What is a primary challenge in forecasting demand for recycled gold?

• A. High liquidity.
• B. Long trading history.
• C. No long trading history in this market.
• D. Excessive past data.

Answer: (C)

Forecasting demand relies on having enough historical data to spot how demand responds to price, fashion trends, and economic conditions. In the recycled-gold market, there isn’t a long, consistent trading history, so there’s limited data on how demand has behaved over time. This makes it hard to identify patterns, test relationships, and build reliable forecasts. Scrap supply and consumer behavior can shift quickly and aren’t well documented, so models struggle without a substantial historical record. High liquidity or a long trading history would actually help forecasting, and having more data isn’t a problem, so the absence of a long trading history is the core challenge here.