01403nam a22001457a 4500 524598 524598 240102b ||||| |||| 00| 0 eng d Kabi, R., Panda, P. and Chari, L. 47484 Price discovery in agricultural commodities markets for India: A case of cotton Management and Labour Studies 48(4), Nov, 2023: p.478-496 This study applies vector autoregression to capture the relationships among inflation, cotton spot and futures price. Further, the autoregressive distributed lag model has been applied to capture the impact of rainfall on the cotton spot and futures price. The result of this study reveals that cotton spot price positively impacts cotton futures, while rainfall negatively impacts the price of cotton futures. There is no impact of inflation on cotton spot and futures markets. Due to the sensitivity of crops to rainfall, the monsoon plays a vital role in price discovery in the agricultural market. Similarly, inflation is another significant issue linked to agricultural prices. Further, any movement in futures prices driven by the speculative activity of traders in the commodity derivatives does not contribute to changes in the spot prices. – Reproduced https://journals.sagepub.com/doi/full/10.1177/0258042X231158408 Management and Labour Studies AGRICULTURE AR 0 0 ddc 0 0 399653 IIPA IIPA 2024-01-02 48(4), Nov, 2023: p.478-496 AR130430 2024-01-02 AR