Liquidity determination in an order driven market

Download paper

Danielsson, J. and R. Payne (2012). Liquidity determination in an order driven market. European Journal of Finance.

We exploit full order level information from an electronic FX broking system to provide a comprehensive account of the determination of its liquidity. We not only look at bid-ask spreads and trading volumes, but also study the determination of order entry rates and depth measures derived from the entire limit order book. We find strong predictability in the arrival of liquidity supply/demand events. Further, in times of low (high) liquidity, liquidity supply (demand) events are more common. In times of high trading activity and volatility, the ratio of limit to market order arrivals is high but order book spreads and depth deteriorate. These results are consistent with market order traders having better information than limit order traders.

@article{DanielssonPayne2012,
author = {J{\'o}n Dan{\'i}elsson and Richard Payne}, 
title = {Liquidity determination in an order driven market},
year = {2012},
	journal={European Journal of Finance},
abstract={We exploit full order level information from an electronic FX broking system to provide a comprehensive account of the determination of its liquidity. We not only look at bid-ask spreads and trading volumes, but also study the determination of order entry rates and depth measures derived from the entire limit order book. We find strong predictability in the arrival of liquidity supply/demand events. Further, in times of low (high) liquidity, liquidity supply (demand) events are more common. In times of high trading activity and volatility, the ratio of limit to market order arrivals is high but order book spreads and depth deteriorate. These results are consistent with market order traders having better information than limit order traders.},
}


Endogenous extreme events and the dual role of prices
Exchange rate determination and inter--market order flow effects

Risk research
Jon Danielson's research papers on systemic risk, artificial intelligence, risk forecasting, financial regulations and crypto currencies.
© All rights reserved, Jon Danielsson,