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The Relation Between Relative Order Imbalance and Intraday Futures Returns: An Application of the Quantile Regression Model to Taiwan

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Listed:
  • Chiao Yi Chang
  • Fu Shuen Shie

Abstract

Adopting the quantile regression model, this paper describes the positive relation between relative order imbalance and intraday futures returns. The positive connection is relatively stronger for lower quantiles of intraday futures returns than for higher quantiles. However, the connection vanishes within 30 minutes. The results reflect the compensation of the uncertainty and the absence of liquidity for relatively lower returns in the Taiwan futures market. Furthermore, this paper finds evidence supporting an L-shaped pattern for intraday futures returns.

Suggested Citation

  • Chiao Yi Chang & Fu Shuen Shie, 2011. "The Relation Between Relative Order Imbalance and Intraday Futures Returns: An Application of the Quantile Regression Model to Taiwan," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(3), pages 69-87, May.
    • Handle: RePEc:mes:emfitr:v:47:y:2011:i:3:p:69-87
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    Citations

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    Cited by:

    1. Han, Heejoon & Linton, Oliver & Oka, Tatsushi & Whang, Yoon-Jae, 2016. "The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series," Journal of Econometrics, Elsevier, vol. 193(1), pages 251-270.
    2. Muzhao Jin & Fearghal Kearney & Youwei Li & Yung Chiang Yang, 2023. "Order book price impact in the Chinese soybean futures market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 606-625, January.
    3. Katarzyna Bień-Barkowska, 2014. "Capturing Order Book Dynamics in the Interbank EUR/PLN Spot Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(1), pages 93-117, January.
    4. Aviral Kumar Tiwari & Muhammad Shahbaz & Rabeh Khalfaoui & Rizwan Ahmed & Shawkat Hammoudeh, 2024. "Directional predictability from energy markets to exchange rates and stock markets in the emerging market countries (E7 + 1): New evidence from cross‐quantilogram approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 719-789, January.
    5. Jongho Kang & Jangkoo Kang & Jaeram Lee, 2022. "Who and what drives informed options trading after the market opens?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 338-364, March.
    6. Michael Weigerding & Michael Hanke, 2018. "Drivers of seasonal return patterns in German stocks," Business Research, Springer;German Academic Association for Business Research, vol. 11(1), pages 173-196, February.
    7. Zheng, Yingfei & Shen, Anran & Li, Ruihai & Yang, Yuhong & Wang, Shengjin & Cheng, Lee-Young, 2023. "Spillover effects between internet financial industry and traditional financial industry: Evidence from the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    8. Atilgan, Yigit & Demirtas, K. Ozgur & Simsek, Koray D., 2016. "Derivative markets in emerging economies: A survey," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 88-102.

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