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Dynamic network and own effects on abnormal returns: evidence from China’s stock market

Author

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  • Peter H. Egger

    (ETH Zurich
    CEPR
    CESifo)

  • Jiaqing Zhu

    (Guangdong University of Foreign Studies)

Abstract

This paper addresses the question of how to model the process of abnormal returns on individual stocks. It postulates a framework, where abnormal returns are generated by a process which features two autoregressive components, one stock-specific and one related to network effects. This process deviates from customary ones in that the parameters are specific to each stock/firm, that the autoregressive process is explicitly modelled instead of using cumulative abnormal returns over a pre-specified window, and that network effects are present. Abandoning either one of those deviations is rejected by data on Chinese stocks in 2018 and 2019, an episode which is significant for an abnormal stock-market returns analysis, as it was characterized by numerous tariff-setting events related to the “trade war” between the USA and China.

Suggested Citation

  • Peter H. Egger & Jiaqing Zhu, 2021. "Dynamic network and own effects on abnormal returns: evidence from China’s stock market," Empirical Economics, Springer, vol. 60(1), pages 487-512, January.
    • Handle: RePEc:spr:empeco:v:60:y:2021:i:1:d:10.1007_s00181-020-01979-0
    DOI: 10.1007/s00181-020-01979-0
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    Cited by:

    1. Qi Li & Vasilis Sarafidis & Joakim Westerlund, 2021. "Essays in honor of Professor Badi H Baltagi," Empirical Economics, Springer, vol. 60(1), pages 1-11, January.
    2. Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.
    3. Peter H. Egger & Jiaqing Zhu, 2022. "How COVID‐19 travels in‐ and outside of value chains and then affects the stock market: Evidence from China," The World Economy, Wiley Blackwell, vol. 45(2), pages 523-538, February.
    4. Tingting Lan & Liuguo Shao & Hua Zhang & Caijun Yuan, 2023. "The impact of pandemic on dynamic volatility spillover network of international stock markets," Empirical Economics, Springer, vol. 65(5), pages 2115-2144, November.

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    More about this item

    Keywords

    Cumulative abnormal returns; Listed firms; Spillovers; Spatial and network models; Panel models;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F15 - International Economics - - Trade - - - Economic Integration
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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