Impact of COVID-19 trade suspension on price discovery in FPO-traded agri-derivatives
Abstract
Purpose
This study aims to examine whether agricultural commodities exhibited deviations in the lead-lag relationship between future and spot prices of farmer producer organizations (FPOs) traded commodities in the Indian derivative market after trade suspensions during Covid-19. The study may help buyers and sellers to get a fair price for their commodities after lockdown-trade disruptions.
Design/methodology/approach
The study applied the Granger causality (GC) test and the vector error correction model (VECM) to analyse short-run and long-run lead-lag relationships. Moreover, the study examined the pre-post-trade suspension effect on the lead-lag relationship of commodity prices.
Findings
The GC test results show that five out of the 13 agri-commodities have changed their lead-lag relationship from future to spot in the short run. Simultaneously, VECM captured changes in the lead-lag relationship for the same five commodities in the long run due to trade suspensions.
Practical implications
The findings indicate a reverse lead-lag relationship between future and spot prices for aforesaid commodities after trade suspension. The stakeholders may use the lead prices for these commodities to perform a fair trade. The study may be helpful in structuring price discovery strategy to achieve optimal price and efficient derivative trading.
Originality/value
To the best of the authors’ knowledge, this is the first study examining the effects of trade suspension on price discovery in FPO-traded agri-derivatives caused by the COVID-19 pandemic.
Keywords
Acknowledgements
Acknowledgment: Not applicable.
Funding statement: Not applicable.
Ethics statements: The paper follows all the parameters provided by the journal.
Conflict of interest disclosure: There is no conflict of interest to disclose.
Citation
Baishnab, K. and Singh, P.K. (2024), "Impact of COVID-19 trade suspension on price discovery in FPO-traded agri-derivatives", Journal of Modelling in Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JM2-04-2024-0105
Publisher
:Emerald Publishing Limited
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