我国证券投资基金投资风格实证研究

本文利用我国公开披露的证券投资基金收益率数据,对关于投资风格分析的夏普模型在我国的适用性进行验证分析,得出该模型对我国证券投资基金进行投资风格分析是有效的,是观察、判断管理人投资风格及其变化的一个良好工具的结论,并概括出我国证券投资基金的投资风格特点。     

中国农村金融发展对城乡收入差距的影响--基于1978-2004年数据的检验

大多数研究表明,改革开放以来,中国整体金融发展显著扩大了城乡收入差距,同时,它们从城乡金融发展不平衡角度进行了理论阐释。本文则从农村自身经济发展层面出发运用1978-2004年的相关数据分析了农村金融发展与城乡收入差距之间的关系,结果显示:农村金融发展扩大了城乡收入差距,究其原因主要是农村资金的不断外流和非正规金融的不规范发展,加剧了城乡收入差距的扩大。现实的出路是遏制农村资金外流,提供更多的农村正规金融资源;规范非正规金融发展,防范农村金融风险。     

基于声誉机制的风险投资与风险企业博弈分析

在资本市场中，风险投资活动以风险投资家和风险企业的合作为基础。同时，风险投资与风险企业也存在着信息不对称，双方在相互寻找和选择的过程中进行着博弈。研究如何建立风险投资与风险企业之间的合作机制，抑制博弈过程中可能会出现的机会主义行为，将对风险投资活动起到重要的指导作用。     

中国财政分权问题研究:一个文献综述

伴随着中国改革开放后经济的持续快速增长,越来越多的国内外学者围绕中国的财政分权问题展开研究。财政分权问题涉及到诸多因素,对其研究必须采用多层次的视角。既有的研究成果多囿于财政分权的某个局部层面,尚未见一个能够解释、分析中国财政分权问题的完整理论框架出现。     

东北老工业基地产业结构与经济增长的实证分析

现代经济增长的过程,是经济增长与产业结构变动相互促进、相互联系、不断发展的过程。结合当前我国的区域发展重点之一,即振兴东北老工业基地,从区域层次研究产业结构与经济增长的关系,采用动态经济计量学中协整和方差分解的分析方法,利用东北老工业基地经济总量和产业结构的不变价格数据,对其产业结构变动与经济增长效应的关系进行实证分析,有利于我们得出较有价值的结论。     

辛迪加贷款和借款者联盟与中小企业融资

本文认为我国中小企业信贷市场上市场机制与竞争机制在运行中存在着缺陷,这是造成中小企业贷款难的一个本质原因,从而建议在中小企业贷款的设计中,从借贷两方引入合作机制,即贷款辛迪加和借款者联盟。以这种战略联盟的方式解决信息不对称,并起到节约交易成本的作用,在现有条件下弥补竞争机制运行中的缺陷,突破中小企业信贷的瓶颈。     

基尼系数与企业内部薪酬分配合理性研究

本文试图把基尼系数从宏观引向微观，探讨用基尼系数来反映企业内部收入分配的合理性问题。论文先从理论上分析了企业内部影响基尼系数的因素，企业分配政策对基尼系数的影响：然后根据实际数据对三个组织的内部收入分配的基尼系数进行计算，证明了在企业应用基尼系数的可行性：最后得出结论：目前社会上存在的不公平，并不是工资差别引起的，而是由灰色收入、城乡差别、行业差别等其他因素引起的。     

零售企业规模无边界的理论与实证分析--以沃尔玛为例

企业规模理论在企业战略联盟及企业网络化环境下受到质疑，学术界提出了企业无边界理论．零售企业尤其是沃尔玛的快速扩张又提出了另一种无边界理论。这是两种不同性质的无边界理论。就单个企业的边界来说．生产企业和流通企业存在本质的区别．生产企业的资产专用性和技术跳跃所带来的沉没成本制约了生产企业的规模扩张．而流通企业的资产通用性和技术稳定性使流通企业避免了威廉姆森的企业“复制和有选择性控制的不可能性”命题的局限。本文通过沃尔玛的规模扩张的案例．建立影响企业规模因素的模型并进行实证分析．提出了零售企业规模无边界的命题。     

Chinese Walls in German Banks*

Analysts in a bank’s research department cover firms that have no relationship with the bank as well as companies in which the bank has a strategic interest. Officially, banks must establish Chinese Walls around their research departments to allow the analysts to work independently and to avoid the flow of insider information. We examine analyst behavior under long-term bank-firm relationships using ownership data and analysts’ earnings per share forecasts for German companies from 1994 to 2001. We find evidence that is consistent with analysts reconciling their employers’ interests with their own career concerns. They seem to use their information advantage strategically by releasing favorable and thereby more precise reports when the market underestimates earnings. In order not to jeopardize the bank-client relationship, they suppress negative information when the market is too optimistic. Combining situations where the market over- and underestimates earnings, we can replicate the unconditional positive bias in analyst forecasts found in the previous literature. Despite the bias in affiliated analysts’ forecasts, they nonetheless selectively communicate valuable information to investors. *We gratefully acknowledge the contribution of I/B/E/S International Inc. for providing earnings per share forecast data. This data has been provided as part of a broad academic program to encourage earnings expectations research. We thankfully acknowledge financial support from the Austrian National Bank (OeNB) under the Jubil?umsfonds grant number 8523. We thank Werner Antweiler, Michael Halling, Helmut Elsinger, Evelyn Hayden, Greg Hebb, Cornelia Kullmann, Kai Li, Colin Mayer, Stefan Pichler, Duane Seppi, Alex Stomper, Neal Stoghton, Michael Stutzer, Suresh Sundaresan, Yishay Yafeh, Josef Zechner, Christine Zulehner, an anonymous referee, and seminar participants at UBC, the Northern Finance Association meetings, the Western Finance Association meetings, and the European Finance Association meetings for helpful comments and Eva Smolen for excellent research assistance.     

Information Uncertainty and Stock Returns

There is substantial evidence of short‐term stock price continuation, which the prior literature often attributes to investor behavioral biases such as underreaction to new information. This paper investigates the role of information uncertainty in price continuation anomalies and cross‐sectional variations in stock returns. If short‐term price continuation is due to investor behavioral biases, we should observe greater price drift when there is greater information uncertainty. As a result, greater information uncertainty should produce relatively higher expected returns following good news and relatively lower expected returns following bad news. My evidence supports this hypothesis.