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Quoting Activity and the Cost of Capital

Published online by Cambridge University Press:  07 September 2020

Ioanid Rosu Open the ORCID record for Ioanid Rosu [Opens in a new window] ,
Elvira Sojli Open the ORCID record for Elvira Sojli [Opens in a new window]  and
Wing Wah Tham Open the ORCID record for Wing Wah Tham [Opens in a new window]
Ioanid Rosu*
Affiliation:
HECParis
Elvira Sojli
Affiliation:
University of New South Walese.sojli@unsw.edu.au
Wing Wah Tham
Affiliation:
University of New South Walesw.tham@unsw.edu.au
*
rosu@hec.fr (corresponding author)
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Abstract

We study the quoting activity of market makers in relation to trading, liquidity, and expected returns. Empirically, we find larger quote-to-trade (QT) ratios in small, illiquid, or neglected firms, yet large QT ratios are associated with low expected returns. The last result is driven by quotes, not by trades. We propose a model of quoting activity consistent with these facts. In equilibrium, market makers monitor the market faster (and thus increase the QT ratio) in neglected, difficult-to-understand stocks. They also monitor faster when their clients are more precisely informed, which reduces mispricing and lowers expected returns.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 56 , Issue 8 , December 2021 , pp. 2764 - 2799
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of the Michael G. Foster School of Business, University of Washington

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Footnotes

We thank two anonymous referees, Hendrik Bessembinder (the editor), Dion Bongaerts, Jean-Edouard Colliard, David Easley, Thierry Foucault, Michael Goldstein, Amit Goyal, Johan Hombert, Dashan Huang, Maureen O’Hara, Rohit Rahi, Daniel Schmidt, and Yajun Wang for their suggestions. We are also grateful to finance seminar participants at the Stockholm Business School, the Academy of Economic Studies in Bucharest, Cass Business School, the University of British Columbia, Pontifical University of Chile, the University of Chile, the University of Technology Sydney, and HEC Paris, as well as conference participants at the 2018 Australasian Finance and Banking Conference, 2018 Financial Management Association Meeting, 2018 Behavioural Finance and Capital Markets Conference, 2018 European Finance Association Meeting, 2018 Monash Workshop on Financial Markets, 2017 French Finance Association (AFFI)/European Financial Data Institute (EUROFIDAI) Meeting, 2017 Hong Kong Conference on Market Design and Regulation in the Presence of High-Frequency Trading, 2017 Financial Integrity Research Network (FIRN) Meeting, 2017 Northern Finance Association Meeting, 2017 Sustainable Architecture for Finance in Europe (SAFE) Market Microstructure Conference, 2017 Erasmus Liquidity Conference, 2017 Risk Management Institute (RMI) Risk Management Conference, 2017 Center for Economic and Policy Research (CEPR)-Imperial-Plato Inaugural Conference, 2017 Frontiers of Finance Conference, 2017 FIRN Sydney Market Microstructure Conference, and 2016 CEPR Gerzensee European Summer Symposium in Financial Markets for valuable comments.

