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The Effect of Word-of-Mouth in U-Mart Artificial Futures Market

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Intelligent and Evolutionary Systems

Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 8))

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Abstract

In many stock markets, it is believed that word-of-mouth effect makes the market unstable. The market nowadays is becoming vulnerable because the trading style has shifted to online trading. The signal or noise can be spread very fast in the network of online traders. By U-Mart artificial market simulator, we show that this assumption is correct in most cases, but there is a special situation in which word-of-mouth effect can make the market stable.

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References

  1. Japan Securities Dealers Association: Working paper on Internet Transaction, http://www.jsda.or.jp/shiryo/chousa/interan.html (2016) (in Japanese)

  2. Kusada, K., Mizuta, T., Hayakawa, S., Izumi, K., Yoshimura, S.: Analysis of the Market Makers Spread’s Impact to Markets Volume Shares using an Artificial Market, Proc. of the 28th Annual Conference of the Japanese Society for Artificial Intelligence, 3L3-OS-26a-2, pp. 1–4 (2014) (in Japanese)

    Google Scholar 

  3. Luenberger, D. G.: Investment Science, Oxford University Press (1997)

    Google Scholar 

  4. Matsumoto, M., Fukui, K., Moriyama, K., Kurihara, S., Numao, M.: A design and evaluation of Q-learning agents on U-Mart, Proc. of 20th Annual Conference of the Japanese Society for Artificial Intelligence, 1B2-2, pp. 1–4 (2006) (in Japanese)

    Google Scholar 

  5. Misawa, T., Suzuki, K., Okano, Y., Shimokawa, T.: Emergence of Opinion Leaders Based on Agent Model and Its Impact to Stock Prices, The transactions of the Institute of Electrical Engineers of Japan. C, A publication of Electronics, Information and System Society 129(2), pp. 336–343 (2009) (in Japanese)

    Google Scholar 

  6. Ono, I., Sato, H.: Building Artificial Markets for Evaluating Market Institutions and Trading Strategies, Realistic Simulation of Financial Market, pp. 59–85, Springer Japan, Tokyo (2016)

    Google Scholar 

  7. Shiozawa, Y.: Significance of Artificial Markets for Economics (Special Issue: “Artificial Markets”), Japanese Society for Artificial Intelligence, Vol. 15, No. 6, pp. 951–957 (2000) (in Japanese)

    Google Scholar 

  8. Epstein, J. M., Axtell, R. L.: Growing Artificial Societies: Social Science from the Bottom Up, A Bradford Book (1996)

    Google Scholar 

  9. Hong, H., Kubik, J. D., Stein, J. C.: Thy Neighbor’s Portfolio: Word-of-Mouth Effects in the Holdings and Trades of Money Managers, Journal of Fiance, Vol. 60, No. 6, pp. 2801–2824 (2005)

    Article  Google Scholar 

  10. Liu, Y-J., Meng, You, W., Zhao, L.: Word-of-Mouth Communication, Observational Learning, and Stock Market Participation, Social Science Research Network, http://dx.doi.org/10.2139/ssrn.2251570 (2014)

  11. Ono, I, Sato, H., Mori, N., Nakajima, Y., Matsui, H., Koyama, Y., Kita, H.: U-Mart System: A Market Simulator for Analyzing and Designing Institutions, Evolutionary and Institutional Economic Review, Vol. 5, No. 1, pp. 63–79 (2008)

    Article  Google Scholar 

  12. Shimokawa, T., Misawa, T., Watanabe, K.: Word of Mouth: An Agent-based Approach to Predictability of Stock Prices, Transactions of the Japanese Society for Artificial Intelligence, Vol. 21, No. 4, pp. 340–349 (2006) (in Japanese)

    Google Scholar 

  13. Shiozawa, Y., Nakajima, Y., Matsui, H., Koyama, H., Taniguchi, K., Hashimoto, F.: Artificial Market Experiments with U-Mart System, Springer Japan, Tokyo (2008)

    Google Scholar 

  14. Tumarkin, R. Whitelaw, R. F.: News or Noise? Internet Posting and Stock Prices, Financial Analysts Journal, Vol. 57, Issue 3, pp. 41–51 (2001)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, National Defense Academy, 1-10-20 Hashirimizu, Yokosuka, Kanagawa, 239-8686, Japan

    Hiroshi Sato, Tomohiro Shirakawa & Daisuke Nakagawa

Authors
  1. Hiroshi Sato
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  2. Tomohiro Shirakawa
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  3. Daisuke Nakagawa
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Corresponding author

Correspondence to Hiroshi Sato .

Editor information

Editors and Affiliations

  1. School of Engineering and Information Technology, Australian Defence Force Academy, The University of New South Wales, Canberra, Australian Capital Territory, Australia

    George Leu

  2. School of Engineering and Information Technology, Australian Defence Force Academy, The University of New South Wales, Canberra, Australian Capital Territory, Australia

    Hemant Kumar Singh

  3. School of Engineering and Information Technology, Australian Defence Force Academy, The University of New South Wales, Canberra, Australian Capital Territory, Australia

    Saber Elsayed

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Sato, H., Shirakawa, T., Nakagawa, D. (2017). The Effect of Word-of-Mouth in U-Mart Artificial Futures Market. In: Leu, G., Singh, H., Elsayed, S. (eds) Intelligent and Evolutionary Systems. Proceedings in Adaptation, Learning and Optimization, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-49049-6_28

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  • DOI: https://doi.org/10.1007/978-3-319-49049-6_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49048-9

  • Online ISBN: 978-3-319-49049-6

  • eBook Packages: EngineeringEngineering (R0)

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