Stips et al. (2016) use information flows (Liang (2008, 2014)) to establish causality from various forcings to global temperature. We show that the formulas being used hinge on a simplifying assumption that is nearly always rejected by the data. We propose the well-known forecast error variance...

Machine learning predictions are typically interpreted as the sum of contributions of predictors. Yet, each out-of-sample prediction can also be expressed as a linear combination of in-sample values of the predicted variable, with weights corresponding to pairwise proximity scores between...

From a macroeconomic perspective, the short-term interest rate is a policy instrument under the direct control of the central bank. From a finance perspective, long rates are risk-adjusted averages of expected future short rates. Thus, as illustrated by much recent research, a joint...

We develop metrics based on Shapley values for interpreting time-series forecasting models, including "black-box" models from machine learning. Our metrics are model agnostic, so that they are applicable to any model (linear or nonlinear, parametric or nonparametric). Two of the metrics,...

We estimate a model with latent factors that summarize the yield curve (namely, level, slope, and curvature) as well as observable macroeconomic variables (real activity, inflation, and the stance of monetary policy). Our goal is to provide a characterization of the dynamic interactions between...

Policymakers and researchers worry that the low-carbon transition may be inadvertently delayed by higher global interest rates. To examine whether green investment is especially sensitive to interest rate increases, we consider the effect of unanticipated monetary policy changes on the equity...

The extent of future climate change is a policy choice. Using an integrated climate-economy assessment model, we estimate climate policy curves (CPCs) that link the price of carbon dioxide (CO2) to subsequent global temperatures. The resulting downward sloping CPCs quantify the inverse...

The relative equity pricing of more climate-friendly ("green") versus less climate-friendly ("brown") companies is an open question in climate finance. Previous research comes to conflicting conclusions, documenting either a "carbon premium" with brown stocks yielding higher returns, or the...

The Inflation Reduction Act of 2022 (IRA) represents the largest climate policy action ever undertaken in the United States. Its legislative path was marked by two abrupt shifts as the likelihood of climate policy action fell to near zero and then rose to near certainty. We investigate equity...

Previous macro-finance term structure models (MTSMs) imply that macroeconomic state variables are spanned by (i.e., perfectly correlated with) model-implied bond yields. However, this theoretical implication appears inconsistent with regressions showing that much macroeconomic variation is...