
handle: 2027/coo.31924100652621
Using data on corporate profits forecasts from the Survey of Professional Forecasters, I decompose real stock returns into a fundamental news component and a return news component and analyze the effects of the Great Moderation on each. Empirically, the response of each component of real stock returns to the Great Moderation has been quite different. The volatility of fundamental news shocks has declined by 50% since the onset of the Great Moderation, suggesting a strong link between underlying fundamentals and the broader macroeconomy. Alternatively, the volatility of return news shocks has remained stable over the Great Moderation period. Since the bulk of stock market volatility is attributable to return shocks, the Great Moderation has not had a significant effect on stock return volatility. These empirical findings are shown to be consistent with Campbell and Cochrane's (1999) habit formation asset pricing model. In the face of a large decline in consumption volatility, the volatility of fundamental news shocks declines while the volatility of return shocks stagnate. Ultimately, the effect of a Great Moderation in consumption volatility on overall stock return volatility in the habit formation model is slight.
Stock - Prices ; Stock market
Stock - Prices ; Stock market
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
