Granular information and sectoral movements
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.
Authors
- Peixuan Yuan (ORCID: https://orcid.org/0000-0002-7378-514X)
- Sophia Zhengzi Li (ORCID: https://orcid.org/0000-0002-0448-8125)
- Hao Jiang (ORCID: https://orcid.org/0000-0003-1994-2308)
Institutions
- Hong Kong Baptist University (HK)
- Rutgers Sexual and Reproductive Health and Rights (NL)
- Michigan State University (US)
Publication Details
- Journal
- Journal of Economic Dynamics and Control
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1016/j.jedc.2024.105018
- Citations
- 4
- Primary Topic
- Corruption and Economic Development
- Type
- article
- Field-Weighted Citation Impact
- 2.26