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A knowledge‐based framework for incorporating investor's preference into portfolio decision‐making

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  • Chulsoo Kim
  • Chaehwan Won

Abstract

This paper describes a framework for the integration of a rule‐based system capable of identifying an investor's risk preference into a quantitative portfolio model based on risk and expected return. By inferring rules consisting of an investor's objective and subjective risk preferences, the integrated methodology provides the assets suitable for the preferences. Through investment in the portfolio composed of the assets, the investor is able to obtain the following benefits: reduction of costs and time spent to determine target assets, and alleviation of anxiety from ‘out‐of‐favor’ assets. The framework is applied to the development of a knowledge‐based portfolio system for constructing an investor's preference‐oriented portfolio. In the procedure of the system for finding an optimal portfolio, the system uses an artificial intelligence method of a case‐based reasoning to obtain preference thresholds for an investor when the investor's past investment records are available. Experimental results show that the framework contributes significantly to the construction of a better portfolio from the perspective of an investor's benefit/cost ratio than that produced by the existing portfolio models. Copyright © 2004 John Wiley & Sons, Ltd.

Suggested Citation

  • Chulsoo Kim & Chaehwan Won, 2004. "A knowledge‐based framework for incorporating investor's preference into portfolio decision‐making," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 12(2), pages 121-138, April.
    • Handle: RePEc:wly:isacfm:v:12:y:2004:i:2:p:121-138
    DOI: 10.1002/isaf.248
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    References listed on IDEAS

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    1. Hamburger, Michael J & Kochin, Levis A, 1972. "Money and Stock Prices: The Channels of Influence," Journal of Finance, American Finance Association, vol. 27(2), pages 231-249, May.
    2. Kraft, John & Kraft, Arthur, 1977. "Determinants of Common Stock Prices: A Time Series Analysis," Journal of Finance, American Finance Association, vol. 32(2), pages 417-425, May.
    3. Jae Kyu Lee & Sang Zo Nam, 1997. "An object‐oriented optimal savings system: HYPER‐SAVINGS," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 6(4), pages 303-320, December.
    4. Geske, Robert & Roll, Richard, 1983. "The Fiscal and Monetary Linkage between Stock Returns and Inflation," Journal of Finance, American Finance Association, vol. 38(1), pages 1-33, March.
    5. Jae Kyu Lee & Yong Uk Song, 1995. "Unification of Linear Programming with a Rule-Based System by the Post-Model Analysis Approach," Management Science, INFORMS, vol. 41(5), pages 835-847, May.
    6. Blume, Marshall E & Friend, Irwin, 1975. "The Asset Structure of Individual Portfolios and Some Implications for Utility Functions," Journal of Finance, American Finance Association, vol. 30(2), pages 585-603, May.
    7. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    8. Merton, Robert C, 1969. "Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case," The Review of Economics and Statistics, MIT Press, vol. 51(3), pages 247-257, August.
    9. Chen, Andrew H., 1977. "Portfolio Selection with Stochastic Cash Demand," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(2), pages 197-213, June.
    10. Martin R. Young, 1998. "A Minimax Portfolio Selection Rule with Linear Programming Solution," Management Science, INFORMS, vol. 44(5), pages 673-683, May.
    11. Fama, Eugene F, 1983. "Stock Returns, Real Activity, Inflation, and Money: Reply," American Economic Review, American Economic Association, vol. 73(3), pages 471-472, June.
    12. Black, Fischer, 1972. "Capital Market Equilibrium with Restricted Borrowing," The Journal of Business, University of Chicago Press, vol. 45(3), pages 444-455, July.
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