The Dynamic Cross-Correlations between Mass Media News, New Media News, and Stock Returns

Joint Authors

Zhang, Wei
Shen, Dehua
Zhang, Zuochao
Zhang, Yongjie

Source

Complexity

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-02-26

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Philosophy

Abstract EN

We investigate the dynamic cross-correlations between mass media news, new media news, and stock returns for the SSE 50 Index in Chinese stock market by employing the MF-DCCA method.

The empirical results show that (1) there exist power-law cross-correlations between two types of news as well as between news and its corresponding SSE 50 Index return; (2) the cross-correlations between mass media news and SSE 50 Index returns show larger multifractality and more complicated structures; (3) mass media news and new media news have both complementary and competitive relationships; (4) with the rolling window analysis, we further find that there is a general increasing trend for the cross-correlations between the two types of news as well as the cross-correlations between news and returns and this trend becomes more persistent over time.

American Psychological Association (APA)

Zhang, Zuochao& Zhang, Yongjie& Shen, Dehua& Zhang, Wei. 2018. The Dynamic Cross-Correlations between Mass Media News, New Media News, and Stock Returns. Complexity،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1135883

Modern Language Association (MLA)

Zhang, Zuochao…[et al.]. The Dynamic Cross-Correlations between Mass Media News, New Media News, and Stock Returns. Complexity No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1135883

American Medical Association (AMA)

Zhang, Zuochao& Zhang, Yongjie& Shen, Dehua& Zhang, Wei. The Dynamic Cross-Correlations between Mass Media News, New Media News, and Stock Returns. Complexity. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1135883

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1135883