A Portfolio Selection Method Based on Pattern Matching with Dual Information of Direction and Distance

Pattern matching method is one of the classic classifications of existing online portfolio selection strategies. This article aims to study the key aspects of this method—measurement of similarity and selection of similarity sets, and proposes a Portfolio Selection Method based on Pattern Matching with Dual Information of Direction and Distance (PMDI). By studying different combination methods of indicators such as Euclidean distance, Chebyshev distance, and correlation coefficient, important information such as direction and distance in stock historical price information is extracted, thereby filtering out the similarity set required for pattern matching based investment portfolio selection algorithms. A large number of experiments conducted on two datasets of real stock markets have shown that PMDI outperforms other algorithms in balancing income and risk. Therefore, it is suitable for the financial environment in the real world.

Using Return and Risk Model for Choosing Perfect Portfolio Applied Study in Cairo Stock Exchange

Modern financial theory, commonly known as portfolio theory, provides an analytical framework for the investment decision to be made under uncertainty. It is a well-established proposition in portfolio theory that whenever there is an imperfect correlation between returns risk is reduced by maintaining only a portion of wealth in any asset, or by selecting a portfolio according to expected returns and correlations between returns. The major improvement of the portfolio approaches over prior received theory is the incorporation of 1) the riskiness of an asset and 2) the addition from investing in any asset. The theme of this paper is to discuss how to propose a new mathematical model like that provided by Markowitz, which helps in choosing a nearly perfect portfolio and an efficient input/output. Besides applying this model to reality, the researcher uses game theory, stochastic and linear programming to provide the model proposed and then uses this model to select a perfect portfolio in the Cairo Stock Exchange. The results are fruitful and the researcher considers this model a new contribution to previous models.

A Novel Momentum-Based Measure for Online Portfolio Algorithm

In recent years, digital investment portfolios have become a significant area of interest in the field of machine learning. To tackle the issue of neglecting the momentum effect in risk asset prices within the follow-the-winner strategy and to evaluate the significance of this effect, a novel measure of risk asset price momentum trend is introduced for online investment portfolio research. Firstly, a novel approach is introduced to quantify the momentum trend effect, which is determined by the product of the slope of the linear regression model and the absolute value of the linear correlation coefficient. Secondly, a new investment portfolio optimization problem is established based on the prediction of future returns. Thirdly, the Lagrange multiplier method is used to obtain the analytical solution of the optimization model, and the soft projection optimization algorithm is used to map the analytical solution to obtain the investment portfolio of the model. Finally, experiments are conducted on five benchmark datasets and compared with popular investment portfolio algorithms. The empirical findings indicate that the algorithm we are introduced is capable of generating higher investment returns, thereby establishing its efficacy for the management of the online investment portfolios.

A probabilistic estimation model for seismic physical portfolio loss of a water supply pipeline system

Losses due to hazards are inevitable and numerical simulations for estimations are complex.This study proposes a model for estimating correlated seismic damages and losses of a water supply pipeline system as an alternative for numerical simulations.The common approach in other research shows average damage spots per mesh estimated statistically independent to one another.Spatially distributed lifeline systems,such as water supply pipelines,are interconnected,and seismic spatial variability affects the damages across the region;thus,spatial correlation of damage spots is an important factor in target areas for portfolio loss estimation.Generally,simulations are used to estimate possible losses;however,these assume each damage behaves independently and uncorrelated.This paper assumed that damages per mesh behave in a Poisson distribution to avoid over-dispersion and eliminate negative losses in estimations.The purpose of this study is to obtain a probabilistic portfolio loss model of an extensive water supply area.The proposed model was compared to the numerical simulation data with the correlated Poisson distribution.The application of the Normal To Anything(NORTA)obtained correlations for Poisson Distributions.The proposed probabilistic portfolio loss model,based on the generalized linear model and central limit theory,estimated the possible losses,such as the Probable Maximum Loss(PML,90%non-exceedance)or Normal Expected Loss(NEL,50%non-exceedance).The proposed model can be used in other lifeline systems as well,though additional investigation is needed for confirmation.From the estimations,a seismic physical portfolio loss for the water supply system was presented.The portfolio was made to show possible outcomes for the system.The proposed method was tested and analyzed using an artificial field and a location-based scenario of a water supply pipeline system.This would aid in pre-disaster planning and would require only a few steps and time.

