分式布朗运动模型下的金融市场风险度量--以上证指数为例

金融市场风险度量在金融风险度量乃至于整个金融风险管理过程中都具有十分重要的地位。本文基于2013年至2014年上证指数的收盘数据,通过对分式布朗运动驱动的随机微分方程进行离散化处理,用其解（分式几何布朗运动）模拟上证指数的未来走势。在此基础上,采用Monte Carlo模拟法模拟出上证指数的价值分布与损益分布。最后,在95％的置信水平下计算出上证指数的在险价值（ VaR）。相对于传统股票价格预测模型---布朗运动模型,分式布朗运动模型更符合金融问题本身;利用Monte Carlo模拟法不再借助于股票价格历史数据。故而本模型对市场金融风险的预测精度更高。     

探索旅游目的地服务质量的波动

当越来越多的城市、地区认识到旅游发展的潜力和重要性，并积极进入副旅游目的地发展时，旅游目的地的竞争也越来越剧烈，旅游服务质量成为旅游目的地竞争的关键，但是国内旅游目的地质量管理中存在结构性的缺陷还没有得到充分的重视，例如，导致目的地服务质量普遍存在波动，旅游服务质量提升滞后于游客的预期等现象的原因还需进一步探讨。运用系统动力学分析方法，探询旅游目的地服务质量管理的内部结构，并建立起质量管理的动态模型。此研究通过模拟实验，评估旅游目的地旅游质量管理的特点，并对改进目的地的质量管理做出建议。     

基于PSO算法的股权拍卖机制设计及仿真分析

运用PSO群体智能算法模拟信息交互条件下外部投资者报价决策的学习机制和演化规律,在此基础上设计了实现风险投资退出的股权拍卖机制。Netlog仿真结果表明,所设计的股权拍卖机制能在一定程度上揭示股权的真实价值,并降低竞买人和卖方之间的信息不对称程度。进一步的仿真分析结果表明:适当的激励力度对外部投资者的投标报价具有显著影响;引入更多的竞买人能产生更有利于风险投资家的拍卖结果;即使外部投资者过于强化单一的学习能力,最终也可得到相对理想的拍卖结果,从而证明了所设计的股权拍卖机制具有广泛的适用性。     

仿真技术在电类课程实践教学中的应用

在电类实践课程教学过程中引入仿真软件,可以克服传统实践教学中的一些不足,使教学过程更加方便、灵活、直观,能激发学生的学习兴趣,从而能取得更好的教学效果。通过阐述多种仿真软件在电类课程实践性教学中的应用,说明引入仿真技术有利于提高教学质量,也是电类专业课程教学改革的关键之一。     

基于Copula的股票型开放式基金的组合风险度量

本文在＂推出股指期货和融资融券＂的新政策下,结合t-EGARCH模型和Copula方法对股票型开放式基金进行分析.该模型能更好地捕捉资产间的非线性相关性,更符合现实市场.并在此基础上,利用蒙特卡洛模拟计算了景顺增长基金前十大重仓股票及其投资组合的VaR值,从而验证了模型的有效性。     

景区游憩行为计算机仿真系统研究综述

景区游憩行为计算机仿真系统是从景区游客游憩行为入手研究游憩使用与游憩环境如何相互作用、相互影响进而解决它们之间平衡、和谐发展问题的一种方法。文章深层剖析景区游憩行为仿真系统发展的内外因及由此导致的模型分类,然后以景区游憩行为计算机仿真系统的理论与方法支撑、工作过程、应用为视角,详细分析国外有代表性的景区游憩行为计算机仿真系统,以期为国内景区游憩行为计算机仿真系统研究提供理论、方法、操作上的参考与借鉴。     

基于改进粒子群算法的无人机航迹规划

针对当前基本粒子群算法无人机航迹规划在后期收敛速度比较慢、效率不高、易陷入局部最优等问题,提出一种改进粒子群算法。首先,在迭代前期和后期分段设置惯性权值的调整,实现粒子惯性和寻优行为的平衡;其次,设置一个定值与相邻2次适应度函数最优值比较策略,防止陷入局部最优;最后,引入遗传算法的交叉、变异机制,得出更优的结果。并通过仿真验证了改进粒子群算法在三维空间航迹规划的有效性和可行性。结果表明,与其他航迹规划算法相比,新算法具有路径长度更短、耗时更少、路径更平滑等优点,加快了收敛速度,提高了航迹规划效率和稳定性。因此,改进算法的航迹规划可得到满足约束关系的最优航迹,对实现自主飞行有重要的参考价值。     

Where to vacation? An agent-based approach to modelling tourist decision-making process

Agent-based models (ABMs) are becoming more relevant in social simulation due to the potential to model complex phenomena that emerge from individual interactions. In tourism research, complexity is a subject of growing interest and researchers start to analyse the tourism system as a complex phenomenon. However, there is little application of ABMs as a tool to explore and predict tourism patterns. The purpose of the paper is to develop an ABM that increases knowledge in tourism research by (i) considering the complexity of tourism phenomenon, (ii) providing tools to explore the complex relations between system components and (iii) giving insights on the functioning of the system and the tourist decision-making process. A theoretical ABM is developed to improve knowledge on tourist decision-making in the selection of a destination to vacation. Tourists’ behaviour, such as individual motivation, and social network influence in the vacation decision-making process are hereby discussed.     

Establishing the validity of cycle path capacity assumptions in the Highway Capacity Manual

Cycle mode share increase is widely desired, but highway design practitioners lack the numerical tools to deliver infrastructure, instead relying on design standards and intuition, with little literature basis. As a case in point, the US Highway Capacity Manual (which is well used internationally) has developed levels of service for cycle infrastructure that are, at their core, based on an assumption of noninteraction between multiple cyclists. This paper uses a modified implementation of the Social Force Model to test the validity of this assumption. Necessary changes such as the consideration of acceleration characteristics and minimum maintainable speed are included. The resulting model produces valid outcomes in keeping with established traffic flow properties, reflecting three-phase traffic flow theory and the ability for the stochastic elements in traffic flow to cause flow breakdown. The developed simulation indicates that there is a fundamental difference in outcome if cyclists are assumed to have a fixed speed versus one they can change given their surroundings. This difference in outcomes is found to exist within the range of literature design flow capacities for bicycle infrastructure and also yields emergent outcomes that align closely with those known behaviors of highway vehicles, which intuitively transfer to cyclists. These findings reinforce the standing need for large-scale empirical studies to determine the basic numerical and behavioral parameters for cyclists, upon which all design ultimately rests.     

The Benefit Function Approach to Modeling Price-Dependent Demand Systems: An Application of Duality Theory

In this article, we advocate more extensive use of the benefit function in specifying price-dependent or inverse demand models. We demonstrate how duality theory may be used to establish the interrelationships between the Marshallian (or Hicksian) inverse demands and Luenberger's adjusted price functions, allowing estimable inverse demands to be derived directly from a benefit function. We estimate two systems of inverse demands for Japanese quarterly fish consumption. Results indicate that the procedures and methods employed here appear promising, and may prove beneficial for quantity and welfare analysis when modeling systems of inverse demand functions.