基于混频数据模型的宏观经济对股票市场波动的长期动态影响研究

股票价格时间序列与宏观经济变量时间序列原始数据的不同频直接导致传统计量模型在处理宏观经济波动与股票市场波动的关系问题中产生模型误设和估计偏误。本文运用混频自回归条件异方差模型从水平值和波动率两个维度实证分析生产者价格指数、居民消费价格指数、宏观经济景气指数及同业拆借利率四个宏观经济变量对股票市场波动的长期动态影响。同时,运用主成分分析提取宏观经济第一主成分并构建一个宏观经济综合指数,进一步探究宏观经济总体状况对股票市场波动的长期影响。研究发现:股票市场已实现波动率显著地放大了股票市场的长期波动。生产者价格指数、居民消费价格指数、宏观经济景气指数的水平值和波动率均对股票市场长期波动产生显著影响;且其波动率维度呈现出较强的持续效应;同业拆借利率仅在水平值维度对股票市场波动长期成分产生微弱影响。宏观经济第一主成分和宏观综合指数的波动率对股票市场波动长期成分均具有显著的正向放大作用,但持续效应较弱;而其水平值对股票市场波动长期成分的影响虽然微弱,但持续时间较长。     

我国居民生活质量评价指标与综合评价研究

生活质量不仅包含了福利的经济内函 ,还包含了像健康、教育、贫困、社会环境和自然环境质量等影响人们生活条件的诸多非经济要素。文章从收入状况、居民消费、社会安全、教育状况、健康状况、资源与环境、城市环境和社会服务八个方面提出了我国居民生活质量评价指标体系。现行生活质量综合评价方法不仅会受到主观因素的影响 ,而且无法剔除指标间的重叠信息 ,采用主成份分析法对居民生活质量进行综合评价恰好能够解决这些问题 ,从而可以提高其结果的真实性。     

QUALITY CONTROL WITH MULTIVARIATE DATA

The paper examines statistical process control of bivariate and multivariate data, using in particular the multivariate equivalents of the univariate Shewhart chart, CUSUM chart and the Exponentially Weighted Moving Average chart. This illustrates the usefulness of Principal Component methods in statistical process control with multivariate data.     

EXTENDED ANALYSIS FOR RANKED DATA

Standard analyses for ranked data or data which are analyzed using ranks are extended to give better comparisons. The new analysis allows detection of significant quadratic or dispersion effects.     

Effects of non-normality on the power function in a one-way random model

The effects of non-normality on type-I and type-II errors in a one-way random model are investigated for moderate departures from normality. It is found that the probabilities of both errors are more sensitive to the kurtosis of between group effects than that of within group effects.     

Dynamic factor models

Summary Factor models can cope with many variables without running into scarce degrees of freedom problems often faced in a regression-based analysis. In this article we review recent work on dynamic factor models that have become popular in macroeconomic policy analysis and forecasting. By means of an empirical application we demonstrate that these models turn out to be usefu in investigating macroeconomic problems.     

寿险公司偿付能力的综合评价

偿付能力是衡量一个公司经济能力的综合指标，而偿付能力监管是保险监管的首要目标，也是保险公司风险管理的主要内容。依据中国保监会对寿险公司偿付能力监管的要求，选取了九个财务指标，运用主成分分析法对18家活跃在中国保险市场的寿险公司的偿付能力进行了综合评价，提出应当拓宽保险资金运用渠道，优化管理结构，引进优秀人才，改进偿付能力评估办法，从而有效地提高中国寿险公司偿付能力。     

Invariant co-ordinate selection

Summary.  A general method for exploring multivariate data by comparing different estimates of multivariate scatter is presented. The method is based on the eigenvalue–eigenvector decomposition of one scatter matrix relative to another. In particular, it is shown that the eigenvectors can be used to generate an affine invariant co-ordinate system for the multivariate data. Consequently, we view this method as a method for invariant co-ordinate selection . By plotting the data with respect to this new invariant co-ordinate system, various data structures can be revealed. For example, under certain independent components models, it is shown that the invariant co- ordinates correspond to the independent components. Another example pertains to mixtures of elliptical distributions. In this case, it is shown that a subset of the invariant co-ordinates corresponds to Fisher's linear discriminant subspace, even though the class identifications of the data points are unknown. Some illustrative examples are given.     

Copula-based regression models: A survey

In this review paper we collect several results about copula-based models, especially concerning regression models, by focusing on some insurance applications.     

基于主成分分析的我国西部地区间产业结构转换能力评价

产业结构的演进和转换是经济发展的本质特征,也是促进经济持续稳定协调发展的关键。西部地区产业结构转换能力的地区差异十分明显,本文阐述了影响地区产业结构转换的一般因素,并通过主成分分析方法对影响西部地区产业结构转换的主要因素进行了分析,并对西部各地区产业结构转换能力、转换速度以及转换方向进行了分析评价。