基于LRUH模型的战略联盟成员相关性测度研究

战略联盟成员相关性对于战略联盟的稳定性、风险水平和绩效具有重要影响,借鉴研究集团多元化战略的LRUH模型,测度战略联盟成员相关性,将战略联盟划分为低度多元化联盟、非相关战略联盟、相关战略联盟和高度多元化联盟4种类型。以中国汽车产业中代表性企业战略联盟为例,应用LRUH模型对汽车行业战略联盟的相关性进行了测度。最后,分析了用LRUH模型的优点和不足,并展望了未来的研究方向。     

我国创意指数理论模型与测度指标体系研究

在对国内外创意指数相关研究进行综述分析的基础上,构建了我国创意指数的理论模型。通过指标初选和修正两个阶段,设计了我国创意指数测度指标体系,分为3个层次、五大类、共23个指标。最后利用该体系对我国七大城市的创意指数进行了测度。     

The quality of market-oriented behaviors: Formative index construction

Current measures of market orientation do not systematically capture the quality of market-oriented behaviors [MOBs] (Jaworski BJ, Kohli AK. Market orientation: review, refinement, roadmap. Journal of Market Focused Management 1996;1[2]:119-135). In a bid to address this issue, the authors develop formative indices of the key factors underlying market-oriented behavior quality, and empirically validate the indices using survey data from a sample of 253 marketing managers. Findings suggest that optimal market-oriented behavior involves many distinct activities, such as speed and formalization of information generation, dissemination and response, quantity of information generated, comprehensive information dissemination, and extent of information use, to name a few. For researchers, the findings expand the platform from which to generate fresh understanding of MOBs' antecedents and consequences. The indices also have diagnostic capabilities which can help managers understand how to improve the quality of market orientation within the firm.     

解析会计计量属性选择对财务分析的影响

由于经济高速发展,企业组织和经济业务日益复杂,根据资产的性质选择不同的计量属性进行计量已经成为现代财务会计的必然选择。因为选择的计量属性不同,财务报告所反映出的结果存在差异,历史成本计量属性,在通货膨胀的情况下,会失去资产计量的客观性,非历史成本计量属性虽然理论上更加符合决策的要求,但是如果没有有力的监管,也会给经营者留下很大的利润操作空间。经过严格监管的非历史成本计量属性的选择可以给使用者提供更加丰富的财务分析指标。     

我国央行相对独立性的测度与通货膨胀关系

基于1978-2008年的经验数据,引入收入不平等、固定资产投资等宏观经济变量,通过多元回归嵌套模型的建立和运用,本文对我国中央银行独立性(CBI)与通货膨胀的关系进行了实证分析。研究发现CBI与通货膨胀不仅呈负相关关系,并且是通过与基尼系数和固定资产投资增长率的交互作用实现的,CBI指数每增加一个单位,通货膨胀率大约会降低3.54个百分点。研究还发现CBI存在一个作用的适度区间,即:CBIt∈(14.28,20.65)。基于此,我们认为,在14.28至20.65的区间内适度增大CBI可抑制通货膨胀。     

Measuring the convergence of national accounting standards with international financial reporting standards: The application of fuzzy clustering analysis

A single set of accounting standards is considered the path to achieving accounting convergence globally. Given the important role that formal harmonization/convergence plays in the accounting profession and global capital markets, this study focuses on the methods and methodology for the measurement of formal accounting convergence. Based on our review and evaluation of the existing methods for measuring the level of harmonization/convergence between any two sets of accounting standards, we propose using a new method of matching and fuzzy clustering analysis to assess the convergence progress of national accounting standards (NAS) with International Financial Reporting Standards (IFRS) from whole and single standards, respectively. Single standards are clustered according to their convergence level, which may indicate further convergence emphasis. As an illustrative example, the achievements made in China are evaluated using this new method. The results reveal that this new method can measure the convergence level of NAS with IFRS more clearly and informatively.     

新会计准则下公允价值会计理论的研究

与提高会计信息质量的相关性相适应,完善和应用公允价值计量是一种趋势。作为五大计量属性之一,基于理论上的局限性,应用上大量的假设和前提,公允价值计量是可供选择的计量方法之一。因此,要积极、稳妥地推进公允价值的计量,提高会计信息的质量,更好地服务于经济发展。     

信用集中风险研究新进展

历史经验显示,信用集中风险是造成银行危机的一个主要原因,因此,在目前我国信贷快速膨胀、信用集中风险显著加剧的背景下,急需加强对我国商业银行信用集中风险的研究.然而,目前国内研究仍停留于定性分析阶段.鉴于此,本文从信用集中风险的监管要求,信用集中风险测量的理论分析和实证研究三方面对国外信用集中风险及经济资本测度模型的研究进行了述评,以期为提高我国商业银行信用集中风险的测量水平,构建与BasPl Ⅱ一致条件下的经济资本测度模型,从而为提高我国商业银行的信用风险管理能力提供一定的参考.     

大型企业集团战略性绩效考核体系构建

绩效考核在我国大型企业集团越来越受到重视,如何建立有效的绩效考核体系也成为了一项非常重要的课题。本文从战略管理的角度建立了我国大型企业集团绩效考核体系,旨在对公司内部能力的考核,以此提出了基于战略柔性和战略有效性的大型企业集团战略性绩效考核体系,并且借助AHP方法,针对所设计的指标体系,构建企业绩效的计算模式。     

Realized volatility forecasting: Robustness to measurement errors

In this paper, we suggest how to handle the issue of the heteroskedasticity of measurement errors when specifying dynamic models for the conditional expectation of realized variance. We show that either adding a GARCH correction within an asymmetric extension of the $\mathsf{HAR}$  class ($\mathsf{AHAR}$-$\mathsf{GARCH}$), or working within the class of asymmetric multiplicative error models ($\mathsf{AMEM}$) greatly reduces the need for quarticity/quadratic terms to capture attenuation bias. This feature in $\mathsf{AMEM}$ can be strengthened by considering regime specific dynamics. Model Confidence Sets confirm this robustness both in- and out-of-sample for a panel of 28 big caps and the S&P500 index.