Abstract
Analyst recommendations convey valuable market-wide information which implies analyst rating should generate reliable predictability for future market returns. This paper examines the predictive regressions which forecast the S&P 500 index futures return and volatility with lagged text-based analyst rating index (TAR index). Empirical evidence shows that the TAR index generates superior in-sample predictability. This substantial predictability remains after controlling the business cycles, macroeconomic factors, and economic conditions. Also, the TAR index outperforms the prevailing mean out-of-sample and generates significant economic performance. Notably, the TAR index also delivers consistent predictive gains on the volatility of index futures returns.
| Original language | English |
|---|---|
| Pages (from-to) | 2084-2100 |
| Number of pages | 17 |
| Journal | Journal of Futures Markets |
| Volume | 42 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 2022 |
Keywords
- analyst rating
- index futures return predictability
- text-based sentiment
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