开放式基金巨额赎回情况下预留现金比例的确定方法

巨额赎回是造成开放式基金流动性风险的主要原因。当发生“挤赎”现象时,就要求基金管理人要有足够的现金来满足投资者的赎回要求。本文就开放式基金的现金预留比例问题建立了模型,在赎回量服从GAMMA分布的情况下,得出不同概率条件下的最优现金预留比例,从而为基金管理人规避这种由巨额赎回引起的流动性风险提供了一种理论依据。     

封闭式债券基金风格模糊聚类分析

封闭式债券基金能够在降低风险的同时获取投资收益,并且有着较长的久期,是稳健型投资者实现配置型投资收益较常选择的一个投资品种.利用模糊聚类分析,对封闭式债券基金主要的评价参数进行量化分析,从风险控制、收益水平、选时能力等方面将市场上现有的封闭式债券基金进了投资风格上的划分,为投资者如何选择封闭式债券基金提供了一个较为直观的方法.     

基金市场监管的进化博弈分析

通过对基金市场中基金管理者和市场监管者的行为分析,引入有限理性博弈概念,建立了一个基金市场监管的动态博弈模型,并应用进化博弈方法在模型求解和参数分析的基础提出了相关政策建议:1)市场监管的比例应稍超过某个临界值则可达到最优;2)应降低基金管理者对市场监管要求的临界值;3)应关注监管者对市场中违规基金数量比例预期的临界值,并适时的调整监管力度使得基金群体中违规的比例趋向于最小.     

违约市场中的n个保险公司的最优投资和再保险问题（英文）

本文研究了n个保险公司之间的非零和随机微分投资再保险博弈问题.每个保险公司可以购买比例再保险,并将财富投资于一个由无风险资产,可违约债券和n个风险资产组成的金融市场.特别地,风险资产的价格过程服从CEV模型,可违约债券可在违约时收回一定比例的价值.每个保险公司的目标是相对于竞争对手,最大化终端财富的期望指数效用.利用随机最优控制理论,我们分别推导了均衡策略和均衡值函数的显式表达式.数值例子分析了模型参数对均衡策略的影响.此外,我们还分析了保险公司数量对均衡投资策略的影响.我们发现,随着保险公司数量的增加,每个保险公司将在风险资产和可违约债券上投入更多的资金.     

自然灾害恢复重建的联盟博弈分析

自然灾害恢复重建的关键之一,是救济基金的筹集.论文基于联盟博弈的理论分析了国家财政拨款、地方财政拨款、红十字会等社会机构募捐三条途径,对国家财政、地方财政、社会募捐机构三方, 应筹集救济基金的比例进行了论证.使全社会对恢复重建救济基金筹集的满意度最大.     

Vasicek利率模型下具有随机障碍的动态保障年金的定价

带有动态保障的投资连接基金在整个投资期间提供了一些安全保障.文章考虑了随机利率环境下,具有随机障碍水平的动态保障年金的价格.当障碍水平设为某个零息债券的函数时,可以给出具有动态保障年金的价格.     

不完全信息环境下具有随机工资和保费返还条款的DC养老金均衡策略

在不完全信息环境下,文章研究了具有随机工资和保费返还条款,且面临通胀风险的DC养老金均衡投资策略.假设养老金参与者连续不断地将其随机工资的固定比例作为保费缴纳到自己的养老金账户,基金经理将保费投资于一个无风险资产,一支股票和一支通胀指数债券以使养老金保值增值.其中股票预期收益率是随机的,并遵循均值回复过程,但基金经理无法直接观测.由于考虑了保费返还条款,则在累积期间死亡的参与者可提取按预先设定利率累积的保费.基金经理的决策目标是使每个幸存参与者养老金的终端价值期望最大化,并最小化终端价值的方差.利用滤波技术和纳什均衡框架,文章得到了DC养老金均衡策略和均衡值函数的解析式.最后,数值算例表明保费返还条款和信息损失都会使基金经理对风险投资更谨慎,但是保费返还条款对通胀指数债券均衡策略的影响更显著,而信息损失对股票均衡策略的影响更显著.     

