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16 - The Determinants of the Bid–Ask Spread

from PART VII - ADVERSE SELECTION AND LIQUIDITY PROVISION

Published online by Cambridge University Press:  26 February 2018

Jean-Philippe Bouchaud
Affiliation:
Capital Fund Management, Paris
Julius Bonart
Affiliation:
University College London
Jonathan Donier
Affiliation:
Capital Fund Management
Martin Gould
Affiliation:
CFM - Imperial Institute of Quantitative Finance
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Summary

Another issue brought to the fore by the crisis is the need to better understand the determinants of liquidity in financial markets. The notion that financial assets can always be sold at prices close to their fundamental values is built into most economic analysis…

(Ben Bernanke)

As we discussed in Chapter 1, organising a market to ensure fair and orderly trading is by no means a trivial task. As we also discussed in Chapter 1, transactions can only take place if some market participants post binding quotes to the rest of the market, in the sense that they specify prices at which they agree to buy or sell a specified quantity of an asset. By posting these quotes, liquidity providers put themselves at risk, because liquidity takers can decide whether or not they want to accept these offers to trade – and will only do so if they believe that the price is favourable. Liquidity providers are therefore exposed to a systematic, adverse bias: while some trades are uninformed and innocuous, other trades may be informed and be followed by large price moves in the direction of the trade, to the detriment of the liquidity provider.

Given this seemingly unfavourable position, why do any market participants provide liquidity at all? The answer is that many liquidity-provision strategies, including the popular strategy of market-making, can be profitable in the long run because a large fraction of trades are in fact non-informed (or very weakly informed). As we noted in Section 1.3.2, the fundamental consideration for implementing these strategies in the long run is the balance between the mean size of the bid–ask spread and the mean strength of adverse impact.

In older financial markets, only a select few market participants were able to act as market-makers. Due to the large spreads that were typical of these markets, market-making was a highly profitable business for these individuals. In modern electronic markets, by contrast, any market participant can act as a market-maker. As we discuss in the chapter, this important change has made market-making a highly competitive business that is typically only marginally profitable.

In this chapter, we introduce and study some simple models that help to make our previous discussions of market-making and the bid–ask spread more precise.

Type
Chapter
Information
Trades, Quotes and Prices
Financial Markets Under the Microscope
, pp. 298 - 318
Publisher: Cambridge University Press
Print publication year: 2018

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References

Bagehot, W. (1971). The only game in town. Financial Analysts Journal, 27(2), 12–14.CrossRefGoogle Scholar
Glosten, L. R., & Milgrom, P. R. (1985). Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. Journal of Financial Economics, 14(1), 71–100.CrossRefGoogle Scholar
Glosten, L. R., & Harris, L. E. (1988). Estimating the components of the bid/ask spread. Journal of Financial Economics, 21(1), 123–142.CrossRefGoogle Scholar
Perold, A. F. (1988). The implementation shortfall: Paper versus reality. The Journal of Portfolio Management, 14(3), 4–9.CrossRefGoogle Scholar
Subrahmanyam, A. (1991). Risk aversion, market liquidity, and price efficiency. The Review of Financial Studies, 4, 417–441 CrossRefGoogle Scholar
Krishnan, M. (1992). An equivalence between the Kyle (1985) and the Glosten-Milgrom (1985) models. Economics Letters, 40(3), 333–338.CrossRefGoogle Scholar
Huang, R. D., & Stoll, H. R. (1997). The components of the bid–ask spread: A general approach. Review of Financial Studies, 10(4), 995–1034.CrossRefGoogle Scholar
Handa, P., Schwartz, R., & Tiwari, A. (2003). Quote setting and price formation in an order driven market. Journal of Financial Markets, 6(4), 461–489.CrossRefGoogle Scholar
Stoll, H. R. (2003). Market microstructure. In Constantinides, G. M., Harris, M., & Stulz, R. M. (Eds.), Handbook of the economics of finance (Vol. 1, pp. 553–604)
Elsevier. Amihud, Y., Mendelson, H., & Pedersen, L. H. (2006). Liquidity and asset prices. Foundations and Trends' in Finance, 1(4), 269–364.
Foucault, T., Pagano, M., & Röell, A. (2013). Market liquidity: Theory, evidence, and policy. Oxford University Press.CrossRefGoogle Scholar
Tannous, G., Wang, J., & Wilson, C. (2013). The intra-day pattern of information asymmetry, spread, and depth: Evidence from the NYSE. International Review of Finance, 13(2), 215–240.CrossRefGoogle Scholar
Donier, J. (2012). Market impact with autocorrelated order flow under perfect competition. https://papers.ssrn.com/sol3/papers.cfm?abstract id=2191660.
Farmer, J. D., Gerig, A., Lillo, F., & Waelbroeck, H. (2013). How efficiency shapes market impact. Quantitative Finance, 13(11), 1743–1758.CrossRefGoogle Scholar
see also Rogers, K., https://mechanicalmarkets.wordpress.com/2016/08/15/priceimpact-in-efficient-markets/.
Madhavan, A., Richardson, M., & Roomans, M. (1997). Why do security prices change? A transaction-level analysis of NYSE stocks. Review of Financial Studies, 10(4), 1035–1064.CrossRefGoogle Scholar
Wyart, M., Bouchaud, J. P., Kockelkoren, J., Potters, M., & Vettorazzo, M. (2008). Relation between bid-ask spread, impact and volatility in order-driven markets. Quantitative Finance, 8(1), 41–57.CrossRefGoogle Scholar
Bonart, J., & Lillo, F. (2016). A continuous and efficient fundamental price on the discrete order book grid. https://ssrn.com/abstract=2817279.
Harris, L. E. (1994). Minimum price variations, discrete bid-ask spreads, and quotation sizes. Review of Financial Studies, 7(1), 149–178.CrossRefGoogle Scholar
Bessembinder, H. (2000). Tick size, spreads, and liquidity: An analysis of NASDAQ securities trading near ten dollars. Journal of Financial Intermediation, 9(3), 213–239.CrossRefGoogle Scholar
Goldstein, M. A., & Kavajecz, K. A. (2000). Eighths, sixteenths, and market depth: Changes in tick size and liquidity provision on the NYSE. Journal of Financial Economics, 56(1), 125–149.CrossRefGoogle Scholar
Zhao, X., & Chung, K. H. (2006). Decimal pricing and information-based trading: Tick size and informational efficiency of asset price. Journal of Business Finance & Accounting, 33(5–6), 753–766.CrossRefGoogle Scholar
Dayri, K., & Rosenbaum, M. (2015). Large tick assets: Implicit spread and optimal tick size. Market Microstructure and Liquidity, 1(01), 1550003.CrossRefGoogle Scholar
Bonart, J. (2016). What is the optimal tick size? A cross-sectional analysis of execution costs on NASDAQ. https://ssrn.com/abstract=2869883.

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