An Approach of Stocks Substitution Strategy Using Fuzzy Interval Correlation Coefficient

The classical Pearson's correlation coefficient has been widely adopted in various fields of application. However, when the data are composed of fuzzy interval values, it is not feasible to use such a traditional approach to evaluate the correlation coefficient. In this study, we propose the specific calculation of fuzzy interval correlation coefficient with fuzzy interval data to measure the relationship between various stocks. As such, the study is able to offer an improving measure of investment strategy for stocks substitution via the analysis of the fuzzy interval correlation. In addition, we use empirical studies to verify the validity of our proposal on fuzzy interval correlation coefficient using data from companies in electric machinery and plastic sectors in Taiwan.     

东北老工业基地高碳产业节能减排效果与税收政策关联关系

税收作为一种宏观调控的手段,起调节产业结构、促进经济发展的作用。运用灰色关联度分析模型分别对东北三省四大高碳产业节能减排效果与税收政策的关联关系进行实证分析,结果显示,电力燃气及水的生产和供应业节能减排效果与税收政策之间的关联度最高,关联度最弱的是建筑业,采矿业和制造业由于各省份产业结构不同会有所不同。根据东北三省四大高碳产业节能减排效果与税收政策的灰色关联性,四大高碳产业应采取不同的税收政策,促进东北老工业基地节能减排的发展,实现向低碳经济的转变。     

Distribution of the correlation coefficient for the class of bivariate elliptical models

We consider n pairs of random variables (X₁₁,X₂₁),(X₁₂,X₂₂),… (X_1n,X_2n) having a bivariate elliptically contoured density of the form where θ₁ θ₂ are location parameters and Δ = ((λ_ik)) is a 2 × 2 symmetric positive definite matrix of scale parameters. The exact distribution of the Pearson product-moment correlation coefficient between X₁ and X₂ is obtained. The usual case when a sample of size n is drawn from a bivariate normal population is a special case of the abovementioned model.     

农民合作与工业化水平间灰色关联研究

本文运用灰色关联分析方法,研究工业化水平与农民合作经济组织发展之间的关系,分析工业化水平对其发展的影响,并据此论证促进我国农民合作经济组织发展的理论观点.     

采样式多通道Gabor滤波对掌纹的特征提取和分类

掌纹识别已被证实为最方便和有效的身份识别方法之一。根据掌纹的性质提出了一种掌纹方向特征提取的新方法,该方法首先利用选取掌纹中最拟合椭圆的方法寻找感兴趣区域,然后利用适应人感官系统的多通道采样式Gabor滤波器进行滤波,并提出用根据掌纹纹理和方向特性动态选取Gabor滤波器参数的方法来设计滤波器。在滤波过程中,从不同分辨率入手,利用不同方向和宽度的滤波器分别对掌纹的主线、褶皱、嵴线进行提取,在极坐标系下用改进的环行方向投影算法计算块能量,并且进行编码。经过模糊C均值聚类方法验证,结果表明,该方法对于掌纹具有很强的识别能力。     

对我国通货紧缩与货币流通速度关系的实证分析

本文以货币数量论为理论基础,重点对我国通货紧缩中的货币流通速度做了详细分析,并用相关分析和Granger因果分析两种计量方法对我国通货紧缩与货币流通速度之间的关系做实证分析,从而指出货币流通速度的下降是我国通货紧缩的一个重要原因并进而提出相应对策和建议。     

The multivariate linear model with multivariatet and intra-class covariance structure

The prediction distribution of future responses from a multivariate linear model with error having a multivariatet-distribution and intra-class covariance structure has been derived. The distribution depends on ρ, the intra-class correlation coefficient. For unknown ρ, the marginal likelihood function of ρ has been obtained and the prediction distribution has been approximated by the estimate of ρ. As an application, a β-expectation tolerance region for the model has been constructed.     

Covariance structure of wavelet coefficients: theory and models in a Bayesian perspective

We present theoretical results on the random wavelet coefficients covariance structure. We use simple properties of the coefficients to derive a recursive way to compute the within- and across-scale covariances. We point out a useful link between the algorithm proposed and the two-dimensional discrete wavelet transform. We then focus on Bayesian wavelet shrinkage for estimating a function from noisy data. A prior distribution is imposed on the coefficients of the unknown function. We show how our findings on the covariance structure make it possible to specify priors that take into account the full correlation between coefficients through a parsimonious number of hyperparameters. We use Markov chain Monte Carlo methods to estimate the parameters and illustrate our method on bench-mark simulated signals.     

考虑组合动态调整效率的相关性估计模型比较

准确估计组合内资产收益相关性是构建投资组合、定价衍生品以及风险管理的关键.引入波动择时策略从组合动态调整效率角度比较两类组合相关性估计模型的应用价值,并且利用不重叠的Block Bootstrap抽样对原始数据进行模拟,以期获得更可信的实证结论.结果表明根据基于高频数据的"已实现"模型对组合进行动态调整较静态组合会获得更多收益,而根据DCC-GARCH模型调整组合反而会有损失,说明"已实现"模型比DCC-GARCH模型更具有应用价值.     

考虑信息源相关的软件可信性评估模型

本文研究了信息源相关背景下的软件可信性评估问题.首先提出了一种改进的Denoeux谨慎连接规则,给出了面向多证据合并的水平合成算法;其次,定义了一个综合折扣和相对权重的联合系数用于指标集结或群体意见集结;最后,在分析评估过程中客观存在的信息不确定性和信息源相关等问题的基础上,给出了一个基于证据理论的软件可信性评估模型.典型算例验证了该模型的合理性和有效性.