VaR-APARCH模型与证券投资风险量化分析

基本统计分析发现,上证综合指数回报率分布存在尖峰肥尾性,不服从正态分布,并且还具有杠杆效应。本文应用APARCH模型在三种分布假设下对上证综合指数通过事后模拟和条件单步预测来计算上证综合指数的VaR风险值,然后把它与应用GARCH模型的估计结果进行比较分析。通过返回检验,我们发现,APARCH应用于VaR估计是统计有效的,并且明显优于GARHC模型。     

网络环境下数字化产品适用的营销模型研究

互联网和电子商务的广泛应用与开展,为数字产品营销提供了巨大的市场空间.同时,数字产品独特的交易过程也使其营销过程不同与传统产品.本文探讨三种经典的营销模型4P、4C和4S应用到数字产品的营销时的适用性.在已有研究总结出的四条命题基础上,通过三种渠道收集了45个数字产品营销工具作为样本,采用分类方法将三种经典的营销模型作为分类框架,对样本进行分类比较研究,验证了提出的五条假设并发现了三条有意义的结论:其一,数字产品的可试性和其需要的营销工具数量显著相关;其二,三种营销模型对不同种类的数字产品存在适用性的差异;其三,在网络营销环境中,数字产品常用的传输模式(下载和交互)与其适宜的分销方式(网上商店和独立网站)之间存在因果关系.     

Intelligent scheduling model and algorithm for manufacturing

This paper puts forward an intelligent scheduling model based on Hopfield neural network and a unified algorithm for manufacturing. The energy computation function and its dynamic state equation are derived and discussed in detail about their coefficients (parameters) and steps (Delta t) in iteration towards convergence. The unified model is focused on the structure of the above function and equation, in which the goal and penalty items must be involved and meet different schedule models. The applications to different schedule mode including jobshop static scheduling, scheduling with due-date constraint or priority constraint, dynamic scheduling, and JIT (just in time) scheduling are discussed, and a series of examples with Gantt charts are illustrated.     

省域内多地区投入产出表的编制和更新：江苏案例

 运用地区投入产出表解释区域内经济的空间关联特征及演化规律已成为当今区域经济研究的一个重要研究方向，但目前我国省域内多地区投入产出表的编制和应用研究尚少见。本文以《江苏投入产出表》(1987年和2002年)、1987年江苏部分地级市地区投入产出表和《江苏统计年鉴》等数据为基础，编制和更新了1987年和2002年江苏省苏南、苏中、苏北3个区域、30个部门的省域内区域间投入产出表。论文的关键技术包括：通过计算全要素生产率(TFP)形式的差异推算出直接消耗系数矩阵；通过引力模型来推算区域间流入流出的贸易系数矩阵；通过交叉熵(CE)技术，使得直接消耗系数矩阵的更新在已有信息条件下信息损失最小化。     

论我国戒毒模式中社会工作者的角色

本文主要分析了社会工作者在我国目前的几种戒毒模式中可以扮演的角色和实现途径。社会工作者在自愿戒毒模式中的角色是服务提供者和倡导者，在强制戒毒模式中的角色是协调者，在劳教戒毒模式中的角色是咨询者和组织者，在TC戒毒模式中的角色和功能是支持者。     

A note on connectedness in fixed effects manova and gmanova models withmissing cells

Murray and Smith (1985) and Hocking (1985) give a generalized definition and test of connectedness in the case of missing cells using the univariate cell-means model with linear restrictions on the cell-means. The test of connectedness is here extended to multivariate fixed effects models, including the usual MANOVA model with linear restrictions, the MANOVA model with double linear restrictions, and the GMANOVA model.     

Seasonal Time Series and Transfer Function Modeling

A simple modification is suggested for the construction of transfer function models relating an output variable Y_t to an input variable X_t when the model for X_t contains operators that cancel out. In addition, the evaluation of transfer function models is discussed by comparing the forecasts with the actual observations.     

公众满意结构的初步研究

本文在对相关研究进行述评的基础上,通过预调查编制公众满意结构调查问卷,对1566名成年人的正式调查表明,我国的公众满意主要包含七个因子:政府形象、社会安全、经济调控、教育就业与保健、人文生态保护、国际参与和民主政治;调查数据显示上述七因子受公众关注的程度存在着差异。研究结果为公众满意的测评内容提供了一个框架,也为公共行政的工作重点提供了参考。     

产品组合决策模型的适用性比较分析﹡

目前广泛使用的产品组合决策模型包括矩阵模型和定量模型两大类别。二者各有其使用价值,其中矩阵模型更适合做产品组合经营战略选择的工具,而定量模型特别适合投资组合的投资优先顺序的确定决策。但是传统产品组合决策定量模型及其现代使用的作业成本法和约束理论都存在一定缺陷而影响其使用效力。为了使决策定量模型更为合理化和适用化,尚需综合考虑产品的市场受欢迎度和不受欢迎产品的处理成本等综合市场竞争因素,优化决策模型,使改进后的决策模型更适应强烈市场竞争下的企业产品组合决策。     

Graphical Techniques for Selecting Explanatory Variables for Time Series Data

Bayesian model building techniques are developed for data with a strong time series structure and possibly exogenous explanatory variables that have strong explanatory and predictive power. The emphasis is on finding whether there are any explanatory variables that might be used for modelling if the data have a strong time series structure that should also be included. We use a time series model that is linear in past observations and that can capture both stochastic and deterministic trend, seasonality and serial correlation. We propose the plotting of absolute predictive error against predictive standard deviation. A series of such plots is utilized to determine which of several nested and non-nested models is optimal in terms of minimizing the dispersion of the predictive distribution and restricting predictive outliers. We apply the techniques to modelling monthly counts of fatal road crashes in Australia where economic, consumption and weather variables are available and we find that three such variables should be included in addition to the time series filter. The approach leads to graphical techniques to determine strengths of relationships between the dependent variable and covariates and to detect model inadequacy as well as determining useful numerical summaries.