Algorithmic and High Frequency Trading in Dynamic Limit Order Markets
Preprint
- 1 January 2013
- preprint
- Published by Elsevier in SSRN Electronic Journal
Abstract
We consider a dynamic equilibrium model of algorithmic trading (AT) for limit order markets. We show that AT improves market performance ‘only’ under specific cKeywords
This publication has 33 references indexed in Scilit:
- High-Frequency Trading and Price DiscoveryThe Review of Financial Studies, 2014
- High Frequency Traders: Taking Advantage of SpeedPublished by National Bureau of Economic Research ,2013
- The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design ResponseSSRN Electronic Journal, 2013
- Durable Consumption and Asset Management with Transaction and Observation CostsAmerican Economic Review, 2012
- Equilibrium High-Frequency TradingSSRN Electronic Journal, 2012
- Optimal Price Setting With Observation and Menu CostsThe Quarterly Journal of Economics, 2011
- Statistical Modeling of High-Frequency Financial DataIEEE Signal Processing Magazine, 2011
- Rise of the Machines: Algorithmic Trading in the Foreign Exchange MarketSSRN Electronic Journal, 2011
- High Frequency Trading and Market QualitySSRN Electronic Journal, 2010
- Order flow composition and trading costs in a dynamic limit order marketJournal of Financial Markets, 1999