The University of Southampton
University of Southampton Institutional Repository

Predicting Prediction Markets with Combined Forecasts

Predicting Prediction Markets with Combined Forecasts
Predicting Prediction Markets with Combined Forecasts
Tai, Chung-Ching
b3370b23-7410-4254-99bc-6711046e1095
Chen, Shu-Heng
e0a6ff42-9111-4dd1-972e-7df52d46bd5f
Tung, Chen-Yuan
979776b4-b4a4-4e50-a38a-e2214af36033
Chie, Bin-Tzong
cbf616e1-c2aa-40ff-ac40-3bdd24594523
Lin, Hung-Wen
829f7be5-0161-4039-93f3-c38914753d9a
Tai, Chung-Ching
b3370b23-7410-4254-99bc-6711046e1095
Chen, Shu-Heng
e0a6ff42-9111-4dd1-972e-7df52d46bd5f
Tung, Chen-Yuan
979776b4-b4a4-4e50-a38a-e2214af36033
Chie, Bin-Tzong
cbf616e1-c2aa-40ff-ac40-3bdd24594523
Lin, Hung-Wen
829f7be5-0161-4039-93f3-c38914753d9a

Tai, Chung-Ching, Chen, Shu-Heng, Tung, Chen-Yuan, Chie, Bin-Tzong and Lin, Hung-Wen (2014) Predicting Prediction Markets with Combined Forecasts. The 40th Eastern Economic Association Annual Conference, , Boston, United States. 06 - 09 Mar 2014.

Record type: Conference or Workshop Item (Paper)

This record has no associated files available for download.

More information

Published date: 9 March 2014
Venue - Dates: The 40th Eastern Economic Association Annual Conference, , Boston, United States, 2014-03-06 - 2014-03-09

Identifiers

Local EPrints ID: 468401
URI: http://eprints.soton.ac.uk/id/eprint/468401
PURE UUID: 71c3b02f-acc4-45a8-992b-e72e326b5a00
ORCID for Chung-Ching Tai: ORCID iD orcid.org/0000-0002-2557-177X

Catalogue record

Date deposited: 12 Aug 2022 21:25
Last modified: 17 Nov 2022 02:53

Export record

Contributors

Author: Chung-Ching Tai ORCID iD
Author: Shu-Heng Chen
Author: Chen-Yuan Tung
Author: Bin-Tzong Chie
Author: Hung-Wen Lin

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.

×