基于主成分分析的高新技术上市公司业绩评价研究

以评价高新技术上市公司业绩为目的,针对现有高新技术企业业绩评价方法的不足,提出重点针对其成长性业绩评价指标体系。运用主成分分析法构建了企业业绩的综合评价模型,并对2008年35家高新技术上市公司进行了综合评价。研究表明,成长性能力已成为衡量高新技术企业发展的重要要指标,高新技术上市公司综合素质不高。     

排水固结法在高等级公路软土路基处理中的应用

文章结合广东省东莞市虎门港西大坦港区道路工程第二合同段K3+539～K3+860段软土路基具体工程实践,从工程技术、造价、工期及环境保护等方面进行分析,对简单、经济的排水固结法的应用及施工工艺做了较为详尽的阐述。     

深层搅拌法在房屋地基沉降处理中的应用

合理有效地处理软土地基是房建工程建设中的一项关键工作。针对广西南宁市某小区二期建设的实际情况,文章对选择软基处理方法进行了探讨,通过方案比较,选定深层搅拌法并应用到实际项目,取得良好的效果。     

论后方交会测量方法和内业电算程序的应用

后方交会测量方法是测绘基础技术之一。文章简述后方交会测量方法、待定点的取舍、测量资料的收集,并运用电算程序解决后方交会测量内业计算公式复杂的问题,提高内业运算的可靠性,使测量方法更加简便快捷。     

建筑水暖工程预算课程教学改革探讨

文章通过对建筑水暖工程预算课的特点进行分析,结合高职院校的培养目标,提出通过课程重组、开发立体化教材、采用案例法教学模式,以及运用先进的多媒体技术作为辅助教学手段等来提高教学质量。     

应变—距离法

本文在概述位移—距离曲线类型(包括直线、二次曲线或对数曲线、折线、双二次曲线及不规则曲线)及相应的断层扩展位错模式的基础上,建立了应变—距离函数,并提出应变—距离图新概念。应用应变—距离法,能准确地确定和清楚地表示断盘内或拆离面上部各点的应变。本文通过实例简述了运用应变—距离法确定和表达应变分布的步骤。     

Agenda formation and accounting standards setting: lessons from the standards setters

There are many studies on lobbying of accounting standards, but the technical agenda of regulators is taken as ‘given’ and why a particular topic was admitted to the agenda is not investigated. Agenda formation is important as control of the agenda determines which topics get regulated and the form of the regulatory response. A few studies have explored agenda formation across regulatory institutions but are largely silent on the role of individual decision makers and technical staff. However, the standards setters have sought to explain their agenda processes. This paper reviews statements by the members of accounting standards setting agencies about their experiences of agenda formation. It identifies insights gained from standard setters and makes some suggestions for future research.     

An exploratory study of operational reasons to budget

Budgets are used widely but criticized, mainly for performance evaluation reasons. We find that organizations regard budgets as more important for planning and control than evaluation, thus proposing a rationale for their continued use irrespective of evaluation‐based criticisms. This finding is also important, because most extant budget research focuses on evaluation, suggesting a potential disconnect between budget research and practice. We also find that rolling forecasts are used in tandem with the annual budget in most organizations, and for the same reasons. This was unexpected, as coexistence suggests their adoption for different reasons.     

Adjoint-based Monte Carlo calibration of financial market models

Adjoint methods have recently gained considerable importance in the finance sector, because they allow to quickly compute option sensitivities with respect to a large number of model parameters. In this paper we investigate how the efficiency of adjoint methods can be exploited to speed up the Monte Carlo-based calibration of financial market models. After analyzing the calibration problem both theoretically and numerically, we derive the associated adjoint equation and propose its application in combination with a multi-layer method, for which we prove convergence to a stationary point of the underlying optimization problem. Detailed numerical examples illustrate the performance of the method. In particular, the proposed algorithm reduces the calibration time for a typical equity market model with time-dependent model parameters from over three hours to less than ten minutes on a usual desktop PC.      

A new higher-order weak approximation scheme for stochastic differential equations and the Runge–Kutta method

The authors report on the construction of a new algorithm for the weak approximation of stochastic differential equations. In this algorithm, an ODE-valued random variable whose average approximates the solution of the given stochastic differential equation is constructed by using the notion of free Lie algebras. It is proved that the classical Runge–Kutta method for ODEs is directly applicable to the ODE drawn from the random variable. In a numerical experiment, this is applied to the problem of pricing Asian options under the Heston stochastic volatility model. Compared with some other methods, this algorithm is significantly faster. This research was partly supported by the Ministry of Education, Science, Sports and Culture, Grant-in-Aid for Scientific Research (C), 15540110, 2003 and 18540113, 2006, the 21st century COE program at Graduate School of Mathematical Sciences, the University of Tokyo, and JSPS Core-to-Core Program 18005.