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Do seasonality, break and spillover effects explain commodity price volatilityEvidence from the Indian commodity markets

机译:做季节性,休息和溢出效应解释印度商品市场的商品价格不稳健

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Purpose - The purpose of this paper is to understand the volatility in commodity futures and spot markets. The study starts with a few questions: first, the effect of seasonality on the volatility is studied. Thereafter, the presence of structural breaks in the variance is identified. At last the seasonality, structural shifts and spillover effects are examined together to find out their effects on volatility.Design/methodology/approach - The methodology heavily employs econometric tools and techniques. The monthly seasonal dummies are incorporated to identify the effects of seasonality on volatility. Then, the presence of break in volatility is tested by cumulative sum of squares (CUSUM test), followed by generalized autoregressive conditional heteroscedastictity and EGARCH models are measured by including seasonal dummies, break dummies and the residuals of other market in the variance equation to determine spillover effects. Findings - It is found that the effects of seasonality on volatility cannot be ignored as the effects are significant. The presence of asymmetry is detected in all the commodities. The presence of seasonality and structural breaks inthe variance equation are statistically able to reduce the volatility but the magnitude is very negligible with an exception in cumin futures markers. Bi-directional volatility spillover between futures and spot markets is observed in all the commodities and the effect of spillover is more from spot markets to the futures markets.Research limitations/implications - This study is limited to a few agro commodities which are well traded. This study could have been extended to the other thinly traded commodities. This study has also taken only near month futures contracts as it contains more information but the same could have been studied by taking far month contracts also.Originality/value - The present study attempted to understand the conjugated effects of seasonality, structural breaks and spillover on volatility of commodity markets which is not apparent in the previous studies. This study has also employed methodological rigor to identify the breaks in the variance equation. In addition to this it has also investigated whether Indian commodity futures markets are informationally more efficient than the spot markets.
机译:目的 - 本文的目的是了解商品期货和现货市场的波动。这项研究从几个问题开始:首先,研究了季节性对波动性的影响。此后,鉴定了方差中的结构断裂的存在。最后,检查季节性,结构性转变和溢出效应,以便在挥发性上找出它们对波动性的影响.Design/Methodology/Approach - 该方法大量采用了经济学工具和技术。每月季节性假人注册成识别季节性对波动性的影响。然后,通过累积方块(Cusum Test)的累积总和来测试易发生的断裂,其次是通过包括季节性假人,破坏假人和其他市场的残差来测量异源纯粹条件的异源纯度,并且在方差方程中的其他市场的残差来测量。溢出效应。结果 - 发现季节性对波动性的影响不能被忽略,因为效果很重要。在所有商品中检测到不对称性的存在。季节性和结构破裂的存在差异方程在统计上能够降低波动性,但在孜然期货标志中的例外,幅度非常忽略。在所有商品中观察到期货和现货市场之间的双向波动性溢出,溢出的效果从现货市场到期货市场更多。研究限制/影响 - 本研究仅限于交易良好的农业商品。本研究可以扩展到其他薄薄的商品。本研究也仅采用了近月期货合约,因为它包含更多信息,但通过对遥远的月份合同来研究也是如此。商品市场的波动性在以前的研究中不明显。本研究还采用了方法学严格来识别方差方程中的断裂。除此之外,它还调查了印度商品期货市场是否比现货市场更效益。

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