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VPIN, liquidity, and return volatility in the U.S. equity markets

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  • Yildiz, Serhat
  • Van Ness, Bonnie
  • Van Ness, Robert

Abstract

We examine the volume-synchronized probability of informed trading metric (the VPIN flow toxicity metric, developed by Easley, Lopez de Prado, & O'Hara, 2012) as a real-time risk management tool for liquidity deteriorations in the U.S. equity markets. We find that VPIN provides information about market liquidity and stock return volatility on ex-ante basis. These results indicate that VPIN can be a useful risk-management tool for market makers, regulators and traders in the U.S. equity markets. We also document that VPIN is negatively associated with volume and number of trades, but positively associated with trade size and volume fragmentation. These findings suggest that VPIN indicates the adverse selection problem of liquidity providers by capturing the information in volume.

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  • Yildiz, Serhat & Van Ness, Bonnie & Van Ness, Robert, 2020. "VPIN, liquidity, and return volatility in the U.S. equity markets," Global Finance Journal, Elsevier, vol. 45(C).
  • Handle: RePEc:eee:glofin:v:45:y:2020:i:c:s1044028318302679
    DOI: 10.1016/j.gfj.2019.100479
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    as
    1. Torben G. Andersen & Oleg Bondarenko, 2015. "Assessing Measures of Order Flow Toxicity and Early Warning Signals for Market Turbulence," Review of Finance, European Finance Association, vol. 19(1), pages 1-54.
    2. 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.
    3. Upson, James & Van Ness, Robert A., 2017. "Multiple markets, algorithmic trading, and market liquidity," Journal of Financial Markets, Elsevier, vol. 32(C), pages 49-68.
    4. Andrew J. Patton & Michela Verardo, 2012. "Does Beta Move with News? Firm-Specific Information Flows and Learning about Profitability," The Review of Financial Studies, Society for Financial Studies, vol. 25(9), pages 2789-2839.
    5. Bessembinder, Hendrik & Chan, Kalok & Seguin, Paul J., 1996. "An empirical examination of information, differences of opinion, and trading activity," Journal of Financial Economics, Elsevier, vol. 40(1), pages 105-134, January.
    6. Andersen, Torben G. & Bondarenko, Oleg, 2014. "VPIN and the flash crash," Journal of Financial Markets, Elsevier, vol. 17(C), pages 1-46.
    7. Hasbrouck, Joel, 2007. "Empirical Market Microstructure: The Institutions, Economics, and Econometrics of Securities Trading," OUP Catalogue, Oxford University Press, number 9780195301649.
    8. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    9. Jiang, Christine X. & Likitapiwat, Tanakorn & McInish, Thomas H., 2012. "Information Content of Earnings Announcements: Evidence from After-Hours Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(6), pages 1303-1330, December.
    10. William M. Cheung & Robin K. Chou & Adrian C.H. Lei, 2015. "Exchange‐Traded Barrier Option and VPIN: Evidence from Hong Kong," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(6), pages 561-581, June.
    11. James Dow, 2003. "Informed Trading, Investment, and Welfare," The Journal of Business, University of Chicago Press, vol. 76(3), pages 439-454, July.
    12. Thierry Foucault & Albert J. Menkveld, 2008. "Competition for Order Flow and Smart Order Routing Systems," Journal of Finance, American Finance Association, vol. 63(1), pages 119-158, February.
    13. O'Hara, Maureen & Ye, Mao, 2011. "Is market fragmentation harming market quality?," Journal of Financial Economics, Elsevier, vol. 100(3), pages 459-474, June.
    14. Easley, David & Kiefer, Nicholas M & O'Hara, Maureen, 1997. "One Day in the Life of a Very Common Stock," The Review of Financial Studies, Society for Financial Studies, vol. 10(3), pages 805-835.
    15. Abad, David & Massot, Magdalena & Pascual, Roberto, 2018. "Evaluating VPIN as a trigger for single-stock circuit breakers," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 21-36.
    16. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    17. Berkman, Henk & Brailsford, Tim & Frino, Alex, 2005. "A note on execution costs for stock index futures: Information versus liquidity effects," Journal of Banking & Finance, Elsevier, vol. 29(3), pages 565-577, March.
    18. Dow, James & Gorton, Gary, 1997. "Stock Market Efficiency and Economic Efficiency: Is There a Connection?," Journal of Finance, American Finance Association, vol. 52(3), pages 1087-1129, July.
