基于马尔柯夫分析的计算机预测和决策应用

从DSS应用现状出发,介绍了马尔柯夫分析的定义和数学原理,阐述了马尔柯夫分析的过程和预测的基本步骤,利用Excel设计了进行市场占有率预测的应用模型,并进行了仿真预测和决策分析。测试表明,应用模型简便通用,操作方便,提高了预测的计算精度和效率。     

Asymptotic results for the risk process based on marked point processes

Abstract

In this paper asymptotic properties for the risk process will be studied when the number of risk units tends to infinity. The paper extends asymptotic properties for the classical risk process to more general processes. In the classical risk process the claim amounts are assumed independent and identically distributed, and the claim number process is a homogeneous Poisson process.

The key tool is point process theory with associated martingale theory. The results are illustrated by examples.     

ISO 14001 and the Reduction of Toxic Emissions

ISO 14001 is an international standard for Environmental Management Systems, adopted by over 36,000 organizations worldwide. This paper attempts to determine the length of time after which a given company has implemented ISO 14001 experiences emission reduction. The sample used is a group of 264 manufacturing facilities in the USA, which represent 23 percent of all the ISO 14001 certified organizations in the US, analyzed throughout the period from 1996 to 2001. The results show that 75 percent of the companies experienced a reduction in their emissions, among which 53 percent had already done so just one year after obtaining ISO 14001.     

The Valuation of Insurance under Uncertainty: Does Information about Probability Matter?

In a laboratory experiment we test the hypothesis that consumers' valuation of insurance is sensitive to the amount of information available on the probability of a potential loss. In order to test this hypothesis we simulate a market in which we elicit individuals' willingness to pay to insure against a loss characterised either by known or else vague probabilities. We use two distinct treatments by providing subjects with different information over the vague probabilities of loss. In general we find that uncertainty about probabilities has a weak impact on consumers' valuation of insurance. However, additional information about probabilities tends to marginally increase the price individuals are willing to pay to insure themselves. Implications for the insurance market are derived.     

Swinburne's Challenge: A Note on Probability Estimates for Nontypical Potential Evidence Instances

General confirmation theory, and especially its Bayesian variant, has never been able to adequately address the issue of how to handle qualitative evidence instances. Such statements encompass a wide class including historical claims, those of the human sciences not incorporating quantitative models, legal statements and the like. The issue was recognized by the philosopher Swinburne (1973) who puzzled how such statements as, Caesar crossed the Rubicon, could be assigned a meaningful probability estimate. The present paper suggests that such statements can be transformed into, at least, plausible probability estimates. This requires a two step process: judgements made by credible raters, and the transformation of judgements into one or more reliability co-efficients. These reliability estimates can then be utilized in the standard Bayesian model to yield plausible degrees of belief between hypothesis and evidence.     

Mixture representations for discrete Linnik laws

In this paper we give mixture representations for the discrete Mittag–Leffler and Linnik laws. Our results form the discrete analogues of the mixture representations for the generalized symmetric Linnik distribution obtained by P AKES (1998). As an application, we derive the infinite divisibility of mixtures of Mittag–Leffler distributions. Alternative mixture representations in terms of discrete stable distributions are also presented.     

中国银行业经济资本管理的实施路径——从巴塞尔新资本协议获得的启示

经济资本是加强商业银行内部资本管理和风险管理的重要手段.借助经济资本和其他基于风险的管理工具,金融机构可以对其面临的风险进行量化,计算应对这些风险所需的资本及得出根据实际风险进行调整后的收益.对大多数国内银行而言,经济资本的应用已经落后于其他先进国家,本文试图从新资本协议IRB方法的基本思路入手,提出国内银行业在现有条件下提升经济资本计量水平的解决方案.并提出在目前条件下,为实现有效资本管理的最终目标,要尽快开发关键风险参数的量化模型,加强资本管理IT系统建设以及建立资本计划的制定和实施程序.     

供应链风险评估:一个贝叶斯——量子决策的推理网络研究范式

为了分析供应链运作过程中存在风险的性质,采用贝叶斯网的方式,构建了供应链风险因素、风险事件之间的系统模型,并在量子概率的基础上,分析各种风险发生的规律,并分析了供应链风险事件之间存在的共同发生的可能性。结论认为:供应链风险是一个具有多源、多维、交叉等多种属性的复杂系统,其中,道德风险与牛鞭效应最容易发生,双重边际效应、资金链断裂以及牛鞭效应的影响最大;若干种风险之间按照一个较高的概率发生着共振现象。     

A Note on the Probability of Having a Strong Condorcet Winner

In an election, a strong Condorcet winner is a candidate who is top-ranked by more than 50% of the voters. The purpose of this note is to provide some algebraic representations for the probability of having a strong Condorcet winner in three-candidate elections. Three alternative procedures for generating voting situations are considered: the Impartial Culture condition, the Impartial Anonymous Culture condition and the Maximal Culture condition. It turns out that the conclusions we obtain strongly depend on the way for generating voting situations.