Short run dynamics in an artificial futures market with human subjects

Takashi Yamada; Yusuke Koyama; Takao Terano

doi:10.1007/978-3-540-77226-2_109

Short run dynamics in an artificial futures market with human subjects

Takashi Yamada, Yusuke Koyama, Takao Terano

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents the computational results obtained in the strategy experiments in an artificial futures market with human subjects. Participants submit their own strategy files and they receive the performances of all the market participants in order to improve for the next round. After two-round experiments, simulations with only machine agents are run. We find that the time series data support so-called stylized facts in some regards and that experiments of human subjects seem to make the prices be closer to a theoretical value.

Original language	English
Title of host publication	Intelligent Data Engineering and Automated Learning - IDEAL 2007 - 8th International Conference, Proceedings
Publisher	Springer Verlag
Pages	1092-1101
Number of pages	10
ISBN (Print)	9783540772255
DOIs	https://doi.org/10.1007/978-3-540-77226-2_109
Publication status	Published - 2007
Externally published	Yes
Event	8th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2007 - Birmingham, United Kingdom Duration: 2007 Dec 16 → 2007 Dec 19

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4881 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	8th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2007
Country	United Kingdom
City	Birmingham
Period	07/12/16 → 07/12/19

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-77226-2_109

Fingerprint Dive into the research topics of 'Short run dynamics in an artificial futures market with human subjects'. Together they form a unique fingerprint.

Cite this

Yamada, T., Koyama, Y., & Terano, T. (2007). Short run dynamics in an artificial futures market with human subjects. In Intelligent Data Engineering and Automated Learning - IDEAL 2007 - 8th International Conference, Proceedings (pp. 1092-1101). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4881 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-77226-2_109

Short run dynamics in an artificial futures market with human subjects. / Yamada, Takashi; Koyama, Yusuke; Terano, Takao.

Intelligent Data Engineering and Automated Learning - IDEAL 2007 - 8th International Conference, Proceedings. Springer Verlag, 2007. p. 1092-1101 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4881 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yamada, T, Koyama, Y & Terano, T 2007, Short run dynamics in an artificial futures market with human subjects. in Intelligent Data Engineering and Automated Learning - IDEAL 2007 - 8th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4881 LNCS, Springer Verlag, pp. 1092-1101, 8th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2007, Birmingham, United Kingdom, 07/12/16. https://doi.org/10.1007/978-3-540-77226-2_109

Yamada T, Koyama Y, Terano T. Short run dynamics in an artificial futures market with human subjects. In Intelligent Data Engineering and Automated Learning - IDEAL 2007 - 8th International Conference, Proceedings. Springer Verlag. 2007. p. 1092-1101. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-77226-2_109

Yamada, Takashi ; Koyama, Yusuke ; Terano, Takao. / Short run dynamics in an artificial futures market with human subjects. Intelligent Data Engineering and Automated Learning - IDEAL 2007 - 8th International Conference, Proceedings. Springer Verlag, 2007. pp. 1092-1101 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{23a28ea0bcf148b3ba2856fb9fe8a7ae,

title = "Short run dynamics in an artificial futures market with human subjects",

abstract = "This paper presents the computational results obtained in the strategy experiments in an artificial futures market with human subjects. Participants submit their own strategy files and they receive the performances of all the market participants in order to improve for the next round. After two-round experiments, simulations with only machine agents are run. We find that the time series data support so-called stylized facts in some regards and that experiments of human subjects seem to make the prices be closer to a theoretical value.",

author = "Takashi Yamada and Yusuke Koyama and Takao Terano",

year = "2007",

doi = "10.1007/978-3-540-77226-2_109",

language = "English",

isbn = "9783540772255",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "1092--1101",

booktitle = "Intelligent Data Engineering and Automated Learning - IDEAL 2007 - 8th International Conference, Proceedings",

note = "8th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2007 ; Conference date: 16-12-2007 Through 19-12-2007",

}

TY - GEN

T1 - Short run dynamics in an artificial futures market with human subjects

AU - Yamada, Takashi

AU - Koyama, Yusuke

AU - Terano, Takao

PY - 2007

Y1 - 2007

N2 - This paper presents the computational results obtained in the strategy experiments in an artificial futures market with human subjects. Participants submit their own strategy files and they receive the performances of all the market participants in order to improve for the next round. After two-round experiments, simulations with only machine agents are run. We find that the time series data support so-called stylized facts in some regards and that experiments of human subjects seem to make the prices be closer to a theoretical value.

AB - This paper presents the computational results obtained in the strategy experiments in an artificial futures market with human subjects. Participants submit their own strategy files and they receive the performances of all the market participants in order to improve for the next round. After two-round experiments, simulations with only machine agents are run. We find that the time series data support so-called stylized facts in some regards and that experiments of human subjects seem to make the prices be closer to a theoretical value.

UR - http://www.scopus.com/inward/record.url?scp=38449086719&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=38449086719&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-77226-2_109

DO - 10.1007/978-3-540-77226-2_109

M3 - Conference contribution

AN - SCOPUS:38449086719

SN - 9783540772255

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 1092

EP - 1101

BT - Intelligent Data Engineering and Automated Learning - IDEAL 2007 - 8th International Conference, Proceedings

PB - Springer Verlag

T2 - 8th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2007

Y2 - 16 December 2007 through 19 December 2007

ER -

Short run dynamics in an artificial futures market with human subjects

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this