The application of VAR model in the empirical study on steel futures price discovery

Ming-hong Zhang, Zhen-bo Zhang
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Abstract

In order to discuss the price discovery function of steel future, this paper made an empirical study with weekly data of rebar future price and spot price, which was by means of Johansen cointegration test, Granger causality test, Variance decomposition and Impulse response function basing on VAR model. It was found that there was long-run equilibrium relationship and Granger leading relationship between the two price series. Furthermore, it was proved that futures price shares a higher part of total variance than spot price by variance decomposition, and in short term both the future price and spot price made a stronger reaction to the standard difference innovation of future price than that of spot price. Therefore, this article illuminated that rebar futures plays a more important role in price discovery.
VAR模型在钢铁期货价格发现实证研究中的应用
为了探讨钢材期货的价格发现功能,本文采用基于VAR模型的Johansen协整检验、Granger因果检验、方差分解和脉冲响应函数对钢筋期货价格和现货价格的周数据进行了实证研究。研究发现,两个价格序列之间存在长期均衡关系和格兰杰领先关系。进一步,通过方差分解证明期货价格在总方差中所占比重高于现货价格,且短期内期货价格和现货价格对期货价格标准差创新的反应都强于现货价格。因此,本文阐明了螺纹钢期货在价格发现中的重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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