The University of Southampton
University of Southampton Institutional Repository

Loss aversion increases round number bias: evidence from the laboratory and financial markets

Loss aversion increases round number bias: evidence from the laboratory and financial markets
Loss aversion increases round number bias: evidence from the laboratory and financial markets
Fraser-Mackenzie, Pete
0582f787-6e98-45ec-aeb5-4e563f3f39c5
Sung, Ming-Chien
2114f823-bc7f-4306-a775-67aee413aa03
Johnson, Johnnie
6d9f1a51-38a8-4011-a792-bfc82040fac4
Fraser-Mackenzie, Pete
0582f787-6e98-45ec-aeb5-4e563f3f39c5
Sung, Ming-Chien
2114f823-bc7f-4306-a775-67aee413aa03
Johnson, Johnnie
6d9f1a51-38a8-4011-a792-bfc82040fac4

Fraser-Mackenzie, Pete, Sung, Ming-Chien and Johnson, Johnnie (2015) Loss aversion increases round number bias: evidence from the laboratory and financial markets. The 36th Annual Conference of the Society for Judgement and Decision-Making, Chicago, United States. 20 - 23 Nov 2015.

Record type: Conference or Workshop Item (Poster)

This record has no associated files available for download.

More information

Published date: November 2015
Venue - Dates: The 36th Annual Conference of the Society for Judgement and Decision-Making, Chicago, United States, 2015-11-20 - 2015-11-23
Organisations: Centre of Excellence in Decision, Analytics & Risk Research

Identifiers

Local EPrints ID: 385367
URI: http://eprints.soton.ac.uk/id/eprint/385367
PURE UUID: a2f9cee9-549f-4e51-8edb-1e53fcae4e8a
ORCID for Ming-Chien Sung: ORCID iD orcid.org/0000-0002-2278-6185

Catalogue record

Date deposited: 11 Jan 2016 15:07
Last modified: 12 Dec 2021 03:27

Export record

Contributors

Author: Pete Fraser-Mackenzie
Author: Ming-Chien Sung ORCID iD
Author: Johnnie Johnson

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.

×