新股价格制定及市场反应中的会计信息分析

上市公司新股发行定价及其价格波动与公司提供的会计信息密切相关。在股票发行定价市场化改革的进程中,券商、一级市场投资者、二级市场投资者对会计信息的反应是有差异的。     

灰色系统理论的财政支出效益研究——以广东省财政支出数据为例

人均收入的增长是度量财政支出效益的指标之一.考察财政支出各项目与人均收入的关系,不仅有利于提高财政支出资金的使用效果,也利于促进财政资源的配置效率,还有利于强化财政管理、完善单位预算管理.通过采用灰色系统理论对广东省城镇和农村2002-2009年的财政支出与人均收入的关系进行灰色关联度分析,得出如下结论:财政支出确实能够促进人民收入的增长;科技支出在促进广东省人均收入增加方面比其他支出的增收作用明显;教育支出对农村的增收作用比城镇大;基础建设在促进农村增收的作用比城镇小.同时提出了通过提高整个财政支出的绩效、加大对农村教育支出的力度并提高教育支出的边际收益率、增加向低收入群体的社会保障支出、提高农村基础建设投入效率并增强农村基础建设的利用率来有效提高广东省居民收入的财政政策建议.     

我国物流业与三次产业的关联度——基于产业融合视角

运用灰色关联分析模型,计算了我国物流业及其子行业与三次产业的关联度,从产业融合的视角分析了我国物流业与三次产业的相互关系及融合情况,并基于投入产出表计算得出物流业与三次产业的感应度系数和影响力系数,以验证基于灰色关联分析模型所得的结果。结果显示:基于灰色关联分析模型和投入产出表所得的结果具有一致性,即我国物流业与三次产业具有较强的关联性,但物流业发展与国民经济发展不协调,物流业内部结构不合理。最后提出:通过促进物流业内部及外部融合,推动物流业结构调整、服务升级;促进国民经济各产业协调发展,提高物流业的竞争力。     

宏观经济与股票价格波动之间的关系研究

利用Copula模型,研究宏观经济变量与上证股指收益率之间的相关关系,在选择合适的边缘分布函数的基础上,分别建立了常相关的二元正态Copula函数、t—Copula函数、FrankCopula函数、ClaytonCopula函数以及Gum—belCopula函数模型,并且利用欧氏距离方法选择出最佳拟合Copula模型。选取2001年1月至2011年12月的月度数据作为处理对象,并利用最佳拟合模型分析宏观经济变量与上证股指收益率间相关关系及相关结构,从而揭示了中国宏观经济与股票市场之间的相关性。     

失地农民参与新型农村合作医疗影响因素探析——基于江阴市临港新城H小区失地农民的调查

基于对发达地区江阴市临港新城H小区的调查,从微观视角关注失地农民群体中个体特征对新型农村合作医疗制度运行的影响,探讨失地农民群体对新型农村合作医疗制度的认知程度与其参与新型农村合作医疗的具体选择行为之间的相关性,深入考察新型农村合作医疗制度实施现状,探寻新型农村合作医疗制度在失地农民群体中实施存在的问题,以期对完善新型农村合作医疗保障制度建设提供参考。     

How do great shocks influence the correlation between oil and international stock markets?

We investigate the impacts of great shocks (2003 Iraq War and 2008 Financial Crisis) on the correlations between oil and US/China stock markets, utilizing a novel MADCC (mixed asymmetry dynamic conditional correlation) model. This model successfully captures the coexistence of opposite signed asymmetries. We find that great shocks indeed increased the correlations. Further, results from the news impact surfaces indicate that correlations between oil and stock markets are higher to joint negative shocks; however, correlation between stock markets has stronger response to joint positive shocks.     

Are exchange rates interdependent? Evidence using wavelet analysis

We examine the co-movement in daily returns of USD–INR, EUR–INR, GBP–INR, and JPY–INR currency pair futures contracts traded on the National Stock Exchange of India (NSE) using the wavelet cohesion approach. This study contributes to the literature by examining the scantly studied area of co-movement in exchange rates and using the wavelet approach, which allows us to analyse time–frequency-wise co-movement of the time series. The empirical results indicate that the currency futures markets are nearly perfectly integrated in the long run (monthly, quarterly and biannual scales) offering little potential gains from international portfolio diversification. The discrepancies between currency futures markets are small and almost fade away within 3–6 months. Moreover, international currency diversification might offer relatively higher potential gains at intraweek, weekly, and fortnightly time horizons owing to lower correlations among the currencies under consideration. Finally, our multiple-wavelet correlation and cross-correlation analysis shows that GBP acts as a potential leader/follower across scales. The results of our analysis indicate the dynamic pattern of co-movement among the major currency futures contracts, which provides several implications for portfolio managers and international investors participating in the Indian market.     

Identifying R&D partners through Subject-Action-Object semantic analysis in a problem & solution pattern

Today’s companies still rely heavily on expert knowledge rather than quantitative data with a systematic approach to effectively identify and choose Research and Development (R&D) partners. It is advantageous to identify and select potential R&D partners using a Problem & Solution (P&S) pattern. This paper presents a novel process for identifying R&D partners on the basis of solution similarities that assist technology managers in understanding the relationships between research targets. First, we choose a thematic dataset that contains problems and quantitative data with relative topic terms. Then, we extract Subject-Action-Object semantic structures in a P&S pattern from the dataset, and identify various solutions to a technical problem, with each as a subject. In addition, we provide correlation mapping to visualise the text characters and identify R&D partners. Finally, we validate the proposed method through a case study of the dye-sensitized solar cells sector.     

北部湾城市群自然资本利用状况、空间分析与驱动因素

以北部湾城市群为例用三维生态足迹模型、偏最小二乘法、空间计量模型分析了其自然资本利用状况、空间相关性、驱动因素。结论:(1)城市群自然资本利用处于不可持续状态;(2)自然资本利用程度划分为低、中、高三类,城市也相应分成三类;(3)自然资本利用的主要驱动因素是人口因素、社会经济;(4)空间分析显示全局莫兰指数为正,空间集聚显著,表明自然资本利用存在空间正相关;空间误差模型拟合度最好,并证明自然资本存量占用与人口总量正相关,与GDP总额负相关。     

全球价值链视角下我国区域造船产业竞争力评价研究

根据全球价值链理论,结合微笑曲线,文章从研发能力、制造能力、营销能力3个环节,构建了造船产业竞争力评价指标体系,运用灰色关联法对我国15个主要造船省份的造船产业竞争力进行排名,分析我国造船产业在融入全球价值链过程中,各个主要造船省份的竞争优势和劣势,最后对几个主要省份造船产业竞争力提升提出了对策建议。