弱Hopf代数wslq2的代数结构

将弱Hopf代数的一个特例弱量子群wslq2分解为％（sl2）和二元多项式代数的直和，从而将wsl12的表示归结为％（sl2）和二元多项式代数的表示。还研究了wslq2的限制表示，证明了wslq2（m，n）同构于Uq（m，n）和一个带关系的二元多项式代数的直和，从而将wslq2的限制表示归结为％（sl2）和一个带关系的二元多项式代数的表示。     

二维细胞自动机伪随机序列发生方法研究

首先介绍了细胞自动机的基本概念。根据具有输入的细胞自动机的转移特征方程推导出了具有梯形结构的二维垂直邻居受限细胞自动机周期等统计特性。根据这些特性提出了一种二维细胞自动机伪随机序列发生方法。计算机模拟表明 ,具有梯形结构的二维垂直邻居受限细胞自动机伪随机序列发生器实现简单 ,产生的序列具有速度高、周期长和统计特性好等优点。     

Ratio K: a New Way of Metering and Evaluating the Risk and Return of Stock Investment

Although widely used, both the Markowitz model and VAR (Value at Risk) model have some limitations in evaluating the risk and return of stock investment. By the analysis of the conceptions of risk and return, together with the three hypotheses of technological analysis, a novelty model of metering and evaluating the risk and return of stock investment is established. The major indicator of this model , risk-return ratio K, combines the characteristic indicators of risk and return. Regardless of the form of the risk-return probability density functions, this indicator K can always reflect the risk-return performances of the invested stocks clearly and accurately. How to use the model to make optimum investment and how to make portfolio combined with clustering analysis is also explained.     

股市预测的马尔柯夫过程模型

给出了用马尔林夫过程预测股市短期或中长期走势的一种方法，对其它技术分析方法作了有益的补充。     

我国证券投资基金羊群行为及其对股价影响的实证研究

建立CCK校正模型，分别检验我国证券投资基金羊群行为及股市整体羊群行为是否存在；在CCK校正模型的基础上建立虚拟变量模型，以检验基金羊群行为与股市整体羊群行为二者的显著程度是否相同，从而证明基金羊群行为能否引起股市整体价格的波动。研究结果表明：我国基金羊群行为与股市整体羊群行为均显著存在，且二者的显著程度基本相等，主要是基金在整个股票市场中所占份额较少所致，因此基金羊群行为不会对股市整体价格波动产生大的影响。     

含看跌期权的股权回购方式在企业融资中的应用研究

近年来全球资本市场出现了股权回购的浪潮，关于股权回购的动因、市场反应，国内外有很多理论和实证研究，而股权回购中的具体方式上的金融创新，尤其国内特殊环境下的国有资本退出、不良贷款处置、中小企业融资颁域内的股权回购金融创新，尚未见有文献研究。针对中国实际协议回购中出现的含特殊看跌期权的股权回购，它所含期权相对标准美式期权有两个特点：有效期的起始时间不是现在而是未来某一时刻，执行价格不是常量而随时间变化。建立其计算模型，分析它在企业融资中的作用，研究它对融资双方投资收益率的影响，编制数值计算程序，计算一个实际算例，并进行敏感性分析。     

The predictability of stock market volatility in emerging economies: Relative roles of local,regional, and global business cycles

This paper explores the role of business cycle proxies, measured by the output gap at the global, regional, and local levels, as potential predictors of stock market volatility in the emerging BRICS nations. We observe that the emerging BRICS nations display a rather heterogeneous pattern when it comes to the relative role of idiosyncratic factors as a predictor of stock market volatility. While domestic output gap is found to capture significant predictive information for India and China particularly, the business cycles associated with emerging economies and the world in general are strongly important for the BRIC countries and weakly for South Africa, especially in the postglobal financial crisis era. The findings suggest that despite the increase in the financial integration of world capital markets, emerging economies can still bear significant exposures to idiosyncratic risk factors, an issue of high importance for the profitability of global diversification strategies.     

浅谈创新在典当业管理中的重要作用

伴随典当业的不断发展,业内人士也在不断创新,典当业存在很大的发展空间。文章就典当模式、内容及管理3方面的创新进行了分析及思考。     

The Information Content of Equity Block Trades on the Warsaw Stock Exchange: Conventional and Bootstrap Approaches

This paper focuses on the Polish stock market by analysing the information content of 95 equity block trade transactions executed on shares of companies constituting the WIG20 index. A normalized conventional approach and a bootstrap approach are used to draw inferences. These approaches make use of a multivariate regression model with two explanatory variables: a market return and a dummy variable for the event. Resampling allows construction of an empirical distribution of the normalized test statistic. The outcomes obtained from the application of a normalized conventional approach as well as a bootstrap approach are in line and confirm that equity block trade transactions carry an important signal to investors. Significant abnormal positive (negative) returns are associated with the execution of the equity block trades, the prices of which are higher (lower) than the closing prices 2 days before the execution of the equity block trade transactions. Copyright © 2015 John Wiley & Sons, Ltd.     

灰色理论在股市预测中的应用

灰色理论是上世纪八十年代发展起来的一门新学科,已经被成功地应用到经济、控制、工程等领域中。本文将灰色GM(1,1)模型应用于对股市的预测,并将所得值与由RBF网络预测的值进行线性组合以提高预测的精度。