
We develop a dynamic model of an order-driven market populated by discretionary liquidity traders. These traders must trade, yet can choose the type of order and are fully strategic in their decision. Traders differ by their impatience: less patient traders demand liquidity, more patient traders provide it. Three equilibrium patterns are obtained - the pattern is determined by three parameters: the degree of impatience of the patient traders, which we model as the cost of execution delay in providing liquidity; their proportion in the population, which determines the degree of competition among the liquidity providers; and the tick size, which is the cost of the minimal price improvement. Despite its simplicity, the model generates a rich set of empirical predictions on the relation between market parameters, time to execution, and spreads. We argue that the economic intuition of this model is so basic, its main results must be robust in much more general models.
[SHS.GESTION.FIN] Humanities and Social Sciences/Business administration/domain_shs.gestion.fin, limit order markets; liquidity; market orders, Limit Order Book, limit and market orders; time-to-execution; market quality, limit order market, Market for Liquidity, jel: jel:G14, jel: jel:C51, jel: jel:G24, jel: jel:G10
[SHS.GESTION.FIN] Humanities and Social Sciences/Business administration/domain_shs.gestion.fin, limit order markets; liquidity; market orders, Limit Order Book, limit and market orders; time-to-execution; market quality, limit order market, Market for Liquidity, jel: jel:G14, jel: jel:C51, jel: jel:G24, jel: jel:G10
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 402 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