基于比例标签学习的商业银行重要基金客户识别研究

现实中,由于隐私保护的限制,使得对重要客户的识别十分困难.具体地,很难获取商业银行重要基金客户的具体标签信息,这给建立相关的预测模型带来了极大的挑战.然而,通过特定的客户群估计重要基金客户所占比例是可行的.因此,提出了一种基于比例标签学习的商业银行重要基金客户挖掘新方法.方法的特点在于仅仅使用样本标签比例信息(label proportions information)去构建分类模型,进而有效地识别商业银行中的重要基金客户.同时,大量的实验结果表明了该方法的有效性,这对于有效解决隐私保护下的重要基金客户识别问题提供了一种新途径,具有明显的现实意义及实践价值.     

运用非均匀三次B样条拟合我国国债利率期限结构

运用非均匀三次B样条作为拟合函数,以我国上海证券交易所附息国债的日价格为数据,拟合了我国国债的利率期限结构.实证结果显示,使用"等额现金量法"来确定样条节点向量,所拟合出的我国国债利率期限结构符合经济原理,且对债券价格的估计误差较小.     

结构转换条件下债券期权定价研究

从利率动态变化、结构转换和期权定价三个方面进行分析,对结构转换下的债券和债券期权进行定价,考虑了结构转换对利率衍生物定价的影响,利用Ito引理获得债券定价的偏微分方程,并得到债券期权定价的特征函数与递归等式.结构转换下债券期权定价的灵敏度分析表明期权价值与初始状态概率、结构的持续性和结构波动率有关.     

两货栈及延期支付和现金折扣情形下变质产品的最优订货策略

已有的两货栈库存模型通常不考虑将延期支付和现金折扣相结合的情形,但实际上,供应商在给予销售商延期支付政策的同时,也会实施现金折扣策略以激励销售商尽快付款,加快资金周转,减少坏账损失。为此,本文建立了延期支付和现金折扣情形下变质产品的两货栈库存模型,并对模型的最优解进行理论分析,给出了最优解的求解步骤。最后通过数值算例对模型的可行性进行了验证,并分析了模型参数变化对最优订货策略和最优付款时间的影响。     

我国国债发行规模的计量分析

国债发行是我国政府弥补财政收支差额、缓解财政压力和实施宏观经济调控的重要工具.国债发行规模是否适度既直接影响政府宏观调控力度和效果,也关系到国民经济健康有序运行及社会安定、其研究具有重要的理论和现实意义.本文从计量经济模型和定量分析的角度,在研究影响国债规模的主要因素的基础上,通过建立有关计量经济模型,运用1981-2005年的样本数据,利用EVIEWS 4.0软件进行分析和预测.文章认为国家财政收支差额和还本付息是影响我国国债发行规模的最重要因素;长期以来,我国实行以弥补财政收支差额和国债还本付息(发新债还旧债)为主要内容的积极型国债政策,国债规模相对过大,今后应适当压缩国债发行规模,转变为稳健的国债政策,更加有效地发挥国债在促进经济社会发展中的作用.     

两货栈及延期支付和现金折扣情形下变质产品的最优订货策略

已有的两货栈库存模型通常不考虑将延期支付和现金折扣相结合的情形,但实际上,供应商在给予销售商延期支付政策的同时,也会实施现金折扣策略以激励销售商尽快付款,加快资金周转,减少坏账损失。为此,本文建立了延期支付和现金折扣情形下变质产品的两货栈库存模型,并对模型的最优解进行理论分析,给出了最优解的求解步骤。最后通过数值算例对模型的可行性进行了验证,并分析了模型参数变化对最优订货策略和最优付款时间的影响。     

A mixed integer linear programming model for optimal sovereign debt issuance

Governments borrow funds to finance the excess of cash payments or interest payments over receipts, usually by issuing fixed income debt and index-linked debt. The goal of this work is to propose a stochastic optimization-based approach to determine the composition of the portfolio issued over a series of government auctions for the fixed income debt, to minimize the cost of servicing debt while controlling risk and maintaining market liquidity. We show that this debt issuance problem can be modeled as a mixed integer linear programming problem with a receding horizon. The stochastic model for the interest rates is calibrated using a Kalman filter and the future interest rates are represented using a recombining trinomial lattice for the purpose of scenario-based optimization. The use of a latent factor interest rate model and a recombining lattice provides us with a realistic, yet very tractable scenario generator and allows us to do a multi-stage stochastic optimization involving integer variables on an ordinary desktop in a matter of seconds. This, in turn, facilitates frequent re-calibration of the interest rate model and re-optimization of the issuance throughout the budgetary year allows us to respond to the changes in the interest rate environment. We successfully demonstrate the utility of our approach by out-of-sample back-testing on the UK debt issuance data.     

