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1.
货币政策是否影响股票市场:基于中国股市的实证分析   总被引:7,自引:0,他引:7  
货币政策是否影响股票市场,对该问题的回答涉及到中央银行是否有能力以及如何干预股票市场。本文运用协整检验、Granger因果关系检验、向量自回归模型等计量方法分析得出如下结论:1.货币供应量M1、M2与股市流通市值存在双向因果关系,名义利率Nr、实际利率Rr是股市流通市值Nc的Granger原因;2.中央银行可以通过货币供应量和利率两种方式影响股票市场,其中利率更有效。这些结论对于货币当局调控股票市场具有重要的借鉴意义。  相似文献
2.
Cross-sectional spatial models frequently contain a spatial lag of the dependent variable as a regressor or a disturbance term that is spatially autoregressive. In this article we describe a computationally simple procedure for estimating cross-sectional models that contain both of these characteristics. We also give formal large-sample results.  相似文献
3.
Cross-sectional spatial models frequently contain a spatial lag of the dependent variable as a regressor or a disturbance term that is spatially autoregressive. In this article we describe a computationally simple procedure for estimating cross-sectional models that contain both of these characteristics. We also give formal large-sample results.  相似文献
4.
Using a tri-variate vector autoregression model, we study the relationships between the four Asian emerging equity markets: Hong Kong, Korea, Singapore and Taiwan, and the two largest equity markets in the world: U.S. and Japan. We find that while most of the unexpected variations in stock returns in these Asian emerging markets is explained by domestic own shocks, the impacts from the U.S. and Japan are larger in Hong Kong and Singapore than in Korea and Taiwan. This foreign effect is pronounced after the Crash of the October 1987, especially in Singapore. This revised version was published online in August 2006 with corrections to the Cover Date.  相似文献
5.
An improved way of dealing with uncertain prior information in the context of vector autoregressive systems of equations is proposed. The procedure is appropriate when inference about parameters of a cointegrated system is the aim of the analysis. The estimator uses uncertain prior information about the existence of trends and co-trends in the time series to improve parameter estimation within these systems. The improved estimator eliminates the need to carry out the unit root, cointegration, and parameter restriction pretests and is shown in our Monte Carlo experiments to have good statistical properties in small samples. The pretest, maximum likelihood, and restricted maximum likelihood estimators are compared to the proposed estimator based on squared error risk, mean square error of prediction risk, and out-of-sample root-mean-square forecast error. The Monte Carlo simulations are based on actual economic data collected for eurodollar futures contracts. The evidence suggests that the parameters of vector autoregressive systems can be estimated with lower mean square error with the new estimator even when prior guesses about the nature of the cointegrating vector(s) are incorrect. In-sample prediction is likewise improved. The Monte Carlo simulations are based on eurodollar spot and futures market data that has been used to test the unbiased expectations hypothesis.Marjory B. Ourso Center for Excellence in Teaching Professor  相似文献
6.
Real interest rates fluctuated a great deal since the 1970s. In the 1980s federal deficits accelerated and their impact on both nominal and real interest rates gained lots of attention. Based on monthly and quarterly data from January 1971 to December 1997 it is found that federal deficits had significant positive effect on the real interest rates: Personal income or consumption are found to have significant positive impact on the real interest rates, whereas expected inflation and money supply are found to have negative impact on the real interest rates. These findings are consistent with the conventional economic theory.  相似文献
7.
This article uses Bayesian vector autoregressive models to examine the usefulness of leading indicators in predicting U.S. home sales. The benchmark Bayesian model includes home sales, price of homes, mortgage rate, real personal disposable income, and unemployment rate. We evaluate the forecasting performance of six alternative leading indicators by adding each, in turn, to the benchmark model. Out-of-sample forecast performance over three periods shows that the model that includes building permits authorized consistently produces the most accurate forecasts. Thus, the intention to build in the future provides good information with which to predict U.S. home sales. Another finding suggests that leading indicators with longer leads outperform the short-leading indicators.  相似文献
8.
Using a tri-variate vector autoregression model, we study the relationships between the four Asian emerging equity markets: Hong Kong, Korea, Singapore and Taiwan, and the two largest equity markets in the world: U.S. and Japan. We find that while most of the unexpected variations in stock returns in these Asian emerging markets is explained by domestic own shocks, the impacts from the U.S. and Japan are larger in Hong Kong and Singapore than in Korea and Taiwan. This foreign effect is pronounced after the Crash of the October 1987, especially in Singapore. This revised version was published online in August 2006 with corrections to the Cover Date.  相似文献
9.
本文使用格兰杰因果检验、向量自回归模型等方法筛选出贵州省经济增长的先行因素,并用主成分分析法构建贵州省宏观经济先行指数,以期对未来贵州省经济发展走势和周期做出判断.主要结论有两个:一是本文构建的先行指数解释力较强、预测比较精确;二是工业生产者出厂价格指数、各项存款余额同比增速是贵州省经济增长走势的先行指标,对宏观经济的驱动力较强,但是两者受外部环境和货币政策影响较大,贵州省未来发展面临不确定因素.  相似文献
10.
2008年金融危机以来,我国采取了积极的扩张的宏观政策,效果显著.但在刺激经济复苏的同时,造成了通胀预期甚至通胀风险为后危机时代紧缩政策的退出埋下了伏笔.一旦宏观政策由宽松转为从紧,不断上涨的房价,也将会因此受到极大影响.而我国的房价一旦下降,扩张政策形成的大量银行房贷有可能形成银行巨额坏账,在给银行带来巨大信贷风险的同时也完全有可能引发我国银行业的全面危机.本文主要通过向量自回归模型(VAR模型),结合数据进行实证研究,分析我国房地产价格与货币政策相关变量的关系,预期得到货币政策显著影响房价的结论.另外通过VaR模型与压力测试,分别从房地产开发贷款还款逾期、个人住房抵押贷款违约两方面,来分析房地产价格下降的幅度对银行净利润的影响,从而预测扩张性的货币政策的退出力度,最终通过阐述扩张性货币政策退出之后可能会形成系统性房贷风险甚至银行危机的机理,达到帮助银行规避系统性风险的目的.  相似文献
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