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

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  • Zuochao Zhang
  • Yongjie Zhang
  • Dehua Shen
  • Wei Zhang

Abstract

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.

Suggested Citation

  • Zuochao Zhang & Yongjie Zhang & Dehua Shen & Wei Zhang, 2018. "The Dynamic Cross-Correlations between Mass Media News, New Media News, and Stock Returns," Complexity, Hindawi, vol. 2018, pages 1-11, February.
    • Handle: RePEc:hin:complx:7619494
    DOI: 10.1155/2018/7619494
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    6. Peng Yue & Yaodong Fan & Jonathan A. Batten & Wei-Xing Zhou, 2020. "Information transfer between stock market sectors: A comparison between the USA and China," Papers 2004.07612, arXiv.org.
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    10. Whelsy Boungou & Francis Osei-Tutu & Amara Zongo & Alhonita Yatié, 2022. "The Ukraine-Russia war and systemic financial stress," Post-Print hal-04745826, HAL.
    11. Whelsy Boungou & Francis Osei-Tutu & Alhonita Yatié & Amara Zongo, 2022. "The Ukraine-Russia war and systemic financial stress," Economics Bulletin, AccessEcon, vol. 42(3), pages 1203-1220.
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    15. Whelsy Boungou & Alhonita Yatié, 2024. "Uncertainty, stock and commodity prices during the Ukraine-Russia war ," Post-Print hal-04746052, HAL.
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