Many econophysics applications have modeled financial systems as if they were pure physical systems devoid of human limitations and errors. On the other hand, traditional financial theory has ignored limits that physics would impose on human interactions, communications, and computational...

This article summarizes empirical research on the interaction between monetary policy and asset markets, and reviews our previous theoretical work that captures these interactions. We present a concise model in which monetary policy impacts the aggregate asset price, which in turn influences...

A large literature uses high-frequency changes in interest rates around FOMC announcements to study monetary policy. These yield changes have puzzlingly low explanatory power for the stock market - even in a narrow 30-minute window. We propose a new approach to test whether the unexplained...

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...

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...

This paper presents an equilibrium model that provides a rational explanation for two features of data that have been considered puzzling: The positive relation between US dividend yields and nominal interest rates, often called the Fed-model, and the time-varying correlation of US stock and...

We apply causality extraction (CE) algorithms on more than 36,000 articles from 2 major financial newspapers (WSJ, FT) and three major newswires (DJ, MNI Market News, Reuters) over the extended period 1980-2020 to shed light on the fundamental triggers of flights to safety. Our CE algorithm...

In this paper, we provide evidence on the response of stock market returns to monetary policy shocks but condition the analysis on both the direction of monetary policy surprises and business conditions. We follow a two-step approach: First, we use an structural vector autoregressive (SVAR)...

We construct a slope factor from changes in federal funds futures of different horizons. A positive slope signals faster monetary policy tightening and predicts negative excess returns at the weekly frequency. Investors can achieve increases in weekly Sharpe ratios of 20% conditioning on the...

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...