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Modelling Long-Run Relationship between Spot and Future Prices of Different Commodities

机译:建立不同商品现货价格与期货价格之间的长期关系模型

摘要

The purpose of this study is to investigate whether there exists any kind of relationship between the spot and future prices of the different commodities or not. Commodities like cocoa, coffee, crude oil, gold, natural gas and silver are considered from January 3, 2000 to December 31, 2012. For this purpose, ADF test and KPSS test are used in testing the stationarity whereas Johansen Cointegration test is used in testing the long-run relationship. Johansen co-integration test exhibits that there at least 5 co-integrating pairs out of 6 except crude oil. Moreover, the result of Granger Causality supports the fact that if two or more than two time series tend to be co-integrated there exists either uni-directional or bi-directional relationship. However, our results reveled thatalthough there exists the co-integration between the variable, one might not granger causes another .VAR model is also used to measure the proportion of effects. These findings will help the derivative market and arbitragers in developing the strategies to gain the maximum profit in the financial market.
机译:本研究的目的是调查不同商品的现货价格与未来价格之间是否存在某种关系。从2000年1月3日至2012年12月31日,考虑使用可可,咖啡,原油,黄金,天然气和白银等商品。为此,使用ADF测试和KPSS测试来测试平稳性,而使用Johansen Cointegration测试来测试平稳性。测试长期关系。 Johansen协整测试显示,除​​原油外,在6个中至少有5个协整对。此外,格兰杰因果关系的结果支持以下事实:如果倾向于将两个或两个以上时间序列进行协整,则将存在单向或双向关系。然而,我们的研究结果表明,尽管变量之间存在协整关系,但一个变量可能不会引起更大的波动。另一个VAR模型也用于衡量效应比例。这些发现将有助于衍生品市场和套利者制定策略,以在金融市场上获得最大的利润。

著录项

  • 作者

    Shah Prem;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 en
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