Forecasting stock index futures returns with mixed-frequency sentiment
Bin Gao and
Chunpeng Yang
International Review of Economics & Finance, 2017, vol. 49, issue C, 69-83
Abstract:
Using the data in Chinese financial market, mixed-frequency stock index futures sentiment and mixed-frequency stock index sentiment are constructed according to MIDAS model. We test whether mixed-frequency stock index futures sentiment and mixed-frequency stock index sentiment have predictive power on stock index futures returns. The empirical results show that mixed-frequency stock index futures sentiment factors have more predictive power than mixed-frequency stock index sentiment factors and Fama-French three factors. In out-sample forecast, we show that sentiment trading strategy provides a more positive returns than time series momentum trading strategy and passive long positions.
Keywords: Stock index futures sentiment; Stock index sentiment; Mixed-frequency; MIDAS model (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1059056017300588
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:49:y:2017:i:c:p:69-83
DOI: 10.1016/j.iref.2017.01.020
Access Statistics for this article
International Review of Economics & Finance is currently edited by H. Beladi and C. Chen
More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().