A conceptual model of storage behavior is developed. Optimal intertemporal pricing is derived to analyze the effects of transaction costs on storage and arbitrage pricing. It is shown how transaction costs can rationalize the existence of an inverse carrying charge for inventory. The model is...

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...