We explore the link between international stock market comovement and the degree to which firms operate globally. Using stock returns and balance sheet data for companies in 20 countries, we estimate a factor model that decomposes stock returns into global, country-specific and industry-specific...

We explore the link between international stock market comovement and the degree to which firms operate globally. Using stock returns and balance sheet data for companies in 20 countries, we estimate a factor model that decomposes stock returns into global, country-specific and industry-specific...

We explore the link between international stock market comovement and the degree to which firms operate globally. Using stock returns and balance sheet data for companies in twenty countries, we estimate a factor model that decomposes stock returns into global, country- and industry-specific...

We estimate a model with country- and industry-specific shocks that extends the dummy variable model used in the portfolio diversification literature by relaxing the restriction that all stocks with exposure to a given shock have the same exposure to that shock. We find that: i) This restriction...

An empirical regularity in the portfolio diversification literature is the importance of country effects in explaining international return variation. We develop a new decomposition that disaggregates these country effects into region effects and within-region country effects. We find that half...

A stylized fact in the portfolio diversification literature is that diversifying across countries is more effective than diversifying across industries in terms of risk reduction. But with the rise in comovement across national stock markets since the mid-1990s, this no longer appears to be...

The authors use a dynamic factor model estimated via Bayesian methods to disentangle the relative importance of the common component in the Office of Federal Housing Enterprise Oversight’s house price movements from state- or region-specific shocks, estimated on quarterly state-level data from...

We propose a nonparametric Bayesian approach for conducting inference on probabilistic surveys. We use this approach to study whether U.S. Survey of Professional Forecasters density projections for output growth and inflation are consistent with the noisy rational expectations hypothesis. We...

We develop a two-sector New Keynesian model to analyze the inflationary effects of climate policies. Climate policies do not force a central bank to tolerate higher inflation, but may generate a tradeoff between the central bank's objectives for inflation and real activity. The presence and size...

We document the real-time forecasting performance for output and inflation of the New York Fed dynamic stochastic general equilibrium (DSGE) model since 2011. We find the DSGE's accuracy to be comparable to that of private forecasters before Covid, but somewhat worse thereafter.