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Order price clustering, size clustering, and stock price movements: Evidence from the Taiwan Stock Exchange

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  • Lien, Donald
  • Hung, Pi-Hsia
  • Hung, I-Chun

Abstract

This paper examines order price clustering, size clustering, and stock price movements in an active emerging country’s equities market, the Taiwan Stock Exchange (TWSE). We first explore the relationships between investor types and order price/size clustering. Next, we investigate the joint determinants of the round-price and round-size orders based on daily and intraday data analyses. Finally, we look at the relationships among investor types, round prices/sizes, and stock price movements. The findings reveal that all investor types exhibit price and size clustering phenomena. After controlling for other factors, institutional investors have a relatively lower level of size clustering when compared with individuals. Our results confirm the price resolution hypothesis, whereby the levels of daily price and size clustering increase with firm risk, and the probability of a round-price or round-size order increases as transitory volatility rises. Partially consistent with the negotiation hypothesis, the probability of a round-price or round-size order increases when order competition turns fiercer. Mutual funds exhibit stronger quarter-end and session-end effects than do other investors. We also detect strategic trading behaviors, showing that the probability of an order with a tail price of one (nine) increases when buy (sell) order competition is fiercer. Lastly, stocks with mutual funds’ round-price or round-size buy (sell) orders experience rising (falling) future stock returns.

Suggested Citation

  • Lien, Donald & Hung, Pi-Hsia & Hung, I-Chun, 2019. "Order price clustering, size clustering, and stock price movements: Evidence from the Taiwan Stock Exchange," Journal of Empirical Finance, Elsevier, vol. 52(C), pages 149-177.
  • Handle: RePEc:eee:empfin:v:52:y:2019:i:c:p:149-177
    DOI: 10.1016/j.jempfin.2019.03.005
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    Citations

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    Cited by:

    1. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
    2. Lien, Donald & Hung, Pi-Hsia & Lo, Hsiang-Yu, 2022. "Order Choices: An Intraday Analysis of the Taiwan Stock Exchange," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    3. Wang, Yaqi & Wang, Chunfeng & Sensoy, Ahmet & Yao, Shouyu & Cheng, Feiyang, 2022. "Can investors’ informed trading predict cryptocurrency returns? Evidence from machine learning," Research in International Business and Finance, Elsevier, vol. 62(C).
    4. Donald Lien & Pi-Hsia Hung & Chiu-Ting Pan, 2020. "Price limit changes, order decisions, and stock price movements: an empirical analysis of the Taiwan Stock Exchange," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 239-268, July.
    5. Donald Lien & Pi-Hsia Hung, 2023. "Whose trades contribute more to price discovery? Evidence from the Taiwan stock exchange," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 213-263, July.
    6. Chiou, Calvin J. & Zhou, Xiaozhou & Chan, Chang, 2022. "A taxonomy of individual liquidity provision: Evidence from the Taiwan stock exchange," Finance Research Letters, Elsevier, vol. 50(C).

    More about this item

    Keywords

    Investment performance; Market status; Round price; Round size; Trading strategy;
    All these keywords.

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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