We propose and implement a procedure to optimally hedge climate change risk. First, we construct climate risk indices through textual analysis of newspapers. Second, we present a new approach to compute factor mimicking portfolios to build climate risk hedge portfolios. The new mimicking...

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...

Stock momentum, long-term reversal, and other past return characteristics that predict future returns also predict future realized betas, suggesting these characteristics capture time-varying risk compensation. We formalize this argument with a conditional factor pricing model. Using...

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...