Intraday Technical Trading in the Foreign Exchange
Market
C. Neely, und P. Weller. Working paper, 1999-016B. Federal Reserve Bank of St. Louis, Research Division, 411 Locust Street, St. Louis, MO 63102, USA, (10 January 2001)
Zusammenfassung
This paper examines the out-of-sample performance of
intraday technical trading strategies selected using
two methodologies, a genetic program and an optimized
linear forecasting model. When realistic transaction
costs and trading hours are taken into account, we find
no evidence of excess returns to the trading rules
derived with either methodology. Thus, our results are
consistent with market efficiency. We do, however, find
that the trading rules discover some remarkably stable
patterns in the data.
%0 Report
%1 99-016
%A Neely, Christopher J.
%A Weller, Paul A.
%C 411 Locust Street, St. Louis, MO 63102, USA
%D 2001
%K algorithms, exchange genetic programming, rates rules, technical trading
%N 1999-016B
%T Intraday Technical Trading in the Foreign Exchange
Market
%U http://research.stlouisfed.org/wp/1999/99-016.pdf
%X This paper examines the out-of-sample performance of
intraday technical trading strategies selected using
two methodologies, a genetic program and an optimized
linear forecasting model. When realistic transaction
costs and trading hours are taken into account, we find
no evidence of excess returns to the trading rules
derived with either methodology. Thus, our results are
consistent with market efficiency. We do, however, find
that the trading rules discover some remarkably stable
patterns in the data.
@techreport{99-016,
abstract = {This paper examines the out-of-sample performance of
intraday technical trading strategies selected using
two methodologies, a genetic program and an optimized
linear forecasting model. When realistic transaction
costs and trading hours are taken into account, we find
no evidence of excess returns to the trading rules
derived with either methodology. Thus, our results are
consistent with market efficiency. We do, however, find
that the trading rules discover some remarkably stable
patterns in the data.},
added-at = {2008-06-19T17:46:40.000+0200},
address = {411 Locust Street, St. Louis, MO 63102, USA},
author = {Neely, Christopher J. and Weller, Paul A.},
biburl = {https://www.bibsonomy.org/bibtex/2171c507ae67ead309021439a1dcf86b2/brazovayeye},
institution = {Federal Reserve Bank of St. Louis, Research Division},
interhash = {f200352e419078d1d71fc786eaed6c9e},
intrahash = {171c507ae67ead309021439a1dcf86b2},
keywords = {algorithms, exchange genetic programming, rates rules, technical trading},
month = {10 January},
notes = {JEL subject numbers: F31, G15
see also \cite{neely:2003:JIMF}},
number = {1999-016B},
size = {34 pages},
timestamp = {2008-06-19T17:48:08.000+0200},
title = {Intraday Technical Trading in the Foreign Exchange
Market},
type = {Working paper},
url = {http://research.stlouisfed.org/wp/1999/99-016.pdf},
year = 2001
}