Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
4-2022
Abstract
We show that order flows do not exhibit predictive power on asset returns, and their relationships have been static over time. We use a reduced-rank regression formulation to model both returns and the order flows as endogenous variables, and use investors' sentiment and attention as exogenous factors. We provide empiricalevidence to demonstrate that cross-sectional commonality in attention (sentiment) is linearly (nonlinearly) associated with both returns and order flows at the intraday level, while the sentiment and attentionmeasures themselves exhibit a nonlinear mutual relationship, thus revealing the multi-dimensional aspect of the commonality relationship.
Keywords
commonality, return and order flow measures, co-movement, market sentiment, investor attention, principal component analyses, canonical correlation analyses, reduced rank regression, quantitative trading strategies.
Discipline
Finance | Finance and Financial Management
Research Areas
Finance
Publication
Proceedings of the 65th Meeting Euro Working Group for Commodities and Financial Modelling, New York, 2022 April 28-30
First Page
1
Last Page
76
Identifier
https://www.hofstra.edu/sites/default/files/2022-05/advances-since-financial-crisis-conference.pdf
City or Country
New York
Citation
TEE, Chyng Wen; VELU, Raja; and ZHOU, Zhaoque.
Why commonality persists?. (2022). Proceedings of the 65th Meeting Euro Working Group for Commodities and Financial Modelling, New York, 2022 April 28-30. 1-76.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/7096
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
External URL
https://www.hofstra.edu/sites/default/files/2022-05/advances-since-financial-crisis-conference.pdf