长庆油田井下作业用户满意度评价的发展研究与应用

对长庆油田采油二处井下作业系统开展用户满意度调查的历史状况进行了剖析总结,在引进评价模型的基础上,提出了适用于长庆采油二处井下作业系统的用户满意度测评体系,并进行了具体运用.     

The Underpricing and Excess Returns of Initial Public Offerings in Taiwan Based on Noisy Trading: A Stochastic Frontier Model

Initial public offerings (IPOs) are typically offered at prices lower than the transaction price in the early aftermarket. With a stochastic frontier model, we measured the fair offer price of an IPO and then the deliberate IPO underpricing and the market misvaluation based on the estimated fair offer price. Our results show that IPOs are deliberately underpriced. The extent of noisy trading leading to significantly higher market transaction prices explains the excess IPO returns. We conclude that initial IPO returns result primarily from the noisy trading activities instead of the deliberate IPO underpricing.     

Portfolio Optimization under Lower Partial Risk Measures

Portfolio management using lower partial risk (downside risk) measures is attracting more attention of practitioners in recent years. The purpose of this paper is to review important characteristics of these riskmeasures and conduct simulation using four alternative measures, lower semi-variance, lower semi-absolute deviation, first order below targetrisk and conditional value-at-risk.We will show that these risk measures are useful to control downside risk whenthe distribution of assets is non-symmetric. Further, we will propose a computational scheme to resolve the difficultyassociated with solving a large dense linear programming problems resulting from these models. We will demonstrate that this method can in fact solve problems consisting of10⁴ assets and 10⁵ scenarios within a practical amount of CPU time.     

Implied Volatility of Interest Rate Options: An Empirical Investigation of the Market Model

We analyze the empirical properties of the volatilityimplied in options on the 13-week US Treasury bill rate. These options havenot been studied previously. It is shown that a European style put optionon the interest rate is equivalent to a call option on a zero-coupon bond.We apply the LIBOR market model and conduct a battery of validity tests tocompare three different volatility specifications: contact, affine, and exponentialvolatility. It appears that the additional parameter in the affine and theexponential volatility function is not justified. Overall, the LIBOR marketmodel fares well in describing these options.     

论资本市场中的信息披露问题

本文分析论述了资本市场信息披露的含义、意义 ,分析了会计模式、审计模式以及监管当中目前存在的问题 ,并给出了一些解决问题的对策     

国有商业银行改革所面临的困难及改进措施

随着加入WTO后金融领域的逐步开放和外资银行的大批涌入 ,国有商业银行的改革和创新日益紧迫 ,而影响国有商业银行发展和竞争力的根本因素依然存在 ,如资本严重不足、治理结构及经营机制不完善、经营环境不健全等。要解决这些问题 ,不仅需要商业银行本身加大改革力度 ,大胆进行制度创新 ,建立法人治理结构 ,还需要国家有关部门在宏观调控和具体政策上为国有商业银行营造有力的政策和市场环境。     

基于权衡模型的跨国公司资本结构的决定因素分析

跨国公司资本结构问题是国际金融微观领域的研究热点 ,但目前国内研究对此鲜有涉及。本文着重研究了跨国公司资本结构决定的问题 ,在概述了权衡理论的基本思想并考虑了跨国公司经营环境与国内企业的差异后 ,提出基于权衡模型的跨国公司资本结构决定机制的分析框架 ,进而深入研究了跨国公司资本结构的决定因素 :负债节税价值、破产成本和代理成本。     

基于因特网的工程项目环境信息库研究

在工程项目建设过程中，项目经理（业主方）需要查阅和使用项目所处的环境信息。本的目的是探讨利用当代信息技术如何建立一个信息库，为项目经理及时提供全面和准确的环境信息，通过访问专业人士，查阅献，分析典型工程实例，并结合作的工程实践经验，从系统的角度定义了工程项目经理所需用的环境信息，确定了它的分类，建立了它的概念模型，并且详细地介绍了该信息库的技术实现途径。     

成品油终端市场顾客需求模型的构建

在越来越激烈的成品油终端市场竞争中，只有及时了解并满足顾客需求，成品油销售企业才能获得生存与发展。从成品油最终顾客出发，分析顾客需求之相关因素及重要性程度，综合运用层次分析法和矩阵分析法，建立成品油终端市场顾客需求模型，从而为成品油销售企业认识和满足顾客需求提供了客观科学的依据。     

The Global Determinants of Direct Office Real Estate Returns

We investigate the determinants of direct office real estate returns by analyzing rents, capital appraisals, and total returns. A recently compiled global database of major cities in Asia, Europe, and the United States provides a unique opportunity to give a macro-view on the effects of economic growth and supply and demand factors on nominal real estate returns. The global database provides quarterly observations from 1986 to 1999. To address the smoothness problem of appraisal-based price data and regulated rents, we employ the Generalized Method of Moments to estimate a dynamic panel-data model. The model allows us to combine the cross-sectional and time-series dimension in our quarterly data. We find that gross domestic product, inflation, unemployment, vacancy rate, and the available stock all have an effect on real estate returns.