我国上市公司股权结构与现金股利政策关系研究——基于半参数模型的分析

多重委托代理关系的存在使得我国上市公司股权结构与现金股利政策之间的关系极其复杂。选取多个代理变量从不同的角度构建半参数模型,利用函数形式来刻画两者之间的非线性关系。利用我国565家上市公司的数据进行实证研究,结果表明:股权制衡度与现金分红数量之间存在倒S形关系,拐点分别在30%和60%左右;前十大股东持股比例与现金分红意愿及分红数量之间均存在明显的倒U形关系,拐点分别在60%和80%左右。     

Assessing market power in the U.S. commercial banking industry under deregulation

This study attempts to investigate market power in the U.S. commercial banking industry since the U.S. government began to deregulate the banking sector in the early 1990s using the static Bresnahan–Lau model (SBLM) and dynamic Bresnahan–Lau model with error corrections (DBLEC). In particular, panel unit root and panel cointegration techniques are utilized to examine the dynamic model. The empirical results of the SBLM show that the banking industry is highly competitive. The empirical results of DBLEC also suggest that the commercial banking industry is close to being perfectly competitive in the short run. By contrast, the adjustment speeds of the supply and demand sides towards the long-run equilibrium are quite slow in that market, which implies that the U.S. commercial banks enjoy a certain degree of long-run market power.     

股指期货套期保值理论及模型的演进与实证研究

将对股指期货套期保值策略进行比较全面的理论和实证研究。首先,概述了股指期货套期保值的相关理论,综述了套期保值的关键环节是最优套期保值比率的确定的相关的模型;其次,运用协整等分析方法,采用最小二乘回归模型（OLS）、向量自回归模型（VAR）、误差修正模型（ECM）、广义自回归条件异方差模型（GARCH）,分别对中国沪深300股指期货最优套期保值比率进行了实证研究,并对各模型的套期保值绩效做出了评价,得出ECM模型是最优的,是最适合中国沪深300股指期货的套期保值率估计模型。     

行政区划调整对住宅价格变化的影响效应分析——以南汇并入浦东新区为例

行政区划的调整往往是为了适应城市化和区域经济一体化的要求而进行的。除经济和生态环境因素外,住宅价格还受社会、文化和政治等因素的影响和作用,但行政因素对住宅价格变化影响的实证研究并不多见。以上海市南汇区并入浦东新区为例,运用Hedonic模型、多元线性回归分析、半弹性系数等方法,从时间和空间两个方面,定量测度行政区划调整对住宅市场价格变化的影响程度。结果表明:从时间变化上看,行政区划调整以后,浦东新区各板块的住宅均价呈现上涨趋势,住宅价格比调整之前上涨2.74个百分点,且前阶段的涨幅较之后要大;从空间变化上看,外郊环、郊环外涨幅潜力更大。总体而言,行政区划调整对区域住宅价格变化有一定的正面影响,但其影响程度有限且不及区位、交通和住宅特征等因素显著。因此,地方政府和房地产开发商应当理性对待行政区划调整策略,不能过于奢望通过短期的行政区划调整来提升房地产价值,而应当更多地关注开发区位的选址及区域交通和环境条件的改善,提升物业管理水平与服务质量,完善社区公共服务配套设施建设。     

Enlarging the EMU to the east: what effects on trade?

The purpose of this article is to assess the implications of the Economic and Monetary Union (EMU) accession of eight Central and Eastern European Countries (CEECs) on their share of EMU-12 imports. Overcoming biases related to endogeneity, omitted variables and sample selection, our results indicate that the common currency has boosted intra-EMU imports by 7%. Under the assumption that the same relationship between the explanatory variables and imports will hold for EMU-CEEC trade, we intend to predict the future impact of the Euro. Our findings suggest that except for the least integrated countries, Poland, Latvia and Lithuania, all CEECs can expect increases in the EMU-12 import share.

基于钱纳里模型的中国经济结构研究——来自1978～2009年的经验证据

自20世纪80年代以来,中国经济一直处于高速增长态势,即使2008年席卷全球经济的国际金融危机也没有阻碍其增长步伐。研究经济增长对经济结构优化的影响具有重要意义0以钱纳里的经济结构分析模型为出发点,运用中国1978～2009年的真实数据实证分析了经济增长和就业人数两大因素对经济结构的影响,并使用弹性系数指标对影响程度进行细致刻画。从实证结论中得到如下启示：一是应继续解放和发展生产力,以经济的高速增长带动经济结构升级和优化;二是保持产业结构按“二、三、一”顺序发展,加强对第三产业的投入;三是通过发展第二、三产业来解决就业压力问题;四是促进经济和谐增长,积极转变经济增长方式。     

Experts,firms, consumers or even hard data? Forecasting employment in Germany

In this article, we forecast employment growth for Germany with data for the period from November 2008 to November 2015. Hutter and Weber (2015) introduced an innovative unemployment indicator and evaluated the performance of several leading indicators, including the Ifo Employment Barometer (IEB), to predict unemployment changes. Since the IEB focuses on employment growth instead of unemployment developments, we mirror the study by Hutter and Weber (2015). It turns out that in our case, and in contrast to their article, the IEB outperforms their newly developed indicator. Additionally, consumers’ unemployment expectations and hard data such as new orders exhibit a high forecasting accuracy.