有利于公司治理的结构完善。     

Generalized Leverage and its Applications

The generalized leverage of an estimator is defined in regression models as a measure of the importance of individual observations. We derive a simple but powerful result, developing an explicit expression for leverage in a general M -estimation problem, of which the maximum likelihood problems are special cases. A variety of applications are considered, most notably to the exponential family non-linear models. The relationship between leverage and local influence is also discussed. Numerical examples are given to illustrate our results     

基于《巴塞尔Ⅲ最终方案》的弹性杠杆率监管研究

弹性资本充足率监管加刚性杠杆率监管存在机理性缺陷。弹性资本充足率监管会影响刚性杠杆率监管的效果,刚性杠杆率监管也不能体现杠杆累积在时间维度和空间维度风险的变化。若引入弹性杠杆率缓冲,刚性杠杆率监管加弹性资本充足率监管的机理性缺陷就可以避免。因此,有必要实施弹性杠杆率监管,杠杆率的弹性化程度与银行的系统重要性程度相对应。     

BL-GARCH models with elliptical distributed innovations

In this work, we discuss the class of bilinear GARCH (BL-GARCH) models that are capable of capturing simultaneously two key properties of non-linear time series: volatility clustering and leverage effects. It has often been observed that the marginal distributions of such time series have heavy tails; thus we examine the BL-GARCH model in a general setting under some non-normal distributions. We investigate some probabilistic properties of this model and we conduct a Monte Carlo experiment to evaluate the small-sample performance of the maximum likelihood estimation (MLE) methodology for various models. Finally, within-sample estimation properties were studied using S&P 500 daily returns, when the features of interest manifest as volatility clustering and leverage effects. The main results suggest that the Student-t BL-GARCH seems highly appropriate to describe the S&P 500 daily returns.     

A high breakdown,high efficiency and bounded influence modified GM estimator based on support vector regression

Regression analysis aims to estimate the approximate relationship between the response variable and the explanatory variables. This can be done using classical methods such as ordinary least squares. Unfortunately, these methods are very sensitive to anomalous points, often called outliers, in the data set. The main contribution of this article is to propose a new version of the Generalized M-estimator that provides good resistance against vertical outliers and bad leverage points. The advantage of this method over the existing methods is that it does not minimize the weight of the good leverage points, and this increases the efficiency of this estimator. To achieve this goal, the fixed parameters support vector regression technique is used to identify and minimize the weight of outliers and bad leverage points. The effectiveness of the proposed estimator is investigated using real and simulated data sets.     

Estimation and diagnostic analysis in skew-generalized-normal regression models

The skew-generalized-normal distribution [Arellano-Valle, RB, Gómez, HW, Quintana, FA. A new class of skew-normal distributions. Comm Statist Theory Methods 2004;33(7):1465–1480] is a class of asymmetric normal distributions, which contains the normal and skew-normal distributions as special cases. The main virtues of this distribution is that it is easy to simulate from and it also supplies a genuine expectation–maximization (EM) algorithm for maximum likelihood estimation. In this paper, we extend the EM algorithm for linear regression models assuming skew-generalized-normal random errors and we develop a diagnostics analyses via local influence and generalized leverage, following Zhu and Lee's approach. This is because Cook's well-known approach would be more complicated to use to obtain measures of local influence. Finally, results obtained for a real data set are reported, illustrating the usefulness of the proposed method.     

The Leverage of Protest: Market,Media, and Reputational Disruption in Social Movement Success

How do social movements gain concessions from large corporations? The ability of protests to attain leverage by imposing disruption costs on their targets is widely assumed but less often tested. In this article, we assess the ability of protests to attain concessions by disrupting three broad sources of interest to firm officials: maximizing shareholder value, gaining positive media, and fostering a well-reputed image. In contrast to the body of research on the benefits to movements from shaping media discourses and damaging the reputations of their targets, we find that only market disruption provides protests with leverage. We show this through statistical analyses of an original database of protests against large corporations in the United States over five years, 2005–2009. This study advances social movement and organizational research by demonstrating the ways in which the interests of large corporations provide insurgents with means of attaining leverage over their targets. It also speaks to the broad debate over the importance of disrupting the material versus symbolic interests of movement targets. Our results suggest that when it comes to obtaining concessions from large corporations, it is material disruption and not symbolic disruption that provides movements with leverage.     

上市公司财务杠杆与绩效的相关性研究

通过对我国上市公司财务杠杆指标的实证分析,研究了公司财务杠杆与公司基本面之间的相关关系。文中选取2003年至2005年沪市和深市部分上市公司为研究对象,运用一元和多元回归分析。考察了财务杠杆与净资产收益率、每股收益、总资产收益率、Tobin’s Q值的相关性。