Assessment of agricultural vulnerability to climate change is a prerequisite for developing effective adaptation options and strategies for the future. While assessment approaches vary across sectors and countries, there is a need to devise an effective method to assess agricultural...

This paper proposes a welfare criterion for economies in which agents have heterogeneously distorted beliefs. Instead of taking a stand on whose belief is correct, our criterion asserts that an allocation is belief-neutral efficient (inefficient) if it is efficient (inefficient) under any convex...

The large inflow of investment capital to commodity futures markets in the past decade has generated a heated debate about whether financialization distorts commodity prices. Rather than focusing on the opposing views concerning whether investment flows caused a price bubble, we critically...

We study rollover risk and collateral value in a dynamic asset pricing model with endogenous debt financing by extending the framework of Geanakoplos (2009) with a generic binomial tree and time-varying heterogeneous beliefs. Optimistic borrowers face rollover risk if the belief dispersion...

This paper analyzes the joint responses of commodity futures prices and traders' futures positions to changes in the VIX before and after the recent financial crisis. We find that while financial traders accommodate the needs of commercial hedgers in normal times, in times of distress, financial...

This paper proposes a welfare criterion for economies in which agents have heterogeneously distorted beliefs. Instead of taking a stand on whose belief is correct, our criterion asserts an allocation to be belief-neutral efficient (inefficient) if it is efficient (inefficient) under any convex...

This paper develops a model to analyze information aggregation in commodity markets. Through centralized trading, commodity prices aggregate dispersed information about the strength of the global economy among goods producers whose production has complementarity, and serve as price signals to...