最优投资组合和风险补偿

本文在M arkow itz均值-方差模型的基础上,引入风险补偿函数,研究了在投资组合中协方差、半协方差、负指数等目标函数之间的关系。     

国有企业再生产-资本运营投资多阶段决策模型

在市场经济环境下,国有企业通过扩大再生产和资本运营的投资行为追求利润最大化,本文研究其同时对再生与资本运营的投资决策问题,建立以获得经济利润最大化为目的的再生产资本运营投资多阶段决策模型,并讨论该模型的经济意义,通过模拟数据进行实证分析     

投资控制模型解的渐近性质

本文利用初值比较法和边值比较法，讨论了投资系统解的渐适性质，得到了投资控制模型的平衡解是全局渐近稳定的．     

第一类椭圆型方程组的Neumann边值问题

本文我们运用函数理论方法，讨论了具有光滑边界的有界区域的第一类椭圆型方程组的Neumann边值问题，这些结果不仅推广了文献Hua,Lin,Wu[1]的结果，而且有很好的理论和现实意义。     

FDI与中国对外贸易的向量误差修正模型

本文以中国的经济数据对外国直接投资(FDI)与对外贸易的联系做了实证检验,根据协整理论建立向量误差修正模型对此问题予以分析,得出结论是在长期和短期内进入中国的外国直接投资与中国的出口都是互补联系,同时在短期外国直接投资与中国的进口也是互补,而在长期外国直接投资与中国的进口却是替代联系。     

面板数据的单位根检验和协整检验——实证分析西部省市固定投资与工业增加值之间的关系

本文介绍了面板数据的单位根检验和协整检验,实证分析西部九省市固定投资和工业增加值的关系,Engle-G ranger检验拒绝部分省市具有均衡增长关系,面板协整检验接受西部地区具有均衡增长关系。     

Theoretical and empirical estimates of mean–variance portfolio sensitivity

This paper studies properties of an estimator of mean–variance portfolio weights in a market model with multiple risky assets and a riskless asset. Theoretical formulas for the mean square error are derived in the case when asset excess returns are multivariate normally distributed and serially independent. The sensitivity of the portfolio estimator to errors arising from the estimation of the covariance matrix and the mean vector is quantified. It turns out that the relative contribution of the covariance matrix error depends mainly on the Sharpe ratio of the market portfolio and the sampling frequency of historical data. Theoretical studies are complemented by an investigation of the distribution of portfolio estimator for empirical datasets. An appropriately crafted bootstrapping method is employed to compute the empirical mean square error. Empirical and theoretical estimates are in good agreement, with the empirical values being, in general, higher.     

Optimal exercise of jointly held real options: A Nash bargaining approach with value diversion

This paper provides a two-stage decision framework in which two or more parties exercise a jointly held real option. We show that a single party’s timing decision is always socially efficient if it precedes bargaining on the terms of sharing. However, if the sharing rule is agreed before the exercise timing decision is made, then socially optimal timing is attained only if there is a cash payment element in the division of surplus. If the party that chooses the exercise timing can divert value from the project, then the first-best outcome may not be possible at all and the second-best outcome may be implemented using a contract that is generally not optimal in the former cases. Our framework contributes to the understanding of a range of empirical regularities in corporate and entrepreneurial finance.     

A real options approach to labour shifts planning under different service level targets

Firms that experience uncertainty in demand as well as challenging service levels face, among other things, the problem of managing employee shift numbers. Decisions regarding shift numbers often involve significant expansions or reductions in capacity, in response to changes in demand. In this paper, we quantify the impact of treating shifts in workforce expansion as investments, while considering required service level improvements. The decision to increase shifts, whether by employing temporary workers or hiring permanent employees, is one that involves significant risks. Traditional theories typically consider reversible investments, and thus do not capture the idiosyncrasies involved in shift management, in which costs are not fully reversible. In our study, by using real options theory, we quantify managers’ ability to consider this irreversibility, aiming to enable them to make shift decisions under conditions of uncertainty with the maximum level of flexibility. Our model aims to help managers make more accurate decisions with regard to shift expansion under service level targets, and to defer commitment until future uncertainties can be at least partially resolved. Overall, our investigation contributes to studies on the time required to introduce labour shift changes, while keeping the value of service level improvements in mind.     

Optimal investment and risk control policies for an insurer in an incomplete market

In this paper, we apply the martingale approach to investigate the optimal investment and risk control problem for an insurer in an incomplete market. The claim risk of per policy is characterized by a compound Poisson process with drift, and the insurer can be invested in multiple risky assets whose price processes are described by the geometric Brownian motions model. By ‘complete’ the incomplete market, closed-form solutions to the problems of mean–variance criterion and expected exponential utility maximization are obtained. Moreover, numerical simulations are presented to illustrate the results with the basic parameters.