🇮🇳India

वायदा बाजार मूल्य खोज दक्षता की कमी (Futures Market Price Discovery Inefficiency)

2 verified sources

Definition

Research indicates that not all agricultural futures contracts in India are equally efficient for price discovery. Coriander, guar seed, and cotton (raw) futures show poor efficiency and speculative intent, while castor, cumin, and rapeseed-mustard futures are efficient. Traders manually analyzing 100+ commodities risk hedging with the wrong contracts, locking in false price expectations and suffering margin erosion when actual spot prices diverge.

Key Findings

  • Financial Impact: ₹50,000–₹500,000 per hedging mistake (2–5% of typical wholesale procurement value when locking wrong forward prices); affects 5–20 hedges per season
  • Frequency: Per hedging cycle (seasonal); affects pricing decisions 4–6 times per year
  • Root Cause: Fragmented futures market efficiency; lack of real-time contract quality scoring; information asymmetry between efficient and speculative contracts

Why This Matters

The Pitch: Wholesale farm product traders in India 🇮🇳 waste capital through inefficient price discovery on NCDEX/MCX. Automation to identify which futures contracts are safe for hedging (vs. speculative) prevents losses from using distorted prices to lock margins.

Affected Stakeholders

Procurement Manager, Treasury/Hedging Officer, Commodity Trader

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Financial Impact

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Methodology & Sources

Data collected via OSINT from regulatory filings, industry audits, and verified case studies.

Evidence Sources:

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