沪深300指数收益率及已实现波动联合建模研究

金融资产的收益率和波动率是金融资产投资和风险管理等应用中的重要决定因素。针对收益率的新息过程与波动率的新息过程之间可能存在相关性的实际情况,将已实现波动区分为连续波动和跳跃波动,对收益率、连续波动和跳跃波动联合建模并刻画各时间序列模型新息之间的相关性,给出联合模型的最大似然估计法,使用2005年4月8日至2011年5月23日沪深300指数5分钟高频数据进行实证。研究结果表明,收益率、连续波动和跳跃波动的新息之间存在统计显著的相关性,对各时间序列单独建模估计的传统方法存在本质缺陷,沪深300指数已实现波动的杠杆效应及周日效应主要来自连续波动分量。联合模型通过对新息之间相关关系的合理刻画,提高了参数估计的有效性。     

基于C/S和B/S模式的高校基建项目管理信息系统的设计与实现

通过结合华中科技大学基建与后勤管理处MIS系统的开发实例,提出了建立高校基建后勤管理信息系统建设的必要性和可能性,并给出了系统的整体结构和主要功能,最后分析了系统实现过程中的一些问题.     

组织学习影响组织创造力的知识获取路径研究

为了探明组织学习方式与组织创造力之间的相关关系,基于知识的基础观理论,尝试从外部知识获取的视角出发,探索组织学习方式与组织创造力之间的内在机理,根据市场知识与技术知识信息偏重的不同,构建组织学习方式影响组织创造力的外部知识获取路径.采用问卷调查收集275个有效的企业样本,运用结构方程模型方法对样本数据进行统计分析.研究结果表明,探索式学习通过影响市场知识获取进而推动技术知识获取,最终影响组织创造力的作用路径,利用式学习则主要通过对技术知识获取的促进影响组织创造力,技术知识和市场知识获取在组织学习影响组织创造力过程中扮演不同的中介角色,探索式学习能更有效地推动外部知识获取,从而对组织创造力产生影响.     

顾客关系、信任与顾客对服务失败的反应

优异的服务质量是建立长期顾客关系的重要手段。本文通过实际调查,分析了服务质量的两个维度--结果质量和过程质量对顾客满意度和重购意愿的影响,并探讨了顾客关系和信任感在服务评价和顾客反应方面的作用。研究发现,服务过程和服务结果间存在交互作用,顾客关系对服务质量的影响发挥着调节功能,信任感经由服务结果而影响顾客的反应。     

商业银行收入结构对盈利能力的影响研究——基于中国14家上市银行面板数据的分析

银行业的激烈竞争使得利息收入业务对银行利润增长的贡献有限,越来越多的银行开始积极拓展服务,开辟非利息收入来源.本文基于中国14家上市商业银行2008-2010年季度数据,定量分析了商业银行收入结构对盈利能力的影响.结果表明,商业银行的非利息收入占比(手续费及佣金收入占比)和净息差对银行的盈利能力的影响都是正向的.商业银行在优化收入结构时必须控制成本费用才能使银行的盈利能力不断提高.国有控股银行的非利息收入占比要远远高于其它商业银行,且与盈利性成正向关系.全国性股份制商业银行和城市商业银行的非利息业务还很不完善,收入结构与盈利能力的回归系数不显著.商业银行盈利能力与宏观经济表现出一致的增长性.适中的银行规模能促进银行盈利能力的提高.     

制度因素对我国国际储备的惯性影响

本文在缓冲储备理论中引入了习惯形成因素,在BS模型的基础上构造了一个既包括国际收支波动性和机会成本同时又考虑了习惯形成因素的动态调整模型。利用1996-2009年间中国国际储备的月度数据进行了实证分析,结果表明:(1)一国国际储备是国际收支不确定性和机会成本的函数,它们三者之间存在长期均衡关系,也就是说BS理论预期模型在经过适当的修正后对中国外汇储备规模的实证研究是适用的。(2)习惯形成参数越大,以往的制度因素形成的惯性对后期储备积累的影响就越大,国际收支不确定性以及机会成本对储备的影响也越小,并且这个惯性一旦形成,很难立刻改变。(3)正是由于考虑了习惯形成因素,外汇储备规模关于国际收支不确定性的弹性以及机会成本的弹性更接近于BS模型的理论预期值。     

我国管理科学项目研究的若干问题

本文针对我国管理科学研究水平不高的现状,对研究题目的选择、研究目标、内容和技术路线的设计等方面存在的问题和原因作了系统的分析,并提出了一些看法和观点,供有关研究人员参考。     

Genetic distance,international experience and the performance of cross-border R&D for EMNEs

Cross-border R&D can contribute to the enhancement of independent innovation capabilities of emerging markets multinational enterprises (EMNEs) by benefiting from knowledge management. However, scant research exists examining the location impact of cross-border R&D for EMNEs on performance implications. This paper fills this important theoretical gap by building upon the literature of genetic distance in connection with knowledge management. We use a panel data of Chinese high-tech listed companies to empirically examine the impact of genetic distance on the performance of cross-border R&D and the role played by international experience. Our results reveal a positive relationship between genetic distance and the performance of cross-border R&D. Importantly, we highlight the motivation for cross-border R&D of EMNEs to acquire technical knowledge magnifies the positive effects of genetic distance and performance. Furthermore, our analysis indicates that international experience significantly enhanced the positive effect of genetic distance on cross-border R&D performance. We conclude this paper by discussing theoretical contributions to genetic distance, international management and knowledge management, as well as practical implications for cross-border R&D of EMNEs.     

Cultural values and innovation: The mediating role of entrepreneurial learning capacity

Although both cultural values and innovation are widely acknowledged as collective embodiments of individual values and assets, little is known about the mechanisms through which cultural values influence the likelihood of innovation by some entrepreneurs rather than others. We argue that institutional pressures arising from cultural values affect entrepreneurial learning capacity which in turn impacts innovation activities. Our multi-level analysis of entrepreneurs from 19 countries between 2006 and 2011 suggests that entrepreneurial learning capacity serves as a mediator through which entrepreneurs maximize the innovation-related benefits of cultural values to their businesses.     

Online MapReduce processing on two identical parallel machines

In this work we investigate the online over-list MapReduce processing problem on two identical parallel machines, aiming at minimizing the makespan. Jobs are revealed one by one, and each job consists of one map task and one reduce task. The map task can be arbitrarily split and processed on both machines simultaneously, while the reduce task has to be processed on a single machine and it cannot be started unless the map task has been completed. We first show that the general case of the problem reduces to the classical two machine online scheduling model with an optimal competitive ratio of 3/2. For a special case where the map task is at least as long as the reduce task, we prove that no online algorithm can be less than 4/3-competitive. An optimal Greedy algorithm with a matching competitive ratio is proposed as well.