The Structural Relation Between Mortgage and Market Interest Rates

This paper analyzes the dynamic relationship between primary and secondary mortgage markets and the short-term and long-term market interest rates. Using a series of monthly data on fixed rate mortgage rates and GNMA rates, we explore the dependence and speed of adjustment in these primary and secondary mortgage rates to each other as well as to the long and short-term government rates. The results indicate that residential mortgage rates in general, appear to follow the long-term rate and are not very sensitive to movements in the short-term interest rate.     

中南五省流通业的发展和经济增长相关性分析——基于面板协整、因果检验方法

本文利用面板协整检验、格兰杰因果检验模型,对中南五省的国内生产总值、批发零售和餐饮业之间的协整、格兰杰因果关系进行检验,研究结果表明：国内生产总值和批发零售、国内生产总值和餐饮业之间存在长期稳定的协整关系;各省的餐饮业、批发零售业对GDP的增长存在显著的促进作用,并且促进程度在各省之间存在明显的差异,其中沿海两省远远高于内地三省;地理位置的空间差异对餐饮业、批发零售业对GDP的长期影响程度存在明显性影响。中南五省整体的面板协整方程估计结果同样表明,批发零售业和餐饮业的发展,促进了各省GDP的增长。     

关于我国农村金融与农业技术进步的实证分析——基于时间序列数据的研究

金融发展通过＂资本积累＂和＂技术进步＂两条途径来实现对经济增长的影响,技术进步才是决定长期经济增长的关键因素。判断（农村）金融能否可持续发展的标准应该是其能否促进（农业）技术进步。基于1985-2005年的时间序列数据的实证分析,认为我国农村金融发展与农业技术进步之间存在着长期的、均衡的、单向因果关系,即农业技术进步对农村金融发展有着推动作用,而农村金融发展对我国农业技术进步的作用不明显。因此,我国农村金融深化改革应该以促进农业技术进步为导向,以实现农村金融资源的优化配置。     

我国房地产泡沫与银行信贷规模的相关性研究

本文首先从理论上深刻剖析了房地产泡沫与银行信贷规模相互之间的作用与传导机制,在此基础上选取2006年—2018年相关指标的年度数据,对房地产泡沫与银行信贷规模进行了图形拟合与周期性波动规律分析,分析发现二者存在极高的契合度.建立房地产泡沫的函数,构建协整方程实证发现银行信贷规模对房地产泡沫的长期弹性系数为0.51,从长...     

Goodwill write-off and financial market behaviour: An analysis of possible relationships

The aim of this contribution is to verify whether there exists a reaction of financial markets to the new accounting method for goodwill introduced by SFAS 142 and IAS 36. Our research hypothesis is that financial markets should have no significant reaction to the goodwill write-off following the impairment test, since the latter's outcome represents an economic estimate without financial significance. The hypothesis was checked by the analysis of the companies added to the Standard & Poor's Europe 350 index over a three-year period, taking note of goodwill write-off announcements and relating them with the stock market prices and their volatility. The results demonstrate a correlation between the goodwill write-off and the behaviour of financial markets, while the same connection cannot be evinced for prices volatility. Also, what comes out from our analysis is that markets need a relatively long period, over one semester, before absorbing in full the effects resulting from the write-off announcement.     

浅层平板载荷试验的应用与探讨

浅层平板载荷试验可用于测定承压板下应力主要影响范围内的承载力和变化特性,具有直观、准确、可靠的突出优点。现结合工程实例对相关问题进行了探讨与分析,并提出该方法的一些不足,进一步丰富平板载荷试验的研究与应用。     

An improved bootstrap test of stochastic dominance

We propose a new method of testing stochastic dominance that improves on existing tests based on the standard bootstrap or subsampling. The method admits prospects involving infinite as well as finite dimensional unknown parameters, so that the variables are allowed to be residuals from nonparametric and semiparametric models. The proposed bootstrap tests have asymptotic sizes that are less than or equal to the nominal level uniformly over probabilities in the null hypothesis under regularity conditions. This paper also characterizes the set of probabilities so that the asymptotic size is exactly equal to the nominal level uniformly. As our simulation results show, these characteristics of our tests lead to an improved power property in general. The improvement stems from the design of the bootstrap test whose limiting behavior mimics the discontinuity of the original test’s limiting distribution.     

半导体照明产品检测实验室建设及展望

基于半导体照明灯具的特点,结合目前半导体照明产品检测的实际情况,从光、色、电、寿命及安全性等方面介绍了半导体照明产品检测实验室的建设方案,包括系统的功能、组成、基本的检测原理和方法等。     

Sequential control of time series by functionals of kernal-weighted empirical processes under local alternatives

Motivated in part by applications in model selection in statistical genetics and sequential monitoring of financial data, we study an empirical process framework for a class of stopping rules which rely on kernel-weighted averages of past data. We are interested in the asymptotic distribution for time series data and an analysis of the joint influence of the smoothing policy and the alternative defining the deviation from the null model (in-control state). We employ a certain type of local alternative which provides meaningful insights. Our results hold true for short memory processes which satisfy a weak mixing condition. By relying on an empirical process framework we obtain both asymptotic laws for the classical fixed sample design and the sequential monitoring design. As a by-product we establish the asymptotic distribution of the Nadaraya-Watson kernel smoother when the regressors do not get dense as the sample size increases.Acknowledgements The author is grateful to two anonymous referees for their constructive comments, which improved the paper. One referee draws my attention to Lifshits paper. The financial support of the Collaborative Research Centre Reduction of Complexity in Multivariate Data Structures (SFB 475) of the German Research Foundation (DFG) is greatly acknowledged.