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首页> 外文期刊>International Journal of Statistics and Applications >Application of Granger Causality Test in Forecasting Monetray Policy Transmision Channels for Nigeria
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Application of Granger Causality Test in Forecasting Monetray Policy Transmision Channels for Nigeria

机译:格兰杰因果关系检验在预测尼日利亚货币政策传导渠道中的应用

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This paper focused on the causality relationship test with application to monetary policy transmission channels for Nigeria in the framework of vector autoregressive (VAR) model. Data used consist of three main monetary policy transmission channels (credits, exchange rate and interest rate) and are arranged on monthly basis, starting from January 2008 to June 2016. Granger causality analysis was carried out on the data in order to assess the potential predictability of one channel(s) to the others. The result shows a unidirectional causality relationship between exchange rate channel and interest rate channel, and between credit channel and interest rate channel. This reveals that exchange rate channel and credit channel was useful in forecasting interest rate, but the converse is not true. Also, a pair-wise Granger Causality test shows non-directional causality between credit channel and exchange rate channel, which indicates that both channels cannot affect each other. Thus, exchange rate channel cannot be used to forecast credit channel, also the converse is true.
机译:在矢量自回归(VAR)模型的框架下,本文重点探讨了因果关系检验及其在尼日利亚货币政策传导渠道中的应用。所使用的数据包括三个主要的货币政策传输渠道(信贷,汇率和利率),并从2008年1月至2016年6月按月安排。对数据进行了格兰杰因果关系分析,以评估潜在的可预测性一个频道到另一个频道。结果表明汇率通道与利率通道之间,信贷通道与利率通道之间存在单向因果关系。这表明汇率渠道和信贷渠道在预测利率方面很有用,但事实并非如此。此外,成对的格兰杰因果关系检验显示信贷渠道和汇率渠道之间存在非定向因果关系,这表明这两个渠道不会相互影响。因此,汇率渠道不能用于预测信贷渠道,反之亦然。

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