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Do seasonality, break and spillover effects explain commodity price volatility: Evidence from the Indian commodity markets

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TLDR
In this article, the effect of seasonality, structural shifts and spillover effects on volatility in commodity futures and spot markets is examined. But, seasonality and structural breaks are statistically able to reduce the volatility but the magnitude is very negligible with an exception in cumin futures markets.
Abstract
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 in the variance equation are statistically able to reduce the volatility but the magnitude is very negligible with an exception in cumin futures markets. 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.

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Citations
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Price discovery and volatility spillover: an empirical evidence from spot and futures agricultural commodity markets in India

TL;DR: In this paper, the authors investigated empirically the price discovery and volatility spillover in Indian agriculture spot and futures commodity markets using Granger causality, vector error correction model (VECM) and exponential generalized autoregressive conditional heteroskedasticity (EGARCH).
Posted Content

Price Discovery and Volatility Spillover in the Agricultural Commodity Futures Market in India

TL;DR: In this article, a combination of VECM and EGARCH models was used to analyze the price behavior in terms of returns as well as volatility between the spot and futures markets for these four commodities.
Journal ArticleDOI

Investigating the price volatility transmission mechanisms of selected fresh vegetable chains in Greece

TL;DR: In this article, the authors tried to model the transmission of volatility between producer and consumer prices in the fresh potato, tomato, and cucumber markets in Greece, using the most popular multivariate GARCH models while taking into consideration possible asymmetries in the transmission process.
Journal ArticleDOI

Wavelet-based analysis of guar futures in India: did we kill the golden goose?

TL;DR: In this article, the role of speculative speculation in the futures market and its adverse impact on the guar-based agri-business ecosystem have been empirically explored using wavelet multi-resolution analysis.

Does Seasonality and Volatility affect the price discovery of Agricultural Commodities: A review paper on Indian commodity market

Supriya yadav
TL;DR: In this paper, the authors analyzed the data using econometrics tools and techniques, specifically generalised autoregression conditional heteroscedasticity (GARCH) and EGARCH to figure out how seasonality and volatility affect price discovery agricultural commodities.
References
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Journal ArticleDOI

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Journal ArticleDOI

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