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Information disclosure and price manipulation during the pre-closing session: evidence from an order-driven market

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  • Tsung-Yu Hsieh

Abstract

On 20 February 2012, the Taiwan Stock Exchange Corporation launched an order-matching simulation mechanism for five minutes during the start of the pre-closing session, in order to increase information disclosure during this period (13:25-13:30). Pre-closing information disclosure significantly reduces both trading costs and closing-price volatility, as well as price manipulation. The decrease in price manipulation found in this work is due to pre-closing information disclosure, not the behaviour of investors shifting to an earlier time. Further, if a stock price rises or falls by more than 3.5% in the simulation in the last minute during the closing session, trading of the stock will be suspended for two minutes from 13:31 to reduce volatility. However, this trading mechanism (suspended-closing) does not seem to have achieved the intended goals of the authorities, as it has not been able to significantly reduce closing-price volatility and price manipulation.

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  • Tsung-Yu Hsieh, 2015. "Information disclosure and price manipulation during the pre-closing session: evidence from an order-driven market," Applied Economics, Taylor & Francis Journals, vol. 47(43), pages 4670-4684, September.
    • Handle: RePEc:taf:applec:v:47:y:2015:i:43:p:4670-4684
    DOI: 10.1080/00036846.2015.1051656
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    1. 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.
    2. Bernhardt, Dan & Davies, Ryan J., 2005. "Painting the tape: Aggregate evidence," Economics Letters, Elsevier, vol. 89(3), pages 306-311, December.
    3. Kumar, Praveen & Seppi, Duane J, 1992. "Futures Manipulation with "Cash Settlement."," Journal of Finance, American Finance Association, vol. 47(4), pages 1485-1502, September.
    4. Dan Bernhardt & Ryan J. Davies, 2009. "Smart fund managers? Stupid money?," Canadian Journal of Economics, Canadian Economics Association, vol. 42(2), pages 719-748, May.
    5. Madhavan, Ananth, 1992. "Trading Mechanisms in Securities Markets," Journal of Finance, American Finance Association, vol. 47(2), pages 607-641, June.
    6. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
    7. Charles Cao & Eric Ghysels & Frank Hatheway, 2000. "Price Discovery without Trading: Evidence from the Nasdaq Preopening," Journal of Finance, American Finance Association, vol. 55(3), pages 1339-1365, June.
    8. Hillion, Pierre & Suominen, Matti, 2004. "The manipulation of closing prices," Journal of Financial Markets, Elsevier, vol. 7(4), pages 351-375, October.
    9. Luke Bortoli & Alex Frino & Elvis Jarnecic & David Johnstone, 2006. "Limit order book transparency, execution risk, and market liquidity: Evidence from the Sydney Futures Exchange," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(12), pages 1147-1167, December.
    10. Bange, Mary M., 2000. "Do the Portfolios of Small Investors Reflect Positive Feedback Trading?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(2), pages 239-255, June.
    11. Lee, Yi-Tsung & Lin, Ji-Chai & Liu, Yu-Jane, 1999. "Trading patterns of big versus small players in an emerging market: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 23(5), pages 701-725, May.
    12. Mark M. Carhart & Ron Kaniel & David K. Musto & Adam V. Reed, 2002. "Leaning for the Tape: Evidence of Gaming Behavior in Equity Mutual Funds," Journal of Finance, American Finance Association, vol. 57(2), pages 661-693, April.
    13. Eom, Kyong Shik & Ok, Jinho & Park, Jong-Ho, 2007. "Pre-trade transparency and market quality," Journal of Financial Markets, Elsevier, vol. 10(4), pages 319-341, November.
    14. Hall, Anthony D. & Hautsch, Nikolaus, 2007. "Modelling the buy and sell intensity in a limit order book market," Journal of Financial Markets, Elsevier, vol. 10(3), pages 249-286, August.
    15. Hans R. Stoll & Robert E. Whaley, 1997. "Expiration†Day Effects of the All Ordinaries Share Price Index Futures: Empirical Evidence and Alternative Settlement Procedures," Australian Journal of Management, Australian School of Business, vol. 22(2), pages 139-174, December.
    16. 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.
    17. Madhavan, Ananth & Porter, David & Weaver, Daniel, 2005. "Should securities markets be transparent?," Journal of Financial Markets, Elsevier, vol. 8(3), pages 265-287, August.
    18. Khwaja, Asim Ijaz & Mian, Atif, 2005. "Unchecked intermediaries: Price manipulation in an emerging stock market," Journal of Financial Economics, Elsevier, vol. 78(1), pages 203-241, October.
    19. Richard W. Sias & Laura T. Starks, 2006. "Changes in Institutional Ownership and Stock Returns: Assessment and Methodology," The Journal of Business, University of Chicago Press, vol. 79(6), pages 2869-2910, November.
    20. Harris, Lawrence, 1989. "A Day-End Transaction Price Anomaly," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(1), pages 29-45, March.
    21. Comerton-Forde, Carole & Putnins, Talis J., 2011. "Measuring closing price manipulation," Journal of Financial Intermediation, Elsevier, vol. 20(2), pages 135-158, April.
    22. Comerton-Forde, Carole & Ting Lau, Sie & McInish, Thomas, 2007. "Opening and closing behavior following the introduction of call auctions in Singapore," Pacific-Basin Finance Journal, Elsevier, vol. 15(1), pages 18-35, January.
    23. Rajesh K. Aggarwal & Guojun Wu, 2006. "Stock Market Manipulations," The Journal of Business, University of Chicago Press, vol. 79(4), pages 1915-1954, July.
    24. Bruno Biais & Pierre Hillion & Chester Spatt, 1999. "Price Discovery and Learning during the Preopening Period in the Paris Bourse," Journal of Political Economy, University of Chicago Press, vol. 107(6), pages 1218-1248, December.
    25. P. Corredor & P. Lechón & R. Santamaría, 2001. "Option‐Expiration Effects in Small Markets: The Spanish Stock Exchange," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(10), pages 905-928, October.
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    1. Alfred Ma, 2022. "Profitability of technical trading strategies under market manipulation," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-9, December.

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