Heston模型下保险公司和再保险公司的投资与再保险博弈

在同时考虑保险公司和再保险公司利益的前提下,研究了保险公司和再保险公司之间的投资与再保险博弈问题。假设保险公司面临的赔付过程由带漂移的布朗运动描述。保险公司可以向再保险公司购买比例再保险,两公司均可以投资于一种无风险资产和一种价格过程服从Heston模型的风险资产,并以加权终端财富的期望效用最大化为目标,利用动态规划原理建立相应的HJB方程并求解,分别得到了保险公司与再保险公司的均衡投资与再保险策略的解析表达,并利用均衡保险市场上再保险合同的供需关系分析了保险产品的定价问题。最后通过数值实例分析了各模型参数对均衡策略的影响。     

供应链中纵向信息获取和横向信息共享策略研究

研究由一个制造商和两个零售商组成的二级供应链中,零售商之间的横向信息共享策略和制造商的信息获取以及最优定价问题。在模型中,制造商同时为两家零售商提供等价商品,零售商向消费者销售商品且进行价格竞争。以Bertrand博弈为研究手段,求解了零售商的均衡销售价格、订货量决策和信息共享策略,制造商的最大利润和最优批发价格,以及供应链利润。分析比较了在制造商不同的信息获取策略下,零售商、制造商和供应链的利润。研究表明,零售商之间完全信息共享始终为占优策略。但制造商获取下游信息时会使得自身利润增加,零售商利润减少,因此零售商不会主动把信息共享给制造商。考虑到下游的边界均衡解,供应链的利润变化还与市场的不确定性和产品的替代性有关。当产品替代性较高或产品替代率较低且市场的不确定性处于中间水平时,制造商获取信息后供应链利润增加,此时制造商可以用部分增加的利润成功购买零售商信息。该模型为上游制造商提供了最优定价和信息获取策略,也为下游零售商提供了求解自身最优销售价格、订货量和信息共享决策的方法。     

资金约束供应链RFID投资决策与融资优化

本文以一个供应商和一个存在库存错放的资金约束零售商组成的两级供应链为研究对象,探讨了供应链成员采用无线射频识别（Radio Frequency Identification,RFID）技术的决策及融资选择问题。基于报童模型构建了供应链成员是否采用RFID技术、以及零售商选择贸易信贷融资或银行融资四种情景下的收益模型,求解出链上各成员的最优收益并探讨了RFID采用决策及融资选择策略。研究发现：资金约束零售商通过银行借贷融资可以获得更多的融资金额,但是其选择贸易信贷融资的意愿随着自有资金的减少而增强;当零售商自有资金适中时,随着错放率的上升或RFID成本的降低,零售商从银行融资向贸易信贷融资转变;银行融资在一定程度上能够缓解零售商的库存错放问题。     

农村公共物品供给收入效应的实证分析

我国农村公共物品的供给模式对于促进农村社会进步、增加农民人均收入发挥了积极作用。基于我国农村1983—2012年相关数据,采用多元线性回归模型、协整分析、脉冲响应、方差分解等方法实证分析了农村公共物品供给的收入效应。结果显示,农村基建、科技、教育和医疗等公共物品供给与农民纯收入之间存在着显著的正相关,即上述公共物品供给每增加1%将分别引致农民纯收入增长0.09%、0.12%、0.13%和0.62%。在长期中农村公共物品供给与农民纯收入增长之间存在唯一的均衡关系。同时,在短期中科技、教育和医疗等公共物品均能有效带动农民纯收入增长,且贡献度维持在20%左右的水平,农村基建供给的收入效应还不显著,亟待做出调整和完善。     

