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.     

Analysis of cointegrated VARMA processes

VARMA (vector autoregressive moving average) processes are proposed for modelling cointegrated variables. For this purpose the echelon form is combined with the error correction form. Procedures for estimating the Kronecker indices which characterize the echelon form and for specifying the cointegration rank are discussed. The asymptotic distribution of the coefficient estimators is given. An example based o n US macroeconomic data illustrates the procedure and demonstrates its feasibility in practice.     

中国股市波动与经济波动的传递性研究

基于1994~2004年度的月份数据,对股市波动与经济波动的关系进行研究。我们采用Schwert(1989)的12阶自回归模型对各经济变量序列的波动性进行估计,并进一步通过Granger因果检验和冲击反应函数考察各波动序列之间的内在关系。检验结果表明:在Granger因果检定中,股市波动并未受到总体经济波动的影响,说明股市在一定程度上反映了当前的经济信息;股市波动与经济波动的冲击反应函数则显示,股市波动与经济波动之间的影响大体在6~8个月以内传递完毕。     

Minnesota-type adaptive hierarchical priors for large Bayesian VARs

Large Bayesian VARs with stochastic volatility are increasingly used in empirical macroeconomics. The key to making these highly parameterized VARs useful is the use of shrinkage priors. We develop a family of priors that captures the best features of two prominent classes of shrinkage priors: adaptive hierarchical priors and Minnesota priors. Like adaptive hierarchical priors, these new priors ensure that only ‘small’ coefficients are strongly shrunk to zero, while ‘large’ coefficients remain intact. At the same time, these new priors can also incorporate many useful features of the Minnesota priors such as cross-variable shrinkage and shrinking coefficients on higher lags more aggressively. We introduce a fast posterior sampler to estimate BVARs with this family of priors—for a BVAR with 25 variables and 4 lags, obtaining 10,000 posterior draws takes about 3 min on a standard desktop computer. In a forecasting exercise, we show that these new priors outperform both adaptive hierarchical priors and Minnesota priors.     

The Austrian current account deficit: Driven by twin deficits or by intertemporal expenditure allocation?

The evidence presented in the paper rejects the twin deficit hypothesis for the Austrian current account balance during the last two decades. The results are based on an estimate of a vector error correction model including quarterly data for the current account balance and potentially relevant variables driving its dynamics. We compute the variance decomposition of the current account's forecast error and its generalized impulse responses to shocks in the innovations of the system. The results in favor of intertemporal expenditure reallocation cannot be reproduced within a second analysis including the current account and a measure of net output, however. The estimated implicit current account balance, interpreted as the discounted expected change in future net output, does not follow the actual behaviour of the current account. First version received: June 1999/Final version received: March 2001     

Asymptotic confidence bands for the estimated autocovariance and autocorrelation functions of vector autoregressive models

This paper provides closed-form formulae for computing the asymptotic covariance matrices of the estimated autocovariance and autocorrelation functions of stable VAR models by means of the delta method. These covariance matrices can be used to construct asymptotic confidence bands for the estimated autocovariance and autocorrelation functions to assess the underlying estimation uncertainty. The usefulness of the formulae for empirical work is illustrated by an application to inflation and output gap data for the U.S. economy indicating the existence of a significant short-run Phillips-curve tradeoff.First version received: November 2002/Final version received: September 2003     

商业银行信用风险与宏观经济——基于压力测试的研究

本文采用压力测试框架,研究了宏观经济波动对商业银行信用风险的影响。文章以不良贷款率度量信用风险,以名义GDP增长率、广义货币供应量（M2）增速、居民消费价格指数（CPI）以及房地产销售价格指数作为宏观经济变量,建立了合适的宏观压力测试模型。在GDP增速放缓、CPI上升、M2增速下降的压力情景下,预测了2011年第一季度到第四季度的不良贷款率的变化路径。实证结果表明在压力情景下商业银行的不良贷款率将会显著上升。     

中国货币政策独立性和有效性检验——基于1994-2004年数据

基于葛兰杰因果方法对1994-2004年中国货币政策独立性和有效性进行的检验结果显示:在独立性方面,利率不是货币数量的葛兰杰原因,说明考察期内中国货币政策总体上保持了对外独立性,否定了钉住汇率制度是造成中国货币政策不独立的先验判断;在有效性方面,仅显示货币数量M0对物价有肯定的正向影响,货币数量M1和利率对产出及物价的影响力均不显著。这意味着货币政策效果不理想的主要原因是中国金融体系发育不成熟、企业治理结构不完善、市场机制不健全等内部因素,而不应归咎于传统钉住汇率制度的外部制约。因此,提高货币政策效果的策略应该是加速金融体系的发展,完善企业治理结构,而不是放弃保持汇率基本稳定的汇率管理方针。     

基于RBF和PSO的双喉道气动矢量喷管优化设计

本文探索了一种能多变量综合优化的方法,即对喷管进行参数化设计后,用均匀试验设计(UED)将试验样本均匀散布在设计区间内,求出各性能参数后,利用径向基神经网络(RBF)对试验样本进行拟合,再用粒子群算法(PSO)对训练好的神经网络进行寻优,找出了更好的双喉道气动矢量喷管设计参数组合。数值模拟结果显示,优化后的双喉道气动矢量喷管的矢量角有了明显提高。试验表明这种优化方法具有很好的优化能力,可以用来对喷管几何外形进行参数优化。      

FDI、国际贸易及我国经济增长的协整分析与VECM模型

本文利用我国1983-2004年的经济数据进行实证检验,根据协整理论建立向量误差修正模型(VECM)。实证结果说明外国直接投资、国际贸易与经济增长间具有长期均衡关系,且我国国内生产总值的增长与外国直接投资有双向因果关系,但相互影响的程度不同;我国为出口导向型经济增长国家且外国直接投资对国际贸易具有促进作用.