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An Analysis of the Influence of Fundamental Indexing on Financial Markets through Agent-Based Modeling: The Fundamentalist and Fundamental Indexing

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Transactions on Computational Collective Intelligence VIII

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 7430))

Abstract

This research analyzes the influence of indices which are employed in the asset management business on financial markets through agent-based modeling. In this analysis, I focus on a fundamental index, which has been proposed as a new benchmark for investments in place of price indices, which are currently employed in practical business affairs. As a result of intensive experiments in the market, I made the following interesting findings: (1) fundamental indexing works as effectively as a price indexing in the market when market prices reflect fundamental values; (2) improvements in forecast accuracy of fundamentalists can contribute to a decrease in the number of investors that employ fundamental indexing; (3) forecast accuracy have the same impact on both fundamental indexing and price indexing; (4) fundamental indexing contributes to market efficiency. However, I also found drawbacks to fundamental indexing, such as the risk of destabilizing markets when too many investors employ passive investment strategies using the fundamental index. These results are significant from both practical and academic viewpoints. These analyses also demonstrate the effectiveness of agent-based techniques and inverse simulation techniques for financial research.

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References

  1. Arnott, R., Hsu, J., Moore, P.: Fundamental Indexation. Financial Analysts Journal 61(2), 83–99 (2005)

    Article  Google Scholar 

  2. Arthur, W.B., Holland, J.H., LeBaron, B., Palmer, R.G., Taylor, P.: Asset Pricing under Endogenous Expectations in an Artificial Stock Market. In: The Economy as an Evolving Complex System II, pp. 15–44. Addison-Wesley (1997)

    Google Scholar 

  3. Axelrod, R.: The Complexity of Cooperation -Agent-Based Model of Competition and Collaboration. Princeton University Press (1997)

    Google Scholar 

  4. Axtell, R.: Why Agents? On the Varied Motivation For Agent Computing In the Social Sciences, the Brookings Institution Center on Social and Economic Dynamics Working Paper, November, No.17 (2000)

    Google Scholar 

  5. Black, F., Scholes, M.: Pricing of Options and Corporate Liabilities. Bell Journal of Economics and Management Science 4, 141–183 (1973)

    Article  Google Scholar 

  6. Black, F., Litterman, R.: Global Portfolio Optimization. Financial Analysts Journal, 28–43 (September-October 1992)

    Google Scholar 

  7. Brealey, R., Myers, S., Allen, F.: Principles of Corporate Finance, 8E. The McGraw-Hill (2006)

    Google Scholar 

  8. Brunnermeier, M.K.: Asset Pricing under Asymmetric Information, Oxford University Press (2001)

    Google Scholar 

  9. Epstein, J.M., Axtell, R.: Growing Artificial Societies Social Science From The Bottom Up. MIT Press (1996)

    Google Scholar 

  10. Fama, E.: Efficient Capital Markets: A Review of Theory and Empirical Work. Journal of Finance 25, 383–417 (1970)

    Article  Google Scholar 

  11. Goldberg, D.: Genetic Algorithms in Search, Optimization,and Machine Learning, Addison-Wesley (1989)

    Google Scholar 

  12. Grossman, S.J., Stiglitz, J.E.: Information and Competitive Price Systems. American Economic Review 66, 246–253 (1976)

    Google Scholar 

  13. Ingersoll, J.E.: Theory of Financial Decision Making. Rowman & Littlefield (1987)

    Google Scholar 

  14. King, R.G., Levine, R.: Finance and growth: schumpeter might be right. Quarterly Journal fo Economics 108, 717–733 (1993)

    Article  Google Scholar 

  15. Kurahashi, S., Minami, U., Terano, T.: Why not Multiple Solutions: Agent-Based Social Interaction Analysis via Inverse Simulation. In: Proc. IEEE SMC 1999, pp. II-522–II-527 (1999)

