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An Analysis Of The Influence Of Dispersion Of Valuations On Financial Markets Through Agent-Based Modeling

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  • HIROSHI TAKAHASHI

    (Graduate School of Business Administration, Keio University, 4-1-1 Hiyoshi, Kohoku-ku, Yokohama-city, 223-8572, Japan)

Abstract

This research analyzes the influence of dispersion of valuations on financial markets, taking several aspects of real financial market into consideration (such as financial constraints, investment strategies and so on). As a result of intensive experiments in the market, we made the following findings: (1) Dispersion of fundamentalists' valuations has little effect on the market when financial constraints are absent; (2) When financial constraints — such as short-sale constraints — are introduced, certain situations arise in which deviations from fundamental values become larger, according to the level of the dispersion of valuations; (3) A passive investment strategy, as is consistent with traditional financial theory, is valid even when the introduction of financial constraints causes market prices to deviate significantly from fundamental values. These results contribute to clarifying the mechanism of price fluctuations in financial markets and are notable from both academic and practical view points.

Suggested Citation

  • Hiroshi Takahashi, 2012. "An Analysis Of The Influence Of Dispersion Of Valuations On Financial Markets Through Agent-Based Modeling," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 143-166.
    • Handle: RePEc:wsi:ijitdm:v:11:y:2012:i:01:n:s0219622012500071
    DOI: 10.1142/S0219622012500071
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    References listed on IDEAS

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    Cited by:

    1. Michael C. Nwogugu, 2020. "Decision-Making, Sub-Additive Recursive "Matching" Noise And Biases In Risk-Weighted Stock/Bond Index Calculation Methods In Incomplete Markets With Partially Observable Multi-Attribute Pref," Papers 2005.01708, arXiv.org.
    2. Ke Liu & Kin Keung Lai & Jerome Yen & Qing Zhu, 2017. "Model of Bias-Driven Trend Followers and Interaction with Manipulators," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 573-590, March.

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