Gallagher 03/2010 The Effects of Demand Forecast Error Consider a commodity market, like corn. The assumptions for our analysis are: 1. There are two production periods. 2. The present is at the beginning of the first period where farmers are deciding how much corn to plant and produce, and buyers have not yet observed the price (P1) or decided how much to consume. 3. Supply and demand curves for period 1 (S1 and D1) are the same as supply and demand curves for the future period 2 (S2 and D2). 4. Period 2 demand consists of consumers who wait until observing the period 2 price (P2) to decide on their corn consumption level. 5. Merchants carry (hedged) inventory from period 1 to period 2 (I12) on the basis of profits obtained from buying at P1 and selling at Pf. Arbitrage and inventory expansion occurs up to the point where profit opportunities are exhausted. 6. Market participants have accurate information about S1 and D1, but they rely on a public forecast to establish the position of D2. With a good Demand Forecast for D2, 0 πΌ12 = 0 in Figure 1 because ES = ED; That is, the future demand/supply balance is the same as the present demand/supply balance. π10 is year 1 cash price. π20 is also year 2 cash price. So there is no price variability. π π π Suppose π·2 is a mistaken forecast. Then inventory demand is defined by πΈπ·12 . So π1 is year 1 π cash price, which is higher. π1 is also year 1 future price for year 2 delivery. After actual Demand D2 is discovered in period 2, the market clears at price π21 . Now there is π price variability – the price changes from π1 in period 1 to π21 in period 2. Page 1| Figure 1. The Effect of a 2nd Period Demand Forecast Error, no Consumer Hedging. πΈπ12 π π2 + πΌ12 π2 π1 π π1 π10 π20 π21 π·1 π·2 0 πΌ12 =0 πΈπ·12 π π·2 π πΈπ·12 π πΌ12 Page 2| Next replace Assumption 4 with the following: 4. period 2 demand is split equally between two groups: those who make their corn consumption decision for period 2 on the basis of the futures price (for delivery in period 2) that prevails in period 1 (Pf), and those who wait until observing the period 2 price (P2)to decide on their corn consumption level. In the event that the demand forecast is accurate, the period 1 and period 2 price are still the same at π10 and π20 , π π π in figure 2. Similarly, the inaccurate demand forecast π·2 still produces πΈπ·12 and inventory πΌ12 , as in figure 1. However, the period 2 demand curve is steeper with respect to a decrease in the period 2 price. This occurs π because the demand curve for hedged consumers becomes perfectly inelastic when the price falls below π2 . Only the unhedged fraction of consumers increase demand when the price falls. (See Figure 3) π Comparing to Figure 1, the price decrease in period 1, π21 − π20 is bigger than π2 − π20 , the period 1 price increase. Why? Hedging and non-hedging consumers both reduce consumption when futures price increases in figure 1. But committed consumers do not make adjustments when the price falls in period 2. Now, compare the accurate and inaccurate demand forecast. From figure 2 producers gain area A + B in period 0 and lose area C in period 1 with an inaccurate forecast and price instability. Figure 3 depicts the distribution of welfare change between unhedged and hedged buyers. The hedged consumers lose area D with price instability. Meanwhile, the unhedged consumer gain area E. In Figure 2, the net consumer gain from price stability in period 2 is Area C + F. Also the period 0 loss is area A. Page 3| Figure 2. The Effect of a 2nd Period Demand Forecast Error, with Period 1 hedge. πΈπ12 S2 + I S2 S1 π π2 π π1 π10 A B π20 C π21 F D2 D1 0 πΌ12 =0 π πΌ12 πΈπ·12 π π·2 π πΈπ·12 π·2β Page 4| Total Consumer Gain: +E-D Figure 3: Distribution of Consumer Gain Unhedged consumer Hedged consumer π π2 D E π20 π21 π π·2 D2 Page 5|