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Price discovery and gains from trade in asset markets with insider trading

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  • Tobias Brünner
  • René Levínský

Abstract

The present study contributes to the ongoing debate on possible costs and benefits of insider trading. We present a novel call auction model with insider information. Our model predicts that more insider information improves informational efficiency of prices, but this comes at the expense of reduced gains from trade. Testing these hypotheses in the lab, we find that insider information increases informational efficiency of call auction prices but does not decrease the realized gains from trade. We further find that the call auction does not perform worse than the continuous double auction. In fact, when the probability of insider information is high, the call auction has the most informative prices and highest realized gains from trade. Our experiment provides new evidence, from markets with very asymmetrically dispersed information, that lends support to the decision by many stock exchanges to use call auctions when information asymmetries are severe and the need for accurate prices is large, e.g. at the open or close of the trading day.

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  • Tobias Brünner & René Levínský, 2023. "Price discovery and gains from trade in asset markets with insider trading," The European Journal of Finance, Taylor & Francis Journals, vol. 29(3), pages 255-277, February.
    • Handle: RePEc:taf:eurjfi:v:29:y:2023:i:3:p:255-277
    DOI: 10.1080/1351847X.2022.2032241
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    1. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    2. Pouget, Sebastien, 2007. "Financial market design and bounded rationality: An experiment," Journal of Financial Markets, Elsevier, vol. 10(3), pages 287-317, August.
    3. repec:bla:jfinan:v:59:y:2004:i:3:p:969-998 is not listed on IDEAS
    4. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
    5. Kagel, John H & Levin, Dan, 1993. "Independent Private Value Auctions: Bidder Behaviour in First-, Second- and Third-Price Auctions with Varying Numbers of Bidders," Economic Journal, Royal Economic Society, vol. 103(419), pages 868-879, July.
    6. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    7. Timothy N. Cason & Daniel Friedman, 1997. "Price Formation in Single Call Markets," Econometrica, Econometric Society, vol. 65(2), pages 311-346, March.
    8. Charles R. Plott & Kirill Pogorelskiy, 2017. "Call Market Experiments: Efficiency and Price Discovery through Multiple Calls and Emergent Newton Adjustments," American Economic Journal: Microeconomics, American Economic Association, vol. 9(4), pages 1-41, November.
    9. Diamond, Douglas W & Verrecchia, Robert E, 1991. "Disclosure, Liquidity, and the Cost of Capital," Journal of Finance, American Finance Association, vol. 46(4), pages 1325-1359, September.
    10. Leland, Hayne E, 1992. "Insider Trading: Should It Be Prohibited?," Journal of Political Economy, University of Chicago Press, vol. 100(4), pages 859-887, August.
    11. Pagano, Michael S. & Peng, Lin & Schwartz, Robert A., 2013. "A call auction's impact on price formation and order routing: Evidence from the NASDAQ stock market," Journal of Financial Markets, Elsevier, vol. 16(2), pages 331-361.
    12. Theissen, Erik, 2000. "Market structure, informational efficiency and liquidity: An experimental comparison of auction and dealer markets," Journal of Financial Markets, Elsevier, vol. 3(4), pages 333-363, November.
    13. George M. Constantinides, 2005. "Capital Market Equilibrium with Transaction Costs," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 7, pages 207-227, World Scientific Publishing Co. Pte. Ltd..
    14. Kagel, John H & Harstad, Ronald M & Levin, Dan, 1987. "Information Impact and Allocation Rules in Auctions with Affiliated Private Values: A Laboratory Study," Econometrica, Econometric Society, vol. 55(6), pages 1275-1304, November.
    15. Eric Budish & Peter Cramton & John Shim, 2015. "Editor's Choice The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1547-1621.
    16. Davis, Douglas D. & Williams, Arlington W., 1997. "The effects of nonstationarities on performance in call markets," Journal of Economic Behavior & Organization, Elsevier, vol. 32(1), pages 39-54, January.
    17. Friedman, Daniel, 1993. "How Trading Institutions Affect Financial Market Performance: Some Laboratory Evidence," Economic Inquiry, Western Economic Association International, vol. 31(3), pages 410-435, July.
    18. Bruno Biais & Christophe Bisière & Sébastien Pouget, 2014. "Equilibrium Discovery and Preopening Mechanisms in an Experimental Market," Management Science, INFORMS, vol. 60(3), pages 753-769, March.
    19. Mark A. Satterthwaite & Steven R. Williams, 1989. "The Rate of Convergence to Efficiency in the Buyer's Bid Double Auction as the Market Becomes Large," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(4), pages 477-498.
    20. Comerton-Forde, Carole & Rydge, James, 2006. "The influence of call auction algorithm rules on market efficiency," Journal of Financial Markets, Elsevier, vol. 9(2), pages 199-222, May.
    21. Bernard, John C., 2006. "Finding and retaining the dominant strategy: The second-price, English and `sealed offer' English auctions," Journal of Economic Behavior & Organization, Elsevier, vol. 60(4), pages 553-561, August.
    22. Pagano, Michael S. & Schwartz, Robert A., 2003. "A closing call's impact on market quality at Euronext Paris," Journal of Financial Economics, Elsevier, vol. 68(3), pages 439-484, June.
    23. repec:grz:wpsses:2019-01 is not listed on IDEAS
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    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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