    Google Scholar 

  16. Levine, R., Zervos, S.: Stock markets, banks, and economic growth. American Economic Review 88, 537–558 (2000)

    Google Scholar 

  17. Levy, M., Levy, H., Solomon, S.: Microscopic Simulation of Financial Markets. Academic Press (2000)

    Google Scholar 

  18. Luenberger, D.G.: Investment Science. Oxford University Press (2000)

    Google Scholar 

  19. Lux, T.: The socio-economic dynamics of speculative markets:interacting agents, chaos, and the fat tails of return distributions. Journal of Economic Behavior & Organization 33, 143–165 (1998)

    Article  Google Scholar 

  20. Lux, T., Marchesi, M.: Scaling and criticality in a stochastic multi-agent model of a financial market. Letters to Nature 397, 498–500 (1999)

    Article  Google Scholar 

  21. Martellini, L., Ziemann, V.: Extending Black-Litterman Analysis Beyond the Mean-Variance Framework: An Application to Hedge Fund Style Active Allocation Decisions. Journal of Portfolio Management 33(4), 33–45 (2007)

    Article  Google Scholar 

  22. Meucci, A.: Beyond Black-Litterman in Practice. Risk 19, 114–119 (2006)

    Google Scholar 

  23. O’Brien, P.: Analysts’ Forecasts as Earnings Expectations. Journal of Accounting and Economics, 53–83 (January 1988)

    Google Scholar 

  24. Sharpe, W.F.: Capital Asset Prices:A Theory of Market Equilibrium under condition of Risk. The Journal of Finance 19, 425–442 (1964)

    Google Scholar 

  25. Shiller, R.J.: Irrational Exuberance. Princeton University Press (2000)

    Google Scholar 

  26. Shleifer, A.: Inefficient Markets. Oxford University Press (2000)

    Google Scholar 

  27. Takahashi, H., Terano, T.: Agent-Based Approach to Investors’ Behavior and Asset Price Fluctuation in Financial Markets. Journal of Artificial Societies and Social Simulation 6(3) (2003)

    Google Scholar 

  28. Takahashi, H., Terano, T.: Analyzing the Influence of Overconfident Investors on Financial Markets Through Agent-Based Model. In: Yin, H., Tino, P., Corchado, E., Byrne, W., Yao, X. (eds.) IDEAL 2007. LNCS, vol. 4881, pp. 1042–1052. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  29. Takahashi, H., Takahashi, S., Terano, T.: Analyzing the Influences of Passive Investment Strategies on Financial Markets via Agent-Based Modeling. In: Edmonds, B., Hernandes, C., Troitzsch, K. (eds.) Social Simulation Technologies: Advances and New Discoveries (Representing the best of the European Social Simulation Association Conferences). Idea Group Inc. (2007)

    Google Scholar 

  30. Takahashi, H.: An Analysis of the Influence of Fundamental Values’ Estimation Accuracy on Financial Markets. Journal of Probability and Statistics, 17 pages (2010), doi:10.1155/2010/543065

    Google Scholar 

  31. Takahashi, H., Takahashi, S., Terano, T.: Analyzing the Validity of Passive Investment Strategies Employing Fundamental Indices through Agent-Based Simulation. In: O’Shea, J., Nguyen, N.T., Crockett, K., Howlett, R.J., Jain, L.C. (eds.) KES-AMSTA 2011. LNCS (LNAI), vol. 6682, pp. 180–189. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  32. Takahashi, H.: An Analysis of the Influence of dispersion of valuations on Financial Markets through agent-based modeling. International Journal of Information Technology and Decision Making 11, 143–166 (2012)

    Article  Google Scholar 

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Author information

Authors and Affiliations

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

    Hiroshi Takahashi

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  1. Hiroshi Takahashi
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Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc-Thanh Nguyen

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Takahashi, H. (2012). An Analysis of the Influence of Fundamental Indexing on Financial Markets through Agent-Based Modeling: The Fundamentalist and Fundamental Indexing. In: Nguyen, NT. (eds) Transactions on Computational Collective Intelligence VIII. Lecture Notes in Computer Science, vol 7430. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34645-3_5

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  • DOI: https://doi.org/10.1007/978-3-642-34645-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34644-6

  • Online ISBN: 978-3-642-34645-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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