The University of Southampton
University of Southampton Institutional Repository

Are investors learning to anticipate trading signals? Evidence from the moving average rule in three developed markets

Are investors learning to anticipate trading signals? Evidence from the moving average rule in three developed markets
Are investors learning to anticipate trading signals? Evidence from the moving average rule in three developed markets
Urquhart, Andrew
ee369df1-95b5-4cdf-bc24-f1be77357c03
Hudson, Robert
60672e7a-4142-4354-9a41-552a3db97157
Gebka, Bartosz
0cc0d596-0ce5-45c9-a4dc-5b7c91043ba9
Urquhart, Andrew
ee369df1-95b5-4cdf-bc24-f1be77357c03
Hudson, Robert
60672e7a-4142-4354-9a41-552a3db97157
Gebka, Bartosz
0cc0d596-0ce5-45c9-a4dc-5b7c91043ba9

Urquhart, Andrew, Hudson, Robert and Gebka, Bartosz (2014) Are investors learning to anticipate trading signals? Evidence from the moving average rule in three developed markets. Forecasting Financial Markets Conference 2014, Marseille, France. 20 - 22 May 2014.

Record type: Conference or Workshop Item (Paper)

This record has no associated files available for download.

More information

Published date: 22 May 2014
Venue - Dates: Forecasting Financial Markets Conference 2014, Marseille, France, 2014-05-20 - 2014-05-22
Organisations: Centre for Digital, Interactive & Data Driven Marketing

Identifiers

Local EPrints ID: 365256
URI: http://eprints.soton.ac.uk/id/eprint/365256
PURE UUID: 12a38cdb-ff72-40ed-be25-c294d23216af
ORCID for Andrew Urquhart: ORCID iD orcid.org/0000-0001-8834-4243

Catalogue record

Date deposited: 30 May 2014 07:50
Last modified: 11 Dec 2021 04:45

Export record

Contributors

Author: Andrew Urquhart ORCID iD
Author: Robert Hudson
Author: Bartosz Gebka

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×