abstract in agriculture, there is a lag between planting decision and supplying the produced commodity to the market. this makes the marketed commodities as predetermined variables and prices as market clearing factor. under such a condition, the inverse demand function in which price is a function of quantity is an appropriate tool for forecasting price responses to the injected quantities to ...

Endogenous Inverse Demand Functions Buying or selling assets in a financial market impacts the prices upward downward. Quantifying these price is fundamental to many problems within finance (e.g., optimal liquidation and systemic risk). In “Endogenous Functions,” Bichuch Feinstein construct an equilibrium risk sharing problem that results endogenous inverse demand function. This taken contrast ...

We consider a Cournot oligopoly model where multiple suppliers (oligopolists) compete by choosing quantities. We compare the social welfare achieved at a Cournot equilibrium to the maximum possible, for the case where the inverse market demand function is convex. We establish a lower bound on the efficiency of Cournot equilibria in terms of a scalar parameter derived from the inverse demand fun...

In large-scale energy market models, the price–demand relationship is usually represented by a linear function. this paper, nonlinear demand functions are fitted to electricity bid data; in particular, exponential and polynomial (cubic) estimated from EPEX day-ahead data (i.e. Central Western European area). The corresponding game-theoretic, models were successfully solved using Extended Mathem...