Paradigm shifts

The author studies the evolution of the number of coexisting beliefs in a financial market. Crucially, he undertakes to do so in a framework where the paradigms, beliefs, and models driving agents behavior are left totally unspecified; i.e., the author does not make any parametric or non-parametric...

Full description

Bibliographic Details
Main Author: Maugis Pierre-André Guy
Format: Article
Language:English
Published: De Gruyter 2019-12-01
Series:Economics: Journal Articles
Subjects:
Online Access:https://doi.org/10.5018/economics-ejournal.ja.2019-43
_version_ 1818112415188910080
author Maugis Pierre-André Guy
author_facet Maugis Pierre-André Guy
author_sort Maugis Pierre-André Guy
collection DOAJ
description The author studies the evolution of the number of coexisting beliefs in a financial market. Crucially, he undertakes to do so in a framework where the paradigms, beliefs, and models driving agents behavior are left totally unspecified; i.e., the author does not make any parametric or non-parametric model assumptions. The overreaching aim of this exercise is to characterise the dynamic of the variety of beliefs in an auction-based financial market independently of any assumptions on agents behaviors. The resulting framework may be seen as an abstract agent-based model. In a computer experiment the authors exhibits a cycle between two states, so that either all agents act according to the same belief, or there is no leading belief; i.e., there is one dominating belief, or none. Further, the author finds that the frequency of this cycle is positively linked to the quality of the information available to the agents.
first_indexed 2024-12-11T03:18:34Z
format Article
id doaj.art-999da9f8d77b40f8a22d24113bb7b583
institution Directory Open Access Journal
issn 1864-6042
language English
last_indexed 2024-12-11T03:18:34Z
publishDate 2019-12-01
publisher De Gruyter
record_format Article
series Economics: Journal Articles
spelling doaj.art-999da9f8d77b40f8a22d24113bb7b5832022-12-22T01:22:41ZengDe GruyterEconomics: Journal Articles1864-60422019-12-0113110.5018/economics-ejournal.ja.2019-43Paradigm shiftsMaugis Pierre-André Guy0University College London,UKThe author studies the evolution of the number of coexisting beliefs in a financial market. Crucially, he undertakes to do so in a framework where the paradigms, beliefs, and models driving agents behavior are left totally unspecified; i.e., the author does not make any parametric or non-parametric model assumptions. The overreaching aim of this exercise is to characterise the dynamic of the variety of beliefs in an auction-based financial market independently of any assumptions on agents behaviors. The resulting framework may be seen as an abstract agent-based model. In a computer experiment the authors exhibits a cycle between two states, so that either all agents act according to the same belief, or there is no leading belief; i.e., there is one dominating belief, or none. Further, the author finds that the frequency of this cycle is positively linked to the quality of the information available to the agents.https://doi.org/10.5018/economics-ejournal.ja.2019-43agent based modelinformation cascadeherding behaviorg40
spellingShingle Maugis Pierre-André Guy
Paradigm shifts
Economics: Journal Articles
agent based model
information cascade
herding behavior
g40
title Paradigm shifts
title_full Paradigm shifts
title_fullStr Paradigm shifts
title_full_unstemmed Paradigm shifts
title_short Paradigm shifts
title_sort paradigm shifts
topic agent based model
information cascade
herding behavior
g40
url https://doi.org/10.5018/economics-ejournal.ja.2019-43
work_keys_str_mv AT maugispierreandreguy paradigmshifts