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

机译:var模型在钢期货价格发现实证研究中的应用

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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.
机译:为了讨论钢铁未来的价格发现功能,本文采用了一周的钢筋未来价格和现货价格的实证研究,这是通过约翰森协整试验,格兰杰因果试验,方差分解和脉冲响应函数基础 var模型。 有人发现,两个价格系列之间存在长期均衡关系和格兰杰领先关系。 此外,事实证明,期货价格股票总方差的较高部分比现货价格通过方差分解,而在短期内,未来价格和现货价格对未来价格的标准差异创新的反应更为较强,而不是现货价格的反应。 。 因此,本文照亮了钢筋期货在价格发现中发挥了更重要的作用。

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