Central banks

Travis D. NesmithRisk was first incorporated into monetary aggregation over thirty-five years ago, using a stochastic version of the workhorse money-in-the-utility-function model. Nevertheless, the mathematical foundations of this stochastic model remain shaky. To firm the foundations, this paper employs a slightly richer probability concept than standard Borel-measurability, which enables me to prove the existence of a well-behaved solution and to derive stochastic Euler equations.

Carol Bertaut, Stephanie E. Curcuru, Ester Faia, Pierre-Olivier GourinchasThe allocative efficiency of capital flows is one of the oldest and most contentious questions. We answer it by matching cross-border securities holdings reported in the US external statistics from 1995 to 2022 with the corresponding firm-level measures of allocative efficiency.

Dan Li, Phillip J. Monin, and Lubomir PetrasekConstraints on the supply of credit by prime brokers affect hedge funds' leverage and performance. Using dealer surveys and hedge fund regulatory filings, we identify individual funds' credit supply from the availability of credit under agreements currently in place between a hedge fund and its prime brokers.

This paper demonstrates that empirically grounding the discount factor significantly influences the determination of the carbon price. Using two complementary nonlinear statistical approaches, we assess which utility formulations and corresponding stochastic discount factors best align with U.S. data. We provide evidence that habit formation is essential for capturing the time variation in the stochastic discount factor necessary to match the data. This increased time variation raises the carbon price by 32% and makes it five times more procyclical compared to standard models.