Abstract

http://ssrn.com/abstract=1964781
 
 

References (18)



 
 

Citations (3)



 


 



Buy Low Sell High: A High Frequency Trading Perspective


Álvaro Cartea


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

Sebastian Jaimungal


University of Toronto - Department of Statistics

Jason Ricci


University of Toronto, Department of Statistics

April 15, 2014

Cartea, Álvaro, Sebastian Jaimungal, and Jason Ricci. "Buy low, sell high: A high frequency trading perspective." SIAM Journal on Financial Mathematics 5.1 (2014): 415-444.

Abstract:     
We develop a High Frequency (HF) trading strategy where the HF trader uses her superior speed to process information and to post limit sell and buy orders. By introducing a multi-factor mutually-exciting process we allow for feedback effects in market buy and sell orders and the shape of the limit order book (LOB). Our model accounts for arrival of market orders that influence activity, trigger one-sided and two-sided clustering of trades, and induce temporary changes in the shape of the LOB. We also model the impact that market orders have on the short-term drift of the midprice (short-term-alpha). We show that HF traders who do not include predictors of short-term-alpha in their strategies are driven out of the market because they are adversely selected by better informed traders and because they are not able to profit from directional strategies.

Number of Pages in PDF File: 37

Keywords: Algorithmic Trading, High Frequency Trading, Short Term Alpha, Adverse Selection, Self-Exciting Processes, Hawkes Processes

JEL Classification: C6, C61, C63, G1, G10, G12, G17, G60


Open PDF in Browser Download This Paper

Date posted: November 26, 2011 ; Last revised: April 27, 2015

Suggested Citation

Cartea, Álvaro and Jaimungal, Sebastian and Ricci, Jason, Buy Low Sell High: A High Frequency Trading Perspective (April 15, 2014). Cartea, Álvaro, Sebastian Jaimungal, and Jason Ricci. "Buy low, sell high: A high frequency trading perspective." SIAM Journal on Financial Mathematics 5.1 (2014): 415-444.. Available at SSRN: http://ssrn.com/abstract=1964781 or http://dx.doi.org/10.2139/ssrn.1964781

Contact Information

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
Sebastian Jaimungal
University of Toronto - Department of Statistics ( email )
100 St. George St.
Toronto, Ontario M5S 3G3
Canada
HOME PAGE: http://www.utstat.utoronto.ca/sjaimung
Jason Ricci
University of Toronto, Department of Statistics ( email )
Department of Statistical Sciences
Toronto, Ontario M5S 3G8
Canada
Feedback to SSRN


Paper statistics
Abstract Views: 12,656
Downloads: 3,590
Download Rank: 1,690
References:  18
Citations:  3

© 2016 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollobot1 in 0.281 seconds