家族企业海归继承人创业学习过程研究——基于文化框架转换的多案例分析

继承人成长模式是目前中国家族企业理论和实践的热门议题,也是保障和提高家族企业跨代持续发展的首要问题。在家族企业传承和转型的关键时期,作为创业的主力军,家族企业海归继承人的多元文化经历和文化框架转换为其创业学习过程提供了独特资源和路径,本文基于文化心理学的动态建构主义视角,以6个家族企业的海归继承人为研究对象,采用探索性多案例研究方法,通过扎根理论的数据处理程序提炼基于文化框架转换的海归继承人创业学习关键过程要素,包括海外获取性创业学习、创业动机促发、实验性创业学习(直觉和编译创业学习)3个创业学习阶段中,文化构念网络可用性、通达性和情境适用性的构建策略及其与创业学习过程的互动协同机制,试图在家族企业传承背景下构建基于文化框架转换的家族企业海归继承人创业学习过程理论模型,从文化心理学视角解读文化框架转换对家族企业海归继承人创业学习方式、路径选择和创业能力形成的微观作用机制,为家族企业海归继承人这一独特创业群体的成长提供富有前景的答案,为家族企业传承和跨代创业提供启迪和借鉴。     

社会治理精细化的框架及其实现

社会治理精细化是一个实践命题,为一种增量治理方式,系针对以往粗放式治理的反思和矫正,它不是要实施颠覆性的改革,而是针对特定问题所展开的精准施策。从公共管理“过程论”的角度,精细化治理的框架可以围绕价值、主体和治理目标三个方面展开：以公民为价值归宿的精细化,目标是构建全民“共享”的社会治理格局;以多元主体能动性为导向的精细化,目标是激活“共建”诸主体的发展潜力;而以目标实现程度为参照的精细化,则是为社会治理提供管控的依据。     

双时滞比率依赖的HollingⅢ-Leslie型系统的Hopf分支

研究了一类双时滞比率依赖Holling-Ⅲ型功能性反应且具有Leslie形式的捕食者数量反应的种群模型,通过分析系统对应的特征方程,得到了正平衡点局部稳定性及Hopf分支存在性的充分条件,并利用MATLAB软件对实例进行数值模拟验证了主要结果。     

A Bayesian multiple structural change regression model with autocorrelated errors

This paper develops a new Bayesian approach to change-point modeling that allows the number of change-points in the observed autocorrelated times series to be unknown. The model we develop assumes that the number of change-points have a truncated Poisson distribution. A genetic algorithm is used to estimate a change-point model, which allows for structural changes with autocorrelated errors. We focus considerable attention on the construction of autocorrelated structure for each regime and for the parameters that characterize each regime. Our techniques are found to work well in the simulation with a few change-points. An empirical analysis is provided involving the annual flow of the Nile River and the monthly total energy production in South Korea to lead good estimates for structural change-points.     

Fitting Cox Models with Doubly Censored Data Using Spline‐Based Sieve Marginal Likelihood

In some applications, the failure time of interest is the time from an originating event to a failure event while both event times are interval censored. We propose fitting Cox proportional hazards models to this type of data using a spline‐based sieve maximum marginal likelihood, where the time to the originating event is integrated out in the empirical likelihood function of the failure time of interest. This greatly reduces the complexity of the objective function compared with the fully semiparametric likelihood. The dependence of the time of interest on time to the originating event is induced by including the latter as a covariate in the proportional hazards model for the failure time of interest. The use of splines results in a higher rate of convergence of the estimator of the baseline hazard function compared with the usual non‐parametric estimator. The computation of the estimator is facilitated by a multiple imputation approach. Asymptotic theory is established and a simulation study is conducted to assess its finite sample performance. It is also applied to analyzing a real data set on AIDS incubation time.     

A Framework for Monte Carlo based Multiple Testing

We are concerned with a situation in which we would like to test multiple hypotheses with tests whose p‐values cannot be computed explicitly but can be approximated using Monte Carlo simulation. This scenario occurs widely in practice. We are interested in obtaining the same rejections and non‐rejections as the ones obtained if the p‐values for all hypotheses had been available. The present article introduces a framework for this scenario by providing a generic algorithm for a general multiple testing procedure. We establish conditions that guarantee that the rejections and non‐rejections obtained through Monte Carlo simulations are identical to the ones obtained with the p‐values. Our framework is applicable to a general class of step‐up and step‐down procedures, which includes many established multiple testing corrections such as the ones of Bonferroni, Holm, Sidak, Hochberg or Benjamini–Hochberg. Moreover, we show how to use our framework to improve algorithms available in the literature in such a way as to yield theoretical guarantees on their results. These modifications can easily be implemented in practice and lead to a particular way of reporting multiple testing results as three sets together with an error bound on their correctness, demonstrated exemplarily using a real biological dataset.