Abstract
This paper examines the predictive performance of two representative agent models of earnings momentum using the US S & P 500 sample frame in the years 1991-2006. For successive sequences of quarterly earnings outcomes over a three year horizon of quarterly increases/decreases, etc. we ask whether these models can capture the likelihood of reversion and, secondly, the stock market response to observed quarterly earnings change sequences for our chosen sample. We find evidence of a far greater frequency of persistent quarterly earnings rises and hence a more muted reaction to their occurrence. Persistent losses are both far less common and more salient in their impact on stock prices.
Original language | English |
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Pages (from-to) | 473-492 |
Journal | Review of Quantitative Finance and Accounting |
Volume | 44 |
Issue number | 3 |
Early online date | 08 Nov 2013 |
DOIs | |
Publication status | Published - Apr 2015 |
Keywords
- Earnings momentum
- Law of small numbers
- Bayesian inference
- G14
- M4
- G11