Stock Prices, News and Economic Fluctuations

Working Paper: CEPR ID: DP3844

Authors: Paul Beaudry; Franck Portier

Abstract: A common view in macroeconomics is that business cycles can be meaningfully decomposed into fluctuations driven by demand shocks - which are shocks that have no short- or long-run effects on productivity - and fluctuations driven by unexpected changes in technology. In this Paper we propose a means of evaluating this view and we show that it is strongly at odds with the data. In contrast, we show that the data favours a view of business cycles driven primarily by a shock that does not affect productivity in the short run - therefore it looks like a demand shock - but affects productivity in the long run. The structural interpretation we suggest for this shock is that it represents news about future technological opportunities. We show that this shock explains about 50% of business cycle fluctuations and therefore deserves to be acknowledged and further understood by macroeconomists.

Keywords: business cycle; news; productivity shocks

JEL Codes: E30


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
stock prices (G12)TFP (F16)
news shocks (G14)business cycle fluctuations (E32)
TFP (F16)consumption (E21)
TFP (F16)investment (G31)
expectational changes (D84)business cycles (E32)

Back to index