References

Admati, A. R.; Pfleiderer, P.; and Zechner, J.. “Large Shareholder Activism, Risk Sharing, and Financial Market Equilibrium.” Journal of Political Economy, 102 (1994), 1097–1130.10.1086/261965CrossRefGoogle Scholar
Albuquerque, R.; Song, S.; and Yao, C.. “The Price Effects of Liquidity Shocks: A Study of SEC’s Tick-Size Experiment.” Journal of Financial Economics, forthcoming (2021).CrossRefGoogle Scholar
Amihud, Y. “Illiquidity and Stock Returns: Cross-Section and Time-Series Effects.” Journal of Financial Markets, 5 (2002), 31–56.CrossRefGoogle Scholar
Amihud, Y., and Mendelson, H.. “Asset Pricing and the Bid–Ask Spread.” Journal of Financial Economics, 17 (1986), 223–249.CrossRefGoogle Scholar
Amihud, Y.; Mendelson, H.; and Pedersen, L. H.. “Liquidity and Asset Prices.” Foundations and Trends in Finance, 1 (2005), 1–96.10.1561/0500000003CrossRefGoogle Scholar
Ang, A.; Hodrick, R. J.; Xing, Y.; and Zhang, X.. “High Idiosyncratic Volatility and Low Returns: International and Further U.S. Evidence.” Journal of Financial Economics, 91 (2009), 1–23.10.1016/j.jfineco.2007.12.005CrossRefGoogle Scholar
Angel, J.; Harris, L.; and Spatt, C.. “Equity Trading in the 21st Century.” Quarterly Journal of Finance, 1 (2011), 1–53.10.1142/S2010139211000067CrossRefGoogle Scholar
Asparouhova, E.; Bessembinder, H.; and Kalcheva, I.. “Liquidity Biases in Asset Pricing Tests.” Journal of Financial Economics, 96 (2010), 215–237.CrossRefGoogle Scholar
Asparouhova, E.; Bessembinder, H.; and Kalcheva, I.. “Noisy Prices and Inference Regarding Returns.” Journal of Finance, 68 (2013), 665–714.CrossRefGoogle Scholar
Becht, M.; Franks, J.; Mayer, C.; and Rossi, S.. “Returns to Shareholder Activism: Evidence from a Clinical Study of the Hermes U.K. Focus Fund.” Review of Financial Studies, 22 (2008), 3093–3129.CrossRefGoogle Scholar
Boehmer, E.; Fong, K. Y. L.; and Wu, J. J.. “Algorithmic Trading and Market Quality: International Evidence.” Working Paper, Singapore Management University (2018).Google Scholar
Brav, A.; Jiang, W.; Partnoy, F.; and Thomas, R.. “Hedge Fund Activism, Corporate Governance, and Firm Performance.” Journal of Finance, 63 (2008), 1729–1775.CrossRefGoogle Scholar
Brennan, M. J.; Chordia, T.; and Subrahmanyam, A.. “Alternative Factor Specifications, Security Characteristics, and the Cross-Section of Expected Stock Returns.” Journal of Financial Economics, 49 (1998), 345–373.10.1016/S0304-405X(98)00028-2CrossRefGoogle Scholar
Brennan, M. J., and Subrahmanyam, A.. “Market Microstructure and Asset Pricing: On the Compensation for Illiquidity in Stock Returns.” Journal of Financial Economics, 41 (1996), 441–464.10.1016/0304-405X(95)00870-KCrossRefGoogle Scholar
Brogaard, J.; Hagstromer, B.; Norden, L.; and Riordan, R.. “Trading Fast and Slow: Colocation and Liquidity.” Review of Financial Studies, 28 (2015), 3407–3443.CrossRefGoogle Scholar
Brogaard, J.; Hendershott, T.; and Riordan, R.. “High Frequency Trading and Price Discovery.” Review of Financial Studies, 28 (2014), 3407–3443.10.1093/rfs/hhv045CrossRefGoogle Scholar
Brogaard, J.; Hendershott, T.; and Riordan, R.. “High Frequency Trading and the 2008 Short Sale Ban.” Journal of Financial Economics, 124 (2017), 22–42.CrossRefGoogle Scholar
Chordia, T.; Roll, R.; and Subrahmanyam, A.. “Commonality in Liquidity.” Journal of Financial Economics, 56 (2000), 3–28.CrossRefGoogle Scholar
Chordia, T.; Roll, R.; and Subrahmanyam, A.. “Order Imbalance, Liquidity, and Market Returns.” Journal of Financial Economics, 65 (2002), 111–130.CrossRefGoogle Scholar
Conrad, J.; Wahal, S.; and Xiang, J.. “High-Frequency Quoting, Trading, and the Efficiency of Prices.” Journal of Financial Economics, 116 (2015), 271–291.10.1016/j.jfineco.2015.02.008CrossRefGoogle Scholar
Diamond, D. W., and Verrecchia, R. E.. “Disclosure, Liquidity, and the Cost of Capital.” Journal of Finance, 46 (1991), 1325–1359.CrossRefGoogle Scholar
Duarte, J., and Young, L.. “Why Is PIN Priced?” Journal of Financial Economics, 91 (2009), 119–138.Google Scholar
