Some Cracks in the Empire of Chance (Flaws in the Foundations of Reliability)

Making quantified statements about the uncertainty associated with the lifelength of an item is one of the most fundamental tasks of reliability assessment. Most practitioners routinely do this using one of the several available statistical techniques. The purpose of this paper is two-fold. The first is to give the user an overview of the key tenets of two of the most commonly used parametric approaches. The second is to point out that these commonly used approaches involve strategies that are either ad hoc, or are in violation of some of the underlying tenets. A method that is devoid of logical flaws can be proposed, but this method is difficult to implement. The user must therefore resign to using that technique against which the fewest objections can be hurled.     

国际战略联合的成功之路

世界经济中的种种迹象表明,国际战略联合这一国际化经营的新方式正日益显示出其重要性,并终将成为拓展国际化经营活动的主要方式。作为国际化经营活动主角的跨国公司。     

公开市场操作与利率期限结构行为——基于混频数据信息的研究视角

在混频数据信息环境中,精准识别公开市场操作(央行政策利率)和国债收益率曲线(基准利率体系)之间的关联机制至关重要,其影响了货币政策期限结构传导的有效性。本文在混频Nelson-Siegel(N-S)利率期限结构模型框架下,引入央行政策利率,揭示公开市场操作与利率期限结构(水平、斜率、曲度)因子之间的作用机制。实证结果表明:混频数据信息条件下,引入的公开市场操作信息显著改进国债收益率曲线的拟合效果;斜率因子冲击对公开市场操作具有显著的正向影响,而利率期限结构因子对政策调控的反应不敏感。进一步研究表明,2015年以来,公开市场操作对斜率因子的影响逐渐扩大,政策利率向国债收益率曲线的传导效率得到显著提高,我国现代货币政策框架日益健全。     

菲利浦斯曲线失灵了吗?

本文通过分析原始菲利浦斯曲线和预期扩展的菲利浦斯曲线,指出:短期里,菲利浦斯曲线是一条向右下方倾斜的曲线;长期里,菲利浦斯曲线是一条垂线。菲利浦斯曲线并没有失灵,菲利浦斯曲线反映的是沿曲线的移动,而经验上所看到的“失业率上升,通货膨胀率上升”或“失业率下降,通货膨胀率下降”乃是菲利浦斯曲线移动的结果。就失业率与通货膨胀率的关系而言,“新经济”并不新。     

中国银行业不良资产证券化信用风险评价研究

本文首先论述了国际通用的各信用风险模型的适用条件，提出改进的KMV模型作为度量我国不良资产证券化信用风险的模型。同时，提出了计算其违约概率的方法。然后根据我国不良资产的实际情况，建立了一个具有普遍性的模拟的不良资产包，分析其证券化中各个不同发债规模下的信用风险，得出其资产变现收入在对数正态分布下和真实分布中的违约概率，为我国不良资产证券化的风险控制在一定程度上提供了理论依据和技术支持。     

射频识别技术在商品储运领域的应用

文中介绍了RFID技术在商品储运领域中的优势,然后从危险品跟踪、集装箱跟踪、食品跟踪和仓库管理等方面列举了RFID在商品储运领域的典型应用,最后分析RFID在商品储运领域的应用环节。     

Limits to air travel growth: The case of infrequent flyers

Most air travel forecasts predict a long-term rise in demand, with limited consideration of any limits to growth. However for any given population there will be those who have not flown recently (‘infrequent flyers’), as well as non-flyers, and little is known about these and whether they are likely to fly in the future. The aim of this paper is to analyse the characteristics of these groups and the reasons for their travel habits, using the UK as a case study. The findings show that infrequent flyers make up a heterogeneous consumer group whose non-flying is influenced more by budget constraints and personal circumstances than specific aviation factors. Comparisons with Belgian, German and Dutch infrequent flyers indicate some similarities, although there are differences in the relative importance of the reasons for not flying. The findings have implications for the aviation industry and regulators, and policy areas related to consumers and climate change.     

Design limits and dynamic policy analysis

This paper characterizes the frequency domain properties of feedback control rules in linear systems in order to better understand how different policies affect outcomes frequency by frequency. We are especially concerned in understanding how reductions of variance at some frequencies induce increases in variance at others. Tradeoffs of this type are known in the control literature as design limits. Design limits are important in understanding the full range of effects of macroeconomic stabilization policies. We extend existing results to account for discrete time bivariate systems with rational expectations. Application is made to the evaluation of monetary policy rules.     

中国通货膨胀预期及其影响因素分析——基于混频无套利Nelson-Siegel利率期限结构扩展模型

综合国债市场的利率期限结构信息以及不同频率的宏观信息,本文构建混频无套利Nelson-Siegel利率期限结构扩展模型,在对不同期限债券进行一致性定价理论约束下,提取了中国通货膨胀预期的期限结构并对其进行影响因素分析。研究结果表明,本文模型提取的通胀预期期限丰富、结果稳健,具有较好的参考价值。通胀预期水平和变动响应主要受货币增长率、通胀率及全球食品价格变动等国内外相关宏观变量的影响,与国债收益率因子之间的关系不显著;国债收益率因子对中长期通胀预期的方差波动具有较强解释力,表明国债定价反映了未来通胀的不确定性。本文研究有助于充分利用我国宏观与金融市场信息条件,有效发现和锚定通胀预期,一方面,研究结果可为政策制定者和市场投资者提供科学的决策参考,另一方面,研究方法对丰富宏观金融领域的分析框架具有参考价值。     

中国宏观经济总量的实时预报与短期预测——基于混频数据预测模型的实证研究

季度GDP的走势与波动不仅会影响政府的财政收支、企业的盈利和财务状况,甚至还会影响家庭和个人的收入与支出,是宏观经济总量预报、预测与分析的重中之重。传统的宏观经济总量预测模型是基于同频数据进行的,高频和超高频数据必需处理为低频数据,这不仅忽略了高频数据信息的变化,还影响了模型预报和预测的及时性,降低了模型的预测精度。本文将混合数据抽样模型(MIDAS)用于中国季度GDP的预报和预测,实证研究表明,出口是造成我国金融危机时期经济增长减速的主要因素,MIDAS模型在中国宏观经济总量的短期预测方面具有精确性的比较优势,在实时预报方面具有显著的可行性和时效性。