马氏调制强度的传染模型下CDS的CVA计算

本文考虑了具有马氏调制强度的传染模型下,信用违约互换(CDS)的双边信用估值调整(CVA).在我们考虑的模型中,利率、回收率以及CDS的买方、卖方和参照实体三方的违约强度均受宏观经济环境的影响,该经济状况由一连续时间状态的齐次马氏链所刻画.利用测度变换和累积强度的Laplace变换,我们给出了CDS合同的双边CVA的表达公式,该公式可以表示为线性常微分方程组的基本解的形式.利用所得到的公式,我们数值分析了马氏调制和违约相关性对双边CVA的影响.     

考虑个体保护意识的关联信用风险传染机理研究

针对关联信用风险及其传染这一热点和难点问题,本文基于复杂网络异质平均场理论,运用风险传播动力学SIR经典模型,探讨风险信息促成的个体保护意识对关联信用风险传染的影响机理,并在BA无标度网络中进行数值仿真分析。研究结果表明:被感染个体数量、个体反应强度、有保护意识的易感个体比例与关联信用风险传染阈值正相关;考虑个体保护意识、增强易感个体反应强度以及提高有保护意识的易感个体比例能够有效抑制关联信用风险的传染速度和传染规模,并且能够延缓关联信用风险高峰期的到来。     

信用风险下的变化类型权证期权定价

主要利用公司价值模型将信用风险引入到变化类型权证期权定价中,通过鞅和概率的方法,推导出信用风险下的变化类型权证期权的定价公式,给出了更切合实际的期权定价.     

Credit scoring for profitability objectives

In consumer credit markets lending decisions are usually represented as a set of classification problems. The objective is to predict the likelihood of customers ending up in one of a finite number of states, such as good/bad payer, responder/non-responder and transactor/non-transactor. Decision rules are then applied on the basis of the resulting model estimates. However, this represents a misspecification of the true objectives of commercial lenders, which are better described in terms of continuous financial measures such as bad debt, revenue and profit contribution. In this paper, an empirical study is undertaken to compare predictive models of continuous financial behaviour with binary models of customer default. The results show models of continuous financial behaviour to outperform classification approaches. They also demonstrate that scoring functions developed to specifically optimize profit contribution, using genetic algorithms, outperform scoring functions derived from optimizing more general functions such as sum of squared error.     

威客电子商务作弊评价模型及算法研究

威客模式是一种新型电子商务模式,有助于知识、智慧、经验、技能体现经济价值,是电子商务应用领域的一个热点.在介绍威客电子商务模式的基础上,重点研究了影响威客电子商务发展的作弊问题,建立了作弊评价模型.利用威客的历史信息和对设计方案相似性的评价,设计了一种基于定量和定性指标的作弊可能性计算算法.根据威客电子商务的特点,探讨了基于任务金额、结合作弊评价结果的威客信用评价体系.以猪八戒威客网站两个作弊争议案例为例进行了实证分析,说明了作弊评价算法的有效性.     

模糊影响图评价算法在供应链金融信用风险评估中的应用

传统的银行信贷模式风险评价专注于个体企业的财务数据.供应链金融新融资模式下的信用风险评价不同于传统的融资模式风险评价,它的评价范围更宽,不确定性因素更加复杂.在分析供应链金融模式的信用风险评价体系的基础上,结合模糊集和影响图理论建立了模糊影响图评价模型,对评估中难以量化的问题进行模糊处理,对变量之间的模糊影响关系进行分析,最后计算出信用风险概率分布.方法定性与定量相结合,为供应链金融新模式下的风险评估提供了一种新思路.     

Estimation and status prediction in a discrete mover‐stayer model with covariate effects on stayer's probability

A discrete‐time mover‐stayer (MS) model is an extension of a discrete‐time Markov chain, which assumes a simple form of population heterogeneity. The individuals in the population are either stayers, who never leave their initial states or movers who move according to a Markov chain. We, in turn, propose an extension of the MS model by specifying the stayer's probability as a logistic function of an individual's covariates. Such extension has been recently discussed for a continuous time MS but has not been considered before for a discrete time one. This extension allows for an in‐sample classification of subjects who never left their initial states into stayers or movers. The parameters of an extended MS model are estimated using the expectation‐maximization algorithm. A novel bootstrap procedure is proposed for out of sample validation of the in‐sample classification. The bootstrap procedure is also applied to validate the in‐sample classification with respect to a more general dichotomy than the MS one. The developed methods are illustrated with the data set on installment loans. But they can be applied more broadly in credit risk area, where prediction of creditworthiness of a loan borrower or lessee is of major interest.     

商业信用额度下易腐品最优订货策略

运作实践中,供应商不仅会给予零售商延期付款待遇以刺激其订购量,同时也会为信用期内零售商的应付账款设置上限值(即商业信用额度),从而规避零售商的应付账款对其造成的资金机会成本和违约风险。鉴于此,本文基于商业信用额度构建了零售商关于易腐品的订购决策模型。通过分析零售商资金机会成本的不同形式,可以得到零售商关于易腐品五种不同的成本函数表达式。结合数学证明可以得到零售商五种目标函数的性质,以及在商业信用额度条款下零售商最优的订购决策。算例表明供应商可以通过设置一个合理的商业信用额度条款将零售商的订购量和信用期内的应付账款控制在一个合适范围。同时商业信用额度条款有助于缓解供应商的营运资金压力,但会在一定程度上增加零售商的运营成本。     

基于信用额度和外生违约概率的出口海陆仓融资质押率优化

质押率优化是出口海陆仓融资决策的核心内容。针对出口商信用、出口商与进口商外生违约以及质押物价值波动三重叠加风险下的出口海陆仓融资决策问题,在设定出口商信用额度,且给定出口商和进口商外生违约概率的前提下,依据双重Stackelberg博弈原理,以供应链协同均衡下的出口商、进口商和船公司的期望利润最大化为目标,建立了质押率与订货量及货物价格联动优化模型,设计了微分法和逆向归纳法求解模型。算例验证了模型和方法的适用性和有效性。敏感性分析结果表明质押率与出口商信用额度呈负相关关系,对出口商和进口商外生违约概率不敏感。研究结论可为出口海陆仓融资优化决策提供科学参考。     

考虑风险规避的供应链融资与信用保险组合模型研究

针对供应链的资金约束问题,考虑了由一个资金约束的零售商、资金充足的供应商、风险规避型银行以及保险公司组成的供应链融资系统,分别构建了风险规避型银行融资模型以及银行融资与信用保险的组合模型,给出了两种模型中供应链融资系统成员的最优决策。研究表明:与传统风险规避型的银行融资模型相比,银行融资与信用保险的组合模型能够有效地增加零售商的融资规模,并降低银行的损失风险,从而信用保险能够给整个供应链融资系统带来严格帕累托改进。最后,通过数值算例说明了研究结论的有效性。