Easley, D.; Hvidkjaer, S.; and O’Hara, M.. “Is Information Risk a Determinant of Asset Returns?” Journal of Finance, 57 (2002), 2185–2221.10.1111/1540-6261.00493CrossRefGoogle Scholar
Easley, D., and O’Hara, M.. “Information and the Cost of Capital.” Journal of Finance, 59 (2004), 1553–1583.10.1111/j.1540-6261.2004.00672.xCrossRefGoogle Scholar
Fama, E. F., and French, K. R.. “Common Risk Factors in the Returns on Stocks and Bonds.” Journal of Financial Economics, 33 (1993), 3–56.CrossRefGoogle Scholar
Fama, E. F., and French, K. R.. “A Five-Factor Asset Pricing Model.” Journal of Financial Economics, 116 (2015), 1–22.CrossRefGoogle Scholar
Fama, E. F., and MacBeth, J.. “Risk, Return, and Equilibrium: Empirical Tests.” Journal of Political Economy, 81 (1973), 607–636.CrossRefGoogle Scholar
Foucault, T.; Kozhan, R.; and Tham, W. W.. “Toxic Arbitrage.” Review of Financial Studies, 30 (2016), 1053–1094.CrossRefGoogle Scholar
Foucault, T.; Roell, A.; and Sandas, P.. “Market Making with Costly Monitoring: An Analysis of the SOES Controversy.” Review of Financial Studies, 16 (2003), 345–384.CrossRefGoogle Scholar
Gillan, S. L., and Starks, L. T.. “Corporate Governance Proposals and Shareholder Activism: The Role of Institutional Investors.” Journal of Financial Economics, 57 (2000), 275–305.10.1016/S0304-405X(00)00058-1CrossRefGoogle Scholar
Glosten, L., and Milgrom, P.. “Bid, Ask and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders.” Journal of Financial Economics, 14 (1985), 71–100.CrossRefGoogle Scholar
Hagstromer, B., and Norden, L.. “The Diversity of High-Frequency Traders.” Journal of Financial Markets, 16 (2013), 741–770.CrossRefGoogle Scholar
Hasbrouck, J. “Trading Costs and Returns for U.S. Equities: Estimating Effective Costs from Daily Data.” Journal of Finance, 64 (2009), 1445–1477.CrossRefGoogle Scholar
Hendershott, T.; Jones, C. M.; and Menkveld, A. J.. “Does Algorithmic Trading Improve Liquidity?” Journal of Finance, 66 (2011), 1–33.10.1111/j.1540-6261.2010.01624.xCrossRefGoogle Scholar
Hendershott, T., and Menkveld, A. J.. “Price Pressures.” Journal of Financial Economics, 114 (2014), 405–423.CrossRefGoogle Scholar
Ho, T., and Stoll, H. R.. “Optimal Dealer Pricing under Transactions and Return Uncertainty.” Journal of Financial Economics, 9 (1981), 47–73.10.1016/0304-405X(81)90020-9CrossRefGoogle Scholar
Hong, H.; Lim, T.; and Stein, J. C.. “Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies.” Journal of Finance, 55 (2000), 265–295.CrossRefGoogle Scholar
Hou, K., and Loh, R. K.. “Have We Solved the Idiosyncratic Volatility Puzzle?” Journal of Financial Economics, 121 (2016), 167–194.CrossRefGoogle Scholar
Jegadeesh, N., and Titman, S.. “Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency.” Journal of Finance, 48 (1993), 65–91.CrossRefGoogle Scholar
Kumar, A. “Who Gambles in the Stock Market?” Journal of Finance, 64 (2009), 1889–1933.CrossRefGoogle Scholar
Maug, E. “Large Shareholders as Monitors: Is There a Trade-Off Between Liquidity and Control?” Journal of Finance, 53 (1998), 65–98.CrossRefGoogle Scholar
Menkveld, A. “The Economics of High-Frequency Trading: Taking Stock.” Annual Review of Financial Economics, 8 (2016), 1–24.10.1146/annurev-financial-121415-033010CrossRefGoogle Scholar
O’Hara, M. Market Microstructure Theory, Malden, MA: Blackwell (1995).Google Scholar
O’Hara, M. “High Frequency Market Microstructure.” Journal of Financial Economics, 116 (2015), 257–270.CrossRefGoogle Scholar
Pástor, L., and Stambaugh, R. F.. “Liquidity Risk and Expected Stock Returns.” Journal of Political Economy, 111 (2003), 642–685.CrossRefGoogle Scholar
Shumway, T. “The Delisting Bias in CRSP Data.” Journal of Finance, 52 (1997), 327–340.CrossRefGoogle Scholar
Skjeltorp, J. A.; Sojli, E.; and Tham, W. W.. “Cross-Sided Liquidity Externalities.” Management Science, 64 (2018), 2901–2929.Google Scholar
Yao, C., and Ye, M.. “Why Trading Speed Matters: A Tale of Queue Rationing under Price Controls.” Review of Financial Studies, 31 (2018), 2157–2183.CrossRefGoogle Scholar
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