Title: Liquidity in high resolution in limit order markets
Authors: Sudhanshu Pani
Addresses: School of Business Management, NMIMS University, Mumbai, Maharashtra, India
Abstract: This paper investigates, in high resolution, the role of liquidity in a limit order market. Liquidity in these markets has two parts - a liquidity store and liquidity flow (time dimension). We model the liquidity residing in a limit order book and the liquidity flow from the latent order book, using a fully probabilistic model. Using a sample of stocks from NASDAQ 100, we find that liquidity residing in the order book within five levels each on either side of the transaction price and the flow to this liquidity pool from the latent order book can explain the wealth traded through the trading system, when observed in business time. The explanatory power is satisfactory in high resolution and short periods of business time but weaker in aggregated longer time periods. We observe that the liquidity pool for a large part of the trading day goes into a steady state equilibrium.
Keywords: high resolution; liquidity; Bayesian hierarchical models; limit order markets; vine copula regression; market microstructure.
DOI: 10.1504/IJFMD.2021.113844
International Journal of Financial Markets and Derivatives, 2021 Vol.8 No.1, pp.23 - 49
Received: 02 May 2020
Accepted: 19 Jul 2020
Published online: 31 Mar 2021 *