商业银行非财务信用风险分析

传统的信用风险评估方法仅仅从贷款企业角度来评价商业银行所面临的信用风险,而且评价企业信用风险时,也集中在贷款企业的财务风险评价上,忽略了银行本身存、贷款结构和风险状况对信用风险的影响,造成了评估主体缺位。作为对众多文献的补充,从贷款企业非财务风险因素、银行风险因素和宏观经济环境风险因素三个方面进行了信用风险因素分析,完善了商业银行信用风险评估指标体系。     

The Establishment and Application of a Labor Quality Index: The Case of Taiwan’s Manufacturing Industry

The labor quality index (LQI) not only serves as an important reference for monitoring the progress of the sustainable development of a country, but it can also serve as an important parameter for economic analysis. To compile such an index for Taiwan, we conducted two large-scale surveys of 1000 major enterprises and 844 union leaders, respectively, to determine the appropriate weights for each key factor. We also searched for all the relevant statistics that were used to calculate the weighted sum of the 25 sub-indexes, in order to compile a LQI for Taiwan’s manufacturing industries covering the period from 1990-2000. Our calculations show that this LQI rose from 80.2 in 1990 to 117.5 in 2000, which reflected an impressive 37.3% increase in just one decade. This rate of growth has, however, been slowing down since 1997. Our results indicate that the LQI provides a valuable indicator for monitoring the enhancement of labor quality in this society.     

对“资本限量决策”方法的改进

企业面临的一类投资决策是所谓的资本限量决策,文献1给出两种解法:获利指数法和净现值法。究其实质,净现值法是一种枚举法或互斥化法,该方法可以获得最优解,但当项目个数较多时,互斥化的组合方案数很大,难以实用;计算加权获利指数工作量又很大。本文提出用差量效率指标排序法予以改进。     

深圳证券交易所不同指数收益率的波动比较

股票价格指数的波动的大小通常代表了它的风险程度,研究股指的波动对风险管理、投资组合以及价格预测有着十分重要的意义。文章采用时间序列分析方法,对深圳证券交易所的三种价格指数建立GARCH模型,并对这三种指数的波动率进行比较。     

税收征管效率综合评价指标体系研究

税收征管效率是评价税务机关工作效果的主要指标,而评价指标体系的确定是科学评价税收征管效率的基础和重点。本文分析了税收征管效率的内涵及外延,通过实证建立了税收征管效率的综合评价指标体系。     

优选方案定量评价模型研究

在确定评价指标体系的基础上，如何对若干事物或方案进行选优是一个十分有意义的问题．作者利用模糊多目标决策对此进行研究，并通过实例说明该方法的有效性与实用性．     

基于3C的TBI绩效评价指标体系初探

对TBI绩效评价的研究,应放在对作为TBI母系统的科技中介的绩效评价研究的大框架下来考虑.科技中介绩效评价研究的意义集中体现在对科技中介发展评价指标的研究方面.科技中介绩效评价指标体系的设计依据、设计原则及必含指标,同样适用于TBI的绩效评价.归纳分析我国TBI绩效评价研究的现状可知,存在着研究不深入、绩效指标体系建立不完整等问题.基于"3C"的TBI绩效评价理论体系的提出,能够使现存的问题得以有效的解决.     

广东工业技术创新能力的指标评估及提升途径

在竞争日益激烈的今天,技术创新能力在产业区域竞争中具有越来越重要的地位。文章从技术创新队伍、技术创新经费投入、技术创新成果和高新技术产业化四个方面的指标对广东工业技术创新能力进行了分析和综合评价,并提出了进一步提升广东工业技术创新能力,增强产业竞争力的途径。     

层次分析法在电信企业管理诊断中的应用

本文阐述了电信企业诊断的特点及综合评价指标体系的确立 ,给出了AHP法在电信企业管理诊断中的具体应用 ,从定量分析的角度 ,分析了电信企业在经营管理中存在的问题和不足。     

Uncertainty Analysis for Computer Model Projections of Hurricane Losses

Projecting losses associated with hurricanes is a complex and difficult undertaking that is wrought with uncertainties. Hurricane Charley, which struck southwest Florida on August 13, 2004, illustrates the uncertainty of forecasting damages from these storms. Due to shifts in the track and the rapid intensification of the storm, real-time estimates grew from 2 to 3 billion dollars in losses late on August 12 to a peak of 50 billion dollars for a brief time as the storm appeared to be headed for the Tampa Bay area. The storm hit the resort areas of Charlotte Harbor near Punta Gorda and then went on to Orlando in the central part of the state, with early poststorm estimates converging on a damage estimate in the 28 to 31 billion dollars range. Comparable damage to central Florida had not been seen since Hurricane Donna in 1960. The Florida Commission on Hurricane Loss Projection Methodology (FCHLPM) has recognized the role of computer models in projecting losses from hurricanes. The FCHLPM established a professional team to perform onsite (confidential) audits of computer models developed by several different companies in the United States that seek to have their models approved for use in insurance rate filings in Florida. The team's members represent the fields of actuarial science, computer science, meteorology, statistics, and wind and structural engineering. An important part of the auditing process requires uncertainty and sensitivity analyses to be performed with the applicant's proprietary model. To influence future such analyses, an uncertainty and sensitivity analysis has been completed for loss projections arising from use of a Holland B parameter hurricane wind field model. Uncertainty analysis quantifies the expected percentage reduction in the uncertainty of wind speed and loss that is attributable to each of the input variables.