Abstract
This paper describes a hybrid intelligent system formed by a decision support system based on rules for the management of a stock portfolio and by a fuzzy inference system to select the stocks to be incorporated.
This system simulates the behavior of any rational investor, so that each day would look if there is any investment opportunity with the use of technical indicators applying a fuzzy logic based approach.
The system has been tested in 3 time periods (1 year, 3 years and 5 years), simulating the purchase/sale of stocks in the Spanish continuous market and the results have been compared with the revaluations obtained by the best investment funds operating in Spain.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Albanis, G., Batchelor, R.: Combining heterogenous classifiers for stock selection. International Journal of Intelligent Systems in Accounting and Finance Management 15(1-2), 1–21 (2007)
Amenc, N., Sourd, V.L.: Portfolio Theory and Performance Analysis. Wiley Finance (2003)
Atsalakis, G., Valavanis, K.: Forecasting stock market short-term trends using a neuro-fuzzy based methodology. Expert Systems with Applications 36(7), 10696–10707 (2009)
BME - Bolsas y Mercados Españoles: Normalidad de las series financieras (2009), http://www.bolsasymercados.es
Cheung, W., Kaymak, U.: A fuzzy logic based trading system. In: 3rd European Symposium on Nature-inspired Smart Information Systems. Nisis (2007)
Dourra, H., Siy, P.: Investment using technical analysis and fuzzy logic. Fuzzy Sets and Systems 127(2), 221–240 (2002)
Drake, A., Marks, R.: Genetic Algorithms in Economics and Finance: Forecasting Stock Market Prices and Foreign Exchange - A Review. Genetic algorithms and genetic programming in computational finance. Kluwer (2002)
INVERCO - Asociación de Instituciones de Inversión Colectiva y Fondos de Pensiones: Ranking Fondos Inversión a (December 31, 2009), http://www.inverco.es
Kendall, G., Su, Y.: A particle swarm optimisation approach in the construction of optimal risky portfolios. In: 23rd IASTED International Multi-conference Artificial Intelligence and Applications, pp. 140–145 (2005)
Kosko, B.: Neural network and Fuzzy systems. In: A Dynamical Systems Approach to Machine Intelligence. Prentice Hall Press (1992)
León, T., Vercher, V.L., Viability, E.: Viability of infeasible portfolio selection problems: A fuzzy approach. European Journal of Operational Research 139(1), 178–189 (2002)
Malkiel, B.: A Random Walk Down Wall Street. W. W. Norton & Company (1973)
Markowitz, H.: Portfolio selection. Journal of Finance 7(1), 77–91 (1952)
Mittermayer, M.: Forecasting intraday stock price trends with text mining techniques. In: 37th Annual Hawaii International Conference on System Sciences, pp. 140–145. IEEE Xplore (2004)
Murphy, J.: Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications. Prentice Hall Press (1999)
Shen, L., Loh, H.T.: Applying rough sets to market timing decisions. Decision Support Systems 37(4), 583–597 (2004)
Sun, H., Liu, L.: A linear output structure for fuzzy logic controllers. Fuzzy Sets and Systems 131(2), 265–270 (2002)
Tseng, C.-C., Gmytrasiewicz, P.J.: Real time decision support system for portfolio management. In: 35th Annual Hawaii International Conference on System Sciences, vol. 3, p. 79. IEEE Computer Society (2002)
Zargham, M., Sayeh, M.: A web-based information system for stock selection and evaluation. In: Proc. International Conference on Advance Issues of E-Commerce and Web-Based Information Systems, pp. 81–83. IEEE Computer Society (1999)
Zekic, M.: Neural network applications in stock market - a methodology analysis. In: Proc. 9th International Conference on Information and Intelligent Systems, pp. 255–263 (1998)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this paper
Cite this paper
Casanova, I.J. (2012). Portfolio Investment Decision Support System Based on a Fuzzy Inference System. In: Madani, K., Dourado Correia, A., Rosa, A., Filipe, J. (eds) Computational Intelligence. IJCCI 2010. Studies in Computational Intelligence, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27534-0_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-27534-0_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27533-3
Online ISBN: 978-3-642-27534-0
eBook Packages: EngineeringEngineering (R0)