A BLACK－SCHOLES FORMULA FOR OPTIONPRICINGWITHDIVIDENDS

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Information flow between stock markets: A Koopman decomposition approach

Stock markets in the world are linked by complicated and dynamical relationships into a temporal network.Extensive works have provided us with rich findings from the topological properties and their evolutionary trajectories,but the underlying dynamical mechanism is still not in order.In the present work,we proposed a technical scheme to reveal the dynamical law from the temporal network.The index records for the global stock markets form a multivariate time series.One separates the series into segments and calculates the information flows between the markets,resulting in a temporal market network representing the state and its evolution.Then the technique of the Koopman decomposition operator is adopted to find the law stored in the information flows.The results show that the stock market system has a high flexibility,i.e.,it jumps easily between different states.The information flows mainly from high to low volatility stock markets.And the dynamical process of information flow is composed of many dynamic modes distribute homogenously in a wide range of periods from one month to several ten years,but there exist only nine modes dominating the macroscopic patterns.     

Identifying the structure of group correlation in the Korean financial market

We investigate the structure of the cross-correlation in the Korean stock market. We analyze daily cross-correlations between price fluctuations of 586 different Korean stock entities for the 6-year time period from 2003 to 2008. The main purpose is to investigate the structure of group correlation and its stability by undressing the market-wide effect using the Markowitz multi-factor model and the network-based approach. We find the explicit list of significant firms in the few largest eigenvectors from the undressed correlation matrix. We also observe that each contributor is involved in the same business sectors. The structure of group correlation can not remain constant during each 1-year time period with different starting points, whereas only two largest eigenvectors are stable for 6 years 8-9 eigenvectors remain stable for half-year. The structure of group correlation in the Korean financial market is disturbed during a sufficiently short time period even though the group correlation exists as an ensemble for the 6-year time period in the evolution of the system. We verify the structure of group correlation by applying a network-based approach. In addition, we examine relations between market capitalization and businesses. The Korean stock market shows a different behavior compared to mature markets, implying that the KOSPI is a target for short-positioned investors.     

我国上海股票市场GARCH效应实证研究

对我国上海股票市场的GARCH效应进行了实证研究，包括3个方面的内容：应用GARCH模型对股票收益率进行事前估计分析；对模型参数进行估计与最优选择；应用GARCH模型进行事后估计分析，结果表明我国上海股票上益率序列的波动具有显著性的异方差性，可以用GARCH（1，1）进行拟合。     

应用线性回归方法对无形资产进行收益预测

无形资产评估对引导列形资产的建立和完善具有重要作用，收益法是常用的无形资产评估方法，而收益的预测是无形资产评估中的一个难题，本文以新疆某上市公司为例，尝试在无形资产评估方法中用多元线性回归进行收益预测。     

岱衢族大黄鱼不同组织的同工酶谱

于2006年11月,在象山港采集30尾网养岱衢族大黄鱼,采用聚丙烯酰胺凝胶垂直电泳方法,研究分析了岱衢族大黄鱼眼睛、肌肉、肝脏、肾脏、脾脏、心脏、胸鳍、鳃和脑9种组织中16种同工酶（LDH、ADH、MDH、ME、SOD、POD、EST、GAD、ALP、ATP、FDH、SCD、IDH、GDH、ACP、GcDH）的表达情况,发现除IDH、GDH、ACP、GcDH 4种酶只显示微弱且不稳定的区带外,其他酶类在各组织中都显示出清晰稳定的酶谱,且这些酶在表型、分布和活性上均表现出高度的组织特异性,与各组织的生理功能相一致.     

炼钢厂连铸机的开浇时间决策优化模型

针对炼钢厂连铸机开浇时是否连浇以及开浇时间确定等问题,从钢厂生产线上待加工的铁水/钢水金属资源平衡的角度,建立了以连铸生产总效益最大为目标函数的连铸机开浇决策的混合整数规划模型,并用基于MATLAB软件的YALMIP优化工具进行模型的求解.针对某钢厂的实际情况进行模型的应用测试,结果表明:模型可以优化决策连铸机各浇次的开浇时间,有助于编制合理的炼钢厂生产调度作业计划,稳定各班次之间的生产条件,降低生产线上的积压金属量,为炼钢厂连铸机的有序开浇提供了技术手段.     

一个关于中国股票市场和宏观经济相互关系的实证分析

在简单介绍SVAR模型的基础上,对我国实体经济扰动和股市扰动对股票市场的影响作了实证分析,结果表明:目前我国股票市场的变化主要来源于股市扰动本身;各实体经济扰动虽有着稳定的影响,但不及股市自身的大,这可能和我国具体的融资环境有关.