We model the complex global dependencies in international financial markets using spatial techniques. Our methodology allows us to go beyond conventional correlation analyses and volatility-spillover models confined to studying pairwise relationships, and improves the accuracy of return...

This paper introduces a new approach to modelling the conditional variance in a multivariate setting. It is essentially a combination of the popular GARCH model class with a spatial component, inspired by generalized space-time models. The resulting spatial GARCH model takes into account both...

We argue that capital misallocation arises endogenously due to incomplete consumption insurance. We model risk-averse entrepreneurs with heterogeneous productivity who face idiosyncratic output shocks and choose how much capital to rent before uncertainty unfolds. We show that incomplete markets...