Portfolio在全科医学住院医师培训中应用初探

目的探索Portfolio在全科医学住院医师培训中的应用,促进住院医师反思性学习,帮助住院医师在实践中不断进步,实现培养目标要求。方法首先,通过问卷法和访谈法了解住院医师对Portfolio应用的看法。然后,在社区基地培训过程中,建立了住院医师Portfolio,并进行形成性评价。采用病历审阅方法评估接诊记录、居民健康档案、个人健康管理报告所体现的相关能力。采用迷你临床演练评估(mini-CEX)方法评价临床综合能力。结果通过建立Portfolio改革了培训和评价方式,引入了形成性评价。住院医师普遍认为Portfolio能有效地提高自主学习、终身学习和批判性思维能力,强化其全科医学临床思维能力和临床综合能力的培养。病历审阅结果显示随着培训过程的不断推进,评分均逐渐提高并达到合格标准。在社区实践基地培训开始和即将结束时两次mini-CEX评分比较,后者高于前者,差异有统计学意义(P<0.01)。结论在全科医学住院医师培训中开发并应用Portfolio有助于促进住院医师的学习、管理和评价,提高培训质量,具有可行性。但Portfolio的设计原则、内容和评价标准还有待于进一步完善,电子版Portfolio有待开发。

Multistage Stochastic Programming Model for the Portfolio Problem of a Property-Liability Insurance Company

The current portfolio model for property-liability insurance company is only single period that can not meet the practical demands of portfolio management, and the purpose of this paper is to develop a multiperiod model for its portfolio problem. The model is a multistage stochastic programming which considers transaction costs, cash flow between time periods, and the matching of asset and liability; it does not depend on the assumption for normality of return distribution. Additionally, an investment constraint is added. The numerical example manifests that the multiperiod model can more effectively assist the property-liability insurer to determine the optimal composition of insurance and investment portfolio and outperforms the single period one.

高校教师教学质量过程性评价系统的设计与实现——基于Assessment Portfolios的实践

论述了基于Assessment Portfolios的教师教学质量过程性评价的概念和基本理念,根据其评价过程的特点和实际用户需求,设计了系统的功能结构,提出了基于Assessment Portfolios的教师教学质量过程性评价模式,完成了系统软件的设计和开发,并投入使用,实现了教师教学质量评价活动的信息化管理,提高了评价的科学性和公平性,完善了评价指标体系、评价工作机制和反馈机制。

基于遗传算法的一种Portfolio新模型

根据中国的证券市场现状和证券交易要求 ,提出了组合投资的整数规划模型 ,并应用遗传算法对其解法进行了研究 ,给出了模型的遗传算法编码规则与算法步骤。通过实例模拟证明了模型的合理性和有效性。与传统算法比较 ,本算法是有效的 ,具有很好的收敛性与收敛速度 ,取得了较好的结果。

基于Credit Portfolio View的信用风险度量模型研究

结合我国贷款企业的特点,Credit Portfolio View模型的转移矩阵中信用等级违约概率除了受宏观经济因素影响外,还受到行业因素、地区因素、规模因素以及企业所有制性质等因素影响,这些因素使得同一信用等级下的企业历史违约率统计出现差异。笔者对Credit Portfolio View模型违约因素做了宏观、行业、地区三个维度的扩展,并采用Logit模型与随机模拟相结合的方法,对模型参数进行了估计。

E-Portfolio与PBL教学模式相结合的实证研究

在了解E-Portfolio在国内外应用情况的基础上,结合"生物医学文献与网络资源"课程培养目标,设计开发E-Portfolio系统并应用于教学,并用模糊综合评价法结合Matlab软件对统计数据进行分析。结果表明电子学档注重过程性与交互式评价,能较全面、准确地反映学生的学习效果,应继续推广和深入探讨。

E-portfolio国际研究进展与发展动向——基于ERIC(2007～2014年)文献的分析

E-portfolio（电子档案袋）是21世纪重要的工具,是审视教育的一个新视角。该文主要采用内容分析法,选取了2007~2014年持续关注E-portfolio且具有国际影响力的ERIC数据库文献作为研究样本,从电子档案袋的设计与开发、影响因素、应用方式、应用效果、应用评价等五个方面,梳理分析了E-portfolio的主要国际研究进展与发展动向。研究表明,当前国际电子档案袋研究呈现如下特点和趋势：应用方式与应用效果研究是研究热点;应用方式研究关注反思评价、教与学支持及招聘求职;应用效果研究侧重探究电子档案袋对动机激发、知识技能增强、态度转变、高阶思维培养等的影响;设计开发研究则强调平台资源建设、改进设计及应用辅助工具设计;影响因素研究主要从制作、应用两个维度进行;应用评价研究关注了运用优、劣势及可行性等。

