TRADINNOVA-FUZ: FUZZY PORTFOLIO INVESTMENT - Dynamic Stock Portfolio Decision-making Assistance Model based on a Fuzzy Inference System

Isidoro J. Casanova

Abstract

This paper describes a decision system based on rules for the management of a stock portfolio using a fuzzy inference system to select the stocks to be incorporated. This system simulates the intelligent behavior of an investor, carrying out the buying and selling of stocks, such that during each day the best stocks will be selected to be incorporated in the portfolio with the use of technical indicators using a fuzzy logic based approach. The proposed novel fuzzy system only has a simple strict set of rules to decide if a share is bought or not, unlike other systems that also include rules for the sale and have a lot of complicated rules. 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.

References

  1. Amenc, N. and Sourd, V. L. (2003). Portfolio Theory and Performance Analysis. Wiley Finance.
  2. Atsalakis, G. and Valavanis, K. (2009). Forecasting stock market short-term trends using a neuro-fuzzy based methodology. Expert Systems with Applications, 36(7):10696-10707.
  3. BME (2009). Bolsas y Mercados Espan˜oles. Normalidad de las series financieras. http://www.bolsasymercados.es.
  4. Cheung, W. and Kaymak, U. (2007). A fuzzy logic based trading system. In Proc. on the 3rd European Symposium on Nature-inspired Smart Information Systems.
  5. Dourra, H. and Siy, P. (2002). Investment using technical analysis and fuzzy logic. Fuzzy Sets and Systems, 127(2):221-240.
  6. INVERCO (2009). Asociación de Instituciones de Inversión Colectiva y Fondos de Pensiones. Ranking Fondos Inversión a 31-12-2009. http://www.inverco.es.
  7. Kosko, B. (1992). Neural network and Fuzzy systems. A dynamical systems approach to machine intelligence. Prentice Hall Press.
  8. Malkiel, B. (1973). A Random Walk Down Wall Street. W. W. Norton & Company.
  9. Murphy, J. (1999). Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications. Prentice Hall Press.
  10. Sun, H. and Liu, L. (2002). A linear output structure for fuzzy logic controllers. Fuzzy Sets and Systems, 131(2):265-270.
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Paper Citation


in Harvard Style

J. Casanova I. (2010). TRADINNOVA-FUZ: FUZZY PORTFOLIO INVESTMENT - Dynamic Stock Portfolio Decision-making Assistance Model based on a Fuzzy Inference System . In Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICFC, (IJCCI 2010) ISBN 978-989-8425-32-4, pages 67-72. DOI: 10.5220/0003058400670072


in Bibtex Style

@conference{icfc10,
author={Isidoro J. Casanova},
title={TRADINNOVA-FUZ: FUZZY PORTFOLIO INVESTMENT - Dynamic Stock Portfolio Decision-making Assistance Model based on a Fuzzy Inference System},
booktitle={Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICFC, (IJCCI 2010)},
year={2010},
pages={67-72},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003058400670072},
isbn={978-989-8425-32-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICFC, (IJCCI 2010)
TI - TRADINNOVA-FUZ: FUZZY PORTFOLIO INVESTMENT - Dynamic Stock Portfolio Decision-making Assistance Model based on a Fuzzy Inference System
SN - 978-989-8425-32-4
AU - J. Casanova I.
PY - 2010
SP - 67
EP - 72
DO - 10.5220/0003058400670072