Explicit formula for the optimal government debt ceiling

Motivated by the current debt crisis in the world, we develop a stochastic debt control model to study the optimal government debt ceiling, or equivalently the optimal ceiling for government debt. We consider a government that wants to control its debt by imposing an upper bound or ceiling on its debt-to-GDP ratio. We assume that debt generates a cost for the country, and this cost is an increasing and convex function of debt ratio. The government can intervene to reduce its debt ratio, but there is a cost generated by this reduction. The goal of the government is to find the optimal control that minimizes the expected total cost. We obtain an explicit solution for the government debt problem, that gives an explicit formula for optimal government debt ceiling. Moreover, we derive a rule for optimal debt policy in terms of the optimal government debt ceiling. In an extension of the model, we find that countries with a strong positive link between debt and economic growth should have a high optimal debt ceiling. This paper provides the first theoretical model for the optimal government debt ceiling.     

A Model for Advanced Reservations for Intercity Visual Conferencing Services

In this paper we describe a model for systems in which the customers usually reserve the required facilities in advance. The model has been developed for a communication network which provides visual conferencing services. We concentrate upon a network with a single pair of cities. Each customer calls the reservation office and specifies the desired day, starting time and holding time for his conference. A scheduler either satisfies the customer's request or offers him up to two alternatives which he may or may not accept. Various performance indices of the system, such as the proportion of lost customers, the proportion of rescheduled customers and the facilities' occupancy rate, are derived. Numerical examples and applications are discussed.     

Optimal dividend-distribution strategy under ambiguity aversion

This paper considers the optimal dividend policy for an insurance company facing model uncertainty. We provide an explicit solution and show that an increase in ambiguity aversion leads to more conservative dividend policy. Interestingly, we find the ambiguity averse manager exhibits risk loving attitude when the company is close to bankruptcy. Finally, concerns about model misspecification have ambiguous effects on the marginal value of cash, which depends on the cash reserve.     

Minimizing the ruin probability allowing investments in two assets: a two-dimensional problem

We consider in this paper that the reserve of an insurance company follows the classical model, in which the aggregate claim amount follows a compound Poisson process. Our goal is to minimize the ruin probability of the company assuming that the management can invest dynamically part of the reserve in an asset that has a positive fixed return. However, due to transaction costs, the sale price of the asset at the time when the company needs cash to cover claims is lower than the original price. This is a singular two-dimensional stochastic control problem which cannot be reduced to a one-dimensional problem. The associated Hamilton–Jacobi–Bellman (HJB) equation is a variational inequality involving a first order integro-differential operator and a gradient constraint. We characterize the optimal value function as the unique viscosity solution of the associated HJB equation. For exponential claim distributions, we show that the optimal value function is induced by a two-region stationary strategy (“action” and “inaction” regions) and we find an implicit formula for the free boundary between these two regions. We also study the optimal strategy for small and large initial capital and show some numerical examples.     

我国国债规模对宏观经济影响实证分析

随着以希腊债务危机为导火索的欧洲债务危机的愈演愈烈,国债对宏观经济的影响再一次成为了经济学讨论的热点.首先从直观图形着手,运用H-P滤度法去除趋势后,计算各变量的偏离趋势百分比,对比国债规模代替变量与宏观经济效应代替变量之间的偏离趋势图,从图形得到的定量关系为后面的实证分析做好准备.然后进一步进行协整分析,并在向量自回归(VAR)框架下通过脉冲响应函数考察变量之间的相互影响路径,最后通过建立误差修正模型(ECM)分析各个变量之间的长期均衡关系和短期波动特征,以量化各变量之间影响程度的大小.全面系统地研究了国债对宏观经济增长的影响程度并做出实证分析,对于深刻认识国债的本质,规避国债的风险,科学合理地制定国债政策有着重要的理论价值和实际意义.