Application of collective knowledge diffusion in a social network environment

ABSTRACT

We present a group dynamics model that shows knowledge integration as a process occurring over time. As each individual in the group contact others, his own knowledge changes, and over time the collective knowledge is obtained. This allows modeling knowledge diffusion in a social network and while the models presented in this paper are not competitive in that area, they approach the problem from previously unconsidered direction. We test the behavior of the model in a multi-agent simulation and we test a simple advertisement campaign in a social network. We provide discussion of elements needed for making model more competitive.     

Simulating the Evolution of the Implied Distribution

Motivated by the implied stochastic volatility literature (Britten–Jones and Neuberger, forthcoming; Derman and Kani, 1997; Ledoit and Santa–Clara, 1998) this paper proposes a new and general method for constructing smile–consistent stochastic volatility models. The method is developed by recognising that option pricing and hedging can be accomplished via the simulation of the implied risk neutral distribution. We devise an algorithm for the simulation of the implied distribution, when the first two moments change over time. The algorithm can be implemented easily, and it is based on an economic interpretation of the concept of mixture of distributions. It can also be generalised to cases where more complicated forms for the mixture are assumed.     

Government Deficit, Public Investment, and Public Capital in the Transition to an Aging Japan

This paper examines the effects of government deficits, public investment, and public capital on welfare in the transition to an aging Japan by applying a simulated general equilibrium growth model. One of the main results of this paper is that targeting only high economic growth would mislead us as to economic policies, and that a policy to reduce future government deficits is most preferable for almost all generations, even though a cut in future deficits must be followed by a decrease in public investment, thus a decrease in public capital in the future. J. Japan. Int. Econ., December 2002, 16(4), pp. 462–491. Faculty of Economics, Shiga University, Japan; and Management School, Imperial College, United Kingdom. © 2002 Elsevier Science (USA).Journal of Economic Literature Classification Numbers: H55, H54, H62, C68, J10.     

企业并购活动中目标企业选择的层次分析评估研究

企业并购是企业进行资本扩张、促进企业间存量资源合理统流动的重要途径。对企业并购中的目标企企的选择、价值评估进行研究，构建我国企业并前过程中目标企业选择的评价指标体系，运用AHP法对目标企业选择进行定量化评估，将有利于企业通过并购后，实现资源的最优配置．保证企业经营机制协调、有效地运行。     

Dominance Statistics: A Simulation Study on the d Statistic

Quality &; Quantity - Cliff (1993) has proposed the use of a measure of effect size alternative to traditionalmean differences: δ {? = Pr(xi1 &;gt; xj2) - Pr(xi1 &;lt; xj2)}which,...     

中国移动（香港）并购融资安排及其启示

并购活动需要大量资金支持,融资难已成为制约大规模战略并购的瓶颈之一.本文基于并购融资安排理论,通过对中国移动(香港)有限公司一系列并购融资安排的详细描述、统计、分析,揭示了中国移动(香港)并购融资的一些规律,从而说明企业应根据自身实际情况选择不同的并购融资安排,这对我国上市公司并购活动的融资安排具有重要的借鉴意义.     

面向供应链管理的库存问题与对策

以两个典型企业为例,比较研究了我国制造型企业在面向供应链管理的库存控制中的现象和企业行为特征,将所存在的问题归结为面向企业外部和内部两个层次。针对面向企业内部的问题探讨了解决对策,并讨论了用仿真作为供应链库存控制问题对策研究的基本方法的可行性和应用前景。     

VMI模式下最优订货点的仿真研究

通过VMI模式下订货流程的模拟,根据客户订货前置期的历史统计数据或分布函数,利用Arena软件求解配送中心最优订货点。研究表明,仿真分析能获得比常规数学方法更科学合理的最优订货点。     

中国商业银行跨业兼营财险和基金之模拟分析

通过使用模拟合并的方法分析中国商业银行跨业兼营财险和基金的潜在风险和收益,研究结果表明商业银行跨业兼营财险和基金能增加银行的收益,并提高单位风险的报酬,同时能显著降低商业银行的破产概率;研究结果同时显示,合适的财险和基金业务资产比重对于达到最佳的跨业兼营效果是必不可少的.此外,对比研究发现商业银行同时跨业兼营财险和基金比商业银行单一跨业兼营财险或者基金能获得更大的风险分散收益,因此支持银行同时跨业兼营财险和基金.     

我国股改中权证的价格泡沫及影响因素

本文针对我国股改中的百慕大权证提出了新的“模拟树-市场情绪”定价模型。该模型的实证研究结果表明中国权证市场价格存在严重高估;加入市场情绪指标后,通过建立多元回归模型得到了对于实际价格的显著的拟合结果,有力地解释了超出权证理论价格的实际价格所包含的情绪因素。本文最后对权证价格高估的原因及权证未来的走势进行了分析。