中国股票市场发展与经济增长关系的实证分析

以金融发展理论为基础,从理论上论述了股票市场发展与经济增长的关系;并将此理论应用于中国股票市场,对中国股票市场发展与中国经济增长的关系进行了实证检验。结果表明,我国股票市场发展与经济增长不存在显著的相关性。     

大规模定制下基于交互式遗传算法的谈判模型研究

越来越多的企业已经认识到大规模定制是一种竞争策略,可以给企业带来竞争优势。随着大规模定制程度的提高,企业间对信息交互的及时性、有效性的要求也越来越高,企业迫切需要一种快速高效的谈判解决方案来适应大规模定制的需要。运用交互式遗传算法理论来建立谈判模型,以适应大规模定制的需要。     

Contemporary Extensions of the Rasch Model

This paper will introduce, discuss and illustrate two contemporary extensions of theRasch model: the one parameter logistic model (Verhelst and Glas, 1995) and theMultidimensional Rasch model (Hoijtink et al., 1999). Using data with respect tothe measurement of schizotypy (Vollema and Hoijtink, 2000) the most importantfeatures of both models will be illustrated. For the one parameter logistic modelthese include: a (discrete) discrimination parameter for each item; a test for itembias; and, estimation of the location of a person on the (latent) trait that is beingmeasured. For the multidimensional Rasch model these include: specification ofthe model; and, model selection. All analyses presented in this paper can be executedusing either OPLM (Verhelst et al., 1995), TESTFACT (Wilson et al.,1984) or ConQuest (Wu et al., 1998). At the end of the paper some features ofmodels and software that have not been discussed will be summarized.     

Optimal model averaging forecasting in high-dimensional survival analysis

This article considers ultrahigh-dimensional forecasting problems with survival response variables. We propose a two-step model averaging procedure for improving the forecasting accuracy of the true conditional mean of a survival response variable. The first step is to construct a class of candidate models, each with low-dimensional covariates. For this, a feature screening procedure is developed to separate the active and inactive predictors through a marginal Buckley–James index, and to group covariates with a similar index size together to form regression models with survival response variables. The proposed screening method can select active predictors under covariate-dependent censoring, and enjoys sure screening consistency under mild regularity conditions. The second step is to find the optimal model weights for averaging by adapting a delete-one cross-validation criterion, without the standard constraint that the weights sum to one. The theoretical results show that the delete-one cross-validation criterion achieves the lowest possible forecasting loss asymptotically. Numerical studies demonstrate the superior performance of the proposed variable screening and model averaging procedures over existing methods.     

Proposal for calculating regulatory capital requirements for reverse mortgages

In the current context in which many people worry about the sustainability of pension systems, reverse mortgages are gaining popularity because they are a way to supplement elderly people's incomes. However, it is necessary to provide banks with an adequate risk measurement and management procedure for reverse mortgages to increase the commercialization of these products, which will result in greater well-being for the retirement age population. In this paper, we propose a method to measure risk and estimate the regulatory capital requirements for a portfolio of reverse mortgages owned by a financial institution according to Basel II and III. The method considers house price risk, mortality risk and interest rate risk; consequently, regulatory capital requirements need to be computed using a Monte Carlo simulation procedure. The proposed method is general and can accommodate several scenarios for reverse mortgage specifications, including fixed or variable mortgage rates and different income stream schemes (with the lump sum as a particular case). The results for the U.K. show that reverse mortgage providers face higher risk when the lender initially advances a higher amount, with the lump-sum case indicating the highest risk, for relatively younger borrowers, the female population, higher interest rates and floating mortgage rates.     

“中美国”的终结

在过去十年中,世界经济表现较好的原因是,形成了由中国出口导向型发展和美国过度消费相结合的经济模式。2007～2009年的金融危机可能标志着"中美国"时代的终结。本文将从经济史学者的视角研究这一时期的种种事态发展及其产生的深远影响。中国经济模式在1998～2007将近10年间,某些方面类似于西德和日本第二次世界大战之后的经济模式,即对美的贸易顺差在推动经济增长中发挥了主要作用。然而值得注意的是,中国与这两个国家的经济模式存在着两个关键性差异。首先,中国干预货币的规模是前所未有的,而这对世界经济造成的扭曲也是如此;其次,中国迄今为止仍抵制类似西德和日本升值货币的做法。从中可以推断出,当前的"中美国"形式不可能长久。在20世纪70年代,世界经济的重新平衡有赖于汇率的大幅度调整。但是,中国政府目前采取的汇率调整却无法平衡当前世界经济。     

城乡人力资本投资行为关系研究——基于城镇示范性效应的分析视角

本文通过构建带有城镇示范性效应的农村人力资本投资理论模型,考察城镇人力资本投资对农村人力资本投资行为示范性影响效应。首先对模型中反映示范性效应的变量进行了ADF平稳性检验,初步判断出农村人力资本投资行为中城镇示范性效应影响的存在性。在此基础上构建基于OLS的误差修正模型分析检验城镇对农村人力资本投资的示范带动性效应及其程度。     

中国的劳动收入份额为什么趋于下降?——基于二元经济模型的观察与解释

新古典经济学的要素分配理论以劳动力是稀缺资源作为其前提假设,与我国二元经济条件下的现实情况存在较大差距,因而在分析我国劳动收入份额下降时解释力不足。文章修正了新古典经济学的劳动力稀缺要素假定,基于劳动力无限供给假定的二元经济模型和中国数据表现出的异质性特征,建立了一个分析二元经济中劳动收入份额影响因素的理论框架,并运用该理论框架解释了中国劳动收入份额趋降的原因,提出促进劳动密集型技术进步、提高人力资本禀赋、审慎干预劳动市场等方面的政策建议。     

我国经济结构调整对国际收支差额的影响——基于消费、投资与外贸结构的分析

笔者利用SVAR与VEC模型研究发现,通过投资、消费、外贸结构调整对我国国际收支进行调节,在短期与长期存在差异性。短期结构调整的重点应放在提高城镇居民消费占比,适当扩大政府消费占比,有效抑制进出口增长速度等方面;长期调整的重点应集中于有效提高城镇与农村居民的消费占比上。由于我国消费和外贸结构调整对国际收支调节的作用突出,因此,需要通过显著提高居民收入水平,不断增强国内消费需求来改变消费、投资和外贸结构,以促进我国国际收支基本平衡的实现。     

能源要素价格改革对宏观经济影响的CGE分析

当前国内要素价格改革呼声很高,其中能源价格改革更为迫切。本文利用MCHUGE模型,研究提高能源价格对中国经济发展的影响。研究表明,提高能源价格在短期和长期均能显著降低中国能源强度,其原因在于能源价格的提高优化了中国经济产业结构,第二产业尤其是重工业在国内生产总值中所占比重下降,减少了总体的能源消费。但是能源价格提高对宏观经济带来了较大的负面影响,其导致的出口下降和投资需求下降分别是短期和长期国内生产总值下降的主要原因。