经理股票期权激励计划——上市银行的适应性与政策建议

目前,我国有九家银行已经在香港和国内上市交易,为了提高银行经营绩效,降低代理成本,有些银行正着手制定股票期权激励计划。然而,银行实施经理股票期权激励需要考虑多方面有效性假定条件。分析中国银行业改革与发展状况,九家上市银行经营业绩,以及经理权力制约的现状,可探讨经理股权激励计划在中国银行业发展路径。     

可转换公司债券复合期权定价方法

基于多期复合期权理论,建立了可转换公司债券定价的控制方程,依据可转债的特征提出了相应的边界条件和终端条件,并采用有限差分方法进行了数值模拟,从而克服了复合期权模型中求解高维嵌套积分的困难,显著地提高了计算效率。实例计算表明,采用普通债券与欧式期权价值相加的定价方法大大低估了可转换公司债券的内在价值,复合期权定价方法为可转换公司债券的设计与定价提供了一种新的思路。     

Fundamentals of the analytic network process — Dependence and feedback in decision-making with a single network

The Analytic Network Process (ANP) is a multicriteria theory of measurement used to derive relative priority scales of absolute numbers from individual judgments (or from actual measurements normalized to a relative form) that also belong to a fundamental scale of absolute numbers. These judgments represent the relative influence, of one of two elements over the other in a pairwise comparison process on a third element in the system, with respect to an underlying control criterion. Through its supermatrix, whose entries are themselves matrices of column priorities, the ANP synthesizes the outcome of dependence and feedback within and between clusters of elements. The Analytic Hierarchy Process (AHP) with its independence assumptions on upper levels from lower levels and the independence of the elements in a level is a special case of the ANP. The ANP is an essential tool for articulating our understanding of a decision problem. One had to overcome the limitation of linear hierarchic structures and their mathematical consequences. This part on the ANP summarizes and illustrates the basic concepts of the ANP and shows how informed intuitive judgments can lead to real life answers that are matched by actual measurements in the real world (for example, relative dollar values) as illustrated in market share examples that rely on judgments and not on numerical data. Thomas L. Saaty holds the Chair of University Professor, Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, PA, and obtained his Ph.D. in mathematics from Yale University. Before that he was a professor at the Wharton School of the University of Pennsylvania for ten years. Prior to that he spent seven years at the Arms Control and Disarmament Agency in the State Department in Washington, DC, that carried out the arms reduction negotiations with the Soviets in Geneva. His current research interests include decision-making, planning, conflict resolution and synthesis in the brain. As a result of his search for an effective means to deal with weapons tradeoffs at the Disarmament Agency and, more generally, with decision-making and resource allocation, Professor Saaty developed The Analytic Hierarchy Process (AHP) and its generalization to dependence and feedback, the Analytic Network Process (ANP). He is co-developer of the software Expert Choice and of the software Super Decisions for decisions with dependence and feedback. He has authored or co-authored twelve books on the AHP/ANP. Professor Saaty has also written a number of other books that embrace a variety of topics, including Modern Nonlinear Equations, Nonlinear Mathematics, Graph Theory, The Four Color Problem, Behavioral Mathematics, Queuing Theory, Optimization in Integers, Embracing the Future and The Brain: Unraveling the Mystery of How It Works. His most recent book is Creative Thinking, Problem Solving & Decision Making. The book is a rich collection of ideas, incorporating research by a growing body of researchers and practitioners, profiles of creative people, projects and products, theory, philosophy, physics and metaphysics...all explained with a liberal dose of humor. He has published more than 300 refereed articles in a wide variety of professional journals. He has been on the editorial boards of Mathematical Reviews, Operations Research, Naval Research Logistics Quarterly, Mathematical and Computer Modeling, Socio-Economic Planning Sciences, Applied Mathematics Letters, and several others. He also served as consultant to many corporations and governments.     

信用担保的两阶段定价模型

随着金融市场的日渐完善,信用担保的使用日趋频繁。目前对担保的定价是在单阶段清偿的前提下,采用经验定价和单阶段期权定价两种方法。注意到在担保中存在很多展期的情况。据此,提出了两阶段担保模型,并给出其理论定价及计算实例。     

再装股票期权执行价格最低水平的决定

执行价格是股票期权的一个重要变量。通过研究认为再装股票期权以再装日股票价格作为新的执行价格不一定是一种好的方案,提出了计算再装股票期权执行价格最低水平的试探性方法,并进行了实例验证。     

关于信息技术创新项目的决策分析

在信息技术创新项目生命周期的各个阶段上，包含有多种形式的实物期权。从不同形式实物期权的角度，探讨信息技术创新项目决策分析的内容和目标及其过程和准则。对于促进信息技术的发展具有突出的理论意义和实际价值。     

跨国公司经营者股票期权激励制度分析

通过对股票期权激励制度及其理论基础的阐述,分析了跨国公司实施股票期权激励制度的必要性以及需要注意的问题。     

基于ElGamal体制的可验证的门限秘密共享方案

本文将E1Gamal体制与Shamir秘密分享方案相结合提出了一种可验证的门限秘密共享方案，其安全性是基于ElGamal体制中在有限域求解离散对数问题的难解性．在该方案中提出了如何防止恶意参与者进行恶意攻击以及如何检验合法参与者是否提供了假的秘密份额，同时也给出了检验由假冒Dealer的参与者以及检验Dealer是否分发了非法的秘密份额的一些有效措施。     

中国上市公司现金股利决策模型

该文从是否现金分红和现金股利支付水平2个维度,建立公司现金股利决策模型,分析确定影响中国沪深两市A股上市公司现金股利政策的因素。2001-03中国证监会再融资政策的调整,显著提高了上市公司现金分红的意愿,现金股利已成为中国上市公司利润分配的主要形式。公司留存收益的比例越高,则现金分红的可能性越大,支持了股利的生命周期理论。而从现金分红公司的股利支付水平来看,盈利水平越高,成长性越好的公司,现金股利的支付率却越低,其原因在于中国部分优质上市公司为达到再融资的监管要求而勉强分红,从而导致了中国A股市场现金股利总额占净利润总额的比例偏低。     

分数次Black－Scholes模型下美式期权定价的近似解析式

在分数次Black-Scholes模型下,应用二次近似法推导连续支付红利的美式期权定价的近似公式,并根据公式分析红利对美式期权提前实施的影响.