浅谈工程项目投资的全过程控制

章简述了工程项目投资全过程控制的原理，以及各阶段对工程项目投资控制所起的作用和控制的方法。在工程建设中投资控制应注意抓住投资决策控制和设计控制，它们是工程项目投资的全过程控制的关键性环节。     

浅析房地产开发企业融资方式之变革

中央人民银行出台《关于进一步加强房地产信贷业务管理的通知》，引发了房地产开发企业融资方式的变化，房地产开发企业应对当前融资环境变化，采取切实可行的融资渠道和资金运营方法，今后将成为主流房地产项目融资方式有：房地产信托投资、房地产企业上市、房地产基金、债券融资和住宅抵押贷款证券化等。     

房地产投资分析浅析

房地产投资分析是房地产投资决策的基础，所涉及的内容较多。章通过对消费、投资地域、资金筹集和投资项目4个方面分析，详细地阐述了影响房地产投资决策的各种主要因素，提出将房地产投资风险降至最低的建议。     

小区建设项目管理规划研究

从项目管理工作的实际出发，借鉴房地产行业的项目管理成功经验，运用管理学的理论和方法。总结了某小区的项目管理及其开发工作整体运作过程。从前期选址、可行性研究到决策，以及从设计到施．工和竣工验收各个环节，全面分析小区建设项目的管理规划及控制要点。     

模糊决策在房地产建筑方案优选中应用

在房地产开发中建筑方案的决策是一项综合性、专业性、技术性极强的工作。针对以往建筑方案评价的缺陷，归纳总结了，影响方案评价的基本因素，运用模糊决策理论和结合层次分析法，探讨了方案决策的问题，并对实例进行分析。     

30万吨燃料乙醇装置仿真培训系统的开发

介绍了燃料乙醇仿真系统软、硬件的结构,着重阐明了它的设计思想和技术特色;标准、适用、灵活是该系统的最重要的特点;实现了全流程的仿真;该系统既可用于培训,还可用于运行指导.     

Moments of renewal shot-noise processes and their applications

In this paper, we study the family of renewal shot-noise processes. The Feynmann–Kac formula is obtained based on the piecewise deterministic Markov process theory and the martingale methodology. We then derive the Laplace transforms of the conditional moments and asymptotic moments of the processes. In general, by inverting the Laplace transforms, the asymptotic moments and the first conditional moments can be derived explicitly; however, other conditional moments may need to be estimated numerically. As an example, we develop a very efficient and general algorithm of Monte Carlo exact simulation for estimating the second conditional moments. The results can be then easily transformed to the counterparts of discounted aggregate claims for insurance applications, and we apply the first two conditional moments for the actuarial net premium calculation. Similarly, they can also be applied to credit risk and reliability modelling. Numerical examples with four distribution choices for interarrival times are provided to illustrate how the models can be implemented.     

保险公司市场风险经济资本度量研究

经济资本(EC)是在既定期间和置信水平下,公司根据实际承担的风险计算的用以吸收非预期损失的资本额度,目前市场风险是整体经济资本测算体系中最为突出的风险.根据当前保险运营与资产投资的比例特征,同时对资产端与负债端建立市场风险投资模型,采用嵌套随机模拟方法进行两阶段情景生成,度量未来一年内不同风险测度下的市场风险经济资本需求,并对比不同情景数量下的测算稳定性.结果证明:随着内部或外部情景模拟次数的增加,市场风险经济资本测算结果对于极端风险的预测趋于稳定,在内外部情景数量乘积相同时运算时间基本一致.当内外部两阶段情景生成参数差异较大的情形下,应适当增加情景生成数量,以确保对于极端风险预测的准确性.     

Optimal pair-trading strategy over long/short/square positions—empirical study

Suzuki [Automatica, 2016, 67, 33–45] solves the optimal, finitely iterative, three-regime switching problem for investing in a mean-reverting asset that follows an Ornstein–Uhlenbeck price process and find explicit solutions. The remarkable feature of this model is that the investor can explicitly take either a long, short or square position and can switch the position, with transaction costs, during the investment period. We run empirical simulations of such multiple-regime switching models. There are very few such attempts in the existing literature because it is difficult to find, first, an explicit solution to the problem and second, appropriate financial assets that follow the artificial stochastic process required by the mathematical model. According to the Monte Carlo simulations of the optimal pair-trading strategy, the mean daily Sharp ratio is more than 2.3, whereas the mean Sharp ratio for the historical simulation of the ‘stub’ pairs (combinations of parent/subsidiary companies) is 0.6886. We believe that the results obtained from performing the empirical simulations are remarkable and consider that the optimal switching strategy of the rigorous mathematical model is applicable to businesses in the real world. For the reference many pseudo-program codes are added, which can help to replicate the optimal trading strategies.     

Export Sophistication: A Dynamic Panel Data Approach

In this article, we analyze export sophistication based on a large panel dataset (2001–2015; 101 countries) and using various estimation algorithms. Using Monte Carlo simulations, we evaluate the bias properties of estimators and show that GMM-type estimators outperform instrumental-variable and fixed-effects estimators. Based on our analysis we document that GDP per capita and the size of the economy exhibit significant and positive effects on export sophistication; weak institutional quality exhibits negative effect. We also show that export sophistication is path-dependent and stable even during a major economic crisis, which is especially important for emerging and developing economies.