Non-linear Gaussian sovereign CDS pricing models

Prior literature indicates that quadratic models and the Black–Karasinski model are very promising for CDS pricing. This paper extends these models and the Black [J. Finance 1995, 50, 1371–1376] model for pricing sovereign CDS’s. For all 10 sovereigns in the sample quadratic models best fit CDS spreads in-sample, and a four factor quadratic model can account for the joint effects on CDS spreads of default risk, default loss risk and liquidity risk with no restriction to factors correlation. Liquidity risk appears to affect sovereign CDS spreads. However, quadratic models tend to over-fit some CDS maturities at the expense of other maturities, while the BK model is particularly immune from this tendency. The Black model seems preferable because its out-of-sample performance in the time series dimension is the best.     

数学素质教育的发现法

素质教育倡导数学教学应重视学生的主观能动性，力求使学生亲身经历数学问题的发现过程，体验研究成果的喜悦。文章就发现法教学从理论到实践阐述了这种教学方式的五种途径。     

辽宁省农产品电子商务发展对策分析

文章运用SWOT方法分析了辽宁省农产品电子商务的应用现状，运用SPSS软件进行了电子商务与第一产业关系的实证研究，并在此基础上提出了有针对性的对策建议。     

第三方物流在新疆的发展现状及对策

第三方物流已成为现代物流管理的主流模式,具有其独特的优越性.文章利用SWOT分析了新疆第三方物流的发展现状及其存在的问题,提出了加快发展新疆第三方物流的发展对策.     

低负荷维氏硬度法的负荷选择

本文按照维氏硬度测定的技术条件,将基本公式H_v=1854P/D~2加以变换,从而得到一些较为简单的数学关系式.利用这些关系式,可以对不同金属薄带材料,很容易计算出较合理的负荷大小,既能保证不被"打穿",也使视场内有一个适合观测的压痕图象.     

北京CBD金融发展的SWOT分析

本文运用SWOT分析法,从战略角度对北京CBD金融发展中的优势与弱势、机会与挑战,进行了分析和思考,并提出了自己的一些观点和建议。     

CCM在公路工程项目进度管理中的实证分析

本文论述了CCM技术以及项目进度延迟的原因。并采用基于TOC的CCM技术,对公路工程 项目进度管理进行了实证分析。通过分析结果与传统方法的比较,论证CCM技术在公路工程项目进度管 理中的实用价值。     

广州南沙港发展现代物流业的SWOT分析及对策研究

本文用SWOT分析法时广州南沙港发展现代物流业的优劣势以及面临的机遇和挑战进行了综合分析，并就如何做强南沙港物流业提出了相关对策。     

CEV模型的单位根检验研究

CEV模型（Constant Elasticity of Variance Model）作为常用的利率模型，在实证分析中得到了广泛运用，但是其单位根检验一直被忽略或者被默认可以使用迪基一富勒检验。本文首次运用Box—Cox变换的技巧，针对CEV模型的单位根检验问题，找到了合适的统计量并且证明其渐进分布存在，然后通过蒙特卡罗方法求出了该统计量的分布表。得到了在大样本的情形下可以沿用迪基一富勒检验，但在小样本的情形下与迪基一富勒检验有所偏差的结论。     

Why I am a Psychology Major: An Empirical Analysis of Student Motivations

The underlying “architecture of the decision to pursue a degree in psychology was quantified using the Method of Sorting technique to identifying the critical issues necessary to make this choice. Multidimentsional scaling procedures were employed to construct a three-dimensional map representing the relationships between reasons for selecting psychology as a major. Freshman and senior psychology majors (N = 165) from a regional university and a large research-based institution rated the relative importance of items in their decision-making process. Hierarchical clustering procedures revealed seven different groups of students. Although significant differences associated with class standing were not found, institutional affiliation did influence cluster composition. Reflecting local emphases, students at the regional institution had a greater interest in Counseling Psychology, whereas those at the research-based school focused on Clinical Psychology. This semantic map and the associated item clusters arising from psychology student data provides an empirical basis for, amongst other things, course selection, faculty-initiated program design or revision, strategic niche marketing, and student retention.