Dynamic analysis of stock return volatility in an integrated international capital market

This paper examines the dynamic behavior of the stock return volatility for Canada, Japan, Germany, and the United Kingdom. The evidence indicates that international stock return volatility is mainly influenced by the U.S. stock return volatility and the exchange rate volatility, supporting the international capital market integration hypothesis. There seems to be some correlation between stock return volatility and macroeconomic volatility, but the effect is relatively weaker. In addition to the economic fundamentals, the noise component is found to be time varying, confirming the AR(MA)CH specifications in the stock return models.     

中国银行业规模经济和范围经济的实证研究——基于复合成本函数的分析

本文首次在国内利用复合成本函数估计我国国有商业银行和股份制商业银行1998——2003年的成本函数,并计算出各自的规模经济和范围经济。复合成本函数把投入价格的对数二次项和产出的二次项结合起来,具有优良的实证研究性质。实证研究结果表明:时间对我国银行业的规模经济和范围经济影响不显著;国有商业银行和股份制商业银行都存在着轻微的规模不经济和范围不经济,国有银行略好于股份制银行。我国商业银行的两种产出——存款和贷款不存在成本互补性。     

我国金融发展与经济增长关系的区域差异分析——兼论分税制改革对金融发展与经济增长关系的影响

本文利用1979-2003年的省级面板数据，将我国分为东、中、西三大区域，考察了金融发展对经济增长的影响，结果表明：把国有商业银行贷款占GDP的比例作为金融发展的衡量指标对三大地区人均GDP均具有显著的正相关性，金融发展促进经济增长的理论在我国同样成立；但金融发展与实体经济部门之间均不存在良性互动的关系，其对经济增长的贡献仅仅停留在增加资本积累上，对资本配置效率的改善作用不大；1994年的分税制改革对金融发展促进经济增长的作用造成了显著的负面影响。因此，我国的金融体制改革需要将金融体制改革、国有企业改革、财税体制改革和政府体制改革纳入同一个分析框架中进行。     

基于VAR模型的山东省经济增长波动分析

本文通过建立向量自回归模型,运用脉冲响应函数和预测方差分解的方法对山东省经济增长的波动情况进行了实证分析。研究结果表明:各变量对山东经济增长的影响均不太明显。这说明山东经济一直保持稳定快速发展的势头。     

东北老工业基地改造中的政府职能定位

振兴东北老工业基地的关键在于塑造一批在国际市场中有竞争力的、混合所有制性质的超大型企业集团。为此,中央政府应承担国有企业发展过程中形成的历史包袱;对资源枯竭型城市给予专项补贴;对东北土地流转和整合试点给予特别政策;成立由中央政府牵头的东北老工业基地改造协调领导小组。     

The evolution of the seven steps of selling

The traditional seven steps of selling is perhaps the oldest paradigm in the sales discipline. The seven steps model has served as a basic framework in sales training, personal selling textbooks, and teaching personal selling classes. Very little has changed in this framework since the turn of the 20th century. This article reviews the traditional seven steps of selling, examines transformative factors that have led to changes in each step, and presents an evolved seven steps process. While the traditional seven steps reflected a selling orientation on the part of a firm, the evolved selling process reflects more of a customer orientation in that the focus is on relationship selling—that is, securing, building, and maintaining long-term relationships with profitable customers.     

An international study of internal audit function quality

We investigate organisational and environmental factors that influence firms’ incentives to develop high-quality internal audit functions (IAFs) by using a unique international sample formed by matching proprietary data from a global internal auditor survey with public data obtained from Worldscope. Concerning organisational factors, we find that a positive relationship exists between IAF quality and firm complexity and confirm that complex firms have a higher demand for monitoring and advising and, therefore, a greater need for formal controls. In addition, IAF quality is positively related to board monitoring and audit committee diligence but negatively associated with CEO power, which suggests that IAF quality is influenced by other key players in corporate governance. Regarding environmental factors, we document that IAF quality is positively associated with industry competition, which implies that a firm’s incentive for a high-quality IAF is enhanced when confronted with greater environmental uncertainty. Furthermore, IAF quality has a significantly positive relationship with our self-constructed index of IAF requirements included in national corporate governance codes, which indicates that strong home-country corporate governance codes play a role in fostering IAF development.     

“营改增”影响地方政府税收努力研究

基于随机前沿分析法（SFA）测算2011-2015年我国地方政府税收努力程度,并运用双重差分法考察“营改增”对地方征税行为的影响。研究发现：“营改增”将地方税（营业税）变为共享税（增值税）,显著降低了地方政府税收努力程度;改革对税收努力的冲击受经济发展水平、转移支付额度和税收返还的影响,获取转移支付收入和税收返还越多的地区税收努力下降速度越快。后“营改增”时期,如何提高税收效率,缓解地方财政收入对转移支付和债务收入的依赖性,是理顺中央和地方财税关系,完善财税收入体系的重要问题。     

Spillovers among CDS indexes in the US financial sector

By employing the robust cross-correlation function approach proposed by Hong (2001), and conducting pre-tests for structural breaks in the variances as well as removing the causality-in-mean effects in the causality-in-variance tests, we investigate volatility and mean transmissions between the credit default swaps (CDS) indexes of three US financial sectors. We use daily series on five-year banking, insurance, and financial services sector CDS indexes at the sector level from January 2004 to December 2011. We find evidence of significant causality-in-mean effects running from the banking sector to the insurance and financial services sector CDS indexes and from the financial services to the insurance sector CDS indexes, suggesting the leading role of the banking and financial services sectors in terms of price discovery. Moreover, we find significant causality-in-variance effects from the financial services sector CDS index to that of the banking sector, implying the existence of information transmission and contagion from the former, the least regulated of the three. The implications of these findings on traders and policymakers are also provided.     

Properties of Census Dual System Population Size Estimators

We study parametric and non‐parametric approaches for assessing the accuracy and coverage of a population census based on dual system surveys. The two parametric approaches being considered are post‐stratification and logistic regression, which have been or will be implemented for the US Census dual system surveys. We show that the parametric model‐based approaches are generally biased unless the model is correctly specified. We then study a local post‐stratification approach based on a non‐parametric kernel estimate of the Census enumeration functions. We illustrate that the non‐parametric approach avoids the risk of model mis‐specification and is consistent under relatively weak conditions. The performances of these estimators are evaluated numerically via simulation studies and an empirical analysis based on the 2000 US Census post‐enumeration survey data.