基于e-Portfolio的过程性评价系统设计与实现

过程性评价是指在课程实施过程中对学生学习进行评价的方式,e-Portfolio作为一种评价的工具与载体,能够有效促进过程性评价的实施。文章在分析过程性评价理念的基础上,提出一种基于e-Portfolio的过程性评价系统设计模型,并结合项目任务研发了相应系统,进行了初步应用。

E-portfolio对大学英语听力教学作用的研究

本研究是对电子档案袋在大学公共英语听力教学中的作用进行实验研究,为期一年。本研究是在大学英语听力教学中实施电子档案袋的教学模式,让受试学生在大学英语听力学习的过程中,借助学校的网络平台及互联网资源,使用电子档案袋的形式学习英语。研究结果证实了研究的假设,即大学英语听力电子档案袋的教学模式能明显地提升学生的元认知意识,同时也能有效地帮助学生提高他们的英语听力能力。

“Portfolio”在专业英语听力教学中理论与实践的探讨

从专业英语听力教学中实施学习档案袋评价方法的理论与实践进行探讨,认为学习档案袋有利于学生自我评价,促进学生自主学习,消除终结性评价方式给学生带来的负面影响,使学习成为学习者能力自我发展的过程,是促进专业英语学生听力水平提高的有效的教学及评价手段。

基于e-portfolio的学生评价策略的研究

课程评价既是学校教学活动的基本环节,也是保证学校教学沿着正确的方向向前发展的重要手段。文章立足于新课程评价改革的目标,介绍了档案袋(Portfolio)及电子档案袋(e-Portfolio)评价法,深入分析了利用e-Portfolio进行学生评价的必要性,并提出了一套基于e-portfolio的学生评价策略。

基于产品Portfolio的顾客终生价值测评方法

当前CRM研究中一个重要课题就是如何测评顾客终生价值问题。但是,CRM研究中有过分地强调技术而忽略市场营销的倾向。文章基于企业和顾客的均衡点———产品portfolio探讨顾客终生价值测评方法,提出了基于产品portfolio的顾客终生价值测评方法,可以向企业提供交叉销售或向上销售的营销机会。

基于硬约束热启动的量子投资组合优化算法

针对金融领域的投资组合优化问题中普遍存在的整数约束难题,提出了一种基于量子近似优化算法的新解法。该算法通过将经典算法得到的连续解编码为量子电路的初始态,从而将连续优化问题转化为离散的马科维茨模型。同时,引入硬约束来严格满足投资组合中的整数约束,确保解的质量。通过热启动技术,进一步提升了算法的成功率。数值模拟实验表明,该算法在求解大规模整数约束投资组合问题时,相较于传统方法具有显著的计算效率优势,且所得解的质量更优。

基于二阶段的云制造模式下高能效机床服务匹配

为实现云制造环境下匹配出高能效优质机床服务组合方案,建立一种基于供需知识图谱的机床资源二阶段决策模型。首先,构建考虑能耗属性的机床服务供应和零件加工主客观需求的供需知识图谱。其次,建立机床服务时间、成本、能耗和质量指标计算模型,针对能耗指标采用基于实际功率、切削比能、额定功率3种计算策略。然后,面向客户需求构建二阶段匹配模型实现机床服务决策;其中,一阶段以知识图谱检索和蕴涵关系推理初选机床服务集合,二阶段以马尔可夫决策过程表征机床节能服务组合优化问题,并采用强化学习Actor_Critic算法求解。最后,通过机床服务资源仿真池构建和箱体加工案例试验,发现Actor_Critic算法相较于DQN(deep Q-learning)、PGM(policy gradient method)和DDPG(deep deterministic policy gradient)算法具备更优收敛效果,可快速匹配出云制造环境下经济节能且高效优质的机床服务组合方案。

Application of Portfolio Assessment in College English Writing

Portfolio assessment is considered as one of the most beneficial assessments in English teaching.However this effective assessment is neglected in college EFL writing.This paper aims to find out whether portfolio assessment can be used in English writing class effectively and describe the implement of this assessment.