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Call and Continuous Trading Mechanisms under Asymmetric Information: An Experimental Investigation

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  • Schnitzlein, Charles R

Abstract

The author examines the relative performance of call and continuous auctions under asymmetric information by manipulating trading rules and information sets in laboratory asset markets. He finds significant differences in an environment that extends the A. S. Kyle (1985) framework to permit the exogenous liquidity trading motive to have a natural economic interpretation. The adverse selection costs incurred by noise traders are significantly lower under the call auction, despite no significant reduction in average price efficiency. This result suggests that discussions of the costs and benefits of insider trading should take place within the context of a specific trading mechanism. Copyright 1996 by American Finance Association.

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  • Schnitzlein, Charles R, 1996. " Call and Continuous Trading Mechanisms under Asymmetric Information: An Experimental Investigation," Journal of Finance, American Finance Association, vol. 51(2), pages 613-636, June.
  • Handle: RePEc:bla:jfinan:v:51:y:1996:i:2:p:613-36
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    6. J. P. Krahnen & C. Rieck & E. Theissen, 1999. "Insider trading and portfolio structure in experimental asset markets with a long-lived asset," The European Journal of Finance, Taylor & Francis Journals, vol. 5(1), pages 29-50.
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    9. Rosita P. Chang & Shuh-Tzy Hsu & Nai-Kuan Huang & S. Ghon Rhee, 1999. "The Effects of Trading Methods on Volatility and Liquidity: Evidence from the Taiwan Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(1-2), pages 137-170.
    10. Flood, M.D. & Koedijk, C.G. & van Dijk, M.A. & van Leeuwen, I.W., 2002. "Dividing the Pie," ERIM Report Series Research in Management ERS-2002-101-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    11. David Abad & Roberto Pascual, 2010. "Switching To A Temporary Call Auction In Times Of High Uncertainty," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(1), pages 45-75.
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    15. Chang, Rosita P. & Rhee, S. Ghon & Stone, Gregory R. & Tang, Ning, 2008. "How does the call market method affect price efficiency? Evidence from the Singapore Stock Market," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2205-2219, October.
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    21. Oehler, Andreas & Unser, Matthias, 1998. "Market Transparency and Call Markets," Discussion Papers 6, University of Bamberg, Chair of Finance.
    22. Yu Chuan Huang, 2004. "The components of bid‐ask spread and their determinants: TAIFEX versus SGX‐DT," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(9), pages 835-860, September.
    23. Philipp Hornung & Ulrike Leopold-Wildburger & Roland Mestel & Stefan Palan, 2015. "Insider behavior under different market structures: experimental evidence on trading patterns, manipulation, and profitability," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 357-373, June.
    24. Majois, Christophe, 2010. "Order aggressiveness and the diagonal effect in experimental double auction markets," Economics Letters, Elsevier, vol. 107(2), pages 304-309, May.

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