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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Japan Securities Dealers Association: Working paper on Internet Transaction, http://www.jsda.or.jp/shiryo/chousa/interan.html (2016) (in Japanese)
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)
Luenberger, D. G.: Investment Science, Oxford University Press (1997)
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)
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)
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)
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)
Epstein, J. M., Axtell, R. L.: Growing Artificial Societies: Social Science from the Bottom Up, A Bradford Book (1996)
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)
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)
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)
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)
Shiozawa, Y., Nakajima, Y., Matsui, H., Koyama, H., Taniguchi, K., Hashimoto, F.: Artificial Market Experiments with U-Mart System, Springer Japan, Tokyo (2008)
Tumarkin, R. Whitelaw, R. F.: News or Noise? Internet Posting and Stock Prices, Financial Analysts Journal, Vol. 57, Issue 3, pp. 41–51 (2001)
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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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