Order price clustering, size clustering, and stock price movements: Evidence from the Taiwan Stock Exchange
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Abstract
Suggested Citation
DOI: 10.1016/j.jempfin.2019.03.005
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Citations
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Cited by:
- Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
- 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).
- 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).
- 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.
- 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.
- 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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