How to make forecasts that (1) satisfy constraints, like accounting identities, and (2) are smooth over time? Solving this common forecasting problem manually is resource-intensive, but the existing literature provides little guidance on how to achieve both objectives. This paper proposes a new...

This paper proposes a novel shrinkage estimator for high-dimensional covariance matrices by extending the Oracle Approximating Shrinkage (OAS) of Chen et al. (2009) to target the diagonal elements of the sample covariance matrix. We derive the closed-form solution of the shrinkage parameter and...

This paper explores the feasibility of an idea proposed first by the German Council of Economic Experts in 2011 and revisited by Italian and French authorities in 2021: the one-off mutualization of some European legacy debt through the creation of a European Debt Management Agency (EDMA). The...

Minimum trace reconciliation, developed by Wickramasuriya et. al. (2019), is an innovation in the literature of forecast reconciliation. The proof, however, is indirect and not easy to extend to more general situations. This paper provides an alternative proof based on the first-order condition...

This paper assembles a comprehensive sovereign green bond database and estimates the sovereign greenium. The development of green bond markets has been one of the most important financial breakthroughs in the domain of sustainable finance during the last 15 years. A central benefit associated...

Forecasting a macroframework, which consists of many macroeconomic variables and accounting identities, is widely conducted in the policy arena to present an economic narrative and check its consistency. Such forecasting, however, is challenging because forecasters should extend limited...