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Price Gap Anomaly: Empirical Study of Opening Price Gaps and Price Disparities in Chinese Stock Indices

Author

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  • Yuancheng Si

    (Fudan University)

  • Saralees Nadarajah

    (University of Manchester)

Abstract

In this study, we employ statistical analysis, hypothesis testing, and regression models to investigate the characteristics of opening price gap rates and price gaps in the stock market indices of Mainland China, utilizing historical data. To clarify, while both ’opening price gap rate’ and ’price gaps’ are central to our analysis, they represent distinct concepts. The opening price gap rate refers to the rate at which a stock’s opening price differs from its previous closing price, indicating initial market sentiment and potential momentum for the trading day. In contrast, price gaps, as defined in technical analysis, are specific chart patterns formed by two adjacent candlesticks on consecutive trading days. These patterns are characterized either by one candlestick’s low being higher than the following day’s high, or one candlestick’s high being lower than the following day’s low, creating a "blank" area on the price chart. This signifies a price range with no trading activity and is a crucial indicator of market sentiment and potential directional moves. Our study tested and validated thirteen related hypotheses. The findings reveal a significant correlation between the directionality of price gaps and the fluctuations in opening price gap rates, highlighting key characteristics of the market. Notably, price gaps significantly impact daily changes in trading volume and turnover. Furthermore, we validated the efficacy of the opening price gap rate as a stock-picking factor through back-testing. This research offers a new perspective for understanding stock market behaviors and has considerable implications for investment decisions and market analysis.

Suggested Citation

  • Yuancheng Si & Saralees Nadarajah, 2025. "Price Gap Anomaly: Empirical Study of Opening Price Gaps and Price Disparities in Chinese Stock Indices," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 32(2), pages 525-561, June.
  • Handle: RePEc:kap:apfinm:v:32:y:2025:i:2:d:10.1007_s10690-024-09461-y
    DOI: 10.1007/s10690-024-09461-y
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    References listed on IDEAS

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    1. Ho, Hsiao-Wei & Hsiao, Yu-Jen & Lo, Wen-Chi & Yang, Nien-Tzu, 2023. "Momentum investing and a tale of intraday and overnight returns: Evidence from Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    2. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    3. Lixu Chi & Xintian Zhuang & Dalei Song, 2012. "Investor sentiment in the Chinese stock market: an empirical analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 19(4), pages 345-348, March.
    4. Yuancheng Si & Saralees Nadarajah & Zongxin Zhang & Chunmin Xu, 2024. "Modeling opening price spread of Shanghai Composite Index based on ARIMA-GRU/LSTM hybrid model," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-19, March.
    5. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2020. "Price gap anomaly in the US stock market: The whole story," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    6. Zhang, Hang & Tsai, Wei-Che & Weng, Pei-Shih & Tsai, Pin-Chieh, 2023. "Overnight returns and investor sentiment: Further evidence from the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    7. Su, Zhifang & Bao, Haohua & Li, Qifang & Xu, Boyu & Cui, Xin, 2022. "The prediction of price gap anomaly in Chinese stock market: Evidence from the dependent functional logit model," Finance Research Letters, Elsevier, vol. 47(PB).
    8. Aboody, David & Even-Tov, Omri & Lehavy, Reuven & Trueman, Brett, 2018. "Overnight Returns and Firm-Specific Investor Sentiment," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(2), pages 485-505, April.
    9. Jiang, George J. & Zhu, Kevin X., 2017. "Information Shocks and Short-Term Market Underreaction," Journal of Financial Economics, Elsevier, vol. 124(1), pages 43-64.
    10. Paul C. Tetlock, 2010. "Does Public Financial News Resolve Asymmetric Information?," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3520-3557.
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