Abstract

 


 



Low-Frequency Traders in a High-Frequency World: A Survival Guide


Marcos Lopez de Prado


Hess Energy Trading Company; Lawrence Berkeley National Laboratory; RCC at Harvard University

September 23, 2012


Abstract:     
Multiple empirical studies have shown that Order Flow Imbalance has predictive power over the trading range.

The PIN Theory (Easley et al. [1996]) reveals the Microstructure mechanism by which:

– Market Makers adjust their trading range to avoid being adversely selected by Informed Traders.
– Informed Traders reveal their future trading intentions when they alter the Order Flow.
– Consequently, Market Makers’ trading range is a function of the Order Flow imbalance.

VPIN is a High Frequency estimate of PIN, which can be used to detect the presence of Informed Traders, monitor liquidity conditions and forecast microstructural volatility.

Number of Pages in PDF File: 41

Keywords: Market Microstructure, VPIN, Order Flow, Informed Traders, Liquidity Providers, Adverse Selection

JEL Classification: C02, D52, D53, G14

working papers series


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Date posted: September 23, 2012 ; Last revised: April 22, 2013

Suggested Citation

Lopez de Prado, Marcos, Low-Frequency Traders in a High-Frequency World: A Survival Guide (September 23, 2012). Available at SSRN: http://ssrn.com/abstract=2150876 or http://dx.doi.org/10.2139/ssrn.2150876

Contact Information

Marcos Lopez de Prado (Contact Author)
Hess Energy Trading Company ( email )
1185 Avenue of the Americas
New York, NY 10036
United States
(212) 536 8370 (Phone)
HOME PAGE: http://www.QuantResearch.info
Lawrence Berkeley National Laboratory ( email )
One Cyclotron Road
Berkeley, CA 94720
United States
HOME PAGE: http://www.lbl.gov
RCC at Harvard University ( email )
26 Trowbridge Street
Cambridge, MA 02138
United States
HOME PAGE: http://www.realcolegiocomplutense.harvard.edu
Feedback to SSRN (Beta)


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