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51.
Does Money Have a Role in Monetary Policy for Price Stability under Inflation Targeting in Thailand?
This paper deploys Thai quarterly data for the study period 1999q1–2014q4 to econometrically investigate the proposition that money growth is an important, if not the sole, determinant of inflation under inflation targeting and that the money growth-inflation relation is not conditional on the stability of the money-demand function. The autoregressive distributed-lag (ARDL) bounds-testing results suggest that, across the study period, the Thai money stock (narrow or broad), real output, prices, interest rates and exchange rates maintained a long-run equilibrium relationship. The associated error-correction model of inflation confirms the cointegral relationship among money (narrow or broad), real output, prices, interest rates and exchange rates. It also suggests that money growth has a significant distributed-lag impact on inflation. The presence of this money growth-inflation relationship was associated with a stable narrow money-demand function, whereas the broad money-demand function remained unstable. These results for the study period are consistent with the view that the causal relationship between money growth and inflation holds in Thailand under inflation targeting when the Bank of Thailand deploys a short-term policy interest rate, rather than a monetary aggregate, as the instrument of monetary policy and that this relationship is not conditional on the stability of the money-demand function. 相似文献
52.
Mohd Azlan Shah Zaidi Zulkefly Abdul Karim W.N.W. Azman-Saini 《Global Economic Review》2013,42(3):215-237
AbstractThe study provides new empirical evidence on the relative importance of foreign and domestic shocks on selected ASEAN-3 (Malaysia, Indonesia, and Thailand) macroeconomic variables. Three structural vector auto regression models are estimated for each country. The focal point is given on the formulation of the sources of foreign factors. The first model uses trade-weighted foreign variables of both US and Japan to represent the foreign factors. The other two models use US and Japan by themselves, respectively, to represent the foreign factors. Two important results are emerged. First, foreign sectors play an important role in influencing macroeconomic variables of each of the ASEAN-3 country, especially in the medium and the long-run horizon. Second, most of the time, the Japanese factors are more dominant than the US factors in influencing domestic output and inflation for each of the ASEAN-3 countries. 相似文献
53.
This paper addresses the ability of central banks to affect the structure of interest rates. We assess the causal relationship between the short‐term Effective Federal Funds Rate (FF) and long‐term interest rates associated with both public and private bonds and specifically, the 10‐Year Treasury Bond (GB10Y) and the Moody's Aaa Corporate Bond (AAA). To do this, we apply Structural Vector Autoregressive models to U.S. monthly data for the 1954–2018 period. Based on results derived from impulse response functions and forecast error variance decomposition, we find: a bidirectional relationship when GB10Y is considered as the long‐term rate and a unidirectional relationship that moves from short‐ to long‐term interest rates when AAA is considered. These conclusions show that monetary policy is able to permanently affect long‐term interest rates and the central bank has a certain degree of freedom in setting the levels of the short‐term policy rate. 相似文献
54.
本文基于中国1985~2015 年的时间序列数据构建SVAR 模型,实证检验了出口商品结构变化、产业结构优化与经济增长之间的影响关系,并进行了脉冲响应分析和方差分解分析。结果表明: 当期的出口商品结构变化对经济增长与产业结构优化对出口商品结构变化均产生显著的正影响;从跨期来看,产业结构优化和经济增长冲击主要来自于自身,出口商品结构变化对产业结构优化与产业结构优化对经济增长产生的正向冲击与影响贡献率均较小。 相似文献
55.
本文基于中国1995~2014年的数据构建SVAR模型,实证检验了国际贸易、产业结构与国内居民消费间的影响关系。结果表明:当期国际贸易对产业结构、当期产业结构对国内居民消费分别具有显著的正向影响。从跨期来看,在滞后1~6期,产业结构、国内消费水平与国际贸易的相互冲击都呈现正向效应,但波动较大,而在第6期以后基本呈稳定状态;产业结构的影响随时间增强,是自身、国际贸易和国内居民消费波动的贡献率的主要来源。国际贸易对产业结构变动的贡献率为40.01%,国内居民消费水平对国际贸易变动的贡献率为18%。 相似文献
56.
本文使用1994~2015年中国宏观经济数据,利用SVAR模型对转轨背景下我国国债发行的经济增长效应进行长短期的动态实证研究,分析结果显示:短期范围内我国国债对经济具有提升作用,但在长期我国国债规模的持续膨胀将会阻碍经济的稳定健康发展。而且,从脉冲响应图可以看出我国国债对私人投资存在先挤入后挤出效应,通过我们进一步对模型中各经济变量进行方差分解以后我们发现,从长期角度来看,私人投资比国债对经济和投资波动的解释程度要大,但没有国债对于通货膨胀波动的解释程度大。最后,根据我国目前的经济形势提出了转轨时期如何科学管理我国国债的相关建议。 相似文献
57.
货币经济理论的产生和发展是与社会生产力的发展阶段相适应的,总量性货币政策充分发挥作用必须具备适当的条件。中国社会生产力不平衡结构的特点,决定了货币政策在我国现有条件下应该发挥一定的结构性调整作用。SVAR模型的实证结果表明,我国货币政策区域效应显著,运用结构性货币政策在我国是必要的。 相似文献
58.
随着我国利率市场化改革和汇率体制改革的深入,金融市场的利率水平和人民币汇率水平对商品价格的影响越来越显著。通过建立结构向量自回归SVAR模型,运用脉冲响应函数分析,比较分析了利率、汇率变动对我国几个主要的商品价格指数的影响后发现,当前利率变动对价格的影响要强于汇率,人民币升值在短期对价格有抑制作用,但是在中期反而有促进作用。利率和汇率变动对价格的影响时间有限,在长期,价格还是会回到初始水平。 相似文献
59.
政策性冲击、货币政策操作目标:基于准备金市场模型的实证研究 总被引:3,自引:0,他引:3
对于我国货币政策操作目标,并没有一个明确的说法。为了对相对稳定、有效的货币政策操作目标进行实证判断,本文建立了宏观经济变量和准备金市场变量的结构性向量自回归模型(SVAR),通过识别假设把SVAR模型转化为包含政策变量和非政策变量新息(innovation)的关于政策变量的半结构性向量自回归模型(Semi-SVAR)。通过准备金市场模型,界定了可观察残差项与结构扰动项之间的黑箱,对我国货币政策操作目标进行识别。实证结果显示,1998年以来,我国相对稳定、有效的货币政策操作目标是准备金总额,也可以说是基础货币,并不是超额准备金和货币市场利率。识别的政策冲击反映了货币政策调控事件对货币供求的冲击,与我国货币政策的操作实际很吻合。 相似文献
60.
This study analyzes the heterogeneous response of U.S. credit spread to global oil price shocks by building an extended structural vector autoregressive model (SVAR), which can distinguish among the U.S. and non-US oil supply shocks, aggregated demand shocks and oil market-specific demand shocks behind the real oil prices. Meanwhile, a spillover index model developed by Diebold and Yilmaz (2012) (hereafter D.Y. (2012)) is used to estimate the link between oil price shocks and the U.S. credit spread over time. The results show that (i) the credit spread does not respond to global oil supply shocks and non-US oil supply shocks, but has a negative reaction to the U.S. oil supply shocks, aggregate demand shocks, and oil-market-specific demand shocks. (ii) There exists a close connectedness between oil price shocks and the U.S. credit spread, and the link fluctuates cyclically and relates to the economic cycle and the U.S. shale oil revolution. (iii) The spillover from different oil price shocks to the U.S. credit spread shows significant heterogeneity over time. Our findings suggest that policymakers and investors can better track the U.S. credit spread changes using oil price information. 相似文献