Abstract
This paper shows a strong link between the granular information contained in individual stock prices and sectoral movements. We find that a predictor aggregating the price movements of a broad cross section of individual stocks predicts intraday returns of sector ETF. When we further incorporate the information from structural models, the resulting information signal has even stronger return predictability. These results support theories of granular and network origins of aggregate shocks.
Original language | English |
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Article number | 105018 |
Number of pages | 18 |
Journal | Journal of Economic Dynamics and Control |
Volume | 171 |
DOIs | |
Publication status | Published - Feb 2025 |
Scopus Subject Areas
- Economics and Econometrics
- Control and Optimization
- Applied Mathematics
User-Defined Keywords
- Exchange-traded funds
- Granular information
- Sectoral movements