The University of Southampton
University of Southampton Institutional Repository

Communication, networks and asset price dynamics: a survey

Communication, networks and asset price dynamics: a survey
Communication, networks and asset price dynamics: a survey
In this paper we provide a wide-ranging survey of the state of the art in the area
of communication and asset price dynamics. We start out by documenting empirical evidence that social communication influences investment decisions and asset prices, before turning to the main modelling approaches in the literature (both past and present). We discuss models of belief-updating based on observed performance; models of herd behaviour; and models with social interactions that arise from preferences for conformity or contrarianism. Our main contribution is to introduce readers to a social network approach which has been widely used in the opinion dynamics literature, but only recently applied to asset pricing. In the final part we show how recent contributions to both modelling and empirical work are using the social network approach to improve
our understanding of financial markets and asset price dynamics. We conclude with some thoughts on fruitful avenues for future research.
Asset pricing, Heterogeneous beliefs, Opinion dynamics, Social networks
1860-711X
Hatcher, Michael
e0846252-6d46-44f8-ba3c-05cf1fba64ab
Hellmann, Tim
e03b4edd-3010-4f6d-831e-86e4b3d6cbe0
Hatcher, Michael
e0846252-6d46-44f8-ba3c-05cf1fba64ab
Hellmann, Tim
e03b4edd-3010-4f6d-831e-86e4b3d6cbe0

Hatcher, Michael and Hellmann, Tim (2023) Communication, networks and asset price dynamics: a survey. Journal of Economic Interaction and Coordination. (doi:10.1007/s11403-023-00395-8).

Record type: Article

Abstract

In this paper we provide a wide-ranging survey of the state of the art in the area
of communication and asset price dynamics. We start out by documenting empirical evidence that social communication influences investment decisions and asset prices, before turning to the main modelling approaches in the literature (both past and present). We discuss models of belief-updating based on observed performance; models of herd behaviour; and models with social interactions that arise from preferences for conformity or contrarianism. Our main contribution is to introduce readers to a social network approach which has been widely used in the opinion dynamics literature, but only recently applied to asset pricing. In the final part we show how recent contributions to both modelling and empirical work are using the social network approach to improve
our understanding of financial markets and asset price dynamics. We conclude with some thoughts on fruitful avenues for future research.

Text
JEIC_survey - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (756kB)
Text
s11403-023-00395-8 - Version of Record
Available under License Creative Commons Attribution.
Download (2MB)

More information

Accepted/In Press date: 19 July 2023
Published date: 18 October 2023
Additional Information: Publisher Copyright: © 2023, The Author(s).
Keywords: Asset pricing, Heterogeneous beliefs, Opinion dynamics, Social networks

Identifiers

Local EPrints ID: 481964
URI: http://eprints.soton.ac.uk/id/eprint/481964
ISSN: 1860-711X
PURE UUID: 6b4726a9-6c4e-4de3-afa2-a505b867e71c
ORCID for Michael Hatcher: ORCID iD orcid.org/0000-0001-8506-1950

Catalogue record

Date deposited: 14 Sep 2023 16:36
Last modified: 18 Mar 2024 03:29

Export record

Altmetrics

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.

×