We investigate the role of "noise" shocks as a source of business cycle fl uctuations. To do so we set up a simple model of imperfect information and derive restrictions for identifying the noise shock in a VAR model. The novelty of our approach is that identification is reached by means of...

We introduce noisy information into a standard present value stock price model. Agents receive a noisy signal about the structural shock driving future dividend variations. The resulting equilibrium stock price includes a transitory component — the "noise bubble" — which can be responsible...

We identify government spending news and surprise shocks using a novel identification based on the Survey of Professional Forecasters. News shocks lead to an increase of the interest rate, a real appreciation of US dollar and a worsening of the trade balance. The opposite is found for the...

This paper uses a structural, large dimensional factor model to evaluate the role of 'news' shocks (shocks with a delayed effect on productivity) in generating the business cycle. We find that (i) existing small-scale VECM models are affected by 'non-fundamentalness' and therefore fail to...

This paper uses a structural, large dimensional factor model to evaluate the role of `news' shocks (shocks with a delayed effect on productivity) in generating the business cycle. We find that (i) existing small-scale VECM models are affected by `non-fundamentalness' and therefore fail to...

Can discretionary increases in government spending stimulate the economy? We answer this question by taking into account both the information flow on fiscal measures and the role played by information frictions. Using a novel set of empirical proxies for fiscal news and agents’ misperceptions,...

We investigate the effects of fiscal policy communication on the propagation of government spending shocks. To this aim, we propose a new index measuring the coordination effects of policy communication on private agents' expectations. This index is based on the disagreement amongst US...

We evaluate the role of financial conditions as predictors of macroeconomic risk first in the quantile regression framework of Adrian et al. (2019b), which allows for non-linearities, and then in a novel linear semi-structural model as proposed by Hasenzagl et al. (2018). We distinguish between...