Market Making With Minimum Resting Times

Quantitative Finance, Forthcoming

35 Pages Posted: 24 Jun 2018 Last revised: 12 Dec 2018

See all articles by Álvaro Cartea

Álvaro Cartea

University of Oxford; University of Oxford - Oxford-Man Institute of Quantitative Finance

Yixuan Wang

University of Oxford

Date Written: November 21, 2018

Abstract

We show how the supply of liquidity in order driven markets is affected if limit orders (LOs) are forced to rest in the limit order book (LOB) for a minimum resting time (MRT) before they can be cancelled. The bid-ask spread increases as the MRT increases because market makers (MMs) increase the depth of their LOs to protect them from being picked off by other traders. We also show that the expected profits of the MMs increase when the MRT increases. The intuition is as follows. As the MRT increases, there are two opposing forces at work. One, the longer the MRT, the more likely the LOs are to be filled and, on average, shares are sold at a loss. Two, because the depth of the posted LOs increases, the probability that the LO is picked off by other traders before the end of the MRT decreases. The net effect is that a longer MRT leads to a higher expected profit. We also show that the depth of LOs increases when the volatility of the price of the asset increases. Also, the depth of LOs increases when the arrival rate of market orders increases because it is less likely that LOs will be picked off by the end of the MRT. Finally, our model also makes predictions about the overall liquidity of the market. We show that MMs choose to supply the minimum amount of shares per LO allowed by the exchange because expected profits are maximised when liquidity provided is lowest.

Keywords: Market making, Minimum resting times, High-frequency trading, Market quality, Regulation

Suggested Citation

Cartea, Álvaro and Wang, Yixuan, Market Making With Minimum Resting Times (November 21, 2018). Quantitative Finance, Forthcoming, Available at SSRN: https://ssrn.com/abstract=3192844 or http://dx.doi.org/10.2139/ssrn.3192844

Álvaro Cartea (Contact Author)

University of Oxford ( email )

Mansfield Road
Oxford, Oxfordshire OX1 4AU
United Kingdom

University of Oxford - Oxford-Man Institute of Quantitative Finance ( email )

Eagle House
Walton Well Road
Oxford, Oxfordshire OX2 6ED
United Kingdom

Yixuan Wang

University of Oxford ( email )

Mansfield Road
Oxford, Oxfordshire OX1 4AU
United Kingdom

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