    19. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    20. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    21. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
    22. Yen-Hsien Lee & Wen-Chien Liu & Chia-Lin Hsieh, 2017. "Informed Trading of Futures Markets During the Financial Crisis: Evidence from the VPIN," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(9), pages 123-132, September.
    23. Yoshihiro Kitamura, 2017. "Predicting a flash crash in the yen/dollar foreign exchange market," Applied Economics Letters, Taylor & Francis Journals, vol. 24(14), pages 987-990, August.
    24. Jones, Charles M. & Kaul, Gautam & Lipson, Marc L., 1994. "Information, trading, and volatility," Journal of Financial Economics, Elsevier, vol. 36(1), pages 127-154, August.
    25. 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.
    26. 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.
    27. Jeff Fleming & Chris Kirby & Barbara Ostdiek, 2006. "Information, Trading, and Volatility: Evidence from Weather‐Sensitive Markets," Journal of Finance, American Finance Association, vol. 61(6), pages 2899-2930, December.
    28. Ekkehart Boehmer & Charles M. Jones & Xiaoyan Zhang, 2008. "Which Shorts Are Informed?," Journal of Finance, American Finance Association, vol. 63(2), pages 491-527, April.
    29. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    30. Chan, Louis K. C. & Lakonishok, Josef, 1993. "Institutional trades and intraday stock price behavior," Journal of Financial Economics, Elsevier, vol. 33(2), pages 173-199, April.
    31. Stoll, Hans R & Whaley, Robert E, 1990. "Stock Market Structure and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 37-71.
    32. Bessembinder, Hendrik, 2003. "Issues in assessing trade execution costs," Journal of Financial Markets, Elsevier, vol. 6(3), pages 233-257, May.
    33. McInish, Thomas H & Wood, Robert A, 1992. "An Analysis of Intraday Patterns in Bid/Ask Spreads for NYSE Stocks," Journal of Finance, American Finance Association, vol. 47(2), pages 753-764, June.
    34. Easley, David & López de Prado, Marcos M. & O'Hara, Maureen, 2014. "VPIN and the Flash Crash: A rejoinder," Journal of Financial Markets, Elsevier, vol. 17(C), pages 47-52.
    35. Ekkehart Boehmer & Robert Jennings & Li Wei, 2007. "Public Disclosure and Private Decisions: Equity Market Execution Quality and Order Routing," The Review of Financial Studies, Society for Financial Studies, vol. 20(2), pages 315-358.
    36. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2008. "Liquidity and market efficiency," Journal of Financial Economics, Elsevier, vol. 87(2), pages 249-268, February.
    37. Bonnie F. Van Ness & Robert A. Van Ness & Serhat Yildiz, 2017. "The role of HFTs in order flow toxicity and stock price variance, and predicting changes in HFTs’ liquidity provisions," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(4), pages 739-762, October.
    38. 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.
    39. David Easley & Marcos M. López de Prado & Maureen O'Hara, 2012. "Flow Toxicity and Liquidity in a High-frequency World," The Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1457-1493.
    40. Wu, Kesheng & Bethel, E. Wes & Gu, Ming & Leinweber, David & Rübe, Oliver, 2013. "A big data approach to analyzing market volatility," Algorithmic Finance, IOS Press, vol. 2(3-4), pages 241-267.
    41. Barclay, Michael J & Litzenberger, Robert H & Warner, Jerold B, 1990. "Private Information, Trading Volume, and Stock-Return Variances," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 233-253.
    42. Easley, David, et al, 1996. "Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-1436, September.
    43. Goyenko, Ruslan Y. & Holden, Craig W. & Trzcinka, Charles A., 2009. "Do liquidity measures measure liquidity?," Journal of Financial Economics, Elsevier, vol. 92(2), pages 153-181, May.
    44. Johan Bjursell & George H. K. Wang & Hui Zheng, 2017. "VPIN, Jump Dynamics and Inventory Announcements in Energy Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(6), pages 542-577, June.
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    3. Qingjing Zhang & Taufiq Choudhry & Jing-Ming Kuo & Xiaoquan Liu, 2021. "Does liquidity drive stock market returns? The role of investor risk aversion," Review of Quantitative Finance and Accounting, Springer, vol. 57(3), pages 929-958, October.

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