We study the economic sources of stock-bond return comovement and its time variation using a dynamic factor model. We identify the economic factors employing structural and non-structural vector autoregressive models for economic state variables such as interest rates, (expected) inflation,...

We study the economic sources of stock-bond return comovement and its time variation using a dynamic factor model. We identify the economic factors employing structural and non-structural vector autoregressive models for economic state variables such as interest rates, (expected) inflation,...

We study the economic sources of stock-bond return comovement and its time variation using a dynamic factor model. We identify the economic factors employing structural and non-structural vector autoregressive models for economic state variables such as interest rates, (expected) inflation,...

Despite a large and growing theoretical literature on flights to safety, there does not appear to exist an empirical characterization of flight-to-safety (FTS) episodes. Using only data on bond and stock returns, we identify and characterize flight to safety episodes for 23 countries. On...

We identify flight-to-safety (FTS) days for 23 countries using only stock and bond returns and a model averaging approach. FTS days comprise less than 2% of the sample, and are associated with a 2.7% average bond-equity return differential and significant flows out of equity funds and into...

We identify flight-to-safety (FTS) days for 23 countries using only stock and bond returns and a model averaging approach. FTS days comprise less than 2% of the sample, and are associated with a 2.7% average bond-equity return differential and significant flows out of equity funds and into...

We identify flight-to-safety (FTS) days for 23 countries using only stock and bond returns and a model averaging approach. FTS days comprise less than 2% of the sample, and are associated with a 2.7% average bond-equity return differential and significant flows out of equity funds and into...

We use non-Gaussian features in U.S. macroeconomic data to identify aggregate supply and demand shocks while imposing minimal economic assumptions. Macro risks represent the variables that govern the time-varying variance, skewness and higher-order moments of these two shocks, with "good"...

We use non-Gaussian features in U.S. macroeconomic data to identify aggregate supply and demand shocks while imposing minimal economic assumptions. Recessions in the 1970s and 1980s were driven primarily by supply shocks; later recessions by demand shocks. We estimate macro risk factors that...