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Search Costs and Investor Trading Activity: Evidence from Limit Order Books

Author

Listed:
  • William T. Lin
  • Shih-Chuan Tsai
  • David S. Sun

Abstract

In this study, we analyze investor trading behavior based not on information-related assumptions but on the search model of Vayanos and Wang (2007). Our study shows that search cost dictates trading polarization across investors, firm size, and time of day. We find that individual investors prefer to trade at market open, while institutional investors trade more heavily near market close. Trading costs indicate that it is less costly for institutional investors to trade large cap stocks at market close than at open. Search cost is related significantly to order-based market liquidity measures depending on time of day, market capitalizations, and investor type.

Suggested Citation

  • William T. Lin & Shih-Chuan Tsai & David S. Sun, 2012. "Search Costs and Investor Trading Activity: Evidence from Limit Order Books," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(3), pages 4-30, May.
    • Handle: RePEc:mes:emfitr:v:48:y:2012:i:3:p:4-30
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    Cited by:

    1. 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).
    2. Chu, Gang & Zhang, Yongjie & Zhang, Xiaotao, 2021. "An analysis of impact of cancellation activity on market quality: Evidence from China," Economic Modelling, Elsevier, vol. 102(C).
    3. Lin, William & Sun, David & Tsai, Shih-Chuan, 2010. "Does trading remove or bring frictions?," MPRA Paper 37285, University Library of Munich, Germany, revised Jan 2011.
    4. Rajesh Mohnot, 2020. "Examining Granger Causality in the Behavioral Reactions of Institutional Investors— Evidence from India," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(04), pages 1-21, January.
    5. Hsieh, Shu-Fan & Chan, Chia-Ying & Wang, Ming-Chun, 2020. "Retail investor attention and herding behavior," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 109-132.

    More about this item

    Keywords

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    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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