Revisions of consensus forecasts of macroeconomic variables positively predict announcement day forecast errors, whereas stock market returns on forecast revision days negatively predict announcement day returns. A dynamic noisy rational expectations model with periodic macroeconomic...

We use machine learning to predict stock returns at forward horizons from 1 month ahead to 120 months ahead. Stock return predictability declines with the forecast horizon; it follows an asymptotic exponential decay process consisting of a permanent component (c. 20 bp/month) and a transient...

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...

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...

We summarize the general combination approach by Billio et al. [2010]. In the combination model the weights follow logistic auto-regressive processes, change over time and their dynamics are possible driven by the past forecasting performances of the predictive densities. For illustrative...

This paper examines the out‐of‐sample forecast performance of sectoral stock market indicators for real GDP, private consumption and investment growth up to 4 quarters ahead in the US and the Euro Area. Our findings are that the predictive content of sectoral stock market indicators: i) is...

Financial bubble theories emphasize the importance of behavioral mechanisms cen- tered around investor beliefs, which can be potentially gleaned from prevailing nar- ratives, that reflect investors’ psychological states and link them to economic events. By summarizing market narratives into...

This paper examines the out-of-sample forecast performance of sectoral stock market indicators for real GDP, private consumption and investment growth up to 4 quarters ahead in the US and the euro area. Our findings are that the predictive content of sectoral stock market indicators: i) is...

We summarize the general combination approach by Billio et al. [2010]. In the combination model the weights follow logistic autoregressive processes, change over time and their dynamics are possible driven by the past forecasting performances of the predictive densities. For illustrative...