EconPapers    
Economics at your fingertips  
 

Influence of macroeconomic variables on Indian commodity futures prices: case of agricultural commodities

Sonia Garg

International Journal of Services and Operations Management, 2025, vol. 52, issue 1, 61-81

Abstract: The present study explores the long-run and short-run impacts of various macroeconomic variables on Indian agricultural commodity futures prices. To accomplish this purpose, the present study uses an autoregressive distributed lag (ARDL) model. The findings of the study show that, in the long run, inflation has a significant impact on kapas, mentha, and chana. Gross domestic product (GDP) has a significant influence on the futures prices of cotton and guar seed. The interest rate has a significant impact on kapas only. The exchange rate has a significant impact on kapas, mentha oil, and chana. Stock market prices (SP) have a significant influence on the futures prices of kapas and mentha oil.

Keywords: macroeconomic variables; commodity futures; India; autoregressive distributed lag; ARDL; agricultural commodities. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=148833 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijsoma:v:52:y:2025:i:1:p:61-81

Access Statistics for this article

More articles in International Journal of Services and Operations Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-10-07
Handle: RePEc:ids:ijsoma:v:52:y:2025:i:1:p:61-81