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Algorithmic trading and market quality: Evidence from the Taiwan index futures market

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  • Ya‐Kai Chang
  • Robin K. Chou

Abstract

This study examines the effects of different algorithmic traders on market quality and the price discovery process, considering the impact of different trading strategies and market conditions. Algorithmic foreign institutions and proprietary firms act strategically, by monitoring market conditions. During stable market conditions, they supply liquidity, and this strategic activity both improves price efficiency and increases fundamental volatility. In more turbulent market conditions, algorithmic foreign institutions and proprietary firms instead demand liquidity, and their trading activity leads to an increase in price efficiency and a decrease in excessive volatility. Overall, algorithmic trades do not harm market quality.

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  • Ya‐Kai Chang & Robin K. Chou, 2022. "Algorithmic trading and market quality: Evidence from the Taiwan index futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1837-1855, October.
    • Handle: RePEc:wly:jfutmk:v:42:y:2022:i:10:p:1837-1855
    DOI: 10.1002/fut.22362
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    as
    1. Biais, Bruno & Foucault, Thierry & Moinas, Sophie, 2015. "Equilibrium fast trading," Journal of Financial Economics, Elsevier, vol. 116(2), pages 292-313.
    2. Khandani, Amir E. & Lo, Andrew W., 2011. "What happened to the quants in August 2007? Evidence from factors and transactions data," Journal of Financial Markets, Elsevier, vol. 14(1), pages 1-46, February.
    3. Thierry Foucault & Johan Hombert & Ioanid Roşu, 2016. "News Trading and Speed," Journal of Finance, American Finance Association, vol. 71(1), pages 335-382, February.
    4. Hendershott, Terrence & Riordan, Ryan, 2013. "Algorithmic Trading and the Market for Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(4), pages 1001-1024, August.
    5. Yi‐Wei Chuang & Yu‐Fen Lin & Pei‐Shih Weng, 2019. "Why and how do foreign institutional investors outperform domestic investors in futures trading: Evidence from Taiwan," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(3), pages 279-301, March.
    6. Péter Kondor, 2009. "Risk in Dynamic Arbitrage: The Price Effects of Convergence Trading," Journal of Finance, American Finance Association, vol. 64(2), pages 631-655, April.
    7. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    8. Yao-Min Chiang & Yiming Qian & Ann E. Sherman, 2010. "Endogenous Entry and Partial Adjustment in IPO Auctions: Are Institutional Investors Better Informed?," The Review of Financial Studies, Society for Financial Studies, vol. 23(3), pages 1200-1230, March.
    9. Andrei Kirilenko & Albert S. Kyle & Mehrdad Samadi & Tugkan Tuzun, 2017. "The Flash Crash: High-Frequency Trading in an Electronic Market," Journal of Finance, American Finance Association, vol. 72(3), pages 967-998, June.
    10. Harald Hau, 2001. "Location Matters: An Examination of Trading Profits," Journal of Finance, American Finance Association, vol. 56(5), pages 1959-1983, October.
    11. Gerig, Austin & Michayluk, David, 2017. "Automated liquidity provision," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 1-13.
    12. Jeremy C. Stein, 2009. "Presidential Address: Sophisticated Investors and Market Efficiency," Journal of Finance, American Finance Association, vol. 64(4), pages 1517-1548, August.
    13. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    14. Maureen O'Hara & Chen Yao & Mao Ye, 2014. "What's Not There: Odd Lots and Market Data," Journal of Finance, American Finance Association, vol. 69(5), pages 2199-2236, October.
    15. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    16. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Ebens, Heiko, 2001. "The distribution of realized stock return volatility," Journal of Financial Economics, Elsevier, vol. 61(1), pages 43-76, July.
    17. Chan, Kalok, 1992. "A Further Analysis of the Lead-Lag Relationship between the Cash Market and Stock Index Futures Market," The Review of Financial Studies, Society for Financial Studies, vol. 5(1), pages 123-152.
    18. Chang, Chuang-Chang & Hsieh, Pei-Fang & Lai, Hung-Neng, 2009. "Do informed option investors predict stock returns? Evidence from the Taiwan stock exchange," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 757-764, April.
    19. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    20. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    21. Subrahmanyam, Avanidhar, 1991. "A Theory of Trading in Stock Index Futures," The Review of Financial Studies, Society for Financial Studies, vol. 4(1), pages 17-51.
    22. Álvaro Cartea & José Penalva, 2012. "Where is the Value in High Frequency Trading?," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 1-46.
    23. Brogaard, Jonathan & Hendershott, Terrence & Riordan, Ryan, 2017. "High frequency trading and the 2008 short-sale ban," Journal of Financial Economics, Elsevier, vol. 124(1), pages 22-42.
    24. Hasbrouck, Joel, 1993. "Assessing the Quality of a Security Market: A New Approach to Transaction-Cost Measurement," The Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 191-212.
    25. Jonathan Brogaard & Björn Hagströmer & Lars Nordén & Ryan Riordan, 2015. "Trading Fast and Slow: Colocation and Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 28(12), pages 3407-3443.
    26. Hoffmann, Peter, 2014. "A dynamic limit order market with fast and slow traders," Journal of Financial Economics, Elsevier, vol. 113(1), pages 156-169.
    27. Grinblatt, Mark & Keloharju, Matti, 2000. "The investment behavior and performance of various investor types: a study of Finland's unique data set," Journal of Financial Economics, Elsevier, vol. 55(1), pages 43-67, January.
    28. Joon Chae & Jaeuk Khil & Eun Jung Lee, 2013. "Who Makes Markets? Liquidity Providers Versus Algorithmic Traders," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(5), pages 397-420, May.
    29. Hyuk Choe & Bong-Chan Kho & Rene M. Stulz, 2001. "Do Domestic Investors Have More Valuable Information About Individual Stocks Than Foreign Investors?," NBER Working Papers 8073, National Bureau of Economic Research, Inc.
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    1. Carè, Rosella & Cumming, Douglas, 2024. "Technology and automation in financial trading: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 71(C).

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