A multistage linear stochastic programming model for optimal corporate debt management

Large corporations fund their capital and operational expenses by issuing bonds with a variety of indexations, denominations, maturities and amortization schedules. We propose a multistage linear stochastic programming model that optimizes bond issuance by minimizing the mean funding cost while keeping leverage under control and insolvency risk at an acceptable level. The funding requirements are determined by a fixed investment schedule with uncertain cash flows. Candidate bonds are described in a detailed and realistic manner. A specific scenario tree structure guarantees computational tractability even for long horizon problems. Based on a simplified example, we present a sensitivity analysis of the first stage solution and the stochastic efficient frontier of the mean-risk trade-off. A realistic exercise stresses the importance of controlling leverage. Based on the proposed model, a financial planning tool has been implemented and deployed for Brazilian oil company Petrobras.     

品牌资产与品牌价值关联模型的实证研究

现如今,品牌资产与品牌价值在企业经济活动中扮演的角色日益重要,二者的概念、特征以及作用机制等越来越被学者和企业界所重视,但聚焦品牌资产与品牌价值关联关系的研究仍然较为缺乏.通过对品牌资产与品牌价值的概念界定,依据品牌资产的作用机制和品牌价值的形成机理,构建了二者的关联理论模型,并通过实践调研对这一问题进行了实证研究,结果表明品牌资产通过调节效应能够驱动品牌价值的形成,最后为企业如何杠杆品牌资产实现品牌价值提出了相关管理启示.     

股票定向增发、盈余管理与公司的业绩滑坡——基于应计项目操控与真实活动操控方式下的研究

本文采用了应计项目操控与真实活动操控两种模型研究了我国上市公司定向增发新股过程中盈余管理行为以及之后的业绩表现,结果发现:中国上市公司在定向增发过程中会同时使用应计项目操控与真实活动操控两种盈余管理方式;进一步研究发现应计项目盈余管理会导致上市公司定向增发后业绩的短期滑坡,真实活动盈余管理会引起公司业绩的长期滑坡,真实活动盈余管理是上市公司定向增发之后业绩滑坡的主要原因。     

成长性差异、信息披露与权益资本成本

本文研究成长性差异是否以及如何影响信息披露与权益资本成本之间的关系。实证结果表明成长性差异可以显著调节信息披露与权益资本成本之间的关系,利用分组回归分析法发现,高成长性上市公司信息披露水平越高,权益资本成本越低。进一步研究发现,在高成长性样本组中,非国有控股上市公司信息披露对权益资本成本的影响相对显著,而在低成长性样本组中,国有控股上市公司信息披露对权益资本成本的影响相对显著。在采用工具变量法和两阶段最小二乘法等(2SLS)进行一系列稳健性检验之后,上述结论仍然成立。本文的研究结论为上市公司和监管机构完善信息披露制度提供一定的启示。     

Pedagogical alternatives for triple integrals: moving towards more inclusive and personalized learning

This paper is based on the presumption that teaching multiple ways to solve the same problem has academic and social value. In particular, we argue that such a multifaceted approach to pedagogy moves towards an environment of more inclusive and personalized learning. From a mathematics education perspective, our discussion is framed around pedagogical approaches to triple integrals seen in a standard multivariable calculus curriculum. We present some critical perspectives regarding the dominant and long-standing approach to the teaching of triple integrals currently seen in hegemonic calculus textbooks; and we illustrate the need for more diverse pedagogical methods. Finally, we take a constructive position by introducing a new and alternate pedagogical approach to solve some of the classical problems involving triple integrals from the literature through a simple application of integration by parts. This pedagogical alternative for triple integrals is designed to question the dominant one-size-fits-all approach of rearranging the order of integration and the privileging of graphical methods; and to enable a shift towards a more inclusive, enhanced and personalized learning experience.     

我国新三板企业股权质押融资的风险评价

针对我国新三板市场的发展情况及新三板企业的自身特征,选择工业、信息技术和材料三个行业,采用PFM模型和VaR模型分别对新三板企业股权质押融资的违约风险和市场风险进行了实证分析.研究结果表明,PFM模型对于新三板企业违约风险度量具有较强的适用性,用VaR度量的股权质押融资的市场风险及其质押率与市场实际操作基本一致.从行业均值来看,新三板工业行业的违约风险和市场风险均为最小,信息技术行业的两者次之,材料行业则都最大.但是,进一步研究并未发现新三板企业股权质押融资的市场风险与违约风险存在显著的相关性.因此,股权质押融资风险主要来源于市场波动,企业经营状况对其没有直接影响.研究结果为新三板企业股权质押融资的风险防范提供了理论借鉴.     

A Structural Model with Unobserved Default Boundary

In this paper we investigate a numerical algorithm for the pricing of swing options, relying on the so‐called optimal quantization method. The numerical procedure is described in detail and numerous simulations are provided to assert its efficiency. In particular, we carry out a comparison with the Longstaff–Schwartz algorithm.     

分层回归与经典回归模型比较研究:以顾客资产驱动因素与忠诚意向的关系为例

对我国六大银行688条顾客数据,分别运用两种方法(分层回归模型和经典回归模型)在两种软件(MLwiN 2.10 Beta和SPSS 15.0),进行了数学建模.结果显示,经典回归模型进行参数估计的结果不会产生严重偏差;没有足够的证据证明经典回归模型会因为低估标准误从而使得不显著的变量变得显著.结论表明收集数据时,无论采用分层抽样还是随机抽样,建模者都可以先从建立简单模型着手,获得对数据的初步认知.