The literature documents a heterogeneous asset price response to macroeconomic news announcements. We relate this heterogeneity to a novel measure of the intrinsic value of an announcement --- the announcement's ability to nowcast GDP growth, inflation, and the federal funds target rate --- and...

We study the impact that macroeconomic news has on equity prices. While the literature has already widely documented the effects of macroeconomic announcements on asset prices, as well as their asymmetric impact during good and bad times, we focus on the reaction to news when the description of...

The literature documents a heterogeneous asset price response to macroeconomic news announcements. We explain this variation with a novel measure of the intrinsic value of an announcement - the announcement's ability to nowcast GDP growth, inflation, and the Federal Funds Target Rate - and...

While the literature has already widely documented the effects of macroeconomic news announcements on asset prices, as well as their asymmetric impact during good and bad times, we focus on the reaction to news based on the description of the state of the economy as painted by the Federal Open...

We show that updates to macroeconomic expectations among professional forecasters exhibit an offsetting pattern where increases in current-quarter predictions lead to decreases in three quarter ahead predictions. We further document evidence of individual overreaction at the quarterly frequency...

The stock market is a highly complex non-linear and chaotic system that is influenced by political, economic and psychological factors. Therefore, it seems very difficult to check this system. More scientific studies with an emphasis on the accurate identification of stock price behavior led to...

A long tradition in macro finance studies the joint dynamics of aggregate stock returns and dividends using vector autoregressions (VARs), imposing the cross-equation restrictions implied by the Campbell-Shiller (CS) identity to sharpen inference. We take a Bayesian perspective and develop...

Using a recently introduced method to quantify the time varying lead-lag dependencies between pairs of economic time series (the thermal optimal path method), we test two fundamental tenets of the theory of fixed income: (i) the stock market variations and the yield changes should be...

This paper contributes to the debate of whether central banks can \lean against the wind" of emerging stock or house price bubbles. Against this background, the paper evaluates if new advances in real-time bubble detection, as brought forward by Phillips et al. (2011), can timely detect bubble...

We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectation-formation process in the U.S. stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time...